CN115685344A

CN115685344A - Reservoir determination method and device, storage medium and electronic equipment

Info

Publication number: CN115685344A
Application number: CN202110850304.7A
Authority: CN
Inventors: 马玉春; 黄继文; 高晓鹏; 张永东
Original assignee: China Petroleum and Chemical Corp; Sinopec Exploration and Production Research Institute
Current assignee: China Petroleum and Chemical Corp; Sinopec Exploration and Production Research Institute
Priority date: 2021-07-27
Filing date: 2021-07-27
Publication date: 2023-02-03

Abstract

The application relates to the technical field of geological exploration, in particular to a reservoir determining method and device and electronic equipment. The method can establish a low-frequency model according to the acquired seismic data and logging data of the stratum in the target area; carrying out inversion based on the low-frequency model to obtain a relative impedance body of the stratum, wherein the relative impedance body can reflect information such as lithology, physical property and the like of the stratum; and then updating the low-frequency model according to the relative impedance body to obtain a target low-frequency model, and accurately obtaining the data of the reservoir by using the target low-frequency model. Therefore, the new low-frequency model is subjected to post-stack impedance inversion to obtain formation longitudinal wave impedance data, and the reservoir can be accurately determined by using the longitudinal wave impedance data, so that the reservoir can be accurately depicted.

Description

Reservoir determination method and device, storage medium and electronic equipment

Technical Field

The present application relates to the field of geological exploration technologies, and in particular, to a reservoir determination method, device, storage medium, and electronic device.

Background

The main body of the Tahe oil field is an Ordovician carbonate rock fracture-cave type oil reservoir, the main reservoir type is a fracture-cave type reservoir, the reservoir is controlled by karst and cracks, the shape is complex, the longitudinal and transverse heterogeneity is strong, the burial depth (more than 5300 m) is deep, the seismic signal is weak, and the exploration and development of the reservoir are extremely difficult. Through forward modeling research on a carbonate reservoir model of a Tahe oil field and combination with actual seismic reflection characteristic analysis of the reservoir, a typical beaded strong-amplitude seismic reflection structure mainly comprises multiple waves (coupling oscillation) between a reservoir body and dense surrounding rock and strong short-axis reflection formed by migration and homing of diffracted waves. The most typical reflection characteristic of the fracture-cavity reservoir body on the seismic data is bead-string-shaped reflection, the seismic abnormal range of the fracture-cavity reservoir body is far larger than that of the actual fracture-cavity university, and therefore the accurate prediction of the spreading form, size and spatial position of the fracture-cavity body by using the seismic reflection characteristic has great difficulty.

At present, the main method for predicting the cavernous carbonate reservoir is to find strong beaded reflections according to post-stack seismic data to determine the cavernous reservoir. Due to the fact that the target layer is buried deeply, the surface condition is complex, and the seismic signal-to-noise ratio of the target layer is low, the problem that the bead-shaped seismic reflection identification capability of the carbonate cavern type reservoir is insufficient exists, and therefore the drilling success rate and the exploration and development efficiency are low.

Disclosure of Invention

In order to solve the above problems, the present application provides a reservoir determination method, a reservoir determination device, a storage medium, and an electronic device.

In a first aspect, the present application provides a method of reservoir determination, the method comprising:

establishing a low-frequency model according to the acquired seismic data and logging data of the stratum in the target area;

carrying out inversion based on the low-frequency model to obtain a relative impedance body of the stratum;

updating the low-frequency model according to the relative impedance body to obtain a target low-frequency model;

and performing inversion according to the target low-frequency model, and determining longitudinal wave impedance data of the stratum so as to determine a reservoir stratum in the stratum based on the longitudinal wave impedance data.

In the above embodiment, a low-frequency model is established according to seismic data and well logging data of the stratum in the target area, and then the low-frequency model is inverted to obtain a relative resistivity of the stratum, wherein the relative resistivity can reflect information such as lithology and physical properties of the stratum. And updating the low-frequency model according to the relative impedance body, establishing a new low-frequency model, and performing post-stack impedance inversion on the new low-frequency model to obtain formation longitudinal wave impedance data so as to accurately determine the reservoir by using the longitudinal wave impedance data.

According to an embodiment of the present application, optionally, in the method for determining a reservoir, the establishing a low-frequency model according to the acquired seismic data and well log data of the stratum in the target region includes:

carrying out well-seismic calibration building time-depth relation based on the obtained well logging data and the seismic data;

establishing a frame model of a clastic rock stratum in the stratum according to the time-depth relation;

determining longitudinal wave impedance data and background longitudinal wave impedance data of the depth direction of the stratum according to the logging information;

transversely interpolating the frame model by utilizing the longitudinal wave impedance data to obtain a low-frequency impedance model of the clastic rock stratum;

determining a background low-frequency longitudinal wave impedance model of a carbonate stratum in the stratum based on the background longitudinal wave impedance value;

and determining a low-frequency model based on the low-frequency impedance model and the background low-frequency longitudinal wave impedance model.

