CN112819198B - A factory-based drilling optimization configuration method and system based on cost analysis model - Google Patents

Abstract

The invention relates to a factory drilling optimization configuration method and a factory drilling optimization configuration system based on a cost analysis model, which are characterized by comprising the following steps: 1) Carrying out industrial drilling theoretical research, industrial drilling cost factor research and industrial drilling cost quantitative research, and determining influencing factors influencing industrial drilling cost; 2) Based on the determined influence factors, a complex multi-factor, multi-platform, multi-link and multi-working-condition industrial drilling cost analysis model is established, and scheme optimization and cost analysis are carried out by inputting known target point information and enumerated initial platform number K, and the industrial drilling platform number and well track parameters under the minimum cost are optimized, so that the optimal configuration of industrial drilling is realized. The invention can be widely applied to the field of unconventional oil and gas exploitation.

Description

A factory-based drilling optimization configuration method and system based on cost analysis model

Technical field

The invention relates to a factory-based drilling optimization configuration method and system for a multi-factor, multi-process unconventional oil and gas cost analysis model, and belongs to the field of unconventional oil and gas production.

Background technique

In recent years, with the rapid depletion of conventional oil and gas resources, the exploration and development of new resources has become more difficult. The exploration and development of global oil and gas resources is shifting from traditional conventional oil and gas to a situation of equal emphasis on conventional and unconventional oil and gas. Unconventional oil and gas exploitation become a global trend.

Since 2007, the well factory operation model has greatly improved the economics of exploration and development. First, the smallest well site is used to maximize the reservoir area covered by the development well network, reducing the area occupied by the well site; secondly, multiple wells are drilled and produced in a centralized manner, which reduces labor costs, drilling and completion construction vehicles, and drilling rigs. The moving time is shortened, and the surface engineering and production management are also simplified, which greatly reduces the operating cost; finally, multiple wells are opened, cemented, opened, and then cemented and completed in sequence. There is no need for drilling, cementing, and logging processes. Stop and wait to maximize equipment utilization and improve operating efficiency. At the same time, drilling fluid can be reused for the same operation to reduce drilling costs. In short, the well factory operation model is an effective means to reduce the cost of unconventional oil and gas drilling. It is to centrally arrange a large number of similar wells in the same area and use a large number of standardized equipment or services to drill in a streamlined manner. It is an efficient and low-cost method. operating mode.

Although the well factory drilling technology is very effective in on-site application, the quantitative description of factory drilling costs still lacks theoretical support; in addition, the well factory drilling cost calculation is a system that involves multiple types of work, multiple factors, and different types of factors are closely related. The problem is that it is impossible to optimize all aspects that affect factory drilling.

Contents of the invention

In response to the above problems, the purpose of the present invention is to provide a factory-based drilling optimization configuration method and system based on a cost analysis model, by constructing a factory-based drilling cost of tight oil reservoirs that considers drilling learning rate, batch drilling mode, and drilling fluid reuse. model to optimize the configuration of factory drilling.

In order to achieve the above objectives, the present invention adopts the following technical solution: a factory drilling optimization configuration method based on a cost analysis model, which includes the following steps:

1) Conduct theoretical research on factory drilling, research on factory drilling cost factors, and quantitative research on factory drilling costs to determine the influencing factors that affect factory drilling costs;

2) Based on the determined influencing factors, establish a complex multi-factor, multi-platform, multi-link, and multi-working condition factory drilling cost analysis model, and conduct the analysis by inputting the known target information and the enumerated initial number of platforms K. Plan selection and cost analysis are used to select the number of factory drilling platforms and well trajectory parameters at the minimum cost to achieve the optimal configuration of factory drilling.

Further, in step 2), the method for optimizing the configuration of factory drilling includes the following steps:

2.1) Taking the minimum sum of the horizontal displacements of the control targets as the optimization goal, the improved K-means dynamic clustering algorithm is used to optimize the platform coordinates of each platform;

2.2) Based on the optimized platform-related information, establish a factory drilling cost analysis model to calculate the total cost of each platform;

2.3) Repeat steps 2.1) to 2.2), use the enumeration algorithm to select different number of platforms, and calculate the total drilling cost I _zong corresponding to all the number of platforms in the entire well factory;

2.4) Based on the minimum total cost of the platform I _zong , conduct a comprehensive comparison and optimization of each platform number plan determined in step 2.3), and select the most appropriate set of platform number and empirical trajectory parameters as the final factory-based drilling optimization configuration plan .

