Methods, devices, electronic equipment, and storage media for determining reservoir management strategies

Abstract

This invention discloses a method, apparatus, electronic device, and storage medium for determining reservoir management strategies. The method includes: acquiring the original reservoir pore size corresponding to a target area, and determining the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size; determining a pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate; determining a utilization variation zone corresponding to the target area based on the pore size utilization ratio curve, and determining a reservoir management strategy based on the utilization variation zone. Based on the above technical solution, a corresponding utilization variation zone is determined according to the pore size utilization ratio curve corresponding to the target area, and then a reservoir management strategy is determined based on this utilization variation zone. This enables a quantitative study of the impact of gas relative to different pore sizes after degassing in fractured porous carbonate reservoirs, evaluates the utilization potential of different areas, and proposes corresponding management strategies.

Description

Technical Field

[0001] This invention relates to the field of oil extraction technology, and in particular to a method, apparatus, electronic device and storage medium for determining reservoir management strategies. Background Technology

[0002] With the continuous development of petroleum exploration technology, fractured porous carbonate reservoirs have gradually become the focus of oil and gas exploration and development. Water drive, as a commonly used reservoir development method, is also widely used in fractured porous carbonate reservoirs.

[0003] However, due to the low pressure levels in carbonate reservoirs and the complex distribution of pores and fractures, conventional methods for understanding the potential distribution after waterflooding are not applicable, and the utilization status of pore throats after degassing is unclear. Existing methods for calculating the utilization ratio of pore diameters usually calculate for a single pore diameter, resulting in low calculation efficiency. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for determining reservoir management strategies. By determining the corresponding reservoir management strategy through the pore size utilization ratio, it enables a quantitative study of the influence of gas relative on different pore sizes after degassing in fractured porous carbonate reservoirs, evaluates the utilization potential of different areas, and proposes corresponding management strategies.

[0005] According to one aspect of the present invention, a method for determining a reservoir management strategy is provided, the method comprising:

[0006] Obtain the original reservoir pore size corresponding to the target area, and determine the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size;

[0007] Based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate, a pore size utilization ratio curve corresponding to the target area is determined, wherein the pore size utilization ratio curve includes the original pore size utilization ratio curve and the pore size utilization ratio curve after degassing.

[0008] Based on the aperture utilization ratio curve, the utilization variation zone corresponding to the target area is determined, and the reservoir management strategy is determined based on the utilization variation zone.

[0009] According to another aspect of the present invention, an apparatus for determining a reservoir management strategy is provided, the apparatus comprising:

[0010] The simulation data determination module is used to obtain the original reservoir pore size corresponding to the target area, and to determine the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size;

[0011] The utilization ratio determination module is used to determine the pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery rate, wherein the pore size utilization ratio curve includes the original pore size utilization ratio curve and the pore size utilization ratio curve after degassing.

[0012] The governance strategy determination module is used to determine the mobilization variation zone corresponding to the target area based on the aperture mobilization ratio curve, and to determine the reservoir governance strategy based on the mobilization variation zone.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the method for determining the reservoir management strategy according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the method for determining the reservoir management strategy according to any embodiment of the present invention.

[0018] The technical solution of this invention involves obtaining the original reservoir pore size corresponding to a target area, determining the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size, and then determining the pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate. Furthermore, it identifies the utilization variation zone corresponding to the target area based on the pore size utilization ratio curve, and finally determines the reservoir remediation strategy based on the utilization variation zone. Based on the above technical solution, by determining the corresponding utilization variation zone according to the pore size utilization ratio curve corresponding to the target area, and then determining the reservoir remediation strategy based on this utilization variation zone, a quantitative study of the impact of gas relative on different pore sizes after degassing in fractured porous carbonate reservoirs is achieved, evaluating the utilization potential of different areas and proposing corresponding remediation strategies.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0021] Figure 1 This is a flowchart illustrating a method for determining a reservoir management strategy according to an embodiment of the present invention;

[0022] Figure 2 This is a flowchart of a method for determining a reservoir management strategy provided in an embodiment of the present invention;

[0023] Figure 3 This is a schematic diagram of the original aperture utilization ratio curve provided in an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the original aperture utilization ratio curve and the aperture utilization ratio curve after degassing provided in the embodiments of the present invention;

[0025] Figure 5 This is a structural block diagram of a reservoir management strategy determination device provided in an embodiment of the present invention;

[0026] Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] Example 1

[0030] Figure 1 This is a flowchart illustrating a method for determining a reservoir management strategy according to an embodiment of the present invention. This embodiment is applicable to situations where the pore size utilization ratio curve is determined based on the original reservoir pore size of the target area, and then a reservoir management strategy corresponding to the target area is determined based on the pore size utilization ratio. This method can be executed by a reservoir management strategy determination device, which can be implemented in hardware and / or software. The reservoir management strategy determination device can be configured in an electronic device, such as a server or terminal device.