In the embodiment, the abnormal value in the seismic data in the carbonate stratum can reflect the change of the reservoir, the false image caused by the abnormal low-frequency model of well interpolation is eliminated, and the actual underground condition is really reflected.

According to an embodiment of the application, optionally, in the method for determining a reservoir, the well log data includes: acoustic data and density data for a single well, the seismic data comprising: seismic wavelet data, said well-seismic calibration build-time-depth relationship based on said acquired logging data and said seismic data, comprising:

determining a reflection coefficient based on the acoustic data and the density data for the single well;

convolution is carried out on the reflection coefficient and the seismic wavelets to obtain a synthetic seismic record;

the time-depth relationship is established based on the synthetic seismic record.

In the above embodiments, the well data is in the depth domain and the seismic data is in the time domain. Obtaining reflection coefficient through sound wave and density data of a single well, obtaining synthetic seismic record by convolution of seismic wavelets and the reflection coefficient, calibrating the synthetic recording section and the seismic section passing through the well, and converting data of a depth domain into a time domain. The synthetic seismic record obtained by convolution of the reflection coefficient and the seismic wavelets can accurately establish the time-depth relation, so that the accurate reservoir is ensured to be determined.

According to an embodiment of the present application, optionally, in the method for determining a reservoir, performing inversion based on the low-frequency model to obtain a relative resistivity volume of the formation includes:

and carrying out constraint sparse pulse inversion on the low-frequency model based on the seismic data to obtain a relative impedance of the stratum.

In the above embodiment, inversion of the low frequency model according to the seismic data can convert the change of the conventional seismic reflection amplitude into the relative resistivity of the stratum by fully utilizing the structure, horizon, lithology and other information provided by the seismic data and the logging data, so as to accurately reflect the lithology, physical property and other information of the stratum.

According to an embodiment of the present application, optionally, in the method for determining a reservoir, the updating the low-frequency model according to the relative impedance to obtain a target low-frequency model includes:

setting the value of the relative impedance body corresponding to the clastic rock stratum as a null value, and reserving a negative value in the value of the relative impedance body corresponding to the carbonate rock stratum to obtain a negative value impedance model;

and adding the negative impedance model and the low-frequency model to obtain a target low-frequency model.

According to an embodiment of the present application, optionally, in the method for determining a reservoir, the inverting according to the target low-frequency model to determine compressional wave impedance data of the formation so as to determine the reservoir in the formation based on the compressional wave impedance data includes:

performing constrained sparse pulse inversion by adopting the target low-frequency model based on the seismic data to obtain longitudinal wave impedance data of the stratum;

determining target longitudinal wave impedance data based on the longitudinal wave impedance data and a longitudinal wave impedance threshold;

and determining the space position corresponding to the target longitudinal wave impedance data as a reservoir stratum in the stratum.

According to an embodiment of the present application, optionally, in the method for determining a reservoir, the determining target compressional wave impedance data based on the compressional wave impedance data and a compressional wave impedance threshold includes:

comparing the magnitude of the longitudinal wave impedance data to the magnitude of the longitudinal wave impedance threshold;

and determining the part of the longitudinal wave impedance data which is smaller than the longitudinal wave impedance threshold value as target longitudinal wave impedance data.

In a second aspect, the present application provides an apparatus for reservoir determination, the apparatus comprising: the low-frequency model establishing module is used for establishing a low-frequency model according to the acquired seismic data and the acquired logging data of the stratum in the target area;

the relative impedance body acquisition module is used for carrying out inversion based on the low-frequency model to obtain a relative impedance body of the stratum;

the target low-frequency model acquisition module is used for updating the low-frequency model according to the relative impedance body to obtain a target low-frequency model;

and the reservoir determining module is used for carrying out inversion according to the target low-frequency model, determining longitudinal wave impedance data of the stratum and determining a reservoir in the stratum based on the longitudinal wave impedance data.