Further, in step 2.2), the method of calculating the total cost of each platform based on the optimized platform-related information includes the following steps:

2.2.1) Calculate pre-drilling engineering costs and engineering service fees based on the determined location of the platform and wellhead;

2.2.2) Optimize the well type according to the platform and the location of the target point belonging to the platform. At the same time, optimize the well trajectory according to the given conditions of deflection point, deflection rate and well inclination angle, and calculate the well depth and each opening. length;

2.2.3) Based on the determined well type, well trajectory, and well depth information, the material cost is calculated according to the batch;

2.2.4) Calculate drilling rig and labor costs based on the number of wells on the platform, wellhead layout and drilling cycle. The drilling cycle is calculated based on the drilling cycle of the same type of wells;

2.2.5) For non-quantifiable supervision and management fees and non-quantifiable cost proportion coefficients K ₁ and K ₂ , the coefficients K ₁ and K ₂ are determined by reverse calculation based on the drilled block data, and finally the factory drilling cost analysis model is obtained. ;

2.2.6) Repeat steps 2.2.1) to 2.2.5) to establish a drilling cost estimation model for each platform And calculate the total drilling cost of each platform.

Furthermore, in step 2.2.1), the pre-drilling project cost includes the cost of floor space and the cost of earth and stone. The calculation formulas are:

Among them: I _zq is the total floor area cost of "Well Factory", yuan; K is the number of platforms of "Well Factory", mouth; I _zqi is the floor space cost of platform i in "Well Factory";

Among them, I _P2 is the total well site road construction cost, yuan; I _P2i is the earth and stone cost of a single platform.

Further, in step 2.2.3), the calculation formula for material costs is:

in: is the depth of the nth well, m; H _nj is the drilling length of the jth opening of the nth well, m; d _inj is the unit price per meter of the drill bit, casing, drilling fluid, and cement of the nth well, yuan/ m; 1≤i≤5, _{1≤j≤mopen} ; _{the number of N wells} is the total number of wells on the platform; mopen is the number of wells _opened .

Furthermore, in step 2.2.4), the calculation of the drilling period T _n is obtained based on the drilling learning curve. The method is: in the drilling period calculation, if the block, well type, well type, target layer, and well depth are all the same, then Use the ordinary learning curve T _n =T×e ^bH+c for calculation; if the well depth is different, use the modified learning curve The fitting coefficients b, c and drilling learning rate r are learned through adjacent wells or drilled wells in the block, and then applied to the drilling period T _n of the wells to be drilled in the block.

Furthermore, in step 2.2.5), the factory drilling cost analysis model is:

In the formula, K ₁ and K ₂ are the proportional coefficients of unquantifiable supervision and management fees and unquantifiable expenses respectively; I _zq is the total area cost of the "well factory", yuan; I _P2 is the total well field road construction cost, yuan ; I _M is the total cost of drilling rig relocation and installation in the block; R ₁ is the daily cost of drilling rig and engine demobilization, yuan/day; r is the drilling learning rate; b, c is the learning fitting of adjacent wells or drilled wells in the block coefficient; is the depth of the nth well, m; H _nj is the drilling length of the jth opening of the nth well, m; d _inj is the unit price per meter of the drill bit, casing, drilling fluid, and cement of the nth well, yuan/ m; 1≤i≤5, _1≤j≤m ; I _{d_sever} is the single well directional cost, yuan.

The second aspect of the present invention is to provide a factory drilling optimization configuration system based on a cost analysis model, which includes:

The influencing factor determination module is used to conduct theoretical research on factory drilling, research on factory drilling cost factors, and quantitative research on factory drilling costs, and determine the influencing factors that affect factory drilling costs;

The optimized configuration module is used to establish a complex multi-factor, multi-platform, multi-link, and multi-working condition factory drilling cost analysis model based on the determined influencing factors, and by inputting known target information and enumerated initial platforms Number K, carry out plan selection and cost analysis, select the number of factory drilling platforms and well trajectory parameters at the minimum cost, and realize the optimal configuration of factory drilling.

Further, the optimized configuration module includes:

The platform number optimization module is used to optimize the platform coordinates of each platform using the improved K-means dynamic clustering algorithm with the minimum sum of horizontal displacements of the control targets as the optimization goal;

The platform cost calculation module is used to establish a cost analysis model to calculate the total cost of each platform based on the optimized platform-related information;

The enumeration module is used to use the enumeration algorithm to select the number of different platforms K and calculate the total drilling cost I _zong of all platforms in the entire well factory;

The plan comparison and selection module is used to comprehensively compare and optimize various factory drilling plans based on the total platform cost I _zong minimum, and select the most appropriate set of platform numbers and empirical trajectory parameters as the final factory drilling Optimize the configuration plan.

