Evaluation methods, devices, equipment, and media for the effective connectivity between oil reservoir injection and production wells.

Abstract

This invention provides a method for evaluating the effective connectivity between injection and production wells in an oil reservoir. The method includes: setting a physical property classification based on reservoir permeability; setting a physical property classification based on the utilization level between injection and production wells; establishing an interactive evaluation model for the effective connectivity of the reservoir based on the physical property classification and the physical property grading; and obtaining the parameters to be evaluated between the injection and production wells to be tested, and evaluating the parameters using the interactive evaluation model to obtain the evaluation result of the effective connectivity between the injection and production wells to be tested. This invention solves the problem that low-to-medium permeability reservoirs cannot be directly and accurately quantitatively evaluated using a single thickness factor calculation method for reservoir connectivity. It achieves accurate evaluation of the connectivity of reservoirs with strong horizontal and vertical heterogeneity, avoiding the need for verification through actual field adjustments due to inaccurate evaluations. This significantly reduces the production cost of a single well group and effectively improves production efficiency.

Description

Technical Field

[0001] This invention relates to the field of reservoir connectivity analysis in petroleum exploration, and particularly to a method, apparatus, equipment, and medium for evaluating the effective connectivity between injection and production wells in an oil reservoir. Background Technology

[0002] The evaluation of reservoir connectivity between injection and production wells is a core component of reservoir description and characterization. It directly determines the deployment of well networks and well spacing, development methods, and the selection of enhanced oil recovery technologies. It is crucial for optimizing the injection-production structure, understanding the distribution characteristics of remaining oil, and efficiently tapping potential. In oilfield development, the degree of connectivity between injection and production wells is the most important evaluation parameter reflecting the degree of reservoir control by the well network. It generally refers to the ratio of the thickness of the connected layer to the total oil thickness of the wells. Existing evaluation methods assess the reservoir based on this value. However, for reservoirs with continuous, stable development and relatively weak heterogeneity, the calculation results of the current inter-well connectivity generally reflect the actual situation well. But for reservoirs with strong horizontal and vertical heterogeneity, the calculation results deviate significantly from the actual geological conditions. Existing reservoir connectivity evaluation methods are no longer sufficient to meet the requirements for evaluating the connectivity of heterogeneous reservoirs.

[0003] Therefore, there is still a need to improve the existing methods for evaluating the connectivity of heterogeneous oil reservoirs. Summary of the Invention

[0004] In view of this, the present invention proposes an evaluation method for the effective connectivity between reservoir injection and production wells. By introducing physical property parameters, setting physical property classification and classification boundaries, an interactive evaluation model for the effective connectivity of the reservoir is established, thereby achieving an accurate evaluation of the reservoir connectivity.

[0005] The method for evaluating the effective connectivity between reservoir injection and production wells of the present invention includes the following steps:

[0006] Physical property classification is set based on reservoir permeability;

[0007] Physical property classification is set based on the degree of utilization between injection and production wells;

[0008] An interactive evaluation model for reservoir effective connectivity is established based on the aforementioned property classification and grading; and

[0009] The parameters to be evaluated between the injection and production wells to be tested are obtained, and the interactive evaluation model is used to evaluate the parameters to obtain the evaluation result of the effective connectivity between the injection and production wells to be tested.

[0010] In some embodiments, the reservoir permeability and / or the degree of mobilization between injection and production wells are obtained from well logging interpretation data of the injection and production wells.

[0011] In some embodiments, the well logging interpretation data information is the original well logging interpretation data and / or the secondary well logging interpretation data.

[0012] In some embodiments, the physical property classification is set as absolutely effective connectivity, effective connectivity, secondary effective connectivity, and ineffective connectivity based on the reservoir permeability.

[0013] In some embodiments, the reservoir permeability is set to Ki, and based on the magnitude of the reservoir permeability Ki, the physical property classification is set as follows: Ki > 400 is absolutely effective connectivity, 400 ≥ Ki > 150 is effective connectivity, 150 ≥ Ki > 100 is secondary effective connectivity, and Ki ≤ 100 is ineffective connectivity.

[0014] In some embodiments, the physical property classification is set as effective category I, effective category II, effective category III, and ineffective category based on the degree of utilization between the injection and production wells.

