Full-well-section quasi-steady-state oil extraction index prediction method and device, electronic equipment and medium

Abstract

The invention provides a full-well-section quasi-steady-state oil production index prediction method and device, electronic equipment and a medium. The method comprises the steps that unstable oil production indexes of multiple test sections, well test interpretation KH values of the multiple test sections, well logging interpretation KH values of the multiple test sections, well logging interpretation KH values of a full well section and a calculation model of the unstable oil production indexes are obtained; determining a linear regression coefficient of the calculation model of the unstable oil production index; calculating a well test interpretation KH value of the whole well section; calculating an unstable oil production index of the whole well section; and the quasi-steady-state oil production index of the whole well section is obtained. According to the method, the technical problem of calculation of the quasi-steady-state oil production index during full-well-section production of the oil well in the future under the conditions that the test data of the oil well is incomplete, only partial layer section test is carried out and long-time pilot production is not carried out is solved, and effective support is provided for reasonable evaluation of oil well productivity and development concept design.

Description

Technical Field

[0001] The present application relates to the technical field of oil and gas field development, and in particular to a method, device, electronic equipment and medium for predicting a pseudo-steady-state oil production index of a whole well section. Background Art

[0002] The production capacity of oil wells not only determines the economic benefits of development, but also directly affects the construction scale of oil and gas gathering, transportation, supply and injection systems and their adaptability after development and implementation. The most important parameter to characterize oil well productivity is the oil production index. The oil production index is the oil production capacity under unit production pressure difference, which reflects the comprehensive index of the relationship between reservoir properties, fluid parameters, completion conditions and oil leakage area and oil well productivity. Correct evaluation of oil well productivity can provide the most basic production decision-making basis for oil field development and improve the economic benefits of oil and gas exploration and development. However, when evaluating the value of oil and gas assets in the evaluation stage, the main problem is that the oil field has not yet been formally developed, only exploration wells and evaluation wells have been drilled in the oil field, the test data is incomplete, only some layers of some wells have been tested for production, and the oil wells have not been tested for a long time. At this time, in order to prepare a development plan and evaluate the asset value, the first thing to do is to estimate the production capacity (oil well productivity) of the entire well section of the oil well. Therefore, based on the data of production tests of some layers of some wells, predicting the quasi-steady-state oil production index of the entire well section and reasonably evaluating the oil well productivity are problems that need to be solved in actual work.

[0003] At present, the main methods for calculating the oil recovery index are theoretical formula calculation method, neural network model method and field test method. The theoretical formula method is based on Darcy's law of seepage mechanics. It is obtained by theoretical deduction under the assumption that the reservoir is homogeneous and of equal thickness. Its main problem is that some parameters of the formula (such as permeability, oil leakage radius, skin coefficient, etc.) are not easy to obtain accurately, and the calculation error is usually large. The neural network model method requires a large amount of sample data to be provided first, and the model is complex, the calculation process is complex, and the practicality and adaptability are not strong. The field test method usually uses system well test data to obtain the oil recovery index, that is, the production and flow pressure under 3-5 stable states are measured, and the dimensionless IPR curve of the oil well is drawn. When the oil layer and the bottom of the well are in a single-phase stable flow, the curve is a straight line, and the negative reciprocal of the slope of the straight line is the oil recovery index. Its main problem is that due to the short flow time, the test radius gradually expands, and the requirement of stable flow is not met. The oil recovery index obtained in this way is the oil recovery index under unstable conditions, which is much higher than the oil recovery index under stable production conditions and cannot be directly used in the design of oil field development plans. In addition, in actual production, testing only involves partial layers, and full-well testing is rarely performed. Therefore, the oil production index calculated based on test data cannot represent the oil production index of the entire well section. The above three methods do not solve the technical problem of how to predict the quasi-steady-state oil production index of the entire well section based on limited test data and reasonably evaluate the oil well production capacity. Summary of the invention

[0004] In view of this, the present application provides a method, device, electronic device and storage medium for predicting the quasi-steady-state oil production index of the entire well section, so as to solve the technical problem in the prior art that it is impossible to predict the quasi-steady-state oil production index of the entire well section based on limited test data and reasonably evaluate the oil well production capacity.