Furthermore, the cost analysis model established in the platform cost calculation module is:

In the formula, K ₁ and K ₂ are the proportional coefficients of unquantifiable supervision and management fees and unquantifiable expenses respectively; I _zq is the total area cost of the "well factory", yuan; I _P2 is the total well field road construction cost, yuan ; I _M is the total cost of drilling rig relocation and installation in the block; R ₁ is the daily cost of drilling rig and engine demobilization, yuan/day; r is the drilling learning rate; b, c is the learning fitting of adjacent wells or drilled wells in the block coefficient; is the depth of the nth well, m; H _nj is the drilling length of the jth opening of the nth well, m; d _inj is the unit price per meter of the drill bit, casing, drilling fluid, and cement of the nth well, yuan/ m; 1≤i≤5, _{1≤j≤mopen} ; I _{d_sever} is the single well directional cost, yuan; N _{number of wells} is the total number of wells on the platform; mopen is the number of wells _opened .

Since the present invention adopts the above technical solution, it has the following advantages: 1. The present invention performs factory drilling configuration by constructing a tight oil reservoir factory drilling cost model that considers drilling learning rate, batch drilling mode, and drilling fluid reuse. Optimization improves the output efficiency of factory drilling and reduces the production cost of factory drilling. 2. When constructing a factory-based drilling cost model, the present invention achieves the shortest footage by considering platform location optimization and platform number optimization; through drilling sequence optimization and drilling rig translation technology, equipment utilization is optimized; through inter-well anti-collision, Supporting technologies such as drill bit selection and well trajectory control have increased drilling speed; the learning curve method of repeated operations in well factory drilling operations has been used to improve operating efficiency; batch drilling has improved the reuse rate of drill tool assemblies and drilling fluids; through Scientific production organization and management have carried out cross-cutting operations and offline operations in the well factory to improve the timeliness of drilling rig footage. Therefore, the present invention can be widely used in the field of unconventional oil and gas production.

Description of the drawings

Figure 1 is an idea diagram for constructing a factory-based drilling optimization configuration method based on a cost analysis model in an embodiment of the present invention;

Figure 2 is a flow chart of the factory drilling optimization configuration method based on the cost analysis model in the embodiment of the present invention;

Figure 3 is a schematic diagram of the well structure in the embodiment of the present invention.

Detailed ways

The present invention will be described in detail below with reference to the drawings and examples.

As shown in Figure 1, by conducting theoretical research on factory drilling, research on factory drilling cost factors, and quantitative research on factory drilling costs, the present invention provides a method for optimizing the configuration of factory drilling based on a cost analysis model. By considering the optimization of platform location and number of platforms, the shortest footage is achieved; by optimizing the drilling sequence and drilling rig translation technology, the equipment utilization is optimized; and by supporting technologies such as interwell anti-collision, drill bit optimization, and wellbore orbit control, the efficiency is improved Drilling speed; using the learning curve method of repetitive operations in well factory drilling operations to improve operating efficiency; improving the reuse rate of drilling tool assemblies and drilling fluids through batch drilling; conducting cross-operations in well factory drilling operations through scientific production organization management , Offline operation improves the efficiency of drilling rig footage work. After the investigation of well factory drilling in tight oil reservoirs, we conducted research on well factory drilling technology and production organization management, and further improved the operating process, standardized operating procedures and innovative organizational management to form an adaptable well factory drilling speed, increase efficiency, and reduce development costs. A complex multi-factor well plant drilling cost analysis model.

By inputting the known target information and the enumerated initial platform number K, we focus on platform optimization and target classification, well type, well trajectory, drilling sequence, drill bit model, drilling fluid reuse rate for each operation, and set Pipe type and wall thickness, drilling rig daily cost, adjacent well drilling cycle learning rate, etc., a complex, multi-factor, multi-platform, multi-link, multi-working condition batch drilling cost analysis model was established, and program optimization and cost analysis were carried out to optimize the minimum cost. The number of platforms and wellbore trajectory parameters are optimized. Finally, through different factory drilling plans corresponding to different platform numbers and wellbore trajectory parameters, the number of platforms and wellbore trajectory parameters are optimized according to the minimum cost.

Specifically, it includes the following steps:

1) Conduct theoretical research on factory drilling, research on factory drilling cost factors, and quantitative research on factory drilling costs to determine the influencing factors that affect factory drilling costs.

Based on the study of factory drilling cost factors and the factors that restrict the high cost of factory drilling in tight oil reservoirs, the present invention divides the influencing factors of factory drilling costs into four categories: pre-drilling engineering fees, engineering service fees, material fees and other unquantifiable expenses. , among which, the pre-drilling engineering fee includes the cost of land and earthwork; the engineering service fee includes the cost of drilling rig, directional service fee and drilling rig moving cost; the material cost includes the cost of drill bit, drilling fluid cost, casing cost, cementing cost and mud Non-implementation costs; other unquantifiable costs include supervision and management fees and unforeseen costs. By independently conducting quantitative analysis on 10 quantifiable factors, establishing a mathematical model, and making proportional estimates of 2 non-quantifiable factors, an analysis model for the drilling cost of the entire well factory can be established.

