CN111612208A - Collaborative optimization system and method for large-scale non-gathering and transportation oil well group production and pulling and transportation scheduling - Google Patents

Abstract

The invention relates to a large-scale non-gathering and transporting oil well group production and pulling and transportation scheduling collaborative optimization system, comprising: a production capacity acquisition module used to collect the production capacity parameters of a single pull tank, a vehicle-mounted monitoring and monitoring module used to collect the working parameters of an oil tanker, And the dispatching cloud set in the oilfield command center; the dispatching cloud is respectively connected with the production capacity acquisition module and the vehicle monitoring and monitoring module, so that the dispatching cloud can output based on the production capacity parameters and/or working parameters for the oil tankers to separate geographical locations from each other. The crude oil in the single pulling tank is pulled to the oil unloading point; the on-board monitoring and monitoring module is connected with the oil unloading module set in the well area through the near field communication module. The invention enables safe and reliable operation of the oil tanker and controllable production of a single pull tank.

Description

Collaborative optimization system and method for large-scale non-gathering and transportation oil well group production and pulling and transportation scheduling

technical field

The invention relates to the technical field of smart oil transportation engineering, in particular to a large-scale non-gathering and transportation well group production and pulling and transportation scheduling collaborative optimization system and method.

Background technique

The oil wells on the oilfield site can be divided into two types according to the methods of producing crude oil and pulling oil outward: one is pipeline gathering and transportation wells. Most of the oil wells in the oil field use this method to transport oil. The other is single-pull tank wells. Because the pumping wells in remote areas are located in remote locations of various oil production operation areas and are sparsely distributed, the cost performance of constructing oil pipelines is extremely low. Therefore, large tanks beside the pumping wells are used to store oil regularly or quantitatively The oil tanker pulls oil for storage and oil pulling. Some onshore oilfield blocks in my country are low-permeability and low-pressure wells, which are not suitable for pipeline gathering and transportation. To sum up, single-pull tank wells exist in large numbers in oilfields and are widely used.

At present, the liquid level measurement of the large tank next to the pumping unit adopts the manual timing measurement method, and it is necessary to send a special person and a special vehicle to measure the liquid level on a regular basis. At present, this method of measuring and pulling oil consumes a lot of manpower and material resources, and it is impossible to grasp the liquid level, temperature and water content of the oil tank in real time, and there is a risk of closing the well and condensing the tank when the tank is full. Therefore, it is urgent to find an economical and safe method. to resolve this issue. .

The scheduling of oil tankers is completely dependent on the notification of the dispatch center. It can only passively perceive the information of oil wells that are about to be full, and then send vehicles to pull oil. It is impossible to dispatch all the oil tanks in the oil area as a whole. Such a scheduling method greatly wastes vehicle resources, and the cost of fueling vehicles is high. Therefore, it is necessary to find an optimal scheduling scheme to reduce the cost of fueling.

For example, a non-pipeline oil and gas storage and transportation management and control device and system disclosed in Chinese Patent Publication No. CN108241351A. The system includes a work area scheduling module, a data center module and a monitoring module that are connected in sequence; the work area scheduling module sends scheduling commands to the data center module through the VPN security gateway; the data center module is composed of a server cluster and a monitoring computer to realize management platform data services; monitoring The module realizes data interaction with the data center module through the wireless network. The invention can realize the seamless monitoring of the whole process of the vehicle from the single well to the oil pulling point to the oil unloading point.

However, the inventors of the present invention found in the process of actually using the intelligent dispatching system that most of the wells in the low-permeability oilfields are located in remote fields with poor communication conditions. On the one hand: when the tanker goes to the well, the tanker is in a state of "possibly lost contact"; on the other hand, the capacity parameters of the single-pull tank with poor communication conditions cannot be transmitted to the oilfield command center in real time, so that the Yu is also in a state of "disconnected work" for this type of single pull tank, which may lead to a loss of control in the well area and the tanker.

In addition, on the one hand, there are differences in the understanding of those skilled in the art; on the other hand, because the inventor has studied a large number of documents and patents when making the present invention, but the space limit does not list all the details and contents in detail, but this is by no means The present invention does not possess the features of the prior art, on the contrary, the present invention already possesses all the features of the prior art, and the applicant reserves the right to add relevant prior art to the background art.

SUMMARY OF THE INVENTION

Aiming at the deficiencies of the prior art, the present invention provides a non-gathering and transportation well group production and pulling and transportation collaborative optimization system.

The traditional non-gathering and transporting oil pulling process is as follows: the crude oil collected by a single well is gathered into a single pulling tank through a short-distance pipeline for temporary storage, and then the tanker is manually assigned to the single pulling tank to take oil, and the tanker will obtain the oil. Crude oil is transported to the unloading point. However, low-permeability oilfields have low production, low permeability, and low abundance. There are large and medium-sized oilfields that are integrated and scattered small oilfields. The reserves in a single block are small in scale, scattered in distribution, and large in regional span. The investment in the transportation process is high and the cost is high, and the surface production system needs to be further simplified to be beneficial. Therefore, such non-gathering and transportation wells usually adopt the method of single-well tank oil gathering and regular pulling for production. The decision-making department of the oil well production system and the operation scheduling department of the oil tanker operate independently and independently, which not only causes high crude oil transportation costs, but also may lead to problems such as wellbore sand production, wax deposition, large production loss or even full tank production shutdown, which makes oil well production Potential cannot be fully released. Therefore, how to coordinate the oil well production and pulling process, optimize the pulling mode and operating parameters, and form a reasonable production scheduling plan is very important for improving oil well production, reducing unit crude oil pulling cost, and improving enterprise efficiency.

To this end, the system includes: a capacity acquisition module for collecting the capacity parameters of a single pull tank, a vehicle-mounted monitoring and monitoring module for collecting the working parameters of the oil tanker, and a dispatch cloud set in the oilfield command center. The dispatching cloud is respectively connected in communication with the production capacity acquisition module and the on-board monitoring and monitoring module, so that the dispatching cloud can output based on the production capacity parameter and/or the working parameter for the tank truck to perform geographic mapping. The oil pulling scheme in which the crude oil in the single pulling tanks with different positions is pulled to the oil unloading point.