According to an embodiment of the present application, optionally, in the apparatus for determining a reservoir, the low frequency model building module includes:

the well-seismic calibration unit is used for carrying out well-seismic calibration building time-depth relation based on the acquired well logging data and the acquired seismic data;

the frame model establishing unit is used for establishing a frame model of the clastic rock stratum in the stratum according to the time-depth relation;

the impedance data determining unit is used for determining longitudinal wave impedance data and background longitudinal wave impedance data of the depth direction of the stratum according to the logging information;

the low-frequency impedance model acquisition unit is used for performing transverse interpolation on the frame model by utilizing the longitudinal wave impedance data to obtain a low-frequency impedance model of the clastic rock stratum;

the background low-frequency longitudinal wave impedance model obtaining unit is used for determining a background low-frequency longitudinal wave impedance model of a carbonate stratum in the stratum based on the background longitudinal wave impedance value;

and the low-frequency model determining unit is used for determining a low-frequency model based on the low-frequency impedance model and the background low-frequency longitudinal wave impedance model.

According to an embodiment of the application, optionally, in the apparatus for determining a reservoir, the well log data includes: acoustic data and density data for a single well, the seismic data comprising: seismic wavelet data, the well-seismic calibration unit comprising:

a reflection coefficient determining subunit, configured to determine a reflection coefficient based on the acoustic data and the density data of the single well;

the synthetic seismic record obtaining subunit is used for performing convolution on the reflection coefficient and the seismic wavelets to obtain a synthetic seismic record;

a time-depth relationship establishing subunit for establishing the time-depth relationship based on the synthetic seismic record.

According to an embodiment of the application, optionally, in the apparatus for determining a reservoir, the relative impedance obtaining module includes:

and the relative impedance body determining unit is used for carrying out constraint sparse pulse inversion on the low-frequency model based on the seismic data to obtain the relative impedance body of the stratum.

In the above embodiment, the inversion of the low frequency model based on the seismic data can convert the conventional seismic reflection amplitude variation into the relative resistivity of the formation by making full use of the structure, horizon, lithology, etc. information provided by the seismic data and the well log data, so as to accurately reflect the lithology, physical property, etc. information of the formation.

According to an embodiment of the present application, optionally, in the apparatus for determining a reservoir, the target low-frequency model obtaining module includes:

a negative value impedance model obtaining unit, configured to set a value of the relative impedance body corresponding to the clastic rock formation as a null value, and retain a negative value in the value of the relative impedance body corresponding to the carbonate rock formation, so as to obtain a negative value impedance model;

and the target low-frequency model acquisition unit is used for adding the negative impedance model and the low-frequency model to obtain a target low-frequency model.

According to an embodiment of the present application, optionally, in the above reservoir determining device, the reservoir determining module includes:

the longitudinal wave impedance data acquisition unit is used for performing constraint sparse pulse inversion by adopting the target low-frequency model based on the seismic data to obtain longitudinal wave impedance data of the stratum;

a target longitudinal wave impedance data determination unit for determining target longitudinal wave impedance data based on the longitudinal wave impedance data and a longitudinal wave impedance threshold;

and the reservoir determining unit is used for determining the spatial position corresponding to the target compressional wave impedance data as a reservoir in the stratum.

According to an embodiment of the present application, optionally, in the above apparatus for determining a reservoir, the unit for determining target compressional wave impedance data includes:

the comparison subunit is used for comparing the longitudinal wave impedance data with the longitudinal wave impedance threshold value;

and the target longitudinal wave impedance data determining subunit is used for determining a part, smaller than the longitudinal wave impedance threshold value, in the longitudinal wave impedance data as the target longitudinal wave impedance data.

In a third aspect, the present application provides a storage medium storing a computer program executable by one or more processors for implementing a method for reservoir determination as described above.

In a fourth aspect, the present application provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to perform the method for determining a reservoir as described above.

Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:

according to the method, the device, the storage medium and the electronic equipment for determining the reservoir, a low-frequency model can be established according to the acquired seismic data and logging data of the stratum in the target area; carrying out inversion based on the low-frequency model to obtain a relative impedance body of the stratum; updating the low-frequency model according to the relative impedance body to obtain a target low-frequency model; and performing inversion according to the target low-frequency model, and determining longitudinal wave impedance data of the stratum so as to determine a reservoir stratum in the stratum based on the longitudinal wave impedance data. And establishing a low-frequency model according to seismic data and logging data of the stratum in the target area, and then performing inversion on the low-frequency model to obtain a relative impedance body of the stratum, wherein the relative impedance body can reflect information such as lithology, physical property and the like of the stratum. And updating the low-frequency model according to the relative impedance body, establishing a new low-frequency model, and performing post-stack impedance inversion on the new low-frequency model to obtain formation longitudinal wave impedance data so as to accurately determine the reservoir stratum by using the longitudinal wave impedance data.

Drawings

The present application will be described in more detail below on the basis of embodiments and with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of a reservoir determination method according to an embodiment of the present disclosure.

Fig. 2 is a schematic block diagram of a structure of a reservoir determination apparatus according to a sixth embodiment of the present application.

