Residual oil quantitative evaluation method and device, medium and computing equipment

Abstract

The invention discloses a residual oil quantitative evaluation method and device, a medium and computing equipment. The method comprises the steps that a ship bottom type remaining oil distribution mode of the homogeneous thin layer bottom water reservoir is determined; obtaining the strong water flooding radius under various bottom water thicknesses in the double-high development stage; obtaining quantitative expressions of remaining oil enrichment areas under various bottom water thicknesses; and obtaining the weak water flooding thickness H of each position of the oil reservoir. The residual oil quantitative evaluation method comprises the following steps: establishing a standard model under different bottom water thicknesses by acquiring strong water flooding radiuses under various bottom water thicknesses in a double-high development stage, and determining a classified bottom water reservoir mixed source displacement mode; aiming at the difficulty in shaping and quantitative description of'ship bottom type 'residual oil, positioning of a potential enrichment area is carried out based on water logging interpretation of a passing well, and rapid quantitative expression of the residual potential area is realized by acquiring quantitative expressions of the residual oil enrichment area under various bottom water thicknesses, so that a reliable basis is provided for accurate potential tapping of residual oil in a double-high stage; and the process is simple and efficient.

Description

Technical Field

[0001] This invention relates to the field of reservoir development technology, and in particular to a method, apparatus, medium and computing equipment for quantitative evaluation of remaining oil. Background Technology

[0002] Most onshore oilfields in my country are developed using conventional water injection methods, and many oilfields have entered the high-yield and high-potential development stage. Quantitatively characterizing the remaining reservoir potential is a major challenge for stabilizing production in these high-yield and high-potential oilfields. Currently, numerical simulation methods are used to quantitatively characterize the remaining oil.

[0003] In the prior art, the method for quantitative characterization of intra-layer residual oil occurrence patterns disclosed in CN112796748A utilizes reservoir numerical simulation to divide the target layer into a grid model, calculates the oil saturation field in the later stage of water-drive development of the reservoir, determines the target layer, and reads the coordinates and related parameters of each grid in the model. Starting from the bottom of the target layer, it calculates the cumulative residual reserve abundance and ideal residual reserve abundance from the bottom grid to the current grid, grid by grid, and plots the improved Lorenz curve of vertical residual oil at key points in the plane. It calculates the vertical oil saturation heterogeneity coefficient at each point in the plane, plots the vertical oil saturation heterogeneity coefficient map of the target layer and the plane residual movable reserve abundance map of the target layer, classifies the residual oil distribution of the target layer into four patterns, formulates potential tapping strategies, and guides the potential tapping of the oilfield. It can quantitatively describe the distribution state of vertical residual oil within the layer, providing an important basis for subsequent potential tapping of the oilfield, and solves the technical problem of quantitative evaluation and spatial description of intra-layer residual oil distribution.

[0004] However, the above-mentioned methods provide a complex process for characterizing remaining oil, with high data requirements. Insufficient data may prevent the rapid quantitative expression of the remaining potential area of ​​the entire reservoir. Furthermore, the process is cumbersome, time-consuming, and labor-intensive. Summary of the Invention

[0005] The main objective of this invention is to provide a method, apparatus, medium, and computing device for quantitative evaluation of residual oil, so as to solve the technical problems of complex process, high data requirements and cumbersome process in the existing residual oil characterization technology.

[0006] To achieve the above objectives, the present invention provides a method for quantitative evaluation of remaining oil, the method comprising: S10, determining the "bottom-type" remaining oil distribution pattern of homogeneous thin-layer bottom water reservoirs; S20, obtaining the strong waterflood radius under various bottom water thicknesses in the high-dual-high development stage; S30, obtaining the quantitative expression of the remaining oil enrichment zone under various bottom water thicknesses; S40, obtaining the weak waterflood thickness H at various locations in the reservoir.

[0007] Optionally, in step S10, step S20 includes the following steps: S210, obtaining the strong water flooding radius under various bottom water thicknesses in the dual-high development stage based on the interpretation results of the cross-layer well; S220, when the bottom water thickness (HW) between injection and production wells in the bottom water reservoir is >3m, the strong water flooding radius is: distance from the water well ≤130m, distance from the production well <40m; S230, when the bottom water thickness (HW) between injection and production wells in the bottom water reservoir is ≤3m, the strong water flooding radius is: distance from the water well ≤200m, distance from the production well <40m.