However, in the actual production process, some wells in low-permeability oilfields are in an environment of "disconnection from work", and oil tankers may also enter the communication blind area and "disconnect" in the field. Therefore, after the intelligent scheduling is adopted, the staff is reduced or the strength of the staff is reduced, but this brings the risk of no manual monitoring: 1. The productivity parameters of the well area in the "disconnected work" may appear Great deviation; 2. After the tanker loses contact, its safety at work is difficult to guarantee and the driver may store the crude oil inside the tanker privately. To this end, it is necessary to monitor the tank trucks that may be in a "disconnected" state and well areas that may be in a "disconnected" state for some time. Therefore, in the present invention, the on-board monitoring and monitoring module is connected with the oil unloading module disposed in the well area through a near field communication module. Even when the oil tanker and the well area are in a "disconnected" state, the two can exchange data. First, the on-board monitoring and monitoring module and the oil unloading module can verify each other to ensure that each other's oil unloading work conforms to the transportation plan. Second, the production capacity parameters can be sent to the dispatching cloud by the on-board monitoring and monitoring module with a lag when the tanker enters the communication area, thereby increasing the number of times the production capacity parameters are sent to the dispatching cloud and reducing the deviation of the production capacity parameters. Third, the working parameters of the oil tanker can be transmitted to the dispatching cloud through the oil unloading module when the well area is in a short-term smooth communication, so that the dispatching cloud can obtain when the oil tanker appeared in the well area, which is convenient for traceability or Predict the route of the tanker truck. Therefore, through the above methods, even if the well area is in a "disconnected" state and the tank truck may be in a "disconnected" state, the on-board monitoring and monitoring module and the oil unloading module collect data from each other, thereby enabling the dispatching cloud to The data collected from each other are verified by each other, so that the well area and the oil tanker are in a state of "lost connection" but not "out of control", so as to realize the loss of connection but controllable production.

According to a preferred embodiment, the oil unloading module is connected in communication with the production capacity acquisition module, so that the production capacity parameters collected by the production capacity acquisition module can be in the form of point data via the on-board monitoring and monitoring module. Indirectly uploaded to the scheduling cloud.

According to a preferred embodiment, the capacity collection module directly and intermittently uploads the capacity parameters to the scheduling cloud in the form of group data.

According to a preferred embodiment, the scheduling cloud can coordinate the oil pumping parameters of some of its corresponding pumping units based on the position parameters of the oil tanker to adjust the production capacity of the single tank, so as to prevent all The crude oil in the single pull tank is full.

According to a preferred embodiment, the dispatching cloud can send the oil pulling scheme in the form of an electronic tag to the on-board monitoring and monitoring module and the oil unloading module on the single pulling tank in a one-to-one correspondence manner, respectively. , so that the oil unloading module can deliver the crude oil corresponding to the oil amount of the oil pulling scheme to the oil tanker based on the mutual authentication of the electronic tag and the on-board monitoring module.

According to a preferred embodiment, the production capacity acquisition module is configured with at least two frequencies for sending the production capacity parameter to the dispatching cloud, wherein the first frequency is that the dispatching cloud sends the oil pulling plan to the oil dispatching cloud. Before the tanker, the second frequency is after the dispatch cloud sends the oil pulling plan to the tanker, wherein the first frequency is smaller than the second frequency.

According to a preferred embodiment, under the condition of authorization from the dispatching cloud, the on-board monitoring and monitoring modules on the same tanker can be communicatively connected with the capacity acquisition modules on some of the corresponding single-pull tanks.

According to a preferred embodiment, the liquid level sensor on the oil tanker is connected to the dispatching cloud via the on-board terminal, so that the dispatching cloud can correct the single pull tank based on the liquid level sensor historical capacity curve.

According to a preferred embodiment, the collaborative optimization system includes an early-warning module, and the early-warning module is configured to: when the fluctuation value of the production capacity parameter exceeds a preset fluctuation threshold, can report to the scheduling cloud and/or The vehicle-mounted terminal sends out an early warning signal.

According to a preferred embodiment, the scheduling cloud configures the pulling sequence in the following manner: fitting the actual production capacity curve of each single pulling can according to the production capacity parameters of several single pulling cans obtained intermittently, and based on the actual production capacity curve Comparing with the respective historical production capacity curves to obtain the safe unloading time of each single can; and generating the pulling sequence of the single can based on the safe unloading time.

According to a preferred embodiment, the present invention also discloses a method for monitoring the pulling and transportation of a group of non-gathering and transportation wells, which is used in the above-mentioned collaborative optimization system.

Description of drawings

Fig. 1 is the module schematic diagram of a kind of collaborative optimization system provided by the present invention; And

FIG. 2 is a schematic diagram of oil pulling of a collaborative optimization system provided by the present invention.

List of reference signs

100: Capacity acquisition module 300: Vehicle monitoring and monitoring module

200: Scheduling cloud 400: Oil unloading module

T _i : single pull tank S _k : oil discharge point

O: Oilfield command center C _j : Oil tanker

Detailed ways

The detailed description will be given below in conjunction with Figures 1 and 2.

In the present invention, the main terms are explained:

The scheduling of crude oil pulling operations in non-gathering and transportation well groups refers to a series of processes such as oil loading, transportation, and unloading of crude oil from the beginning of the oil well tank to the end of the oil unloading point. The scheduling plan at least includes: planning the oil volume of a single well oil tank, pipeline, oil filling volume, vehicles and driving routes.

The production capacity parameter refers to a parameter that can reflect the amount of crude oil in a single pull tank, for example, including at least one of the crude oil liquid level in the storage tank, the pressure in the storage tank, and the flow rate of crude oil inflow.

The oil pulling scheme includes the order of single pulling, the amount of oil that needs to be pulled for each single pulling, the travel route, etc., the oil capacity of the tanker, and the running speed of the tanker. That is, the crude oil in the single pull tanks _Ti with different geographical locations is pulled to the unloading point _Sk .