Fig. 3 is a connection block diagram of an electronic device according to an eighth embodiment of the present application.

In the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.

Detailed Description

The following detailed description will be provided with reference to the accompanying drawings and embodiments, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and various features in the embodiments of the present application can be combined with each other without conflict, and the formed technical solutions are all within the scope of protection of the present application.

Example one

The present invention provides a method for determining a reservoir, referring to fig. 1, the method includes the following steps:

step S110: and establishing a low-frequency model according to the acquired seismic data and logging data of the stratum in the target area.

A low frequency model that substantially reflects the geologic features of the depositional body may be established based on the seismic data and the well log data. The low-frequency model can be obtained by interpolating and extrapolating the logging data in the whole data volume range by taking the seismic data interpretation horizon and the deposition rule as constraints, and in addition, the seismic velocity spectrum information in the seismic data can be combined with the logging data to establish the low-frequency model, so that the missing low-frequency information in the seismic data can be compensated to a certain extent. When a low-frequency model is established according to seismic data and logging data, well curves with better quality in the logging data can be selected, and interpolation is carried out according to a certain algorithm under the constraints of horizons, faults and the like, such as a weight method, kriging, reverse distance weighting and the like. In addition to the low-frequency model established by seismic velocity conversion, a single-well interpolation can be used to establish the low-frequency model, pseudo-wells are added at places with larger differences by forward modeling comparison of the differences between the synthetic records and the original earthquake, the information of the low-frequency model is changed, and a relatively real low-frequency model is obtained by continuous updating. In order to take seismic reflection characteristics into consideration, boundaries of different lithologies and fluids can be defined through attributes such as seismic amplitude and frequency, and different elastic properties can be defined for each phase zone to obtain a low-frequency model.

Step S120: and carrying out inversion based on the low-frequency model to obtain a relative impedance body of the stratum.

According to an embodiment of the present application, step S120 includes the steps of:

step S121: and carrying out constraint sparse pulse inversion on the low-frequency model based on the seismic data to obtain a relative impedance of the stratum.

The inversion of the low-frequency model according to the seismic data can fully utilize the structure, horizon, lithology and other information provided by the seismic data and the logging data to convert the change of the conventional seismic reflection amplitude into the relative impedance of the stratum so as to reflect the lithology, physical property and other information of the stratum.

Specifically, the seismic data may be first subjected to a fine processing to extract parameters such as seismic volume and seismic wavelet, and then the low-frequency model may be subjected to a constrained sparse impulse inversion. The constraint sparse impulse inversion is a recursion seismic wave impedance inversion method, the constraint sparse impulse inversion widens the effective frequency bandwidth of input seismic data by adjusting the sparsity of a reflection coefficient sequence, an elastic parameter model and a sparsity constraint factor are obtained, a seismic signal-to-noise ratio, a merging frequency and a wavelet scale factor are key parameters in the algorithm, the seismic signal-to-noise ratio is used for constraining the similarity of an inversion result and the seismic data, the higher the signal-to-noise ratio is set, the more relevant a synthetic record converted from the inversion result is to the earthquake, and vice versa, the sparsity constraint factor is the sparsity of the reflection coefficient sequence, and the smaller the value of the sparsity constraint factor is, the more sparse the reflection coefficient sequence is.

Step S130: and updating the low-frequency model according to the relative impedance body to obtain a target low-frequency model.

The relative impedance is amplitude-preserved, that is to say, the relative impedance is faithful to the amplitude recorded in the in-situ seismic data, and in addition, the relative impedance is better corresponding to the space position of the equivalent reservoir, that is, the relative impedance is better corresponding to the space position of the equivalent layer of a plurality of reservoirs, so that the updated low-frequency model obtained according to the relative impedance can be ensured to be more accurate. The relative impedance body obtained in step S120 has a positive value and a negative value, the impedance value of the relative impedance body corresponding to the carbonate formation above the top surface (T74 interface) is set as a null value, the positive value part below the T74 interface is set as a null value, and the negative value part is retained, so as to obtain a negative value impedance model of the carbonate formation below the T74 interface, and then the low frequency model established in step S110 and the negative value impedance model retaining the negative value part are added to obtain a new low frequency impedance model, i.e., the target low frequency model.

Step S140: and performing inversion according to the target low-frequency model, and determining longitudinal wave impedance data of the stratum so as to determine a reservoir stratum in the stratum based on the longitudinal wave impedance data.