[0015] In some embodiments, setting the physical property classification based on the degree of utilization between injection and production wells includes: calculating the inter-injection and production well connectivity coefficient based on the degree of utilization between injection and production wells, and setting the physical property classification based on the inter-injection and production well connectivity coefficient.

[0016] In some embodiments, the inter-well connectivity coefficient is set to Si. Based on the magnitude of the inter-well connectivity coefficient Si, the physical property classification is set as follows: Si > 75 is effective category 1, 75 ≥ Si > 50 is effective category 2, 50 ≥ Si > 25 is effective category 3, and Si ≤ 25 is ineffective category.

[0017] In some embodiments, the method for calculating the utilization level between injection and production wells is as follows: Among them, E W The degree of utilization between injection and production wells is represented by h, the thickness of the produced fluid in the oil well, and H0, the total perforated thickness of the oil well.

[0018] In some embodiments, the method for calculating the inter-well connectivity coefficient is as follows: Where Si is the connectivity coefficient between the injection and production wells to be measured, and E W h0 represents the degree of utilization between the injection and production wells; h0 represents the total thickness of the oil layer connecting the oil and water wells; and H represents the total thickness of the oil layer in the oil well.

[0019] In some embodiments, the parameters to be evaluated include the reservoir permeability Ki between the injection and production wells to be tested and the connectivity coefficient Si between the injection and production wells to be tested.

[0020] In some embodiments, obtaining the parameters to be evaluated between the injection and production wells to be tested includes: obtaining the reservoir permeability Ki between the injection and production wells to be tested; obtaining the production thickness of the oil well, the total perforation thickness of the oil well, the total thickness of the oil layer connected to the oil and water wells, and the total thickness of the oil layer in the oil well; and calculating the connectivity coefficient Si between the injection and production wells to be tested based on the obtained production thickness of the oil well, the total perforation thickness of the oil well, the total thickness of the oil layer connected to the oil and water wells, and the total thickness of the oil layer in the oil well.

[0021] In some embodiments, the evaluation model is a quantitative evaluation model.

[0022] In some embodiments, the evaluation results of the interactive evaluation model are classified as Class A, Class B, Class C, and Class D.

[0023] In some embodiments, the Class A evaluation result requires the property classification to be absolutely effective connectivity and the property classification to be effective Class I.

[0024] The evaluation results for Category B require that the physical property classification be effective connectivity, the physical property classification be effective Category I and / or effective Category II, and the physical property classification be absolutely effective connectivity and / or effective connectivity, and the physical property classification be effective Category II.

[0025] The evaluation results for Category C require that the property classification be secondary effective connectivity, the property classification be non-ineffective, and the property classification be non-ineffective connectivity and effective connectivity.

[0026] The evaluation results for Category D require that the physical property classification be invalid connectivity and / or the physical property classification be invalid.

[0027] Another aspect of the present invention provides an evaluation device for the effective connectivity between reservoir injection and production wells, the device comprising:

[0028] The model building module is configured to: establish an interactive evaluation model for the effective connectivity of reservoirs based on reservoir permeability and the degree of mobilization between injection and production wells; and

[0029] The evaluation module is configured to obtain reservoir permeability and the degree of mobilization between injection and production wells, and to obtain the evaluation result of the effective connectivity between the injection and production wells to be tested using the interactive evaluation model.

[0030] In some embodiments, the model building module further includes a grading submodule, a classification submodule, and a modeling submodule. The grading submodule is configured to set a physical property grading based on the reservoir permeability. The classification submodule is configured to set a physical property classification based on the degree of mobilization between injection and production wells. The modeling submodule is configured to establish an interactive evaluation model of the effective connectivity between injection and production wells based on the physical property grading and the physical property classification.

[0031] In some embodiments, the evaluation module includes: a data acquisition submodule, a calculation submodule, an input submodule, and an output submodule. The data acquisition submodule is configured to acquire well logging interpretation data information. The calculation submodule is configured to calculate the reservoir permeability and the inter-well connectivity coefficient based on the well logging interpretation data information. The input submodule is configured to input the reservoir permeability and the inter-well connectivity coefficient. The output submodule is configured to output the evaluation result of the effective connectivity between the injection and production wells.

[0032] Another aspect of the present invention provides a computer device, characterized in that it comprises:

[0033] At least one processor; and

[0034] A memory storing computer instructions that can be executed on the processor, which, when executed by the processor, implement the steps of the method described above.