2) Based on the determined influencing factors, establish a complex multi-factor, multi-platform, multi-link, and multi-working condition factory drilling cost analysis model, and conduct the analysis by inputting the known target information and the enumerated initial number of platforms K. Through program selection and cost analysis, parameters such as the number of platforms and wellbore trajectories are optimized at the minimum cost to achieve the optimal configuration of factory drilling.

Specifically, it includes the following steps:

2.1) Taking the minimum sum of the horizontal displacements of the control targets as the optimization goal, the improved K-means dynamic clustering algorithm is used to optimize the platform coordinates of each platform.

First, input the known block target information, try to select the number of platforms (to meet the maximum drilling capacity of the platform), use the K-means clustering algorithm to initially select the platform location, use points to represent the platform _Pi , and use the vector u{P ₁ ,P ₂ ,,P _i ,,P _K } represent K platforms as a whole, and use the set P _ij ((1≤i≤K, 1≤j≤N)) to represent the target points controlled by platform _Pi . Among them: n ₁ +n ₂ , n _i +n _K =N, n _i is the target point belonging to platform i, N is the number of target points, p _i (X _i ,Y _i ) is the coordinate of the platform, b _j (x _j ,x _j ) are the coordinates of the target point.

2.2) Based on the optimized platform-related information, calculate the total cost of each platform.

Specifically, it includes the following steps:

2.2.1) Based on the determined location of the platform and wellhead, calculate the pre-drilling engineering costs (coverage costs and earthwork costs) and engineering service fees (drilling rig moving and installation costs).

Pre-drilling engineering mainly includes the determination of the location of the platform, the determination of the well site roads and the determination of the wellhead location of the platform. Correspondingly, the pre-drilling engineering costs mainly include land area costs and earth and stone costs.

① Floor space cost

The calculation of floor space costs consists of two parts.

In the first part, the "Well Factory" platform adopts centralized well layout, which greatly reduces the average area occupied by a single well. According to Sinopec's pre-drilling engineering quota, for every additional well in the well site, the area cost is calculated as a 10% increase. . Therefore, the calculation formula of floor space cost can be expressed as:

In the formula, is the floor space cost of platform i, in yuan; q _{is the pre-drilling fixed fee} for the floor space of single well platform, yuan; n _i is the number of wells belonging to platform i.

In the second part, if a single platform has less than 5 wells, use the following formula to calculate:

In the formula, It is the land area cost for a single platform with less than 5 wells, yuan; S ₁ is the land area of the first well, generally 3 acres, s ₁ is the land area of each well except the first well, generally 1 acres ;q is the land cost per mu, yuan/mu.

If a single platform has more than or equal to 5 wells, use the following formula to calculate:

In the formula, It is the floor area cost of a single platform with more than or equal to 5 wells, yuan; S ₁ is the floor space of the first well, generally 3 acres; s ₁ is the floor space of each well for 2, 3, and 4 wells, generally 1 mu; s ₂ is the area occupied by the fifth well and each well above 5 wells, generally 0.35 mu; q is the land occupation cost per mu, yuan.

Therefore, for a single platform floor space cost:

For total floor space costs:

Among them: I _zq is the total area cost of "well factory", yuan; K is the number of "well factory" platforms, mouth.

②Earthwork costs

If a single platform has less than 5 wells, the calculation formula for its earthwork costs is:

I _P2i = (S ₁ +s ₁ × (n _i -1)) × S _q (6)

Among them: I _P2i is the cost of earthwork for less than 5 wells on a single platform, yuan; S ₁ is the area occupied by the first well, usually 3 acres, s ₁ is the area occupied by each well except the first well, usually 3 acres 1 mu; S _q is the cost of earthwork per mu, yuan/mu.

If a single platform has more than or equal to 5 wells, the calculation formula for its earthwork cost is:

I _P2i =(S ₁ +s ₁ ×3+s ₂ ×( _ni -4))×S _q (7)

In the formula, It is the earthwork cost for a single platform of more than or equal to 5 wells, yuan; S ₁ is the area occupied by the first well, generally 3 acres, s ₁ is the area occupied by each well of 2, 3, and 4 wells, generally 1 acres; s ₂ is the area occupied by the fifth well and each well above 5 wells, generally 0.35 mu; S _q is the cost of earthwork per mu, yuan/mu.

For total earthwork cost:

Among them, I _P2 is the total well site road construction cost, yuan; I _P2i is the earth and stone cost of a single platform.

2.2.2) Optimize the well type according to the platform and the location of the target point belonging to the platform. At the same time, optimize the well trajectory according to given conditions such as the deflection point, deflection rate, well inclination angle, etc., and calculate the well depth and various parameters. Open length.