Updating the low-frequency model according to the relative impedance obtained by inverting the low-frequency model established in step S110 can make the obtained target low-frequency model more accurate. And then, inversion is carried out according to the target low-frequency model so as to determine longitudinal wave impedance data of the stratum, and the longitudinal wave impedance data can reflect the anisotropic change rule, so that the reservoir in the stratum can be accurately depicted based on the longitudinal wave impedance data.

In summary, the present application provides a method for determining a reservoir, including: establishing a low-frequency model according to the acquired seismic data and logging data of the stratum in the target area; carrying out inversion based on the low-frequency model to obtain a relative impedance body of the stratum; updating the low-frequency model according to the relative impedance body to obtain a target low-frequency model; and performing inversion according to the target low-frequency model, and determining longitudinal wave impedance data of the stratum so as to determine a reservoir stratum in the stratum based on the longitudinal wave impedance data. And establishing a low-frequency model according to seismic data and logging data of the stratum in the target area, and then performing inversion on the low-frequency model to obtain a relative impedance body of the stratum, wherein the relative impedance body can reflect information such as lithology, physical property and the like of the stratum. And updating the low-frequency model according to the relative impedance body, establishing a new low-frequency model, and performing post-stack impedance inversion on the new low-frequency model to obtain formation longitudinal wave impedance data so as to accurately determine the reservoir by using the longitudinal wave impedance data.

Example two

On the basis of the first embodiment, the present embodiment explains the method in the first embodiment through a specific embodiment.

The reservoir determination method provided by the application comprises the following steps:

step S110: establishing a low-frequency model according to the acquired seismic data and logging data of the stratum in the target area;

step S120: carrying out inversion based on the low-frequency model to obtain a relative impedance body of the stratum;

step S130: updating the low-frequency model according to the relative impedance body to obtain a target low-frequency model;

In the above method for determining a reservoir, the step S110 includes the following steps:

step S1110: and carrying out well-seismic calibration building time-depth relation based on the acquired well logging data and the acquired seismic data.

The structure of the reservoir can be explained by utilizing the seismic data and the logging data, and the reservoir can be predicted so as to carry out fine description on the oil reservoir. However, the longitudinal scale described by the logging data is depth, the section described by the seismic data is time scale, and the two data description modes are different, so that the two data description modes cannot be directly combined and applied, and the calibration needs to be firstly carried out according to the well-seismic between the logging data and the seismic data. In performing well seismic calibration, calibration may be based on correlation of synthetic seismic records in the seismic data with the borehole-side seismic trace waveforms. In addition, the reflection coefficient can be calculated through acoustic and density logging data, a synthetic seismic record similar to a seismic channel is constructed by utilizing the convolution of the emission coefficient and wavelets, and the calibration result is adjusted in a mode of comparing the synthetic seismic record with the seismic channel beside a well to realize well seismic calibration. For example, a sample well of the target area is determined, a single crystal depth domain synthetic seismic record is obtained according to the sample well, and then the corresponding relation between time and depth at the single well is established according to the single well depth domain synthetic seismic record. And finally, automatically matching the residual drilling horizon of the research area to the time domain geological horizon model, thereby realizing the rapid well seismic calibration work of all drilling wells.

Step S1120: and establishing a frame model of the clastic rock stratum in the stratum according to the time-depth relation.

The time-depth relation obtained by well seismic calibration can correspond different geological interfaces of single well analysis to a seismic profile, namely from a depth domain to a time domain, so that the different geological interfaces can be tracked spatially by using seismic data to obtain the distribution of the geological interfaces on the space, and a frame model of a stratum is established by using the different geological interfaces.

Step S1130: and determining longitudinal wave impedance data and background longitudinal wave impedance data of the depth direction of the stratum according to the logging information.

Step S1140: and transversely interpolating the frame model by utilizing the longitudinal wave impedance data to obtain a low-frequency impedance model of the clastic rock stratum.

Step S1150: and determining a background low-frequency longitudinal wave impedance model of the carbonate stratum in the stratum based on the background longitudinal wave impedance value.

Step S1160: and determining a low-frequency model based on the low-frequency impedance model and the background low-frequency longitudinal wave impedance model.

And under the constraint of the frame model, transversely interpolating longitudinal wave impedance values in different single well longitudinal directions to obtain a well-interpolated low-frequency impedance model. Because the carbonate rock is strong in transverse heterogeneity, the model of single-well transverse interpolation cannot reflect the transverse distribution characteristics of the carbonate rock stratum. Thus, a downhole low frequency model may be used for clastic formations above the carbonate ceiling (T74 seismic reflection interface); and the carbonate rock stratum below T74 is a straight plate low-frequency model with a constant value, and the low-frequency model is replaced by the background longitudinal wave impedance value of the carbonate rock stratum. Wherein, the background longitudinal wave impedance value can represent the carbonate background value by a constant. Through the method, the abnormal value in the seismic data in the carbonate stratum can reflect the change of the reservoir, the false image caused by the abnormal low-frequency model of well interpolation is eliminated, and the actual underground condition is really reflected.