[0035] In another aspect, the present invention provides a computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the above-described method.

[0036] By adopting the above technical solution, the present invention has at least the following beneficial effects:

[0037] This invention targets low-to-medium permeability reservoirs where water injection is the primary extraction method. By introducing physical property parameters and setting different property classifications, and based on the reservoir's block characteristics and geological features, it establishes an interactive evaluation model for effective connectivity, quantitatively describing the reservoir's effective connectivity. The results are then compared with actual well group connectivity evaluation results for a comprehensive assessment of reservoir effective connectivity, thereby evaluating the overall reservoir connectivity across the entire area. This invention solves the problem that low-to-medium permeability reservoirs cannot be directly and accurately quantitatively evaluated using methods that rely solely on thickness factors. It achieves accurate evaluation of connectivity in reservoirs with strong horizontal and vertical heterogeneity, avoiding the need for on-site adjustments due to inaccurate evaluations. This significantly reduces the extraction cost of a single well group and effectively improves extraction efficiency. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1A flowchart illustrating the method for evaluating the effective connectivity between reservoir injection and production wells provided in this embodiment of the invention;

[0040] Figure 2 A quantitative judgment diagram of the effective connectivity interaction evaluation model provided in this embodiment of the invention;

[0041] Figure 3 According to Figure 2 The provided quantitative judgment results diagram of the effective connectivity interaction evaluation model;

[0042] Figure 4 This is a matrix table of inter-well connectivity coefficients provided in an embodiment of the present invention;

[0043] Figure 5 This is a quantitative description matrix table of the effective connectivity between injection and production wells provided in the embodiments of the present invention;

[0044] Figure 6 This is a schematic diagram of an evaluation device for the effective connectivity between injection and production wells provided in an embodiment of the present invention. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to specific examples and the accompanying drawings.

[0046] It should be noted that the specific structure, features, and advantages of the present invention will be illustrated by way of examples below. However, all descriptions are for illustrative purposes only and should not be construed as limiting the present invention in any way. Furthermore, any single technical feature described or implied in the embodiments mentioned herein, or any single technical feature shown or implied in the accompanying drawings, can still be arbitrarily combined or deleted among these technical features (or their equivalents) to obtain more other embodiments of the present invention that may not be directly mentioned herein.

[0047] For heterogeneous reservoirs, permeability values ​​can reflect the degree of heterogeneity. For example, permeability gradients within a reservoir development unit indicate the distribution range and degree of difference in permeability. A larger permeability gradient indicates stronger heterogeneity, while a smaller gradient, closer to 1, indicates weaker heterogeneity. Another example is the coefficient of variation (COP), which is the ratio of the standard deviation of permeability to the average permeability within a reservoir development unit. Its value ranges from 0 to 1, with a COP less than 0.5 indicating weak heterogeneity, between 0.5 and 0.7 indicating moderate heterogeneity, and greater than 0.7 indicating strong heterogeneity. Furthermore, for the same reservoir, permeability can be further correlated with the degree of exploitation; areas with high permeability tend to have higher exploitation rates, while areas with low permeability tend to have lower exploitation rates.

[0048] To address the uneven utilization of highly heterogeneous reservoirs in terms of horizontal and vertical mobility during development, particularly in areas with greater permeability differences, traditional connectivity evaluation methods, which only consider the thickness of the connection between oil and water wells, often produce inaccurate results and "pseudo-connectivity" phenomena, leading to unreasonable development and significantly impacting development effectiveness. Therefore, this invention introduces physical property parameters—permeability and utilization—into the evaluation model. By combining permeability with utilization to cross-constrain effective connectivity, the accuracy of evaluating the connectivity between injection and production wells in highly heterogeneous reservoirs is significantly improved.

[0049] like Figure 1 The diagram shows a flowchart of a method for evaluating the effective connectivity between reservoir injection and production wells according to an embodiment of the present invention. The method includes the following steps:

[0050] S1. Set up physical property classification based on reservoir permeability;

[0051] S2. Set up physical property classification based on the degree of utilization between injection and production wells;

[0052] S3. Establish an interactive evaluation model for the effective connectivity of reservoirs based on the aforementioned property classification and property grading; and

[0053] S4. Obtain the parameters to be evaluated for the block to be tested, and use the interactive evaluation model to evaluate the parameters to obtain the evaluation result of the effective connectivity between the injection and production wells to be tested.