[0005] In a first aspect, an embodiment of the present application provides a method for predicting a pseudo-steady-state oil production index for a whole well section, the method comprising:

[0006] Obtain unstable oil production index of multiple test sections, well test interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of the entire well section and a calculation model for unstable oil production index;

[0007] Determining a linear regression coefficient of a calculation model of the unstable oil production index according to the unstable oil production indexes of the multiple test sections and the well test interpretation KH values ​​of the multiple test sections;

[0008] Calculating the well test interpretation KH value of the whole well section according to the well test interpretation KH values ​​of the plurality of test sections, the well logging interpretation KH values ​​of the plurality of test sections and the well logging interpretation KH value of the whole well section;

[0009] Calculating the unstable oil production index of the entire well section according to the well test interpretation KH value of the entire well section and the calculation model of the unstable oil production index;

[0010] The unstable oil production index of the entire well section is corrected to obtain a pseudo-steady-state oil production index of the entire well section.

[0011] Furthermore, the calculation formula of the unstable oil production index of the test section is as follows:

[0012]

[0013] Among them, J o is the unstable oil production index of the test section, P R is the formation pressure, P wf is the bottom hole flowing pressure, and q0 is the test production.

[0014] Furthermore, the calculation model of the unstable oil production index is:

[0015] J o =a*KH 试井 +b (2)

[0016] Among them, KH 试井 is the KH value interpreted by the well test, and a and b are the linear regression coefficients.

[0017] Further, the calculating the well test interpretation KH value of the whole well section according to the well test interpretation KH values ​​of the plurality of test sections, the well logging interpretation KH values ​​of the plurality of test sections and the well logging interpretation KH value of the whole well section comprises:

[0018] Calculating a correction coefficient according to the well test interpretation KH values ​​of the plurality of test sections and the well logging interpretation KH values ​​of the plurality of test sections;

[0019] The well testing interpretation KH value of the whole well section is calculated according to the correction coefficient and the well testing interpretation KH value of the whole well section.

[0020] Furthermore, the calculation formula of the correction coefficient is as follows:

[0021]

[0022] Where m is the correction factor, is the well test interpretation KH value of the ith test section, is the logging interpretation KH value of the ith test section.

[0023] Further, the calculation formula of the well test interpretation KH value of the whole well section is as follows:

[0024]

[0025] Where m is the correction factor, is the well test interpretation KH value of the ith test section, is the logging interpretation KH value of the ith test section.

[0026] Furthermore, the formula for correcting the unstable oil production index of the entire well section is as follows:

[0027] J′ o =J o *C1*C2 (5)

[0028] Among them, J′ o It is the quasi-steady-state oil production index of the entire well section. According to actual production experience, C1 is the interlayer interference correction coefficient, and C2 is the unstable-quasi-steady-state correction coefficient.

[0029] In a second aspect, an embodiment of the present application provides a device for predicting a pseudo-steady-state oil production index for a whole well section, the device comprising:

[0030] A parameter and calculation model acquisition module is used to acquire unstable oil production indexes of multiple test sections, well test interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of the entire well section, and a calculation model of unstable oil production index;

[0031] A coefficient determination module, which determines a linear regression coefficient of a calculation model of the unstable oil production index according to the unstable oil production indexes of the multiple test sections and the well test interpretation KH values ​​of the multiple test sections;

[0032] A well test interpretation KH value calculation module for the entire well section, which calculates the well test interpretation KH value for the entire well section according to the well test interpretation KH values ​​for the multiple test sections, the well logging interpretation KH values ​​for the multiple test sections and the well logging interpretation KH value for the entire well section;

[0033] A whole-well section unstable oil production index calculation module, which calculates the whole-well section unstable oil production index according to the well test interpretation KH value of the whole-well section and the calculation model of the unstable oil production index;

[0034] The whole well section quasi-steady-state oil production index calculation module amends the whole well section unstable oil production index to obtain the whole well section quasi-steady-state oil production index.