[0008] Optionally, step S30 includes the following steps: S310, obtaining a quantitative expression for the remaining oil enrichment zone under various bottom water thicknesses based on the interpretation results of the cross-layer wells; S320, when the bottom water thickness (HW) between injection and production wells in the bottom water reservoir is >3m, the expression for the remaining oil enrichment zone outside the strong water flooding radius is as follows: y=-0.0181x2+7.4021x-677.03 (1) S330, when the bottom water thickness (HW) between injection and production wells in a bottom water reservoir is ≤3m, the expression for the remaining oil enrichment zone outside the strong water flooding radius is as follows: y=-0.029x2+13.361x-1500.7 (2) Where x is the distance from the injection well, in meters; y is the degree of remaining oil enrichment, in meters.

[0009] Optionally, step S40 includes the following steps: S410, based on the following quantitative expression, obtaining the weak water flooding thickness H at each location in the reservoir, thereby achieving a rapid quantitative expression of the remaining potential area of ​​the entire reservoir: H = Ho * y (3) Where H is the thickness of the weakly flooded layer, in meters; Ho is the original oil layer thickness, in meters; and y is the degree of remaining oil enrichment, in meters.

[0010] Furthermore, to achieve the above objectives, this application embodiment also provides a quantitative evaluation device for residual oil, the device comprising: a pattern determination module for determining the "bottom-type" residual oil distribution pattern of a homogeneous thin-layer bottom-water reservoir; a first acquisition module for acquiring the strong waterflood radius under various bottom-water thicknesses during the high-density development stage; a second acquisition module for acquiring the quantitative expression of the residual oil enrichment zone under various bottom-water thicknesses; and a third acquisition module for acquiring the weak waterflood thickness H at various locations in the reservoir.

[0011] In addition, to achieve the above objectives, embodiments of this application also provide a computer-readable storage medium including instructions that, when executed on a computer, cause the computer to perform the quantitative evaluation method for residual oil described in any embodiment of this application.

[0012] Furthermore, to achieve the above objectives, embodiments of this application also provide a computing device, which includes at least one processor, a memory, and an input / output unit; wherein the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the residual oil quantitative evaluation method described in any embodiment of this application.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: The quantitative evaluation method for remaining oil provided in this application obtains the strong water flooding radius under various bottom water thicknesses during the high-yield and high-pressure development stage, establishes a standard model under different bottom water thicknesses, and determines the mixed-source displacement mode of the classified bottom water reservoir. Addressing the challenge of defining and quantifying the remaining oil in "bottom-shaped" reservoirs, the method locates potential enrichment areas based on the interpretation of water flooding at through-wells. By obtaining quantitative expressions for remaining oil enrichment areas under various bottom water thicknesses, it achieves a rapid quantitative expression of remaining potential areas, providing a reliable basis for the accurate tapping of remaining oil potential during the high-yield and high-pressure development stage. Furthermore, this process is simple and efficient. Attached Figure Description

[0014] Figure 1 A flowchart of the method for quantitative evaluation of residual oil provided in the embodiments of this application; Figure 2 This is a structural block diagram of the residual oil quantitative evaluation device provided in the embodiments of this application; Figure 3 This is a schematic diagram of the structure of the medium provided in the embodiments of this application; Figure 4 A schematic diagram of the structure of a computing device provided in an embodiment of this application.

[0015] Explanation of reference numerals in the attached figures: In the figure, 200 is the residual oil quantitative evaluation device; 210 is the mode determination module; 220 is the first acquisition module; 230 is the second acquisition module; and 240 is the third acquisition module.

[0016] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0017] It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of the application. Rather, these embodiments are provided to make the disclosure more thorough and complete, and to fully convey the scope of the disclosure to those skilled in the art.

[0018] Currently, the distribution of remaining oil is the foundation for tapping the potential of oilfield measures and refining water drive management. How to quantitatively characterize the remaining potential of oil reservoirs is the main challenge for oilfields in the high-yield and high-volume stage to maintain stable production. Conventional remaining oil characterization technology is complex, requires high-quality data, and is cumbersome.

[0019] To address the aforementioned technical problems, embodiments of this application provide a method for quantitatively evaluating residual oil, such as... Figure 1 As shown, the method may include the following steps: S10, determined the "bottom-type" residual oil distribution pattern of homogeneous thin-layer bottom-water reservoirs.

[0020] Specifically, the "bottom-shaped" residual oil distribution pattern of homogeneous thin-layer bottom-water reservoirs was determined using a numerical modeling method for typical bottom-water reservoirs.