According to the platform and the location of the target point belonging to the platform, different well types are selected. According to the given conditions such as the deflection point, deflection rate, well inclination angle, etc., the vertical well section L1, deflection section L2, inclined section L3... are calculated. Calculate the well depth H and determine the length of each opening. Since the "well factory" adopts batch or assembly line operations to achieve high drilling efficiency, when selecting a well type, in addition to geological requirements, try to choose one type. In order to make the drilling fluid repeatable for each opening To use, select the same number of openings for each well, such as three openings or four openings.

2.2.3) Based on the determined well type, well trajectory and well depth information, the drilling fluid cost, casing cost, cementing cost, drill bit cost and mud non-landing cost are calculated according to the batch.

As shown in Figure 3, it is a schematic diagram of the well structure. It can be seen from this figure that the well structure is designed to be open in three directions. Adopt a batch single drilling rig "well factory" operation mode, while taking into account the reuse rate of drilling fluid for each operation, well depth costs (including drill bit costs, drilling fluid costs, casing costs, cementing costs, and material and service costs such as mud not landing) ) is calculated as follows:

in: is the depth of the nth well, m; H _nj is the drilling length of the jth opening of the nth well, m; d _inj is the unit price per meter of the drill bit, casing, drilling fluid, and cement of the nth well, yuan/ m; 1≤i≤5, 1≤j≤m _open .

①Drill bit cost

Taking into account the drill bit model, the calculation formula is as follows:

d _1nj = u _bit (10)

Among them, u _bit is the cost of a single meter of drill bit, yuan/m.

②Drilling fluid cost

Considering the reuse of drilling fluid, the calculation formula is as follows

d _2nj = (H _nj )×1.1(excess quantity)-(H _n-1j )×1.1×r)×ρ _f ×u _f /H _nj (11)

Among them: d _2nj is the drilling fluid cost of the j-th well in the n-th well, yuan; r is the drilling fluid reuse rate of the j-th well in the n-1th well; ρ _f is the density of the drilling fluid in the j-th well in the n-th well, g /cm ³ ; u _f is the unit price of drilling fluid for the jth opening of the n-th well, yuan/ton.

③Casing cost

Taking into account the casing size and wall thickness, the calculation formula is as follows:

Among them: d _3nj is the j-th casing cost of the n-th well, yuan; D _1j is the outer diameter of the j-th casing of the n-th well, m; D _2j is the inner diameter of the j-th casing of the n-th well, m ; ρ _C is the density of the j-th casing in the n-th well, g/cm ³ ; u _c represents the unit price of the j-th casing in the n-th well, yuan/ton.

④Cementing costs

Among them: d _4nj is the cementing cost of the j-th opening of the n-th well, yuan; D _1j refers to the outer diameter of the j-th opening casing of the n-th well, m; D _j represents the diameter of the j-th opening of the n-th well, m ; d _4nj represents the cementing cost of the jth well in the nth well, yuan; ρ _c1 represents the cementing density of the jth well in the nth well, g/cm ³ ; u _c1 represents the cementing unit price of the jth well in the nth well, Yuan/ton; I _else other cementing costs, Yuan.

⑤The cost of mud not landing

d _5nj = u _n (14)

Among them: d _5nj is the cost of mud not landing for the jth well in the nth well, yuan; u _n is the cost of mud not landing for one meter, yuan/m; generally it is 150 yuan/m.

2.2.4) Calculate drilling rig and labor costs based on the number of wells on the platform, wellhead layout and drilling cycle. The drilling cycle is calculated based on the drilling cycle of the same type of wells.

①Drilling rig and labor costs

I _r =R ₁ ×T _n (15)

Among them, T _n is the drilling cycle of the n-th well, in days; R ₁ is the daily cost of drilling rig and labor demobilization, yuan/day; I _r is the cost of drilling rig and labor, yuan.

The calculation of the drilling period T _n can be based on the drilling learning curve. In the drilling period calculation, under the conditions of the same block, well type, well type (vertical well, directional well and horizontal well), target layer and well depth, you can use Ordinary learning curve T _n =T×e ^bH+c ; if the well depth is different, use the modified learning curve The fitting coefficients b, c and drilling learning rate r are learned through adjacent wells or drilled wells in the block, and then applied to the drilling period T _n of the wells to be drilled in the block.

②Orientation fee

As the number of wells deployed on the "Well Factory" platform increases, the lateral offset becomes larger, and the length and cost of the directional well sections also increase. Moreover, the more wells are deployed on the platform, the average single well increases the length and cost of the directional well sections. more. Calculated as follows:

I _{d_sever} ＝L ₂ ×u _d2 +......+L _i ×u _di +.....+L _n ×u _dn (16)

Among them, I _{d_sever} is the directional cost of a single well, yuan; _Li is the well section of the well trajectory except the vertical well section (deviation section, horizontal section...), m; u _di is the unit price of the corresponding well section, yuan/m .