[0054] The physical property parameters used in this embodiment of the invention can be conventional physical property parameters or specially calibrated physical property parameters. Similarly, these physical property parameters can also be obtained from well logging interpretation data of injection and production wells in known oilfield blocks. The well logging interpretation data of injection and production wells can be original well logging interpretation data or secondary well logging interpretation data. Based on the obtained physical property parameters and well logging interpretation data, the reservoir permeability and the degree of activation between injection and production wells are obtained.

[0055] S1 establishes a physical property classification based on reservoir permeability. Specifically, based on the known block characteristics of the oilfield and the variation in permeability, the physical property classification is set as absolutely effective connectivity, effective connectivity, secondary effective connectivity, and ineffective connectivity. Permeability is specifically obtained through reservoir geological modeling, using a permeability geological model and reading the average permeability value based on the model location of the development layer in the injection-production well group. Further, reservoir permeability is set as Ki, and the physical property classification boundaries are set as amd, bmd, and cmd, respectively. These boundaries are quantitatively described using well logging interpretation data from known oilfield blocks; for example, amd is set to 400, bmd to 150, and cmd to 100. The quantitative description of the physical property classification based on reservoir permeability is as follows: when Ki > 400, it is absolutely effective connectivity; when 400 ≥ Ki > 150, it is effective connectivity; when 150 ≥ Ki > 100, it is secondary effective connectivity; and when Ki ≤ 100, it is ineffective connectivity. Those skilled in the art should understand that the boundary values ​​given above are merely exemplary, and the setting of the boundaries can be optimized based on the block characteristics of different oil fields. Other reasonable grading boundaries should also fall within the protection scope of this invention.

[0056] S2 sets up a physical property classification based on the degree of mobilization between injection and production wells. Specifically, it calculates the degree of mobilization between injection and production wells in a well group using a formula for calculating the degree of mobilization between injection and production wells. The formula is as follows:

[0057]

[0058] Among them, E W Here, h represents the production fluid thickness of the oil well, and H0 represents the total perforated thickness of the oil well. Based on the known block characteristics of the oilfield and the changes in the well group's utilization level, physical properties are classified into four categories: Effective Category I, Effective Category II, Effective Category III, and Ineffective Category. Further, the inter-well connectivity coefficient Si is calculated based on the utilization level between injection and production wells. The physical property classification boundaries are set as aLT, bLT, and cLT, respectively. These boundaries are then quantitatively described by matching the utilization level and connectivity coefficient of known oilfield blocks. For example, aLT is set to 75, bLT to 50, and cLT to 25. This means that based on the inter-well connectivity coefficient, the physical property classification is as follows: Effective Category I when Si > 75, Effective Category II when 75 ≥ Si > 50, Effective Category III when 50 ≥ Si > 25, and Ineffective Category when Si ≤ 25. Those skilled in the art should understand that the above-mentioned boundary values ​​are merely exemplary. The boundary settings can be optimized based on the block characteristics of different oilfields, and other reasonable classification boundaries should also fall within the scope of protection of this invention.

[0059] S3 establishes an interactive evaluation model for the effective connectivity of reservoirs based on the aforementioned property grading and classification. Specifically, as follows: Figure 2The diagram shown is a quantitative judgment diagram of the effective connectivity interaction evaluation model, which includes interaction methods such as absolutely effective connectivity with effective type I interaction, effective connectivity with effective type II interaction, secondary effective connectivity with effective type III interaction, and ineffective connectivity with ineffective type interaction.

[0060] like Figure 3 According to Figure 2 The provided quantitative judgment result diagram of the effective connectivity degree interactive evaluation model categorizes effective connectivity degree into four classes: A, B, C, and D. Class A requires a property classification of absolutely effective connectivity and a property classification of effective class I. Class B requires a property classification of effective connectivity and a property classification of effective class I and / or effective class II, or a property classification of absolutely effective connectivity and / or effective connectivity and a property classification of effective class II. Class C requires a property classification of secondary effective connectivity and a property classification of non-ineffective class, or a property classification of non-ineffective connectivity and a property classification of effective class III. Class D requires a property classification of ineffective connectivity and / or a property classification of ineffective class. The specific quantitative judgment method is shown in the figure. For example, when Ki > amd and Si > aLT, the effective connectivity degree evaluation result is Class A.