Working parameters: the location, driving route, driving time, etc. of the tanker.

Point data (t: H): The relationship between a time point and a production capacity parameter. For example, at time t: 01:01:01 on January 1, 2020, and the crude oil level H is 20L, the point data is (01:01:01 on January 1, 2020, 20L).

Group data (t1: △t: △H): The corresponding relationship between the changes in the production capacity parameters within a period of time calculated from the production capacity parameters corresponding to several time points. For example, at time t1: 01:01:01 on January 1, 2020, the crude oil level is 20L, and at time t2: 01:02:01 on January 1, 2020, and the crude oil level is 20.02L, then The amount of change was 0.02L/min, and the group data was expressed as (01:01:01 on January 1, 2020: 1min: 0.02L/min).

Example 1

This embodiment discloses a large-scale non-gathering and transportation well group production and pulling and transportation scheduling collaborative optimization system. This includes a capacity acquisition module 100 , a scheduling cloud 200 and a vehicle-mounted monitoring and monitoring module 300 . As shown in FIG. 2 , the capacity collection module 100 is connected in communication with the scheduling cloud 200 . The vehicle-mounted monitoring and monitoring module 300 is connected in communication with the dispatching cloud 200 . A module in the present invention refers to hardware, software or a combined data processor capable of executing its related steps.

The dispatching cloud 100 generates an oil pulling plan based on the production capacity parameters, the number of vehicles of the tanker, the oil load, road conditions, weather factors, etc., according to the intelligent dispatching model. The oil pulling scheme is dispatched to the on-board monitoring and monitoring module 300 of the oil tanker in the form of a task. After confirming the oil-pulling plan, the driver executes the oil-pulling plan according to the oil-pulling plan. The scheduling cloud 200 can obtain the production capacity parameters of the single-pull cans Ti in different geographical locations, forming an IoT networking. In addition, in the process of the oil tanker executing the oil pulling scheme, it can also acquire the driving parameters of the on-board monitoring and monitoring module 300 .

The steps for establishing an intelligent scheduling model include at least:

1. Establish a multi-dimensional data fusion model. Firstly, the importance variables are defined for the transportation scheduling data and oil well production data, and together with the discretized oilfield basic data, a multi-granularity decision-making system is formed. Then, a sliding window mechanism is constructed for multi-time granular data such as production, water content, liquid level, pulling route, vehicle running time, etc., and multi-scale sampling method and multi-granularity decision-making system are used to achieve effective data fusion. Event fusion data model.

2. Realize oil well forecast and early warning. Relevant data is extracted from the data model of granular computing, firstly, the dimension of the data is reduced based on the improved principal component analysis method, and then the multivariate correlation analysis is realized by using the correlation analysis method. Next, a prediction model is established based on the long-term and short-term neural network to realize production prediction, and then an early-warning model for the liquid level of a single well tank is established to realize real-time evaluation and early-warning of the pulling demand.

3. Optimization of crude oil pulling and transportation scheduling for large-scale non-gathering and transportation well groups. Firstly, the correlation analysis is carried out on the factors that affect the decision-making of the pulling and transportation plan in the pulling and transportation scheduling process, and then a large-scale pulling and transportation scheduling model is built by using the mathematical programming method, and the time expression of the model and related decision variables are determined to minimize the unit pulling transportation cost. As the objective function, the optimal pull route, oil load, vehicle arrangement and other pull plans are solved.

4. Collaborative optimization of production and pulling of large-scale non-gathering and transportation well groups. Firstly, the dynamic correlation characteristics between the demand for crude oil pulling and the output of the oil well production system are analyzed, the active control model of the crude oil pulling system adapting to the dynamic output of the production system of the oil well group is established, and the coupling model is established by applying mathematical programming method and data analysis. The bee colony algorithm for multi-objective collaborative optimization.

5. Based on cost-sensitive real-time evaluation. The cost function is established through indoor sand table simulation and field actual data sets. The cost function mainly studies the direct economic cost factors such as oil production of oil well groups, vehicle sets, labor and freight; combined with evaluation indicators, real-time evaluation of the production status of oil well groups, liquid level prediction and scheduling plan recommendation effect, and feedback to the corresponding system input It forms a closed-loop adaptive control system.

The scheduling cloud 200 includes an operating system, a CPU memory stick, a CPU, a display screen, and the like.

The production capacity acquisition module 100 is used to monitor the single pull can T _i (i takes the production capacity parameter of a natural number). The number of i depends on the number of low-permeability wells covered by the oilfield command center. As shown in Figure 1, the single pull cans _Ti are scattered in different geographical locations. The distances between the pumping units covered by the low-permeability oilfield command center are far apart, ranging from tens of kilometers to hundreds of kilometers. Generally, the oilfield command center O is established near the geometric center of a plurality of pumping units or established according to geographical factors. The unloading point _Sk is generally established in a location with convenient transportation. Therefore, the oilfield command center O and the oil unloading point _Sk will also be geographically different. The capacity acquisition module of remote well oil storage tank includes smart lock, YDPT150W multi-parameter integrated transmitter and YD210L control box. The intelligent lock realizes the monitoring of the valve status of the oil outlet of the oil tank; the YDPT150W multi-parameter integrated transmitter measures the liquid level, temperature, pressure and water content of the oil tank in real time; through the YD210L real-time collection, storage, and remote data transmission. During the oil filling process, the data of YD210L can be obtained by the on-board terminal, for example, there is no remote communication network on site. After the in-vehicle terminal downloads data through WiFi, when there is a communication network, the data can be returned online and fed back to the dispatching cloud 200. The production capacity acquisition module 100 of the remote well oil storage tank monitors the temperature, pressure, liquid level, oil outlet valve status, etc. in the tank in real time through the integration of software and hardware, and realizes the alarm of temperature and liquid level exceeding the limit, automatic calculation of liquid production, and oil-water analysis. Calculation, calculation of the amount of oil pulled by the tanker, and interlocking control with the heating system of the oil storage tank to realize remote pre-heating in advance and constant temperature/energy-saving dual-mode control heating.