③Drilling rig moving and installation costs

“Well Factory” developments can result in substantial savings in rig relocation and installation costs. The fewer the number of platforms in the block, the fewer the number of drilling rig moves. The cost of drilling rig installation can be determined based on the number of wells on the platform and the layout of the wellheads. First determine the number of large-scale moves, medium-sized moves, and pallets of the drilling rig, and then calculate the total cost based on the number of times and the cost per time.

If there is a single row of wellheads:

I _Mi =I _m1 +I _m2 (n _i -1) (17)

If there are two rows of wellheads:

I _Mi ＝I _m1 +I _m2 (n _i -2)+I _m3 (18)

The total cost of relocation and installation of drilling rigs in the block can be expressed as:

Among them: I _m1 is the cost of moving the drilling rig once, Yuan; I _m2 is the cost of holding the drilling rig once, Yuan; I _m3 is the moving of the drilling rig side by side in the platform, Yuan; n _i refers to the target belonging to platform i .

2.2.5) For non-quantifiable supervision and management fees and non-quantifiable cost proportion coefficients K ₁ and K ₂ , the coefficients K ₁ and K ₂ are determined by reverse calculation based on the drilled block data, and finally the factory drilling cost analysis model is obtained. .

The present invention will use the proportional estimation method to calculate the supervision and management fees and contingency fees. Specifically, the supervision and management fees can be calculated using a certain proportion _K1 of other drilling costs except contingency fees; the contingency fees can be calculated according to other drilling investments. Multiply the ratio K ₂ to calculate.

The obtained factory drilling cost analysis model is:

2.2.6) Repeat steps 2.2.1) to 2.2.5) to establish a drilling cost estimation model for each platform

2.3) Use the enumeration algorithm to select different number of platforms and calculate the total drilling cost I _zong for all the number of platforms in the entire "well factory".

In order to obtain the platform setting plan that minimizes the total drilling cost of the entire "well factory", the method of enumerating the number of platforms is used. That is, first determine the possible range of the number of platforms based on the number of underground well locations and the maximum drilling capacity of each platform, and then enumerate them one by one within this range to obtain the total drilling cost for a set of different number of platforms.

2.4) Based on the minimum total cost of the platform I _zong , conduct a comprehensive comparison and optimization of various options, and select the most appropriate set of platform number and experience trajectory and other parameters as the optimized configuration plan for factory drilling.

The present invention also provides a factory drilling optimization configuration system based on a cost analysis model, which includes: an influencing factor determination module for conducting theoretical research on factory drilling, research on factory drilling cost factors, and quantitative research on factory drilling costs, and Determine the influencing factors that affect factory drilling costs; the optimization configuration module is used to establish a complex multi-factor, multi-platform, multi-link, and multi-working condition factory drilling cost analysis model based on the determined influencing factors, and input the known Based on the target information and the initial number of enumerated platforms K, we perform program optimization and cost analysis, and select the number of factory drilling platforms and well trajectory parameters at the minimum cost to achieve the optimal configuration of factory drilling.

Furthermore, the optimization configuration module includes: a platform number optimization module, which is used to optimize the platform coordinates of each platform using an improved K-means dynamic clustering algorithm with the minimum sum of horizontal displacements of the control target points as the optimization goal; a platform cost calculation module, It is used to establish a cost analysis model to calculate the total cost of each platform based on the optimized platform-related information; the enumeration module is used to use the enumeration algorithm to select different number of platforms to optimize the platform coordinates, and calculate based on the optimization results The total drilling cost I _zong for all platforms in the entire well factory; the plan comparison and selection module is used to comprehensively compare and optimize various factory drilling plans based on the minimum total cost I _zong of the platform, and select the most suitable one. The number of platforms and the empirical trajectory parameters are used as the final factory drilling optimization configuration plan.

Furthermore, the cost analysis model established in the platform cost calculation module is:

In the formula, K ₁ and K ₂ are the proportional coefficients of unquantifiable supervision and management fees and unquantifiable expenses respectively; I _zq is the total area cost of the "well factory", yuan; I _P2 is the total well field road construction cost, yuan ; I _M is the total cost of drilling rig relocation and installation in the block; R ₁ is the daily cost of drilling rig and engine demobilization, yuan/day; r is the drilling learning rate; b, c is the learning fitting of adjacent wells or drilled wells in the block coefficient; is the depth of the nth well, m; H _nj is the drilling length of the jth opening of the nth well, m; d _inj is the unit price per meter of the drill bit, casing, drilling fluid, and cement of the nth well, yuan/ m; 1≤i≤5, _{1≤j≤mopen} ; I _{d_sever} is the single well directional cost, yuan; N _{number of wells} is the total number of wells on the platform; mopen is the number of wells _opened .

