Dolomite reservoir formation testing yield splitting method and system and electronic equipment

Abstract

The invention discloses a dolomite reservoir formation testing yield splitting method and system and electronic equipment, and belongs to the technical field of oil exploration productivity prediction.The dolomite reservoir formation testing yield splitting method comprises the steps that formation testing data is preprocessed, and formation testing productivity of a reservoir is subjected to normalization conversion; the reservoir performance of the reservoir is quantitatively represented; the reservoir parameter lower limit is determined according to the oil testing liquid production capacity and the reservoir performance in the oil testing section, the precision and rationality of the reservoir parameter lower limit are improved, the oil testing section is segmented into a plurality of output small layers according to the reservoir parameter lower limit, the reservoir performance proportion of each small layer is calculated, and the yield of each output small layer is calculated according to the reservoir performance proportion. According to the oil testing productivity splitting method based on the multi-well optimization method, an effective relation is established between the reservoir reservoir performance and the oil testing productivity, reasonable splitting of the oil testing yield is achieved, and the problem of splitting of the oil testing productivity of the reservoir is solved.

Description

Technical Field

[0001] The invention belongs to the technical field of oil exploration capacity prediction, and in particular relates to a dolomite reservoir oil test production splitting method, system and electronic equipment. Background Art

[0002] The commonly used liquid production splitting method in well logging is the liquid production splitting method based on the KH coefficient. The principle is that oil and gas are distributed in the effective thickness, and the liquid production is split according to the ratio of the permeability of each production layer multiplied by the effective thickness. This method is more suitable for ideal formations, and the KH splitting method has limitations in the application of dolomite reservoirs, mainly in the following aspects: due to the existence of fractures and caves in dolomite reservoirs, the calculation error of permeability is large, and the error after splitting is large; the effective production layer section in the thick test oil layer is difficult to determine. Summary of the invention

[0003] In order to overcome the shortcomings of the above-mentioned prior art, the purpose of the present invention is to provide a dolomite reservoir oil test production splitting method, system and electronic equipment to solve the technical problems of large errors after splitting in the prior art and difficulty in determining the effective production layer section within the extremely thick oil test layer.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] A dolomite reservoir oil test production splitting method comprises the following steps:

[0006] Obtain well logging data and oil test data, pre-process the oil test data, and obtain the oil test liquid production under a unified standard based on the oil test data; calculate the reservoir performance in the oil test section based on the well logging data;

[0007] Determine the lower limit of reservoir parameters based on the test fluid production and reservoir performance in the test section;

[0008] According to the lower limit of reservoir parameters, the test oil section is divided into multiple production sub-layers, and the reservoir performance ratio of each sub-layer is calculated;

[0009] The production of each producing sublayer is calculated based on the proportion of reservoir performance.

[0010] Preferably, when the oil test data is preprocessed, the oil test liquid production is normalized and converted according to influencing factors to form a unified standard of oil test liquid production to reflect the production capacity characteristics of different wells.

[0011] Preferably, the normalized conversion is specifically:

[0012]

[0013] In the formula, Q o is the daily oil production; Q gis the daily gas production; Q w is the daily water production; P o V is the oil pressure during testing; a is the oil nozzle for testing; Y is the converted liquid output.

[0014] Preferably, the reservoir performance in the oil test section is calculated by: using an integration method according to depth in the oil test section, by setting a specific cutoff value characterizing the reservoir performance parameter, to quantitatively calculate the reservoir performance; and by setting an effective step value, the cutoff value is continuously and stably increased, and the reservoir performance in the oil test section at different cutoff values ​​is calculated.

[0015] Preferably, the calculation formula for quantitatively calculating reservoir performance is:

[0016]

[0017] In the formula, sdep and edep are the top and bottom boundaries of the test oil section, respectively; sdep_ and edep_t are the top and bottom boundaries of the section less than the cutoff value, respectively; It is a parameter to characterize reservoir performance.