Vehicle-mounted monitoring and monitoring module 300: monitoring the oil tanker. The system is mainly composed of intelligent lock control, valve lock, manhole lock, video, liquid level and the like. Oil tanker monitoring is based on RFID lead sealing, Beidou/GPS satellite positioning, 2G/3G/4G full Netcom data communication and 3G video surveillance and other technologies to realize trajectory tracking, real-time positioning, route planning, remote Lead sealing, real-time monitoring and alarm functions. It can significantly improve the monitoring and management level, work efficiency and safety of oil tanker trucks. Carry out technical upgrading and transformation of the oil filling port and oil discharge port valve of the oil tanker to realize the electronic seal management function. During the entire operation process of oil loading, oil pulling and oil unloading, all real-time status information will be intelligently coordinated by the single pulling tank. Optimize the real-time monitoring and recording of the system to realize the visual traceability of the whole process. For the oil loading port and oil unloading port of the oil tanker, a high mechanical strength electronic lead sealing device is used. After the system is sealed, the valve cannot be opened during the oil pulling process. Unblocking can only be achieved after the command is executed. In the event of violent damage to the valve, the platform can alarm in real time, effectively preventing the occurrence of oil theft, and meeting the safety supervision requirements for oil pulling. The main monitoring contents of the oil tanker monitoring include the driving track, the stop point, the driving time, the mileage, the unsealing record, the switch status of each tank port, the journey time from the oil pulling point to the oil unloading point, the tank cover and The oil unloading valve remains locked, which has the effect of "locking" the oil tanker on the road. The single-pull vehicle-mounted monitoring and monitoring module 300 can dynamically monitor and record the tanker in real time, realize wireless monitoring of the position, trajectory, locking status, violation alarm, etc. of the tanker, and realize the unified authorization of the single-pull intelligent collaborative optimization system, IC card and Handheld terminal joint management, intelligent sealing/unsealing, anti-theft. The entire oil pulling process can be linked with the electronic lead seal, automatic intelligent risk analysis, and visualized tracking of the whole process.

Real-time monitoring of single-pulling well site:

Data collection of temperature, liquid level and water content: each single pull tank is installed with a YDPT150W multi-parameter integrated transmitter to collect the liquid level, temperature and water content in the oil storage tank in real time, and transmit the collected data through the wireless network to the system. The system can calculate the amount of oil that the tanker transports from each single pull tank each time according to the change in the liquid level.

Real-time video monitoring: Infrared cameras are installed in the single-tank well site, and the dual-camera mode is adopted to monitor the oil-pulling picture of the on-site tanker in real time. The surveillance video is transmitted to the system through the wireless network.

Intelligent perimeter prevention: According to the monitoring video, the principle of light vibration sensing is used to detect the status of the well site fence, monitor whether non-workers enter the well site, and realize linkage alarm.

Real-time monitoring of tank vehicles:

Install GPS positioning system and liquid level gauge on the vehicle to collect the running status of the vehicle. The system can display the vehicle's speed, position, direction, driver and other information in real time, and clearly display the vehicle's location and other information on the electronic map. The map can choose to display information for all vehicles at the same time, or you can choose to display information for a specific vehicle. The map can be scaled.

If the vehicle stays in a certain place for more than a specified time, the system will automatically issue an alarm message, and the detailed information should be displayed as "stop overtime" and other similar sentences. If the vehicle deviates from the system-specified driving route by a certain distance or a certain time, the system will automatically issue an alarm message, and the detailed information should be displayed as a sentence such as "deviation from the specified driving route" and the like.

The system can record the amount of oil transported from each single pull tank by the tanker every time according to the change of the tanker's liquid level.

Real-time monitoring of unloading points:

Sensors are installed in the oil storage tank at the oil unloading point to monitor the temperature, liquid level and water content of the oil storage tank in real time, and further calculate the amount of oil unloaded into the oil storage tank by each tank truck.

Example 2

This embodiment may be a further improvement and/or supplement to Embodiment 1, and repeated content will not be repeated. The whole and/or part of the contents of the preferred implementations of other embodiments may be used as supplements to the present embodiment without causing conflict or contradiction.

Preferably, the on-board monitoring and monitoring module 300 is connected with the oil unloading module 400 disposed in the well area through a near field communication module. For example, the on-board monitoring and monitoring module 300 and the oil unloading module 400 may be connected via Bluetooth, Wifi, and the like. The oil unloading module 400 is preferably a smart lock. First, the on-board monitoring and monitoring module and the oil unloading module can verify each other to ensure that each other's oil unloading work conforms to the transportation plan. Second, the production capacity parameters can be sent to the dispatching cloud by the on-board monitoring and monitoring module with a lag when the tanker enters the communication area, thereby increasing the number of times the production capacity parameters are sent to the dispatching cloud and reducing the deviation of the production capacity parameters. Third, the working parameters of the oil tanker can be transmitted to the dispatching cloud through the oil unloading module when the well area is in a short-term smooth communication, so that the dispatching cloud can obtain when the oil tanker appeared in the well area, which is convenient for traceability or Predict the route of the tanker truck. Therefore, through the above methods, even if the well area is in a "disconnected" state and the tank truck may be in a "disconnected" state, the on-board monitoring and monitoring module and the oil unloading module collect data from each other, thereby enabling the dispatching cloud to The data collected from each other are verified by each other, so that the well area and the oil tanker are in a state of "lost connection" but not "out of control", so as to realize the loss of connection but controllable production.