[0035] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0036] processor;

[0037] Memory;

[0038] And a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, and when the instructions are executed by the processor, the electronic device executes any one of the methods described in the first aspect.

[0039] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the methods described in the first aspect.

[0040] The present application provides a method for predicting the pseudo-steady-state oil production index of the entire well section. The method is based on the test data of some layers, combined with the logging interpretation and the well test interpretation, to obtain the logging interpretation KH value and the well test interpretation KH value of the test section; a regression relationship is established according to the relationship between the unstable oil production index of the test section and the well test interpretation KH value of the test section; the correction relationship between the two is determined according to the logging interpretation KH value and the well test interpretation KH value of the test section, and the well test interpretation KH value of the entire well section is determined based on the correction relationship and the logging interpretation KH value of the entire well section, and then the well test interpretation KH value is substituted into the regression relationship to calculate the unstable oil production index of the entire well section, and the two correction factors of interlayer interference and unstable-pseudo-stable conversion are considered at the same time to predict the pseudo-steady-state oil production index of the entire well section, which has strong practicality. The method solves the technical problem of calculating the pseudo-steady-state oil production index when the oil well is producing the entire well section in the future when the test data of the oil well is incomplete, only part of the layer section is tested, and no long-term test production is carried out, and provides effective support for the reasonable evaluation of the oil well production capacity and the development concept design. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0042] Figure 1 A schematic diagram of a flow chart of a method for predicting a pseudo-steady-state oil production index for a whole well section provided in an embodiment of the present application;

[0043] Figure 2 The vertical distribution map of the DST test layer of the Z-2st well provided in the embodiment of the present application;

[0044] Figure 3 The DST1a shut-in pressure recovery curve and well test interpretation curve provided in the embodiment of the present application;

[0045] Figure 4 The DST1a+1b shut-in pressure recovery curve and well test interpretation curve provided in the embodiment of the present application;

[0046] Figure 5 The DST2 shut-in pressure recovery curve and well test interpretation curve provided in the embodiment of the present application;

[0047] Figure 6 A fitting relationship diagram of the unstable oil production index and the KH value interpreted by the well test provided in the embodiment of the present application;

[0048] Figure 7A structural block diagram of a device for predicting a pseudo-steady-state oil production index for a whole well section provided in an embodiment of the present application;

[0049] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to better understand the technical solution of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0051] It should be clear that the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0052] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0053] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0054] Take an oil field in a block in the Gulf of Mexico as an example. Four wells have been drilled in the oil field. The four wells are divided into eight layers from top to bottom, Zone 1 to Zone 8. Only one well, Z-2st, was tested with DST three times. The planned production layer of Z-2st is Zone 3 to Zone 7, but only the Zone 3, Zone 5+Zone 6, and Zone 6 layers of Z-2st were tested with DST. Other layers were not tested. The following will explain in detail how to obtain the pseudo-steady-state oil production index of the entire well section of Z-2st well based on the test data of Zone 3, Zone 5+Zone 6, and Zone 6 layers of Z-2st well.

[0055] See also Figure 1 , is a flow chart of a method for predicting a pseudo-steady-state oil production index for a whole well section provided in an embodiment of the present application, such as Figure 1 As shown, the method mainly includes the following steps.

[0056] S101: Obtain unstable oil production indexes of multiple test sections, well test interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of the entire well section, and a calculation model for unstable oil production indexes.

[0057] DST tests were performed on Zone 3, Zone 5+Zone 6, and Zone 6 layers of the Z-2st well. The vertical distribution diagram of the DST test layers is shown in the figure below. Figure 2 The specific test information is shown in Table 1, where the test numbers of the DST tests in Zone3, Zone5+Zone6, and Zone6 are DST 2, DST1a+1b, and DST1a, respectively.