The present invention is only described with the above embodiments. Each mathematical model in the well factory drilling cost analysis model and each framework in the well factory drilling cost optimization algorithm can be changed. On the basis of the technical solution of the present invention, any improvement or equivalent transformation of individual components based on the principles of the present invention shall not be excluded from the protection scope of the present invention.

Claims (6)

1. A factory-based drilling optimization configuration method based on a cost analysis model, which is characterized by including the following steps: 1) Conduct theoretical research on factory drilling, research on factory drilling cost factors, and quantitative research on factory drilling costs to determine the influencing factors that affect factory drilling costs; 2) Based on the determined influencing factors, establish a complex multi-factor, multi-platform, multi-link, and multi-working condition factory drilling cost analysis model, and conduct the analysis by inputting the known target information and the enumerated initial number of platforms K. Plan selection and cost analysis, select the number of factory drilling platforms and well trajectory parameters at the minimum cost, and achieve the optimal configuration of factory drilling; In the step 2), the method for optimizing the configuration of factory drilling includes the following steps: 2.1) Taking the minimum sum of the horizontal displacements of the control targets as the optimization goal, the improved K-means dynamic clustering algorithm is used to optimize the platform coordinates of each platform; 2.2) Based on the optimized platform-related information, establish a factory drilling cost analysis model to calculate the total cost of each platform; 2.3) Repeat steps 2.1) to 2.2), use the enumeration algorithm to select different number of platforms, and calculate the total drilling cost I _zong corresponding to all the number of platforms in the entire well factory; 2.4) Based on the minimum total cost of the platform I _zong , conduct a comprehensive comparison and optimization of each platform number plan determined in step 2.3), and select the most appropriate set of platform number and empirical trajectory parameters as the final factory-based drilling optimization configuration plan ; In step 2.2), the method of calculating the total cost of each platform based on the optimized platform-related information includes the following steps: 2.2.1) Calculate pre-drilling engineering costs and engineering service fees based on the determined location of the platform and wellhead; 2.2.2) Optimize the well type according to the platform and the location of the target point belonging to the platform. At the same time, optimize the well trajectory according to the given conditions of deflection point, deflection rate and well inclination angle, and calculate the well depth and each opening. length; 2.2.3) Based on the determined well type, well trajectory, and well depth information, the material cost is calculated according to the batch; 2.2.4) Calculate drilling rig and labor costs based on the number of wells on the platform, wellhead layout and drilling cycle. The drilling cycle is calculated based on the drilling cycle of the same type of wells; 2.2.5) For non-quantifiable supervision and management fees and non-quantifiable cost proportion coefficients K ₁ and K ₂ , the coefficients K ₁ and K ₂ are determined by reverse calculation based on the drilled block data, and finally the factory drilling cost analysis model is obtained. ; 2.2.6) Repeat steps 2.2.1) to 2.2.5) to establish a drilling cost estimation model for each platform, and calculate the total drilling cost for each platform; In step 2.2.4), the calculation of the drilling period T _n is obtained based on the drilling learning curve. The method is: in the drilling period calculation, if the block, well type, well type, target layer, and well depth are all the same, use the ordinary The learning curve T _n =T×e ^bH+c is calculated, where H is the well depth; if the well depth is different, the modified learning curve T _n =r ^logn2 ×e ^bH+c is used, and the wells are drilled through adjacent wells or in the block. The learning fitting coefficients b, c and drilling learning rate r are then applied to the drilling period T _n of the well to be drilled in the block. 2. A factory-based drilling optimization configuration method based on a cost analysis model as claimed in claim 1, characterized in that: in step 2.2.1), the pre-drilling engineering cost includes the cost of floor space and the cost of earthwork, calculated The formulas are: Among them: I _zq is the total floor area cost of "Well Factory", yuan; K is the number of platforms of "Well Factory", mouth; I _zqi is the floor space cost of platform i in "Well Factory"; Among them, I _P2 is the total well site road construction cost, yuan; I _P2i is the earth and stone cost of a single platform. 3. A factory-based drilling optimization configuration method based on a cost analysis model as claimed in claim 1, characterized in that in step 2.2.3), the material cost calculation formula is: in: is the depth of the nth well, m; H _nj is the drilling length of the jth opening of the nth well, m; d _inj is the unit price per meter of the drill bit, casing, drilling fluid, and cement of the nth well, yuan/ m; 1≤i≤5, _{1≤j≤mopen} ; _{the number of N wells} is the total number of wells on the platform; mopen is the number of wells _opened . 