Since single pull tanks are located in remote areas, if the capacity acquisition module 100 transmits data to the dispatch cloud in real time, it will inevitably lead to an increase in communication costs. Therefore, the capacity acquisition module 100 intermittently transmits the capacity parameters to the dispatch cloud. Preferably, the capacity acquisition module 100 directly and intermittently uploads the capacity parameters to the scheduling cloud 200 in the form of group data. The group data can reflect the change trend of the production parameters of the single pull tank over a period of time, and can be used to predict the output of the single pull tank and determine the safe unloading time; however, because the group data is the single pull tank within a period of time. Therefore, it is impossible to obtain how the design capacity of a single pull tank changes during this period of time, which will lead to a cumulative error in the capacity parameter curve over a long period of time. To this end, preferably, the oil unloading module 400 is connected in communication with the production capacity acquisition module 100 . The oil unloading module 400 and the capacity acquisition module 100 may be connected through communication protocols such as Bluetooth, NB-lot, and EnOcean. The capacity acquisition module 100 can transmit the capacity parameters collected by it to the oil unloading module 400 in real time. The oil unloading module can cache the capacity parameters. When the oil unloading module 400 is connected in communication with the on-board monitoring and monitoring module 300 , the oil off-loading module 400 can transmit the production capacity parameter to the on-board monitoring and monitoring module 300 in the form of point data. The in-vehicle monitoring and monitoring module 300 can transmit the production capacity parameters stored in the point data to the dispatching cloud 100 under the condition of establishing communication with the dispatching cloud 200 . Since the point data can reflect the production capacity parameters corresponding to several moments, especially the production capacity parameters corresponding to each moment in the period of time used to calculate the configuration data, the scheduling cloud 200 can combine the point data due to the increase in the number of samples collected. The data corrects the production capacity history curve of the single pull can or refits the production capacity history curve to reduce the cumulative error.

Example 3

This embodiment may be a further improvement and/or supplement to Embodiment 1, and repeated content will not be repeated. The whole and/or part of the contents of the preferred implementations of other embodiments may be used as supplements to the present embodiment without causing conflict or contradiction.

The pumping units in low-permeability oilfields are scattered and far away from the oilfield operation command center. The tanker truck is a three-point-one-line operation mode, that is, the tanker truck will travel long distances between the tanker yard, single-drag tank, and oil unloading points. . And in order to maximize economy and productivity, the tanker will serve different single tanks during one oil pulling task. Compared with conventional oilfields, low-permeability oilfields have the characteristics of large fluctuation range of production data and high failure rate. In the process of implementing the oil pulling plan, the oil tanker will encounter many uncertainties, such as the rapid flow of crude oil into a single pulling tank, the breakdown of the oil tanker, weather changes, and debris flows, etc. factor. Moreover, because the low-permeability oilfield uses a non-gathering and transportation method to pull oil, the pumping unit will stop pumping once its single pulling tank is full of oil. The loss of energy consumption of the machine may also lead to changes in the osmotic pressure of the underground oil layer, thus making the pumping well face scrapping. Therefore, in the process of executing the oil pulling plan of the oil tanker, how to dynamically update the operation plan of the oil tanker according to the oil well production parameters, the motion parameters of the oil tanker and various uncertain factors is an urgent problem in the art.

Preferably, in a single-pull tank area, the capacity acquisition module 100 includes a YDPT150W multi-parameter integrated transmitter and a YD210LRTU control terminal measurement and control box. The YDPT150W multi-parameter integrated transmitter can collect and measure the liquid level, temperature, pressure and water content of the oil storage tank in real time. The YDPT150W multi-parameter integrated transmitter is top-mounted on the oil measuring port at the top of the storage tank, and transmits the liquid level, temperature, pressure, water content and other signals to the YD210LRTU control terminal measurement and control box through RS485 signals. The RTU control terminal measurement and control box mainly completes the collection and data communication transmission functions of the storage tank temperature, pressure, liquid level, water content, liquid production and other data. Preferably, the capacity collection module 100 sends the capacity parameter to the scheduling cloud 200 in an intermittent manner.

To this end, this embodiment provides a large-scale non-gathering and transporting well group production system, which is especially applied to low-permeability oil fields, including: capacity acquisition modules on single-pull tanks in different geographical locations, for collecting the output of the single-pull tanks. At least one production capacity parameter, and intermittently sends the at least one production capacity parameter to the scheduling cloud, and the scheduling cloud: it networking the single-pull cans in different geographic locations in a way that can obtain the production capacity parameter, and According to the production capacity parameter, the oil pulling scheme for the oil tanker to pull crude oil in single pulling tanks with different geographical locations to the oil unloading point is output, and the oil pulling scheme can be executed by the oil tanker in the process of executing the oil pulling scheme. The oil pulling scheme is dynamically updated according to the at least one production capacity parameter and sent to the on-board monitoring and monitoring module, and the on-board monitoring and monitoring module, which is installed in the oil tanker and communicated with the dispatching cloud for all The scheduling cloud can dynamically update the oil pulling scheme based on the driving parameters of the oil tanker in the process of executing the oil pulling scheme by the oil tanker and feed back the oil pulling scheme to the on-board monitoring and monitoring module.

In addition, the pumping units are scattered in different geographical locations and are far from the oilfield command center, and the real production can only be reflected by the intermittently sent production capacity parameters. The production capacity parameter reaching the oilfield command center is intermittent, while the pumping unit is constantly working and its output is continuous in time. How to determine the oil pulling scheme and/or update the oil pulling scheme according to the continuous production reflected by the intermittent production capacity parameters is a problem that needs to be further solved.

However, in the process of carrying out the oil-pulling plan, the oil-tank truck will encounter many problems, such as the single-pulled crude oil inflow speeding up, the oil tanker breaking down, weather changes, mudslides, etc. Uncertainties. Moreover, because the low-permeability oilfield uses a non-gathering and transportation method to pull oil, the pumping unit will stop pumping once its single pulling tank is full of oil. The loss of energy consumption of the machine may also lead to changes in the osmotic pressure of the underground oil layer, thus making the pumping well face scrapping.