[0021] S20, obtain the strong flooding radius under various bottom water thicknesses during the high-temperature development stage.

[0022] In an exemplary embodiment, step S20 may include the following steps: S210, based on the interpretation results of cross-layer wells, obtains the strong flooding radius under various bottom water thicknesses during the high-temperature development stage; S220, when the bottom water thickness (HW) between injection and production wells in the bottom water reservoir is >3m, the strong water flooding radius is: distance from water well ≤130m, distance from production well <40m; S230, when the bottom water thickness (HW) between injection and production wells in the bottom water reservoir is ≤3m, the strong water flooding radius is: ≤200m from the water well and <40m from the production well.

[0023] S30, obtain the quantitative expression of the remaining oil enrichment zone under various bottom water thicknesses.

[0024] In an exemplary embodiment, step S30 may specifically include the following steps: S310, Based on the interpretation results of the cross-layer well, obtain a quantitative expression for the remaining oil enrichment zone under various bottom water thicknesses; S320, when the bottom water thickness (HW) between injection and production wells in a bottom water reservoir is >3m, the expression for the residual oil enrichment zone outside the strong water flooding radius is as follows: y=-0.0181x2+7.4021x-677.03 (1) S330, when the bottom water thickness (HW) between injection and production wells in a bottom water reservoir is ≤3m, the expression for the remaining oil enrichment zone outside the strong water flooding radius is as follows: y=-0.029x2+13.361x-1500.7 (2) Where x is the distance from the injection well, in meters; y is the degree of remaining oil enrichment, in meters.

[0025] S40, obtain the weak water flooding thickness H at various locations in the reservoir.

[0026] In an exemplary embodiment, step S40 may specifically include the following steps: S410, S410, based on the following quantitative expression, obtain the weak water flooding thickness H at various locations in the reservoir, realizing a rapid quantitative expression of the remaining potential area of ​​the entire reservoir: H = Ho * y (3) Where H is the thickness of the weakly flooded layer, in meters; Ho is the original oil layer thickness, in meters; and y is the degree of remaining oil enrichment, in meters.

[0027] In this exemplary embodiment, by obtaining the strong water flooding radius under various bottom water thicknesses during the high-yield and high-pressure development stage, a standard model under different bottom water thicknesses is established to determine the mixed-source displacement mode of the classified bottom water reservoir. To address the challenge of defining and quantifying the remaining oil in "bottom-shaped" reservoirs, the potential enrichment area is located based on the interpretation of water flooding at through-wells. By obtaining quantitative expressions for the remaining oil enrichment area under various bottom water thicknesses, a rapid quantitative expression of the remaining potential area is achieved, providing a reliable basis for the accurate tapping of the remaining oil in the high-yield and high-pressure development stage. Moreover, this process is simple and efficient.

[0028] The following are specific examples: Example 1: Given a medium-high permeability, thin-layer bottom-water reservoir with an injection-production well spacing of 300m, this reservoir has entered the dual-high development stage. The thickness H of the oil layer in a certain well group within the reservoir is... o The depth is 5.0m, and the bottom water thickness is H. w The value is 4.0m. Calculate: ① the radius of the strong water flooding of this well group; ② the thickness H of the weak water flooding layer when the well is 200m away from the injection well and 100m away from the production well.

[0029] (1) Given that the bottom water thickness of the reservoir is 4.0m, the strong water flooding radius during the dual-high development stage is determined to be: 130m around the water well and 40m around the oil well; (2) Given that the location 200m from the injection well and 100m from the production well is not in the strong flooding radius zone, the thickness H of the weak flooding layer can be determined based on the following steps.

[0030] Step S1: When the reservoir (H) W When the bottom water thickness is 4.0m, the formula is as follows: y=-0.0181x 2 +7.4021x-677.03(4) Where x is the distance from the injection well, in meters; y is the degree of remaining oil enrichment, in meters.

[0031] When x equals 200m, find y; y = -0.0181x 2 +7.4021x-677.03 =-0.0181*200*200+7.4021*200-677.03 =79.39% Therefore, the remaining oil enrichment level y can be calculated using a relational expression, which equals 79.39%. Step S2: The thickness of the weak water flooding is obtained using formula (3); Given: H o Given 5m, the first step yields y, which is 79.39%. Based on the following formula, H is calculated.