[0058] Table 1:

[0059]

[0060] Well test interpretations were performed on DST1a, DST1a+1b and DST 2 respectively to obtain the well test interpretation results of each test section.

[0061] (1) Perform well test interpretation on DST1a and obtain the well test interpretation results of DST1a.

[0062] The DST1a test layer is zone 6, and the test section is 3299-3323m. The test nozzle sizes used are 8 / 64' and 12 / 64', the test pressure differences are 330psi and 590psi respectively, and the test oil production rates are 461bbl / d and 1189bbl / d respectively.

[0063] The shut-in pressure recovery curve was selected for pressure fitting analysis, and the fixed well storage + linear composite infinite reservoir model was selected for well test interpretation. The shut-in pressure recovery curve and well test interpretation curve of DST1a are shown in the figure. Figure 3 The DST1a well test interpretation results are shown in Table 2.

[0064] Table 2:

[0065] Unstable Oil Production Index 1.2stb / d / psi Detection radius Ri 1000ft Original pressure Pi 6604psia Formation coefficient KH 3200mD·ft Permeability K 63mD Skin factor S -0.46

[0066] (2) Perform well test interpretation on DST1a+1b and obtain the well test interpretation results of DST1a+1b.

[0067] The DST1a+1b test layer is zone5+zone6, and the test section is 3266-3272 / 3275-3281 / 3299-3323m. The test nozzle sizes used are 16 / 64', 20 / 64' and 24 / 64', and the test pressure differences are 173psi, 254psi and 243psi respectively. The test oil production rates are 2066bbl / d, 3171bbl / d and 4508bbl / d respectively.

[0068] The shut-in pressure recovery curve was selected for pressure fitting analysis, and the fixed well storage + homogeneous + parallel fault model was selected for well test interpretation. The DST1a+1b shut-in pressure recovery curve and well test interpretation curve are shown in the figure. Figure 4 The interpretation results of DST1a+1b well test are shown in Table 3.

[0069] Table 3:

[0070]

[0071] (3) Conduct well test interpretation on DST2 and obtain the well test interpretation results of DST2.

[0072] The DST2 test layer is zone 3, and the test section is 3127-3164m. The test nozzle sizes used are 16 / 64' and 20 / 64', the test pressure differences are 297psi and 489psi respectively, and the test oil production rates are 1976bbl / d and 3071bbl / d respectively.

[0073] The shut-in pressure recovery curve was selected for pressure fitting analysis, and the fixed well storage + homogeneous + parallel fault model was selected for well test interpretation. The DST2 shut-in pressure recovery curve and well test interpretation curve are shown in the figure. Figure 5 The DST2 well test interpretation results are shown in Table 4.

[0074] Table 4:

[0075]

[0076]

[0077] According to the above well test interpretation results, the well test interpretation KH values ​​of the DST1a test section, DST1a+1b test section and DST2 test section are 3200mD·ft, 24500mD·ft and 12400mD·ft, respectively. By converting the unit mD·ft to mD·m, the well test interpretation KH values ​​of the DST1a test section, DST1a+1b test section and DST2 test section are 975.36mD·m, 7467.6mD·m and 3779.52mD·m, respectively.

[0078] The calculation formula of the unstable oil production index of the test section is as follows:

[0079]

[0080] Among them, J o is the unstable oil production index of the test section, P R is the formation pressure, P wf is the bottom hole flowing pressure, and q0 is the test production.

[0081] The calculation model of the unstable oil production index is:

[0082] J o =a*KH 试井 +b (2)

[0083] Among them, KH 试井 is the KH value interpreted by the well test, and a and b are the linear regression coefficients.

[0084] S102: Determine a linear regression coefficient of a calculation model of the unstable oil production index according to the unstable oil production indexes of the multiple test sections and the well test interpretation KH values ​​of the multiple test sections.