Preferably, the scheduling cloud 200 can dynamically update the oil pulling scheme according to at least one capacity parameter during the process of executing the oil pulling scheme for the tank truck C _j . For example, the original oil pulling scheme is (T ₁ →T ₂ →T ₃ →T ₄ , and the amount of oil to be unloaded for each single pulling tank is (V ₁ →V ₂ →V ₃ →V ₄ . For example, in oil When the tanker C _j executes the oil pulling plan, the liquid level in the _T3 single pulling tank increases faster, and at this time the tanker C _j is filling the T3 single pulling tank with oil, the scheduling cloud 200 can be based _on the T3 single pulling tank. ₃ The liquid level in the single pull tank updates the oil pulling scheme. For example, the updated oil pulling scheme is: (T ₁ →T ₃ →T ₄ , while the T ₂ single pull tank is dispatched by another oil tanker C _j Oil pulling _. Alternatively, the updated oil pulling scheme can also be: (T ₁ →T ₂ →T ₃ →T ₄ , and the amount of oil to be unloaded for each single pulling tank is (V ₁ →V ₂₀ →V ₃₀ ) →V ₄ , V ₂₀ is less than V ₂ , and V ₃₀ is greater than V _30. The dynamically updated oil pulling scheme is sent to the on-board monitoring and monitoring module 300 .

Preferably, the scheduling cloud 200 can dynamically update the oil pulling scheme based on the driving parameters of the oil tanker C _j during the process of executing the oil pulling scheme of the oil tanker C _j . . The driving parameters include driving speed, driving path, position parameters and other parameters that can reflect the movement of the oil tanker. For example, the in-vehicle monitoring and monitoring module 300 includes a GPS positioning system, and the scheduling cloud 200 can obtain its location parameters. For example, for example, the original transportation scheme is (T ₁ →T ₂ →T ₃ →T ₄ ), and the oil quantity to be unloaded for each single pull tank is (V ₁ →V ₂ →V ₃ →V ₄ ). During the process from T ₁ to T ₂ , the oil pulling tanker may encounter weather factors, which may cause the time lag of its arrival at the T ₂ single pulling tank. During this period, the T ₂ single pulling tank is continuously feeding oil. At this time, the data service module 200 can update the oil unloading amount V ₂ of the T ₂ oil tank according to the position parameter (for example, increase the oil unloading amount to 120% V ₂ ); Then, the data service module 200 can assist it to transport oil according to the oil tanker of other lines _.

Preferably, the scheduling cloud 200 can coordinate the pumping parameters of some of its corresponding pumping units based on the position parameters of the tank truck C _j to adjust the production capacity of the single-drawing tank Ti, so as to prevent the crude oil in the single-drawing tank Ti from being filled Full. For example, for example, the original transportation scheme is (T ₁ →T ₂ →T ₃ →T ₄ ), and the oil quantity to be unloaded for each single pull tank is (V ₁ →V ₂ →V ₃ →V ₄ ). During the process from T ₁ to T ₂ , the oil pulling tanker may encounter weather factors, which may cause the time lag of its arrival at the T ₂ single pulling tank. During this period, the T ₂ single pulling tank is continuously feeding oil. At this time, the data service module 200 may issue an adjustment instruction to adjust the operating frequency of the pumping unit corresponding to the T ₂ single-pull tank, such as reducing the motor speed.

Preferably, the dispatching cloud 200 can send the oil pulling scheme in the form of an electronic label to the on-board monitoring and monitoring module 300 and the oil unloading module 400 on the single pulling tank _Ti in a one-to-one correspondence manner, so that the oil unloading module 400 can Based on the mutual authentication between the electronic tag and the on-board monitoring and monitoring module 300 , the crude oil corresponding to the oil quantity of the oil pulling scheme is delivered to the tank truck C _j . At present, the oil drain valve is protected by adding a chain lock. The chain is locked by a common padlock. When the oil operator enters the oil field, he is accompanied by the oil worker to the well site, and the oil worker uses the key to protect the lock. Open, and manually open the valve to drain the oil. In order to reduce the work intensity of oil extraction workers and improve the level of safety regulations for oil pulling, the oil discharge valve of the oil storage tank needs to be equipped with an intelligent electric lock, which can authorize the unlocking function of the oil filling personnel. After the system is put into operation, after the oil pulling driver enters the designated oil pulling well site, he will verify each other through the electronic tag and/or obtain the unlocking operation code of the smart lock of the well site in cipher text, and the electronic lock will be opened by the handheld terminal through the bluetooth method. Oil filling operation.

Preferably, under the authorization of the dispatching cloud 200, the on-board monitoring and monitoring module 300 on the same tanker C _j can be connected to the production capacity acquisition module 100 on the corresponding part of the single tank T _i . Preferably, the liquid level sensor on the tanker C _j is connected to the dispatching cloud 200 via the on-board terminal 300 in communication, so that the dispatching cloud 200 can correct the historical production capacity curve of the single pull tank Ti based on the liquid level sensor. The tank data establishes communication with the handheld terminal through WiFi. When the tank truck enters the field, the handheld terminal reads the tank liquid level. After the network conditions are met, it is generally when the tank truck returns to the oil drain. Then upload it to the single-pull intelligent collaborative optimization system.

Preferably, the early warning module is configured to send an early warning signal to the dispatch cloud 200 and/or the vehicle terminal 300 when the fluctuation value of the production capacity parameter exceeds a preset fluctuation threshold. The fluctuation value of vehicle energy parameters mainly has the following two situations: first, oil theft; second, output change. Oil theft will occur at any time other than oil filling, and the liquid level will fluctuate greatly. At this time, the dispatching cloud 200 can issue an early warning signal. The early warning signal can be issued by means of a prompt sound or the like. The production fluctuation refers to the production fluctuation caused by the failure of the pumping unit or the production fluctuation caused by the change of the oil layer osmotic pressure. At this time, the scheduling cloud 200 can send an early warning signal, and the early warning signal can be issued by means of a prompt sound or the like. In both cases, an early warning signal can be sent to the in-vehicle terminal 300 to prompt the driver to take evasive action to prevent life from being threatened.