4. A factory-based drilling optimization configuration method based on a cost analysis model as claimed in claim 1, characterized in that: in step 2.2.5), the factory-based drilling cost analysis model is: In the formula, K ₁ and K ₂ are the proportional coefficients of unquantifiable supervision and management fees and unquantifiable expenses respectively; I _zq is the total area cost of the "well factory", yuan; I _P2 is the total well field road construction cost, yuan ; I _M is the total cost of drilling rig relocation and installation in the block; R ₁ is the daily cost of drilling rig and engine demobilization, yuan/day; r is the drilling learning rate; b, c is the learning fitting of adjacent wells or drilled wells in the block coefficient; is the depth of the nth well, m; H _nj is the drilling length of the jth opening of the nth well, m; d _inj is the unit price per meter of the drill bit, casing, drilling fluid, and cement of the nth well, yuan/ m; 1≤i≤5, _1≤j≤m ; I _{d_sever} is the single well directional cost, yuan. 5. A factory-based drilling optimization configuration system based on a cost analysis model, which is characterized by including: The influencing factor determination module is used to conduct theoretical research on factory drilling, research on factory drilling cost factors, and quantitative research on factory drilling costs, and determine the influencing factors that affect factory drilling costs; The optimized configuration module is used to establish a complex multi-factor, multi-platform, multi-link, and multi-working condition factory drilling cost analysis model based on the determined influencing factors, and by inputting known target information and enumerated initial platforms Number K, carry out plan selection and cost analysis, select the number of factory drilling platforms and well trajectory parameters at the minimum cost, and realize the optimal configuration of factory drilling; The optimized configuration module includes: The first platform number optimization module is used to optimize the platform coordinates of each platform by using the improved K-means dynamic clustering algorithm with the minimum sum of horizontal displacements of the control targets as the optimization goal; The platform cost calculation module is used to establish a cost analysis model to calculate the total cost of each platform based on the optimized platform-related information; The second platform number optimization module is used to use an enumeration algorithm to select different platform numbers K and calculate the total drilling cost I _zong of all platforms in the entire well factory; The plan comparison and selection module is used to comprehensively compare and optimize various factory drilling plans based on the total platform cost I _zong minimum, and select the most appropriate set of platform numbers and empirical trajectory parameters as the final factory drilling Optimize configuration plan; Based on the optimized platform-related information, a cost analysis model was established to calculate the total cost of each platform, including: Based on the determined location of the platform and wellhead, calculate pre-drilling engineering costs and engineering service fees; Optimize the well type according to the platform and the location of the target point belonging to the platform. At the same time, optimize the well trajectory according to the given conditions of deflection point, deflection rate and well inclination angle, and calculate the well depth and opening length; Based on the determined well type, well trajectory, and well depth information, material costs are calculated according to batches; Calculate drilling rig and labor costs based on the number of wells on the platform, wellhead layout and drilling cycle. The drilling cycle is calculated based on the drilling cycle of the same type of wells. For unquantifiable supervision and management fees and unquantifiable cost proportional coefficients K ₁ and K ₂ , the coefficients K ₁ and K ₂ are determined by inverse calculation based on the drilled block data, and finally a factory drilling cost analysis model is obtained; Repeat all the above steps to establish a drilling cost estimation model for each platform, and calculate the total drilling cost for each platform; The calculation of the drilling period T _n is obtained based on the drilling learning curve. The method is: in the drilling period calculation, if the block, well type, well type, target layer, and well depth are all the same, the ordinary learning curve T _n =T× e ^bH+c is calculated, where H is the well depth; if the well depths are different, the modified learning curve T _n =r ^logn2 ×e ^bH+c is used to learn the fitting coefficients b, c through adjacent wells or drilled wells in the block. And the drilling learning rate r is applied to the drilling period T _n of the well to be drilled in the block. 6. A factory-based drilling optimization configuration system based on a cost analysis model as claimed in claim 5, characterized in that the cost analysis model established in the platform cost calculation module is: In the formula, K ₁ and K ₂ are the proportional coefficients of unquantifiable supervision and management fees and unquantifiable expenses respectively; I _zq is the total area cost of the "well factory", yuan; I _P2 is the total well field road construction cost, yuan ; I _M is the total cost of drilling rig relocation and installation in the block; R ₁ is the daily cost of drilling rig and engine demobilization, yuan/day; r is the drilling learning rate; b, c is the learning fitting of adjacent wells or drilled wells in the block coefficient; is the depth of the nth well, m; H _nj is the drilling length of the jth opening of the nth well, m; d _inj is the unit price per meter of the drill bit, casing, drilling fluid, and cement of the nth well, yuan/ m; 1≤i≤5, _{1≤j≤mopen} ; I _{d_sever} is the single well directional cost, yuan; N _{number of wells} is the total number of wells on the platform; mopen is the number of wells _opened .