[0061] S4 acquires the evaluation parameters of the test block and evaluates these parameters using the interactive evaluation model to obtain the evaluation result of the effective connectivity between the injection and production wells. The evaluation parameters include the permeability Ki of the test block and the connectivity coefficient Si between the injection and production wells. The effective connectivity between the injection and production wells is evaluated using the interactive evaluation model. Specifically, the reservoir permeability Ki between the injection and production wells is acquired; the oil well production thickness, total perforation thickness, total thickness of the oil layer connected to the oil-water wells, and total thickness of the oil layer in the oil wells are acquired; the utilization degree E between the injection and production wells is calculated based on the acquired oil well production thickness and total perforation thickness. w Based on the total thickness of the oil layer connecting oil and water wells, the total thickness of the oil layer in the oil wells, and the degree of mobilization between injection and production wells (E) w The specific formula for calculating the inter-well connectivity coefficient Si is as follows:

[0062]

[0063]

[0064] Among them, E W denoted by Ki and Si, the effective connectivity degree is evaluated using the interactive evaluation model. h0 represents the total thickness of the oil layer connecting the oil and water wells, and H represents the total thickness of the oil layer in the oil well. The specific values ​​of Ki and Si are substituted into the effective connectivity degree evaluation model to assess the effective connectivity degree between injection and production wells.

[0065] The following are specific embodiments of using the evaluation method of the present invention to evaluate the degree of effective connectivity.

[0066] Example 1

[0067] This invention selects a medium-low permeability reservoir with strong heterogeneity and uses the interactive evaluation model of this invention to evaluate the effective connectivity of the reservoir in this block. The evaluation method is as described in steps S1-S4 above. The property classification limits in the model are: amd is set to 400, bmd is set to 150, and cmd is set to 100. When Ki > 400, it is absolutely effective connectivity; when 400 ≥ Ki > 150, it is effective connectivity; when 150 ≥ Ki > 100, it is secondary effective connectivity; and when Ki ≤ 100, it is ineffective connectivity. The property classification limits are: aLT is set to 75, bLT is set to 50, and cLT is set to 25. When Si > 75, it is effective Class I; when 75 ≥ Si > 50, it is effective Class II; when 50 ≥ Si > 25, it is effective Class III; and when Si ≤ 25, it is ineffective.

[0068] like Figure 4 This is a matrix table of the inter-well connectivity coefficients for this block. The inter-well connectivity coefficients are evaluated in two dimensions: physical property classification and physical property grading. For physical property grading, the inter-well connectivity coefficient is represented by the permeability of the well to be tested, and is set as Ki, which is obtained through well logging interpretation data. For physical property grading, the inter-well connectivity coefficient Si is used. The specific calculation method is as described above.

[0069] Figure 4 In the first injection well 1 and the first production well 2, Ki = 717 and Si = 75.3. According to the effective connectivity evaluation model provided by this invention, Ki > 400 (amd) and Si > 75 (aLT), therefore the evaluation result is Class A. Between the first injection well 1 and the second production well 3, Ki = 642 and Si = 67.0. According to the effective connectivity evaluation model provided by this invention, Ki > 400 (amd) and 75 (aLT) ≥ Si > 50 (bLT), therefore the evaluation result is Class B. The effective connectivity judgment between other injection and production wells is the same. The final evaluation result is as follows. Figure 5 As shown, well groups with an effective connectivity evaluation result of A indicate good effective connectivity, a reasonable injection-production well group design, and suitability for subsequent chemical flooding and other development methods; well groups with an effective connectivity evaluation result of B indicate relatively good effective connectivity, a reasonably reasonable injection-production well group design, and suitability for subsequent chemical flooding and other development methods; well groups with an effective connectivity evaluation result of C indicate average effective connectivity, a generally reasonable injection-production well group design, and are not recommended for subsequent chemical flooding and other development methods; well groups with an effective connectivity evaluation result of D indicate poor effective connectivity, an unreasonable injection-production well group design, and are not suitable for subsequent chemical flooding or conversion to other development methods, requiring adjustment of the well group or the injection-production well group combination in the area.