Preferably, the scheduling cloud 200: Fits the actual production capacity curve of each single pull tank C _j according to the intermittently obtained production capacity parameters of several single pull tanks C _j . And, based on the comparison between the actual production capacity curve and the respective historical capacity curve, the safe unloading time of each single pull tank C _j is obtained. And based on the safe unloading time, the pulling sequence of single pulling can C _j is generated. The scheduling cloud 200 stores the historical production capacity curve of each single pull tank. This historical capacity curve is derived from the change in liquid level over time over a period of time. The safe unloading time refers to a time point before the single-pull tank is full of oil, and the period from this time point to the time when the single-pull tank is full of oil (the former duration) is greater than or equal to the time when the oil-pull truck arrives at the oil field command center from the oil field command center. Duration of pulling the can (the latter duration). In general, the former duration is greater than 5% to 20% of the latter duration. According to the safe unloading time, the pulling sequence of the single pull tank is arranged, and the amount of oil unloading each time is determined according to the storage capacity of the oil pull tank.

Preferably, the capacity collection module 100 is configured with at least two frequencies for sending capacity parameters to the scheduling cloud 200 . The first frequency corresponds to the dispatching cloud 200 before sending the oil pulling scheme to the tanker C _j , and the second frequency corresponds to after the dispatching cloud 200 sends the oil pulling scheme to the oil tanker C _j , wherein the first frequency is less than the second frequency frequency. This setting is mainly because when the oil tanker starts to implement the transportation plan, the oil volume of the single tank has exceeded the oil amount corresponding to the safe unloading time. In order to prevent the single tank from being full of oil, the first frequency When the frequency is less than the second frequency, the time when the scheduling cloud 200 can obtain the oil quantity of a single pull tank increases, so that it can dynamically adjust the transportation plan and/or coordinately change the working parameters of the pumping unit to change the production capacity parameters.

Example 4

This embodiment may be a further improvement and/or supplement to Embodiments 1 and 2 or a combination thereof, and repeated content will not be repeated. This embodiment discloses that the entire and/or partial contents of the preferred implementations of other embodiments may be used as supplements to this embodiment unless conflicts or contradictions are caused.

The oil tanker is the main monitoring object in this scheme. During the whole process of oil pulling, the oil tanker operates in the following ways:

(1) The loading and unloading of the oil tanker are jointly supervised by the tanker oil pulling unit and the oil production unit;

(2) During the oil loading preparation of the oil tanker, the supervisors of the oil production unit shall seal and seal the oil discharge valve of the oil tanker to avoid theft of crude oil during oil pulling;

(3) After the oil tanker is loaded with oil, the supervisors of the oil production unit will also seal the oil loading port and observation port of the oil tanker with lead seals to prevent the theft of crude oil;

(4) The staff of the oil production unit of the oil pulling point shall issue a loading ticket, and record the oil pulling time, safety monitoring process, lead seal label and other information in detail;

(5) At the oil discharge point of the Union Station, the staff of the oil discharge station will check the integrity of the three seals of the oil tanker, and check the lead seal labels to determine whether there is damage on the way, and carry out the crude oil unloading operation.

According to the set crude oil pulling process, each operation process of the tanker is as follows:

(1) After the oil tanker enters the oil drain platform of the Union Station, the staff in the station will weigh the tanker for the first time to obtain the empty weight, and the staff in the station will input the data of the first weighing through the oil pulling management platform;

(2) The staff in the station assign smart locks to the tank trucks, and lock the three positions of the oil loading port and observation port at the top of the oil tank, and the oil drain port at the bottom of the oil tank to ensure that the oil tank cannot be loaded or unloaded during the crude oil transportation. ;

(3) The station staff assigns the unlocking intelligent terminal and operation recorder to the tanker driver, and the vehicle leaves the departure point of the Union Station and goes to the oil-pulling point for oil-pulling and loading;

(4) After the tank vehicle enters the oil pulling point, the driver shall carry out the vehicle parking, safety inspection, electrostatic discharge, and connection of the oil hose according to the relevant safety regulations. After completing the relevant preparations, the driver opens the tank top oil filling port and the observation port smart lock through the smart terminal, so as to carry out the oil filling preparation;

(5) After the tank truck driver completes the preparation for filling oil, he reads the liquid level of the tank through the handheld terminal, and the user reports the dynamic information of the tank after returning to the oil drain point. The unlock command is issued to the intelligent lock of the tank outlet shut-off valve, so that the tank outlet shut-off valve can be manually opened and the tanker can be loaded with oil;

(6) After filling the oil, the tanker driver manually closes the shut-off valve at the outlet of the storage tank, installs an intelligent station on the shut-off valve, and executes the lock command;

(7) The driver of the tank truck removes the oil filling hose, closes the oil filling port and the observation port closing device on the top of the tank, and blocks it with a smart lock;

(8) During the entire oil filling process, the tanker driver needs to turn on the action recorder throughout the process, and use the intelligent terminal to take photos in key processes;

(9) The vehicle returns to the oil drain point of the Union Station, and the station staff will check the safety measures of the tanker, the opening and closing status of the three smart locks installed on the car body, and the process operations retained on the smart terminal. Make sure that the oil pulling process is complete and the operation is standardized;

(10) The tank vehicle has finished weighing the second weighing, and the station staff will input the second weighing data through the oil pulling management platform;

(11) The staff in the station operate the intelligent terminal for identity authentication. Unlock the smart locks at the oil drain port, loading port and observation port of the tanker;

(12) The tank truck enters the oil drain level, and after completing the operations of vehicle parking, electrostatic discharge, and grounding device connection in accordance with relevant regulations, open the oil drain valve to perform the oil tank drain operation;

(13) The relevant operation process shall be completely recorded by the action recorder. And the intelligent terminal will take pictures of key nodes in accordance with the operating specifications;

(14) After the oil drain is completed, the empty truck returns to the weighbridge for the third weighing. The station staff will input the third weighing information. The background software compares the first heavy information with the second weighing information. If the value is within a reasonable range, end the oil pulling operation, and calculate the oil pulling amount and output the oil knot;

(15) After the oil drain operation is completed, the staff of the union station recovered the smart terminal, 3 sets of locks, and action recorder, and reported the whole operation record of the oil pulling through the one-key operation of the smart terminal, and the data was stored in the warehouse. The action recorder transmits the oil pulling video to the system platform through the data cable or wirelessly.