[0018] Preferably, the method of determining the lower limit of the reservoir parameters according to the test oil production and the reservoir performance in the test oil section is to use the test oil production and the reservoir performance in the test oil section as input data, calculate the covariance and overall variance between multiple wells, and establish a correlation coefficient model. The formula for determining the lower limit of the reservoir parameters according to the maximum correlation coefficient model is as follows:

[0019] Energy storage in oil testing section:

[0020] X=X 1 , X 2 , …, X n (3)

[0021] Production capacity of oil testing section:

[0022] Y=Y 1 , Y 2 , …, Y n (4)

[0023] Covariance:

[0024]

[0025] Population variance:

[0026]

[0027] Correlation coefficient:

[0028]

[0029] The lower limit of reservoir parameters is determined by the size of the correlation coefficient;

[0030] Among them, X represents the reservoir performance, Xi represents the reservoir performance of different wells, Y represents the difference in the oil testing section, and Yi represents the production of the oil testing section of different wells.

[0031] Preferably, the method of dividing the oil test section according to the lower limit of the reservoir parameter and establishing the production capacity splitting model is to divide the oil test section according to the lower limit of the reservoir parameter, divide the oil test section into multiple small layers, and establish the production capacity splitting model based on the reservoir parameters and thickness of each small layer, forming the following splitting relationship:

[0032]

[0033] In the formula, Q t Q is the converted liquid production; i is the liquid production of the i-th split layer after conversion; is the energy storage standard parameter of the i-th split layer; H i is the thickness of the i-th split layer.

[0034] The present invention also discloses a dolomite reservoir oil test production splitting system using a multi-well production optimization method, comprising:

[0035] The preprocessing unit is used to obtain well logging data and oil test data, and preprocess the oil test data to obtain the oil test liquid production under a unified standard based on the oil test data; and calculate the reservoir performance in the oil test section based on the well logging data;

[0036] The first calculation unit is used to determine the lower limit of the reservoir parameters according to the test oil production and the reservoir performance in the test oil section;

[0037] The second calculation unit is used to divide the oil test section into multiple production sub-layers according to the lower limit of the reservoir parameters, and calculate the reservoir performance ratio of each sub-layer;

[0038] The third calculation unit is used to calculate the output of each producing sublayer according to the reservoir performance ratio.

[0039] The present invention also discloses an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned dolomite reservoir oil test production splitting methods are implemented.

[0040] The present invention also discloses a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any of the above-mentioned dolomite reservoir oil test production splitting methods are implemented.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The present invention discloses a dolomite reservoir oil test production splitting method, which pre-processes the oil test data, normalizes and converts the oil test production capacity of the reservoir; quantitatively characterizes the reservoir performance of the reservoir; determines the lower limit of the reservoir parameters according to the oil test liquid production and the reservoir performance in the oil test section, thereby improving the accuracy and rationality of the lower limit of the reservoir parameters; divides the oil test section into a plurality of production sublayers according to the reservoir parameter lower limit, calculates the reservoir performance ratio of each sublayer, and calculates the production of each production sublayer according to the reservoir performance ratio; the oil test production capacity splitting method based on the multi-well optimization method establishes an effective connection between the reservoir performance and the oil test production capacity, realizes the reasonable splitting of the oil test production, and solves the problem of large errors after splitting and difficulty in determining the effective production layer section in the thick oil test layer.

[0043] Furthermore, the method of calculating the covariance and overall variance between the production capacity and reservoir performance of multiple well test sections and establishing a correlation coefficient model is used to determine the reasonable lower limit of reservoir parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of the method of the present invention;

[0045] Figure 2 is a flow chart of a method according to an embodiment of the present invention;

[0046] Figure 3 A schematic diagram of a reservoir performance calculation method with a variable cutoff value provided in an embodiment of the present invention;

[0047] Figure 4 A graph showing the correlation between energy production capacity and energy storage when the correlation coefficient is the largest provided in an embodiment of the present invention;

[0048] Figure 5 This is a diagram showing the effect of yield splitting provided in an embodiment of the present invention;

[0049] Figure 6 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0050] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0051] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0052] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0053] Aiming at the problem of analyzing the existing logging and oil test data in the study block and the oil test gas production data under different working systems in the long perforation section, the present invention proposes a dolomite reservoir oil test production splitting method, which calculates the covariance and overall variance between multiple wells by using the normalized converted oil test production and the calculated reservoir performance, establishes a correlation coefficient model, determines the lower limit of reservoir parameters, and provides a reliable data basis for the reasonable splitting of the oil test production.