EXAMPLE III

On the basis of the first embodiment, the present embodiment explains the method in the first embodiment through a specific implementation case.

Step S110 includes the steps of:

Step S1140: and performing transverse interpolation on the frame model by using the longitudinal wave impedance data to obtain a low-frequency impedance model of the clastic rock stratum.

In the method for determining a reservoir, the well logging information includes: acoustic data and density data for a single well, the seismic data comprising: seismic wavelet data, said step S1110 comprising the steps of:

step S1111: the reflection coefficient is determined based on the acoustic data and the density data for the single well.

After the time domain wavelet is converted into the depth domain, due to the influence of speed, the waveform is compressed or stretched along with the depth, and therefore, the reflection coefficient can be calculated based on the acoustic wave data and the density data. When the reflection coefficient is calculated, the dominant frequency of the wavelet is calculated by selecting a well-side seismic channel with good quality on a depth migration section, the zero-phase wavelet is selected, and the acoustic wave time difference curve and the density curve are corrected, subjected to field value removal and the like before the reflection coefficient is calculated.

Step S1112: and performing convolution on the reflection coefficient and the seismic wavelets to obtain a synthetic seismic record.

Convolution, also known as convolution, is a mathematical method of integral transformation, and is a mathematical operator for generating a third function by two functions, and represents the integral of the product of function values of the overlapped part of the two functions after turning and shifting to the overlapping length. The synthetic seismic records obtained by convolution are seismic records, i.e., seismic traces, that have been artificially synthesized and converted using acoustic logging or vertical seismic profile data. The method is a very wide application in the seismic model technology, is also the basis of the work such as horizon calibration, reservoir description and the like, and is an intermediate medium for converting the geological model into seismic information. The synthetic seismic record is a bridge combining high-resolution logging information and regional seismic information, and the accuracy of the synthetic seismic record directly influences the accurate calibration of geological layers.

Step S1113: the time-depth relationship is established based on the synthetic seismic record.

The well data is in the depth domain and the seismic data is in the time domain. Obtaining reflection coefficient through sound wave and density data of a single well, obtaining synthetic seismic record by convolution of seismic wavelets and the reflection coefficient, calibrating the synthetic recording section and the seismic section passing through the well, and converting data of a depth domain into a time domain. The synthetic seismic record obtained by convolution of the reflection coefficient and the seismic wavelets can accurately establish the time-depth relation, so that the accurate reservoir is ensured to be determined.

Example four

In the above method for determining a reservoir, the step S130 includes the following steps:

step S131: setting the value of the relative impedance body corresponding to the clastic rock formation as a null value, and keeping a negative value in the value of the relative impedance body corresponding to the carbonate rock formation to obtain a negative value impedance model.

Specifically, in step S120, the relative impedance obtained by inverting the low-frequency model has a positive value and a negative value, and the impedance value above the top surface (T74 interface) of the carbonate formation may be set to be null, the positive value below the T74 interface may be set to be null, and the negative value below the T74 interface may be left, so as to obtain the negative impedance model of the carbonate formation below the T74 interface.

Step S132: and adding the negative impedance model and the low-frequency model to obtain a target low-frequency model.

Then, the low-frequency model established in step S110 and the negative impedance model with the negative part retained are added to obtain a new low-frequency model, i.e., the target low-frequency model. That is, in the negative impedance model, the vacant part with the positive value part below the T74 interface as the vacant value is replaced by the negative impedance model, and the target low-frequency model can be obtained.

EXAMPLE five

In the above method for determining a reservoir, the step S140 includes the following steps:

step S141: and performing constraint sparse pulse inversion by adopting the target low-frequency model based on the seismic data to obtain longitudinal wave impedance data of the stratum.

The inversion of the low frequency model in step S120 and the inversion of the target low frequency model in step S140 may be the same inversion. For example, both inversions can be performed in a constrained sparse pulse inversion manner.

Step S142: and determining target longitudinal wave impedance data based on the longitudinal wave impedance data and a longitudinal wave impedance threshold.

After an inversion result is obtained through constraint sparse pulse inversion, a longitudinal wave impedance threshold value can be obtained, when the longitudinal wave impedance threshold value is obtained, a longitudinal wave impedance value corresponding to the position of a beaded reflection corresponding cavern layer reservoir on a longitudinal wave impedance profile obtained through inversion can be determined through well seismic calibration according to a practically drilled cavern layer reservoir, and the longitudinal wave impedance threshold value of the cavern layer reservoir is determined by combining with a practical drilling well to obtain the longitudinal wave impedance value corresponding to the cavern layer reservoir. And then determining target longitudinal wave impedance data from the longitudinal wave impedance data according to the longitudinal wave impedance data and a longitudinal wave impedance threshold value.