(16) The main work involved in the tank truck includes the installation and transformation of electromagnetic locks for 2 openings at the top of the tank and 1 oil drain valve at the bottom of the tank. Tanker truck management level.

Example 5

This embodiment also discloses a method for monitoring and controlling the pulling of a group of non-gathering and transportation oil wells, and the method can be implemented by the system of the present invention and/or other replaceable components. For example, the method of the present invention is implemented by using various components in the system of the present invention.

The method includes:

The production capacity parameters of the single pull can T _i are collected by the production capacity collection module 100 .

The working parameters of the oil tanker C _i are collected by the on-board monitoring and monitoring module 300 .

The scheduling cloud 200 can output, based on the production capacity parameter and/or the working parameter _, the oil pulling scheme for the oil tanker C _j to pull the crude oil in the single pulling tanks Ti with different geographical locations to the oil unloading point _Sk for collection. The in-vehicle monitoring monitoring module 300.

The on-board monitoring and monitoring module 300 is connected with the oil unloading module 400 disposed in the well area through a near field communication module.

Preferably, the dispatch cloud 200 is configured to be able to generate an electronic label for mutual authentication between the oil unloading module 400 and the on-board monitoring and monitoring module 300 and corresponding to the oil pulling scheme.

It should be noted that the above-mentioned specific embodiments are exemplary, and those skilled in the art can come up with various solutions inspired by the disclosure of the present invention, and these solutions also belong to the disclosure scope of the present invention and fall within the scope of the present invention. within the scope of protection of the invention. It should be understood by those skilled in the art that the description of the present invention and the accompanying drawings are illustrative rather than limiting to the claims. The protection scope of the present invention is defined by the claims and their equivalents.

Claims (10)

1. Large-scale non-gathering and transportation well group production and pulling and transportation scheduling collaborative optimization system, including: A production capacity acquisition module (100) for collecting production capacity parameters of a single pull can (T _i ), an on-board monitoring and monitoring module (300) for collecting working parameters of a tanker truck (C _i ), and The dispatch cloud (200) set in the oil field command center (O), in, The dispatching cloud (200) is respectively connected in communication with the capacity acquisition module (100) and the vehicle-mounted monitoring and monitoring module (300), so that the dispatching cloud (200) can be based on the capacity parameter and/or the The working parameter output is used for the oil pulling scheme for the oil tanker (C _j ) to pull the crude oil in the single pulling tanks (T _i ) with different geographical locations to the oil unloading point (S _k ); It is characterized in that, The on-board monitoring and monitoring module (300) can establish a data connection with an oil unloading module (400) disposed in the well area. 2. The collaborative optimization system according to claim 1, characterized in that, the dispatching cloud (200) is configured to be able to generate mutual authentication for the oil unloading module (400) and the on-board monitoring and monitoring module (300) and the electronic label corresponding to the oil pulling scheme. 3. The collaborative optimization system according to claim 1 or 2, wherein the oil unloading module (400) is connected in communication with the production capacity acquisition module (100), so that the production capacity acquisition module (100) The collected production capacity parameters can be indirectly uploaded to the scheduling cloud (200) via the vehicle-mounted monitoring and monitoring module (300) in the form of point data. 4. The collaborative optimization system according to one of the preceding claims, characterized in that the capacity acquisition module (100) directly and intermittently uploads the capacity parameters to the scheduling cloud (200) in the form of group data. 5. The collaborative optimization system according to one of the preceding claims, characterized in that the dispatching cloud (200) is capable of coordinating the pumping of its corresponding part of the pumping units based on the position parameters of the oil tanker (C _j ) Oil parameters to adjust the capacity output of the single pull tank (T _i ) for preventing the filling of the crude oil in the single pull tank (T _i ). 6. The collaborative optimization system according to one of the preceding claims, characterized in that the level sensor on the tanker truck ( _Cj ) communicates with the dispatch cloud (200) via the onboard terminal (300) connected, so that the scheduling cloud (200) can correct the historical capacity curve of the single pull tank (Ti) based on the liquid level sensor. 7. The collaborative optimization system according to one of the preceding claims, characterized in that the collaborative optimization system comprises an early warning module, The early warning module is configured to send an early warning signal to the scheduling cloud (200) and/or the vehicle terminal (300) when the fluctuation value of the production capacity parameter exceeds a preset fluctuation threshold. 8. The collaborative optimization system according to one of the preceding claims, characterized in that the scheduling cloud (200) configures the pull sequence as follows: Fit the actual capacity curve of each single pull can (C _j ) according to the intermittently obtained capacity parameters of several single pull cans (C _j ), and compare the actual capacity curve with the respective historical capacity curve to obtain each Safe unloading time of single pull tank (C _j ); A pull sequence for the single pull can (C _j ) is generated based on the safe unloading time. 9. A method for monitoring the pulling and transportation of a group of non-gathering and transportation oil wells, comprising: The production capacity parameters of the single pull can (T _i ) are collected by the production capacity acquisition module (100), The working parameters of the oil tanker (C _i ) are collected by the vehicle-mounted monitoring and monitoring module (300), The dispatching cloud (200) can output, based on the capacity parameter and/or the working parameter, the data for the tank trucks (C _j ) in the single pull tanks (T _i ) that are geographically different from each other. The on-board monitoring and monitoring module (300) used for the collection of the oil-pulling scheme from crude oil to the oil-unloading point ( _Sk ), It is characterized in that, The on-board monitoring and monitoring module (300) establishes a data connection with an oil unloading module (400) disposed in the well area. 10. The monitoring method according to claim 9, characterized in that, the dispatch cloud (200) is configured to be able to generate a data for mutual authentication between the oil unloading module (400) and the on-board monitoring and monitoring module (300). And the electronic label corresponding to the oil pulling scheme.

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