[0054] In order to achieve the above object, the present invention provides the following technical solutions:

[0055] The present invention discloses a dolomite reservoir oil test production splitting method, see Figure 1 , including the following steps:

[0056] S1: Obtain well logging data and oil test data, pre-process the oil test data, and obtain the oil test liquid production under a unified standard based on the oil test data; calculate the reservoir performance in the oil test section based on the well logging data;

[0057] S2: Determine the lower limit of reservoir parameters based on the test fluid production and reservoir performance in the test section;

[0058] S3: Divide the oil test section into multiple production sub-layers according to the lower limit of reservoir parameters, and calculate the reservoir performance ratio of each sub-layer;

[0059] S4: Calculate the production of each producing sub-layer based on the proportion of reservoir performance.

[0060] In some embodiments, when the oil test data is preprocessed, the oil test liquid production is normalized and converted according to influencing factors to form a unified standard of oil test liquid production to reflect the production capacity characteristics of different wells.

[0061] In some embodiments, the normalization conversion is specifically:

[0062]

[0063] In the formula, Q o is the daily oil production; Q g is the daily gas production; Q w is the daily water production; P o V is the oil pressure during testing; a is the oil nozzle for testing; Y is the converted liquid output.

[0064] In S1, the collation and preprocessing of oil test data is a normalized application of oil test data, which mainly includes the unification of output phase, working system, and production pressure difference. Through gas-liquid conversion, unification of nozzle size and pressure difference, a unified standard of oil test liquid production is formed.

[0065] In some embodiments, the reservoir performance in the oil test section is calculated by: using the integration method according to the depth in the oil test section, by setting a specific cutoff value that characterizes the reservoir performance parameter of the reservoir, the reservoir performance is quantitatively calculated; and by setting an effective step value, the cutoff value is continuously and stably increased, and the reservoir performance in the oil test section at different cutoff values ​​is calculated. The method of calculating continuously variable reservoir performance by the method of integration according to depth is a mature calculation method with the characteristics of high calculation accuracy.

[0066] In some embodiments, the calculation formula for quantitatively calculating reservoir performance is:

[0067]

[0068] Where, Sdep and edep are the top and bottom boundaries of the oil test section, respectively; sdep_cut and edep_cut are the top and bottom boundaries of the section less than the cutoff value, respectively; It is a parameter to characterize reservoir performance.

[0069] In some embodiments, the method of determining the lower limit of the reservoir parameters according to the test oil production and the reservoir performance in the test oil section is to use the test oil production and the reservoir performance in the test oil section as input data, calculate the covariance and overall variance between multiple wells, and establish a correlation coefficient model. The formula for determining the lower limit of the reservoir parameters according to the maximum correlation coefficient model is as follows:

[0070] Energy storage in oil testing section:

[0071] X=X 1 , X 2 , …, X n (3)

[0072] Production capacity of oil testing section:

[0073] Y=Y 1 , Y 2 , …, Yn (4)

[0074] Covariance:

[0075]

[0076] Population variance:

[0077]

[0078] Correlation coefficient:

[0079]

[0080] The lower limit of reservoir parameters is determined by the size of the correlation coefficient;

[0081] Among them, X represents the reservoir performance, Xi represents the reservoir performance of different wells, Y represents the difference in the oil testing section, and Yi represents the production of the oil testing section of different wells.

[0082] In some embodiments, the method of dividing the oil test section according to the lower limit of the reservoir parameter and establishing the production capacity splitting model is to divide the oil test section according to the lower limit of the reservoir parameter, divide it into multiple small layers, and establish a production capacity splitting model based on the reservoir parameters and thickness of each small layer, forming the following splitting relationship:

[0083]

[0084] In the formula, Q t Q is the converted liquid production; i is the liquid production of the i-th split layer after conversion; is the energy storage standard parameter of the i-th split layer; H i is the thickness of the i-th split layer.

[0085] [Example]

[0086] like Figure 2 As shown, the present invention provides a method for splitting the production of dolomite reservoir oil testing by a multi-well productivity optimization method, which is carried out according to the following steps:

[0087] Step 1: Organize the oil test data. Perform normalization and conversion preprocessing on the oil test liquid production, taking into account factors such as liquid phase, working system, and production pressure difference, to obtain the oil test production under a unified standard.

[0088] Normalized conversion relationship of oil test liquid production:

[0089]

[0090] In the formula, Q o is the daily oil production, m 3 / d;Q g is the daily gas production, m 3 / d;Q w is the daily water production, m 3 / d;P o V is the oil pressure during testing, MPa; a is the oil nozzle for testing, mm; Y is the converted liquid output, m 3 / d.