[0070] Example 2

[0071] In this embodiment of the invention, well group 22 of the chemical flooding test area of ​​Jing'anbao Oilfield was selected. The average permeability of the target layer in this chemical flooding test area is 206.7 millidarcy, the permeability range is 150-200, and the permeability variation coefficient is 1.1-1.4. It belongs to a typical medium-low permeability reservoir with strong heterogeneity. According to the design scheme, the test area is divided into a pilot test area of ​​5 well groups and a subsequent adjustment area of ​​17 well groups. This embodiment of the invention evaluates the effective connectivity of the same test area by comparing the traditional method and the method proposed in this invention.

[0072] For the initial planning of well group 5 in the pilot test area using traditional evaluation methods, the results showed that the connectivity of injection and production wells was generally above 80%. However, in the actual development process, the phased effect did not reach the expected design indicators, with low production phenomena such as water injection wells not being able to inject water and production wells producing less than 5 cubic meters of fluid per day.

[0073] The proposed effective connectivity evaluation method for well group 5 in the pilot test area was further applied to the well group planning based on this invention. The method showed a high degree of matching in actual production, with a maximum daily oil production of 33 tons. Subsequently, 17 well groups were re-planned and adjusted based on this method, increasing daily oil production from 80 tons to a maximum of 220 tons. Therefore, the production results demonstrate that the effective connectivity evaluated using the method of this invention highly matches the actual situation, effectively improving production efficiency. This invention solves the problem that low-to-medium permeability reservoirs cannot be directly and accurately quantitatively evaluated using reservoir connectivity calculation methods based solely on thickness factors. It achieves accurate evaluation of connectivity in reservoirs with strong horizontal and vertical heterogeneity, avoiding the need for on-site adjustments due to inaccurate evaluations. This significantly reduces the production cost of a single well group and effectively improves production efficiency.

[0074] Based on the above objectives, a second aspect of the present invention proposes an evaluation device for the effective connectivity between reservoir injection and production wells. Figure 6 The diagram shown is a schematic representation of an embodiment of the evaluation device provided by the present invention. The evaluation device includes the following modules: a model building module 010, configured to establish an interactive evaluation model of the effective connectivity of the reservoir based on reservoir permeability and the degree of mobilization between injection and production wells; and an evaluation module 020, configured to obtain reservoir permeability and the degree of mobilization between injection and production wells, and to obtain the evaluation result of the effective connectivity between the injection and production wells to be tested using the interactive evaluation model.

[0075] The model building module 010 further includes a grading submodule 011, a classification submodule 012, and a modeling submodule 013. The grading submodule 011 is configured to set physical property grading based on reservoir permeability, the classification submodule 012 is configured to set physical property classification based on the degree of mobilization between injection and production wells, and the modeling submodule 013 is configured to establish an interactive evaluation model of the effective connectivity between injection and production wells based on physical property grading and classification.

[0076] The evaluation module 020 includes: a data acquisition submodule 021, a calculation submodule 022, an input submodule 023, and an output submodule 024. The data acquisition submodule 021 is configured to acquire well logging interpretation data information. The calculation submodule 022 is configured to calculate reservoir permeability and inter-well connectivity coefficient based on the well logging interpretation data information. The input submodule 023 is configured to input reservoir permeability and inter-well connectivity coefficient. The output submodule 024 is configured to output the evaluation results of the effective connectivity between the injection and production wells.

[0077] In view of the above objectives, a third aspect of the present invention provides a computer device. The computer device of the present invention includes: at least one processor; and a memory storing computer instructions executable on the processor, which, when executed by the processor, implement the steps of the above method.

[0078] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the methods described above.

[0079] Finally, it should be noted that those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program for evaluating the effective connectivity between reservoir injection and production can be stored in a computer-readable storage medium. When executed, the program can include the processes of the embodiments of the above methods. The storage medium for the program can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc. The above computer program embodiments can achieve the same or similar effects as any of the corresponding foregoing method embodiments.

[0080] Furthermore, the method disclosed in the embodiments of the present invention can also be implemented as a computer program executed by a processor, which may be stored in a computer-readable storage medium. When the computer program is executed by the processor, it performs the functions defined in the method disclosed in the embodiments of the present invention.

[0081] Furthermore, the above-described method steps and system units can also be implemented using a controller and a computer-readable storage medium for storing a computer program that enables the controller to perform the functions of the above-described steps or units.