[0032] H = y * H o =0.7939*5=3.9695m(5) Example 2: Given a medium-high permeability, thin-layer bottom-water reservoir with an injection-production well spacing of 300m, this reservoir has entered the dual-high development stage. The thickness H of the oil layer in a certain well group within the reservoir is... o The depth is 4.0m, and the bottom water thickness is H. w The value is 2.0m. Calculate: ① the radius of the strong water flooding of this well group; ② the thickness H of the weak water flooding layer when the well is 240m away from the injection well and 60m away from the production well.

[0033] (1) Given that the bottom water thickness of the reservoir is 2.0m, the strong water flooding radius during the dual-high development stage is determined to be: 200m around the water well and 40m around the oil well; (2) Given that the location 240m from the injection well and 60m from the production well is not in the strong flooding radius zone, the thickness H of the weak flooding layer can be obtained based on the following steps.

[0034] Step S1: When the reservoir (H) W When the bottom water thickness is 2.0m, the formula is as follows: y=-0.029x 2 +13.361x-1500.7(6) Where x is the distance from the injection well, in meters; y is the degree of remaining oil enrichment, in meters.

[0035] When x equals 240m, y can be obtained based on the following formula; y = -0.029x 2 +13.361x-1500.7 =-0.029*240*240+13.361*240-1500.7=35.54%(7) Therefore, the degree of remaining oil enrichment y can be calculated using a relational expression, which equals 35.54%. Step S2: The thickness of the weak water flooding is obtained using formula (3); Given: H o Given 4m, the first step yields y, which is 35.54%. Based on the following formula, H is calculated.

[0036] H = y * Ho =0.3554*5=1.4216m(8) In the above example, the calculated thickness of the weak water flooding can accurately locate the remaining oil-rich area in the high-yield and high-quality development stage, guiding the efficient tapping of the reservoir's potential.

[0037] Based on the above embodiments, refer to Figure 2 Another embodiment of this application also provides a residual oil quantitative evaluation device, which may include the following modules: The pattern determination module 210 is used to determine the "bottom-type" residual oil distribution pattern of homogeneous thin-layer bottom-water reservoirs; The first acquisition module 220 is used to acquire the strong flooding radius under various bottom water thicknesses during the high-temperature development stage. The second acquisition module 230 is used to acquire quantitative expressions for the remaining oil enrichment zone under various bottom water thicknesses; The third acquisition module 240 is used to acquire the weak water flooding thickness H at various locations in the reservoir.

[0038] Based on the above embodiments, this application also provides a computer-readable storage medium, see reference. Figure 3 The computer-readable storage medium shown is an optical disc 50, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it implements the steps described in the above-described method implementation, such as determining the "bottom-type" residual oil distribution pattern of a homogeneous thin-layer bottom-water reservoir; obtaining the strong waterflood radius under various bottom-water thicknesses in the high-dual-high development stage; obtaining quantitative expressions for the residual oil enrichment zone under various bottom-water thicknesses; and obtaining the weak waterflood thickness H at various locations in the reservoir. The specific implementation methods of each step will not be repeated here.

[0039] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0040] In addition to the above embodiments, this application also provides a computing device. Figure 4 A block diagram is shown of an exemplary computing device 60 suitable for implementing embodiments of the present application. The computing device 60 may be a computer system or a server. Figure 4 The computing device 60 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0041] like Figure 4 As shown, the components of computing device 60 may include, but are not limited to: one or more processors or processing units 601, system memory 602, and bus 603 connecting different system components (including system memory 602 and processing unit 601).

[0042] The computing device 60 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computing device 60, including volatile and non-volatile media, removable and non-removable media.

[0043] System memory 602 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 6021 and / or cache memory 6022. Computing device 60 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 6023 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 4 (Not shown in the image, usually referred to as "hard drive"). Although not shown in... Figure 4 The diagram illustrates that a disk drive for reading and writing to removable non-volatile disks (e.g., "floppy disks") and an optical disk drive for reading and writing to removable non-volatile optical disks (e.g., CD-ROMs, DVD-ROMs, or other optical media) can be provided. In these cases, each drive can be connected to a bus 603 connecting different system components via one or more data media interfaces. The system memory 602 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0044] A program / utility 6025 having a set (at least one) of program modules 6024 may be stored, for example, in system memory 602, and such program modules 6024 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment. Program modules 6024 typically perform the functions and / or methods described in the embodiments of this application.