[0085] Substitute the well test interpretation KH values ​​and the unstable oil production indexes of the DST1a test section, DST1a+1b test section and DST2 test section into formula (2) respectively, draw the fitting curves of the unstable oil production index and the well test interpretation KH values ​​of the DST1a test section, DST1a+1b test section and DST2 test section, and regress the linear regression coefficients a=0.0017 and b=0.2389. The calculation model of the unstable oil production index and the well test interpretation KH value is determined as follows:

[0086] J o =0.0017*KH 试井 +0.2389

[0087] The fitting relationship between the unstable oil production index and the KH value interpreted by the well test is as follows: Figure 6 shown.

[0088] S103: Calculate the well test interpretation KH value of the entire well section according to the well test interpretation KH values ​​of the multiple test sections, the well logging interpretation KH values ​​of the multiple test sections and the well logging interpretation KH value of the entire well section.

[0089] Calculating a correction coefficient according to the well test interpretation KH values ​​of the plurality of test sections and the well logging interpretation KH values ​​of the plurality of test sections;

[0090] The calculation formula of the correction coefficient is as follows:

[0091]

[0092] Where m is the correction factor, is the well test interpretation KH value of the ith test section, is the logging interpretation KH value of the ith test section.

[0093] In this example, the well test interpretation KH values ​​of 975.36mD·m and 7467.6mD·m of the DST1a test section and the DST2 test section, as well as the well logging interpretation KH values ​​of 2674mD·m and 12360mD·m of the DST1a test section and the DST2 test section are selected and substituted into formula (3) to obtain the correction coefficient. The specific results are shown in Table 5.

[0094] Table 5:

[0095]

[0096] The well testing interpretation KH value of the whole well section is calculated according to the correction coefficient and the well testing interpretation KH value of the whole well section.

[0097] The calculation formula of the well test interpretation KH value of the whole well section is as follows:

[0098]

[0099] Where m is the correction factor, is the well test interpretation KH value of the ith test section, is the logging interpretation KH value of the ith test section.

[0100] Substituting the logging interpretation KH value of the entire well section of the Z-2st well into formula (4), the logging interpretation KH value of the entire well section of the Z-2st well is obtained to be 72937 mD·m.

[0101] S104: Calculate the unstable oil production index of the entire well section according to the well test interpretation KH value of the entire well section and the calculation model of the unstable oil production index.

[0102] Substituting the logging interpretation KH value of the entire section of the Z-2st well, 72937 mD·m, into formula (2), the unstable oil production index of the entire section of the Z-2st well is obtained to be 124 b / d / psi.

[0103] S105: Correct the unstable oil production index of the entire well section to obtain a pseudo-steady-state oil production index of the entire well section.

[0104] The formula for correcting the unstable oil production index of the entire well section is as follows:

[0105] J′ o =J o *C1*C2 (5)

[0106] Among them, J′ is the pseudo-steady-state oil production index of the entire well section. According to actual production experience, C1 is the interlayer interference correction coefficient, and C2 is the unstable-pseudo-steady-state correction coefficient. According to the combined test results of the Z-2st well, the interlayer interference correction coefficient is calculated to be 0.63; if there is no combined test data, it can be taken between 0.6 and 0.8 according to the actual development experience of the oil field; referring to the actual production experience of the oil field, the unstable-pseudo-steady-state correction coefficient is between 0.4. and 0.6. In this embodiment, the unstable-pseudo-steady-state correction coefficient C2 is 0.5.

[0107] Substituting the unstable oil production index of the entire well section of Z-2st well, 124 b / d / psi, into formula (5), the pseudo-steady-state oil production index of the entire well section of Z-2st well is obtained to be 39 b / d / psi.