[0091] In the test section, the reservoir performance is quantitatively calculated by using the integration method according to the depth and by setting a specific cutoff value that characterizes the reservoir performance parameters. And by setting an effective step value, the cutoff value is continuously and stably increased, so as to calculate the reservoir performance in the test section at different cutoff values;

[0092]

[0093] Where: sdep and edep are the top and bottom boundaries of the oil test section, respectively, in m; sdep_cut and edep_cut are the top and bottom boundaries of the section less than the cutoff value, respectively, in m; is a dimensionless parameter characterizing reservoir performance. The calculation of reservoir performance with different cutoff values ​​is realized through VBI programming.

[0094] Step 2: Take the test oil production and reservoir performance determined in step 1 as input data, calculate the covariance and overall variance among multiple wells, establish a correlation coefficient model, and determine the lower limit of reservoir parameters based on the maximum correlation coefficient model. The specific algorithm is as follows:

[0095] Energy storage in oil testing section:

[0096] X=X 1 , X 2 , …, X n (3)

[0097] Production capacity of oil testing section:

[0098] Y=Y 1 , Y 2 , …, Y n (4)

[0099] Covariance:

[0100]

[0101] Population variance:

[0102]

[0103] Correlation coefficient:

[0104]

[0105] The lower limit of reservoir parameters is determined by the size of the correlation coefficient (see Appendix Figure 3 ).

[0106] Step 3: Divide the oil test section into multiple small layers according to the lower limit of reservoir parameters, and calculate the proportion of reservoir performance of each small layer;

[0107] Step 4: Calculate the production of each producing layer based on the proportion of reservoir performance; specifically, the following splitting relationship is used:

[0108]

[0109] In the formula, Q t is the converted liquid production, m 3 / d;Q i is the liquid production of the i-th split layer after conversion, m 3 / d; is the energy storage standard parameter of the i-th split layer; H i is the thickness of the i-th split layer.

[0110] Below, the specific implementation of this embodiment is further described in detail to support the technical problem to be solved by the present invention. The following steps are performed:

[0111] Step 1: Select 7 wells in the study area with clear oil test results and complete logging data as basic samples for normalization and conversion of production capacity to obtain the oil test liquid production under a unified standard.

[0112] Step 2: sort out the reservoir characterization parameters of the 7 wells selected, set an initial cutoff value of the reservoir characterization parameter in the test oil section, exclude the depth section with the parameter less than the cutoff value, and perform integral calculation; then set a valid step value and continue the integral calculation, so as to calculate the reservoir performance in the test oil section at different cutoff values, such as Figure 3 shown.

[0113] Step 3: Calculate the covariance and overall variance between multiple wells using the reservoir performance of the test oil section at different cutoff values ​​obtained in step 2 and the standard test oil production converted in step 1, and establish a correlation coefficient model. Determine the lower limit of reservoir parameters based on the maximum correlation coefficient. The correlation relationship diagram is shown in Figure 4 .

[0114] Step 4: According to the lower limit of reservoir parameters determined in step 3, the test oil section is divided into multiple small layers. The reservoir performance of each small layer and the cumulative total reservoir performance are calculated based on the reservoir parameters and thickness. The output of a single small layer is calculated by the proportion of reservoir performance. The application results in a certain well are shown in Figure 5 .

[0115] In summary, the invention proposes a method for splitting the production of dolomite reservoir oil test, which is innovative in that: the oil test capacity of the reservoir is normalized and converted; the reservoir performance of the reservoir is quantitatively characterized; and a method for calculating the covariance and overall variance between the production capacity and reservoir performance of multiple well oil test sections and establishing a correlation coefficient model is used to determine a reasonable lower limit of the reservoir parameter. This method establishes an effective connection between the reservoir performance and the oil test capacity, and realizes a reasonable splitting of the oil test production.

[0116] The present invention also discloses a dolomite reservoir oil test production splitting system using a multi-well production optimization method, see Figure 6 ,include:

[0117] The preprocessing unit is used to obtain well logging data and oil test data, and preprocess the oil test data to obtain the oil test liquid production under a unified standard based on the oil test data; and calculate the reservoir performance in the oil test section based on the well logging data;

[0118] The first calculation unit is used to determine the lower limit of the reservoir parameters according to the test oil production and the reservoir performance in the test oil section;

[0119] The second calculation unit is used to divide the oil test section into multiple production sub-layers according to the lower limit of the reservoir parameters, and calculate the reservoir performance ratio of each sub-layer;

[0120] The third calculation unit is used to calculate the output of each producing sublayer according to the reservoir performance ratio.