Step S143: and determining the space position corresponding to the target longitudinal wave impedance data as a reservoir stratum in the stratum.

After the relative longitudinal wave impedance and the full-band longitudinal wave impedance are obtained in step S120, a new low-frequency model is established in step S130 using the relative longitudinal wave impedance, i.e., the relative impedance. After the sparse pulse inversion in step 140, the cave reservoir is mapped by using only the obtained longitudinal wave impedance of the full frequency band.

According to an embodiment of the present application, optionally, in the method for determining a reservoir, step S142 includes:

step S1421: comparing the magnitude of the longitudinal wave impedance data to the magnitude of the longitudinal wave impedance threshold;

step S1422: and determining the part of the longitudinal wave impedance data which is smaller than the longitudinal wave impedance threshold value as target longitudinal wave impedance data.

Specifically, in the carbonate formation, the longitudinal wave impedance data smaller than the longitudinal wave impedance threshold is determined as target longitudinal wave impedance data of the cavern layer reservoir. And carrying out constraint sparse pulse inversion on the target low-frequency model according to the longitudinal wave impedance threshold value to obtain the longitudinal wave impedance data of the stratum for depicting. And reserving the longitudinal wave impedance data which is smaller than the longitudinal wave impedance threshold value and determining the longitudinal wave impedance data as target longitudinal wave impedance data, and discarding the longitudinal wave impedance data which is larger than the longitudinal wave impedance threshold value, so that the space of the reservoir can be drawn according to the reserved target longitudinal wave impedance data.

EXAMPLE six

Referring to fig. 2, the present application provides a reservoir determination apparatus 200, comprising:

the low-frequency model establishing module 210 is configured to establish a low-frequency model according to the acquired seismic data and logging data of the formation in the target area;

a relative resistivity volume obtaining module 220, configured to perform inversion based on the low-frequency model to obtain a relative resistivity volume of the formation;

a target low-frequency model obtaining module 230, configured to update the low-frequency model according to the relative impedance body, so as to obtain a target low-frequency model;

a reservoir determination module 240, configured to perform inversion according to the target low-frequency model, determine compressional wave impedance data of the formation, and determine a reservoir in the formation based on the compressional wave impedance data.

According to an embodiment of the present application, in the above reservoir determining apparatus, optionally, the low frequency model building module 210 includes:

the low-frequency impedance model obtaining unit is used for performing transverse interpolation on the frame model by using the longitudinal wave impedance data to obtain a low-frequency impedance model of the clastic rock stratum;

According to an embodiment of the present application, optionally, in the apparatus for determining a reservoir, the well logging information includes: acoustic data and density data for a single well, the seismic data comprising: seismic wavelet data, the well-seismic calibration unit comprising:

a reflection coefficient determining subunit for determining a reflection coefficient based on the acoustic data and the density data of the single well;

According to an embodiment of the present application, in the above apparatus for determining a reservoir, the relative impedance obtaining module 220 includes:

According to an embodiment of the present application, in the above reservoir determining apparatus, the reservoir determining module 240 includes:

In summary, the present application provides a reservoir determination apparatus, comprising: the low-frequency model establishing module 210 is configured to establish a low-frequency model according to the acquired seismic data and logging data of the formation in the target area; a relative resistivity volume obtaining module 220, configured to perform inversion based on the low-frequency model to obtain a relative resistivity volume of the formation; a target low-frequency model obtaining module 230, configured to update the low-frequency model according to the relative impedance body, so as to obtain a target low-frequency model; a reservoir determination module 240, configured to perform inversion according to the target low-frequency model, determine compressional wave impedance data of the formation, and determine a reservoir in the formation based on the compressional wave impedance data. And establishing a low-frequency model according to seismic data and logging data of the stratum in the target area, and then performing inversion on the low-frequency model to obtain a relative impedance body of the stratum, wherein the relative impedance body can reflect information such as lithology, physical property and the like of the stratum. And updating the low-frequency model according to the relative impedance body, establishing a new low-frequency model, and performing post-stack impedance inversion on the new low-frequency model to obtain formation longitudinal wave impedance data so as to accurately determine the reservoir stratum by using the longitudinal wave impedance data.