[0108] The present application provides a method for predicting the pseudo-steady-state oil production index of the entire well section. The method is based on the test data of some layers, combined with the logging interpretation and the well test interpretation, to obtain the logging interpretation KH value and the well test interpretation KH value of the test section; a regression relationship is established according to the relationship between the unstable oil production index of the test section and the well test interpretation KH value of the test section; the correction relationship between the two is determined according to the logging interpretation KH value and the well test interpretation KH value of the test section, and the well test interpretation KH value of the entire well section is determined based on the correction relationship and the logging interpretation KH value of the entire well section, and then the well test interpretation KH value is substituted into the regression relationship to calculate the unstable oil production index of the entire well section, and the two correction factors of interlayer interference and unstable-pseudo-stable conversion are considered at the same time to predict the pseudo-steady-state oil production index of the entire well section, which has strong practicality. The method solves the technical problem of calculating the pseudo-steady-state oil production index when the oil well is producing the entire well section in the future when the test data of the oil well is incomplete, only part of the layer section is tested, and long-term test production is not carried out. The method of the present invention has been applied in the evaluation practices of many projects such as the Gulf of Mexico project and the Kenya project. It has well solved the problems in actual work and accurately predicted the quasi-steady-state oil production index during production of the entire well section, providing effective support for the reasonable evaluation of oil well productivity and development concept design.

[0109] Corresponding to the above-mentioned embodiment, the present application also provides a device for predicting the pseudo-steady-state oil production index of the entire well section.

[0110] See also Figure 7 , is a structural block diagram of a full-well pseudo-steady-state oil production index prediction device provided in an embodiment of the present application. Figure 7 As shown, it mainly includes the following modules.

[0111] The parameter and calculation model acquisition module 701 acquires the unstable oil production index of multiple test sections, the well test interpretation KH values ​​of multiple test sections, the well logging interpretation KH values ​​of multiple test sections, the well logging interpretation KH values ​​of the entire well section, and the calculation model of the unstable oil production index;

[0112] A coefficient determination module 702, which determines a linear regression coefficient of a calculation model of an unstable oil production index according to the unstable oil production indexes of the plurality of test sections and the well test interpretation KH values ​​of the plurality of test sections;

[0113] The module 703 for calculating the well test interpretation KH value of the whole well section calculates the well test interpretation KH value of the whole well section according to the well test interpretation KH values ​​of the plurality of test sections, the well logging interpretation KH values ​​of the plurality of test sections and the well logging interpretation KH value of the whole well section;

[0114] The whole well section unstable oil production index calculation module 704 calculates the whole well section unstable oil production index according to the well test interpretation KH value of the whole well section and the calculation model of the unstable oil production index;

[0115] The whole well section pseudo-steady state oil production index calculation module 705 amends the whole well section unstable oil production index to obtain the whole well section pseudo-steady state oil production index.

[0116] It should be pointed out that the specific contents involved in the embodiments of the present application can be found in the description of the above method embodiments, and for the sake of brevity, they will not be repeated here.

[0117] Corresponding to the above embodiment, an embodiment of the present application further provides an electronic device.

[0118] See also Figure 8 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 8 As shown, the electronic device 800 may include: a processor 801, a memory 802 and a communication unit 803. These components communicate via one or more buses. Those skilled in the art will appreciate that the electronic device structure shown in the figure does not limit the embodiments of the present application. It may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange components differently.

[0119] The communication unit 803 is used to establish a communication channel so that the electronic device can communicate with other devices.

[0120] The processor 801 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. It runs or executes software programs and / or modules stored in the memory 802, and calls data stored in the memory to perform various functions of the electronic device and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 801 can include only a central processing unit (CPU). In the embodiment of the present application, the CPU can be a single computing core or multiple computing cores.

[0121] The memory 802 is used to store the execution instructions of the processor 801. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a 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.

[0122] When the execution instructions in the memory 802 are executed by the processor 801 , the electronic device 800 is enabled to execute part or all of the steps in the above method embodiment.

[0123] Corresponding to the above embodiment, the embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium may store a program, wherein when the program is running, the device where the computer-readable storage medium is located may be controlled to perform some or all of the steps in the above method embodiment. In a specific implementation, the computer-readable storage medium may be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0124] Corresponding to the above-mentioned embodiment, the embodiment of the present application further provides a computer program product, which includes executable instructions. When the executable instructions are executed on a computer, the computer executes some or all of the steps in the above-mentioned method embodiment.

[0125] In the embodiments of the present application, "at least one" refers to one or more, and "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0126] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0127] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0128] In several embodiments provided in the present application, any function can be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., and other media that can store program codes.