[0082] The above are exemplary embodiments disclosed in this invention. However, it should be noted that various changes and modifications can be made without departing from the scope of the embodiments of this invention as defined by the claims. The functions, steps, and / or actions of the methods according to the disclosed embodiments described herein do not need to be performed in any particular order. Furthermore, although the elements disclosed in the embodiments of this invention may be described or claimed individually, they may be understood as multiple unless explicitly limited to a singular number.

[0083] It should be understood that, as used herein, the singular form “a” is intended to include the plural form as well, unless the context clearly supports an exception. It should also be understood that, as used herein, “and / or” refers to any and all possible combinations of one or more of the associated listed items.

[0084] The embodiment numbers disclosed in the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0085] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0086] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention (including the claims) is limited to these examples. Within the framework of the invention, technical features of the above embodiments or different embodiments can be combined, and many other variations of different aspects of the invention exist, which are not provided in the details for the sake of brevity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the invention should be included within the protection scope of the invention.

Claims

1. A method for evaluating the effective connectivity between injection and production wells in an oil reservoir, characterized in that, The method includes: Physical property classification is set based on reservoir permeability; Physical property classification is set based on the degree of utilization between injection and production wells; An interactive evaluation model for reservoir effective connectivity is established based on the aforementioned property classification and grading; and The parameters to be evaluated between the injection and production wells to be tested are obtained, and the interactive evaluation model is used to evaluate the parameters to obtain the evaluation result of the effective connectivity between the injection and production wells to be tested. The physical property classification is set as absolutely effective connectivity, effective connectivity, secondary effective connectivity, and ineffective connectivity based on the reservoir permeability. The reservoir permeability is set as Ki. Based on the magnitude of the reservoir permeability Ki, the physical property classification is set as follows: Ki > 400 is absolutely effective connectivity, 400 ≥ Ki > 150 is effective connectivity, 150 ≥ Ki > 100 is secondary effective connectivity, and Ki ≤ 100 is ineffective connectivity. The method for calculating the degree of utilization between injection and production wells is as follows: ， where E W is the interwell producing degree, h is the liquid production thickness of the oil well, and H0 is the total shot open thickness of the oil well. Setting the physical property classification based on the degree of utilization between injection and production wells includes: calculating the inter-well connectivity coefficient based on the degree of utilization between injection and production wells, and setting the physical property classification based on the inter-well connectivity coefficient; The method for calculating the inter-well connectivity coefficient is as follows: ， Wherein, Si is the connection coefficient between the injection and production wells, E W is the producing degree between injection and production wells; h0 is the total thickness of the connected oil layers of oil and water wells; H is the total thickness of the oil layers of oil wells.

2. The method for evaluating the effective connectivity between reservoir injection and production wells according to claim 1, characterized in that, The reservoir permeability and / or the degree of mobilization between injection and production wells are obtained from well logging interpretation data of the injection and production wells.

3. The method for evaluating the effective connectivity between reservoir injection and production wells according to claim 2, characterized in that, The well logging interpretation data information includes the original well logging interpretation data and / or the secondary well logging interpretation data.

4. The method for evaluating the effective connectivity between reservoir injection and production wells according to claim 1, characterized in that, Based on the degree of utilization between the injection and production wells, the physical property classification is set as effective category I, effective category II, effective category III, and ineffective category.

5. The method for evaluating the effective connectivity between reservoir injection and production wells according to claim 1, characterized in that, The inter-well connectivity coefficient is set as Si. Based on the value of the inter-well connectivity coefficient Si, the physical property classification is set as follows: Si > 75 is effective category 1, 75 ≥ Si > 50 is effective category 2, 50 ≥ Si > 25 is effective category 3, and Si ≤ 25 is ineffective category.

6. The method for evaluating the effective connectivity between reservoir injection and production wells according to claim 1, characterized in that, The parameters to be evaluated include the reservoir permeability Ki between the injection and production wells to be tested, and the connectivity coefficient Si between the injection and production wells to be tested.

7. The method for evaluating the effective connectivity between reservoir injection and production wells according to claim 6, characterized in that, The parameters to be evaluated between the injection and production wells to be tested include: obtaining the reservoir permeability Ki between the injection and production wells to be tested; obtaining the production thickness of the oil well, the total perforation thickness of the oil well, the total thickness of the oil layer connected to the oil and water wells, and the total thickness of the oil layer in the oil well; and calculating the connectivity coefficient Si between the injection and production wells to be tested based on the obtained production thickness of the oil well, the total perforation thickness of the oil well, the total thickness of the oil layer connected to the oil and water wells, and the total thickness of the oil layer in the oil wells.