[0121] The present invention also discloses an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned dolomite reservoir oil test production splitting methods are implemented.

[0122] The present invention also discloses a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any of the above-mentioned dolomite reservoir oil test production splitting methods are implemented.

[0123] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0124] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0125] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0126] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A dolomite reservoir oil test production splitting method, characterized in that: The following steps are involved: Obtain well logging data and oil test data, pre-process the oil test data, and obtain the oil test liquid production under a unified standard based on the oil test data; calculate the reservoir performance in the oil test section based on the well logging data; Determine the lower limit of reservoir parameters based on the test fluid production and reservoir performance in the test section; According to the lower limit of reservoir parameters, the test oil section is divided into multiple production sub-layers, and the reservoir performance ratio of each sub-layer is calculated; The production of each producing sublayer is calculated based on the proportion of reservoir performance.

2. A dolomite reservoir oil test production splitting method according to claim 1, characterized in that: When the oil test data is preprocessed, the oil test liquid production is normalized and converted according to the influencing factors to form the oil test liquid production under a unified standard to reflect the production capacity characteristics of different wells.

3. A dolomite reservoir oil test production splitting method according to claim 2, characterized in that: The normalization conversion is specifically: In the formula, Q o is the daily oil production; Q g is the daily gas production; Q w is the daily water production; P o V is the oil pressure during testing; a is the oil nozzle for testing; Y is the converted liquid output.

4. A dolomite reservoir oil test production splitting method according to claim 1, characterized in that: The reservoir performance in the oil test section is calculated by: using an integration method according to depth in the oil test section, by setting a specific cutoff value representing the reservoir performance parameter, the reservoir performance is quantitatively calculated; and by setting an effective step value, the cutoff value is continuously and stably increased, and the reservoir performance in the oil test section at different cutoff values ​​is calculated.

5. A dolomite reservoir oil test production splitting method according to claim 4, characterized in that: The calculation formula for quantitatively calculating the reservoir performance is: In the formula, edep and edep are the top and bottom boundaries of the test oil section respectively; sdep_cut and edep_cut t are the top and bottom boundaries of the section less than the cutoff value respectively; It is a parameter to characterize reservoir performance.

6. A dolomite reservoir oil test production splitting method according to claim 1, characterized in that: The method of determining the lower limit of reservoir parameters according to the test oil production and the reservoir performance in the test oil section is to use the test oil production and the reservoir performance in the test oil section as input data, calculate the covariance and overall variance between multiple wells, and establish a correlation coefficient model. The formula for determining the lower limit of reservoir parameters according to the maximum correlation coefficient model is as follows: Energy storage in oil testing section: X=X1,X2,…,X n (3) Production capacity of oil testing section: Y=Y1,Y2,…,Y n (4) Covariance: Population variance: Correlation coefficient: The lower limit of reservoir parameters is determined by the size of the correlation coefficient; Among them, X represents the reservoir performance, Xi represents the reservoir performance of different wells, Y represents the difference in the oil testing section, and Yi represents the production of the oil testing section of different wells.

7. A dolomite reservoir oil test production splitting method according to claim 1, characterized in that: The production of each producing sub-layer is calculated based on the proportion of reservoir performance, and the following splitting relationship is specifically used: In the formula, Q t Q is the converted liquid production; i is the liquid production of the i-th split layer after conversion; is the energy storage standard parameter of the i-th split layer; H i is the thickness of the i-th split layer.

8. A dolomite reservoir oil test production splitting system using a multi-well productivity optimization method, characterized in that: include: A preprocessing unit, which obtains well logging data and oil test data, preprocesses the oil test data, and obtains the oil test liquid production under a unified standard based on the oil test data; Calculate the reservoir performance in the oil testing section based on the logging data; The first calculation unit is used to determine the lower limit of the reservoir parameters according to the test oil production and the reservoir performance in the test oil section; The second calculation unit is used to divide the oil test section into multiple production sub-layers according to the lower limit of the reservoir parameters, and calculate the reservoir performance ratio of each sub-layer; The third calculation unit is used to calculate the output of each producing sublayer according to the reservoir performance ratio.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the dolomite reservoir oil testing production splitting method as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the dolomite reservoir oil testing production splitting method according to any one of claims 1 to 7.

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