[0129] The above is only a specific implementation of the present application. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. The protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for predicting the quasi-steady-state oil production index of the entire well section, characterized in that: include: Obtain unstable oil production index of multiple test sections, well test interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of the entire well section and a calculation model for unstable oil production index; Determining a linear regression coefficient of a calculation model of the unstable oil production index according to the unstable oil production indexes of the multiple test sections and the well test interpretation KH values ​​of the multiple test sections; Calculating the well test interpretation KH value of the whole well section according to the well test interpretation KH values ​​of the plurality of test sections, the well logging interpretation KH values ​​of the plurality of test sections and the well logging interpretation KH value of the whole well section; Calculating the unstable oil production index of the entire well section according to the well test interpretation KH value of the entire well section and the calculation model of the unstable oil production index; The unstable oil production index of the entire well section is corrected to obtain a pseudo-steady-state oil production index of the entire well section.

2. The method according to claim 1, characterized in that The calculation formula of the unstable oil production index of the test section is as follows: Among them, J o is the unstable oil production index of the test section, P R is the formation pressure, P wf is the bottom hole flowing pressure, and q0 is the test production.

3. The method according to claim 1, characterized in that The calculation model of the unstable oil production index is: J o =a*KH 试井 +b (2) Among them, KH 试井 is the KH value interpreted by the well test, and a and b are the linear regression coefficients.

4. The method according to claim 1, characterized in that: The step of calculating the well test interpretation KH value of the entire well section according to the well test interpretation KH values ​​of the plurality of test sections, the well logging interpretation KH values ​​of the plurality of test sections and the well logging interpretation KH value of the entire well section comprises: Calculating a correction coefficient according to the well test interpretation KH values ​​of the plurality of test sections and the well logging interpretation KH values ​​of the plurality of test sections; The well testing interpretation KH value of the whole well section is calculated according to the correction coefficient and the well testing interpretation KH value of the whole well section.

5. The method according to claim 1, characterized in that: The calculation formula of the correction coefficient is as follows: Where m is the correction factor, is the well test interpretation KH value of the ith test section, is the logging interpretation KH value of the ith test section.

6. The method according to claim 5, characterized in that The calculation formula of the well test interpretation KH value of the whole well section is as follows: Where m is the correction factor, is the well test interpretation KH value of the ith test section, is the logging interpretation KH value of the ith test section.

7. The method according to claim 1, characterized in that The formula for correcting the unstable oil production index of the entire well section is as follows: J′ o =J o *C1*C2 (5) Among them, J′ o It is the quasi-steady-state oil production index of the entire well section. According to actual production experience, C1 is the interlayer interference correction coefficient, and C2 is the unstable-quasi-steady-state correction coefficient.

8. A device for predicting the quasi-steady-state oil production index of the entire well section, characterized in that: include: A parameter and calculation model acquisition module is used to acquire unstable oil production indexes of multiple test sections, well test interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of multiple test sections, well logging interpretation KH values ​​of the entire well section, and a calculation model of unstable oil production index; A coefficient determination module, which determines a linear regression coefficient of a calculation model of the unstable oil production index according to the unstable oil production indexes of the multiple test sections and the well test interpretation KH values ​​of the multiple test sections; A well test interpretation KH value calculation module for the entire well section, which calculates the well test interpretation KH value for the entire well section according to the well test interpretation KH values ​​for the multiple test sections, the well logging interpretation KH values ​​for the multiple test sections and the well logging interpretation KH value for the entire well section; A whole-well section unstable oil production index calculation module, which calculates the whole-well section unstable oil production index according to the well test interpretation KH value of the whole-well section and the calculation model of the unstable oil production index; The whole well section quasi-steady-state oil production index calculation module amends the whole well section unstable oil production index to obtain the whole well section quasi-steady-state oil production index.

9. An electronic device, characterized in that: include: processor; Memory; And a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, and when the instructions are executed by the processor, the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

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