[0045] The computing device 60 can also communicate with one or more external devices 604 (such as a keyboard, pointing device, display, etc.). This communication can be performed via input / output (I / O) interface 605. Furthermore, the computing device 60 can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapter 606. Figure 4As shown, network adapter 606 communicates with other modules of computing device 60 (such as processing unit 601, etc.) via bus 603, which connects different system components. It should be understood that, although... Figure 4 Other hardware and / or software modules may be used in conjunction with computing device 60, as not shown in the diagram.

[0046] The processing unit 601 executes various functional applications and data processing by running programs stored in the system memory 602. For example, it determines the "bottom-type" remaining oil distribution pattern of homogeneous thin-layer bottom-water reservoirs; obtains the strong waterflood radius under various bottom-water thicknesses during the high-yield development stage; obtains quantitative expressions for remaining oil enrichment zones under various bottom-water thicknesses; and obtains the weak waterflood thickness H at various locations in the reservoir. The specific implementation methods of each step will not be repeated here. It should be noted that although several units / modules or sub-units / sub-modules of the remaining oil quantitative evaluation device are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0047] In the description of this application, it should be noted that the terms "first", "second", and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0048] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0049] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interface; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0050] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0051] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0052] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0053] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the technical scope disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

[0054] Furthermore, although the operations of the method of this application are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

Claims

1. A method for quantitative evaluation of residual oil, characterized in that, The method for quantitative evaluation of residual oil includes the following steps: S10, determine the "bottom-shaped" residual oil distribution pattern of homogeneous thin-layer bottom-water reservoirs; S20, obtain the strong flooding radius under various bottom water thicknesses during the high-temperature development stage; S30, obtain the quantitative expression of the remaining oil enrichment zone under various bottom water thicknesses; S40, obtain the weak water flooding thickness H at various locations in the reservoir.

2. The method for quantitative evaluation of residual oil according to claim 1, characterized in that, In step S10, step S20 includes the following steps: S210, based on the interpretation results of cross-layer wells, obtains the strong flooding radius under various bottom water thicknesses during the high-temperature development stage; S220, when the bottom water thickness (HW) between injection and production wells in the bottom water reservoir is greater than 3m, the strong water flooding radius is: distance from water well ≤ 130m, distance from production well < 40m; S230, when the bottom water thickness (HW) between injection and production wells in the bottom water reservoir is ≤3m, the strong water flooding radius is: ≤200m from the water well and <40m from the production well.

3. The method for quantitative evaluation of residual oil according to claim 1, characterized in that, Step S30 includes the following steps: S310, Based on the interpretation results of the cross-layer well, obtain a quantitative expression for the remaining oil enrichment zone under various bottom water thicknesses; S320, when the bottom water thickness (HW) between injection and production wells in a bottom water reservoir is >3m, the expression for the residual oil enrichment zone outside the strong water flooding radius is as follows: y=-0.0181x2+7.4021x-677.03 (1) S330, when the bottom water thickness (HW) between injection and production wells in a bottom water reservoir is ≤3m, the expression for the remaining oil enrichment zone outside the strong water flooding radius is as follows: y=-0.029x2+13.361x-1500.7 (2) Where x is the distance from the injection well, in meters; y is the degree of remaining oil enrichment, in meters.

4. The method for quantitative evaluation of residual oil according to claim 1, characterized in that, Step S40 includes the following steps: S410, based on the following quantitative expression, obtains the weak water-flood thickness H at various locations in the reservoir, realizing a rapid quantitative expression of the remaining potential area of ​​the entire reservoir: H = Ho * y (3) Where H is the thickness of the weakly flooded layer, in meters; Ho is the original oil layer thickness, in meters; and y is the degree of remaining oil enrichment, in meters.

5. A device for quantitatively evaluating residual oil, characterized in that, include: The pattern determination module is used to determine the "bottom-type" residual oil distribution pattern of homogeneous thin-layer bottom-water reservoirs; The first acquisition module is used to acquire the strong flooding radius under various bottom water thicknesses during the high-temperature development phase. The second acquisition module is used to obtain quantitative expressions for the remaining oil enrichment zone under various bottom water thicknesses; The third acquisition module is used to acquire the weak water flooding thickness H at various locations in the reservoir.

6. A computer-readable storage medium, characterized in that, It includes instructions that, when run on a computer, cause the computer to perform the quantitative evaluation method for residual oil as described in any one of claims 1 to 4.

7. A computing device, characterized in that, The computing device includes: At least one processor, memory, and input / output unit; The memory is used to store computer programs, and the processor is used to call the computer programs stored in the memory to execute the residual oil quantitative evaluation method according to any one of claims 1 to 4.

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