EXAMPLE seven

The present embodiments also provide a computer readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App, etc., having stored thereon a computer program which, when executed by a processor, may implement the method steps of:

Optionally, in the method for determining a reservoir, step S110 includes the following steps:

performing transverse interpolation on the frame model by using the longitudinal wave impedance data to obtain a low-frequency impedance model of the clastic rock stratum;

Optionally, in the method for determining a reservoir, the well logging information includes: acoustic data and density data for a single well, the seismic data comprising: seismic wavelet data, said-depth relationship when establishing well-seismic calibration based on said acquired logging data and said seismic data, comprising the steps of:

Optionally, in the method for determining a reservoir, step S120 includes the following steps:

Optionally, in the method for determining a reservoir, step S130 includes the following steps:

Optionally, in the method for determining a reservoir, step S140 includes the following steps:

Optionally, in the method for determining a reservoir, the determining target compressional wave impedance data based on the compressional wave impedance data and a compressional wave impedance threshold includes:

comparing the magnitude of the longitudinal wave impedance data with the magnitude of the longitudinal wave impedance threshold;

The specific embodiment process of the above method steps can be referred to as embodiment one, and the detailed description of this embodiment is not repeated herein.

Example eight

The embodiment of the present application provides an electronic device, which may be a mobile phone, a computer, a tablet computer, or the like, and includes a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, implements the reservoir determination method as described in the first embodiment. It is understood that, as shown in fig. 3, the electronic device 300 may further include: a processor 301, a memory 302, a multimedia component 303, an input/output (I/O) interface 304, and a communication component 305.

The processor 301 is configured to perform all or part of the steps of the reservoir determination method according to the first embodiment. The memory 302 is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data.

The Processor 301 may be implemented by an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to execute the method for determining the reservoir in the first embodiment.

The Memory 302 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.

The multimedia component 303 may include a screen, which may be a touch screen, and an audio component for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving an external audio signal. The received audio signal may further be stored in a memory or transmitted through a communication component. The audio assembly also includes at least one speaker for outputting audio signals.

The I/O interface 304 provides an interface between the processor 301 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.

The communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so that the corresponding Communication component 305 may include: wi-Fi module, bluetooth module, NFC module.

In summary, according to the reservoir determination method, the reservoir determination device, the storage medium and the electronic device, a low-frequency model is established according to the acquired seismic data and well logging data of the stratum in the target area; carrying out inversion based on the low-frequency model to obtain a relative impedance body of the stratum; updating the low-frequency model according to the relative impedance body to obtain a target low-frequency model; and performing inversion according to the target low-frequency model, and determining longitudinal wave impedance data of the stratum so as to determine a reservoir stratum in the stratum based on the longitudinal wave impedance data. And establishing a low-frequency model according to seismic data and logging data of the stratum in the target area, and then inverting the low-frequency model to obtain a relative impedance of the stratum, wherein the relative impedance can reflect information such as lithology, physical properties and the like of the stratum. And updating the low-frequency model according to the relative impedance body, establishing a new low-frequency model, and performing post-stack impedance inversion on the new low-frequency model to obtain formation longitudinal wave impedance data so as to accurately determine the reservoir stratum by using the longitudinal wave impedance data.

In the several embodiments provided in the embodiments of the present application, it should be understood that the disclosed system and method may be implemented in other ways. The system and method embodiments described above are merely illustrative.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.

Although the embodiments disclosed in the present application are described above, the descriptions are only for the convenience of understanding the present application, and are not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.

Claims

1. A method of reservoir determination, the method comprising:

2. The method of claim 1, wherein the building a low frequency model from the acquired seismic and well log data of the earth formations in the target region comprises:

3. The method of claim 2, wherein the well log data comprises: acoustic data and density data for a single well, the seismic data comprising: seismic wavelet data, said well-seismic calibration build-time-depth relationship based on said acquired logging data and said seismic data, comprising:

4. The method of claim 1, wherein inverting based on the low frequency model to obtain a relative resistivity volume of the formation comprises:

5. The method of claim 1, wherein the updating the low frequency model according to the relative impedance to obtain a target low frequency model comprises:

6. The method of claim 1, wherein the inverting from the target low frequency model to determine compressional impedance data of the formation to determine a reservoir in the formation based on the compressional impedance data comprises:

7. The method of claim 6, wherein said determining target compressional impedance data based on the compressional impedance data and a compressional impedance threshold comprises:

8. An apparatus for reservoir determination, the apparatus comprising:

the low-frequency model establishing module is used for establishing a low-frequency model according to the acquired seismic data and the logging data of the stratum in the target area;

9. A storage medium storing a computer program which, when executed by one or more processors, is adapted to carry out the method of reservoir determination of any one of claims 1 to 7.

10. An electronic device, comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, performs the method of reservoir determination of any one of claims 1-7.