8. The method for evaluating the effective connectivity between reservoir injection and production wells according to claim 1, characterized in that, The evaluation model is a quantitative evaluation model.

9. The method for evaluating the effective connectivity between reservoir injection and production wells as described in any of the preceding claims, characterized in that, The evaluation results of the interactive evaluation model are categorized into Class A, Class B, Class C, and Class D.

10. The method for evaluating the effective connectivity between reservoir injection and production wells according to claim 9, characterized in that, The Class A evaluation results require that the physical property classification be absolutely effective connectivity and the physical property classification be effective Class I. The evaluation results for Category B require that the physical property classification be effective connectivity, the physical property classification be effective Category I and / or effective Category II, and the physical property classification be absolutely effective connectivity and / or effective connectivity, and the physical property classification be effective Category II. The evaluation results for Category C require that the property classification be secondary effective connectivity, the property classification be non-ineffective, and the property classification be non-ineffective connectivity and effective connectivity. The evaluation results for Category D require that the physical property classification be invalid connectivity and / or the physical property classification be invalid.

11. An evaluation device for the effective connectivity between oil reservoir injection and production wells, used to implement the method described in any one of claims 1 to 10, characterized in that, include: The model building module is configured to: establish an interactive evaluation model for the effective connectivity of reservoirs based on reservoir permeability and the degree of utilization between injection and production wells; as well as The evaluation module is configured to obtain reservoir permeability and the degree of utilization between injection and production wells, and to obtain the evaluation results of the effective connectivity between the injection and production wells to be tested using the interactive evaluation model. The physical property classification is set as absolutely effective connectivity, effective connectivity, secondary effective connectivity, and ineffective connectivity based on the reservoir permeability. The reservoir permeability is set as Ki. Based on the magnitude of the reservoir permeability Ki, the physical property classification is set as follows: Ki > 400 is absolutely effective connectivity, 400 ≥ Ki > 150 is effective connectivity, 150 ≥ Ki > 100 is secondary effective connectivity, and Ki ≤ 100 is ineffective connectivity. The method for calculating the degree of utilization between injection and production wells is as follows: ， Among them, E W The degree of utilization between injection and production wells is represented by h, the thickness of the produced fluid in the oil well, and H0, the total perforated thickness of the oil well. Setting the physical property classification based on the degree of utilization between injection and production wells includes: calculating the inter-well connectivity coefficient based on the degree of utilization between injection and production wells, and setting the physical property classification based on the inter-well connectivity coefficient; The method for calculating the inter-well connectivity coefficient is as follows: ， Where Si is the connectivity coefficient between the injection and production wells to be measured, and E W h0 represents the degree of utilization between injection and production wells; h0 represents the total thickness of the oil layer connecting oil and water wells; H represents the total thickness of the oil layer in the oil well.

12. The evaluation device for the effective connectivity between reservoir injection and production wells according to claim 11, characterized in that, The model building module further includes a grading submodule, a classification submodule, and a modeling submodule. The grading submodule is configured to set physical property grading based on the reservoir permeability. The classification submodule is configured to set physical property classification based on the degree of mobilization between injection and production wells. The modeling submodule is configured to establish an interactive evaluation model of the effective connectivity between injection and production wells based on the physical property grading and the physical property classification.

13. The evaluation device for the effective connectivity between reservoir injection and production wells according to claim 11, characterized in that, The evaluation module includes a data acquisition submodule, a calculation submodule, an input submodule, and an output submodule. The data acquisition submodule is configured to acquire well logging interpretation data information. The calculation submodule is configured to calculate the reservoir permeability and the inter-injection well connectivity coefficient based on the well logging interpretation data information. The input submodule is configured to input the reservoir permeability and the inter-injection well connectivity coefficient. The output submodule is configured to output the evaluation result of the effective connectivity between the injection and production wells.

14. A computer device, characterized in that, include: At least one processor; as well as A memory storing computer instructions executable on the processor, which, when executed by the processor, implement the steps of the method according to any one of claims 1-10.

15. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1-10.

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