[0031] like Figure 1 As shown, the method includes:

[0032] S110. Obtain the original reservoir pore size corresponding to the target area, and determine the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size.

[0033] The target area can be an area requiring reservoir exploration, and the geological type within the target area can be fractured porous carbonate rock. The original reservoir pore size can be understood as the pore size data obtained after measuring the target area using a pore size measuring instrument. The pore size area distribution ratio can be the proportion of the pore area of ​​different pore sizes within the target area to the total pore size area. The simulated recovery rate can be understood as the simulated ideal reservoir recovery rate.

[0034] Specifically, the process involves obtaining the original reservoir pore size corresponding to the target area, and determining the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size. For example, this can be achieved by measuring the original reservoir pore size data corresponding to the target area using a pore size measuring instrument. Then, simulation experiments can be conducted based on the original reservoir pore size to obtain the corresponding pore size area distribution ratio and simulated recovery rate. It should be noted that the pore size measuring instrument can be a general-purpose length measuring tool, such as a vernier caliper, tool microscope, universal length comparator, horizontal length measuring instrument, horizontal optical meter, and pneumatic measuring instrument, or it can be a dedicated pore size measuring tool, such as an inside micrometer, inside dial indicator, micrometer, electronic plug gauge, and pore size measuring instrument using pneumatic, optical, and electrical principles.

[0035] Based on the above technical solution, the step of determining the pore area distribution ratio and simulated recovery rate based on the reservoir pore size includes: determining a microfluidic simulation model corresponding to the target area based on the original reservoir pore size; and determining the pore area distribution ratio and simulated recovery rate corresponding to the target area based on the microfluidic simulation model.

[0036] Among them, the microfluidic simulation model can be understood as a simulation model corresponding to the target region constructed using microfluidic technology.

[0037] Specifically, a microfluidic simulation model corresponding to the target region is determined based on the original reservoir pore size. Based on the microfluidic simulation model, the pore area distribution ratio and the simulated recovery rate corresponding to the target region are determined. For example, after obtaining the original reservoir pore size, a microfluidic simulation model corresponding to the target region can be constructed based on a preset scaling ratio. Then, experiments are conducted based on this microfluidic simulation model to obtain the pore area distribution ratio and the simulated recovery rate corresponding to the target region.

[0038] S120. Based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate, determine the pore size utilization ratio curve corresponding to the target area.

[0039] The aperture utilization ratio curve includes the original aperture utilization ratio curve and the aperture utilization ratio curve after degassing. The aperture utilization ratio curve can be a curve composed of the utilization ratios corresponding to different apertures. The original aperture utilization ratio curve can be understood as the utilization ratio curve before degassing treatment, and correspondingly, the aperture utilization ratio curve after degassing treatment can be the utilization ratio curve after degassing treatment.

[0040] Specifically, based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate, a pore size utilization ratio curve corresponding to the target area is determined. For example, after obtaining the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate, a data model corresponding to the target area can be constructed, and the data model can be continuously optimized based on the simulated recovery rate to obtain the pore size utilization ratio curve corresponding to the target area. It should be noted that since the pore size utilization ratio curve includes both the original pore size utilization ratio curve and the pore size utilization ratio curve after degassing, when determining the pore size utilization ratio curve after degassing, it is necessary to re-obtain the original reservoir pore size, pore size area distribution ratio, and simulated recovery rate after degassing. The specific method for obtaining these parameters can refer to the above scheme. Then, after obtaining the diameter of the pores in the fractured porous carbonate reservoir, i.e., the pore size r (in μm), the cumulative area frequency distribution p(r) of different pore sizes (referring to the proportion of the pore area of ​​pore size r to the total pore area), and the simulated recovery rate R, these can be substituted into the pore size utilization ratio function. In the process, the aperture utilization ratio curve is obtained.

[0041] Based on the above technical solution, the step of determining the pore size utilization ratio curve corresponding to the target area based on the reservoir pore size, the pore size distribution area, and the simulated recovery rate includes: determining the ratio parameter to be optimized based on a preset ratio range; discretizing the original reservoir pore size based on a preset discretization step length to determine at least one target reservoir pore size; and determining the pore size utilization ratio curve based on the ratio parameter to be optimized, the target reservoir pore size, the pore size distribution area, and the simulated recovery rate.

[0042] Here, the preset ratio range can be understood as a pre-set selection range of initial parameters. The ratio parameter to be optimized can be the ratio parameter in the mathematical model that needs to be optimized. The preset discretization length can be understood as a pre-set interval for discretizing the pore size data, for example, the preset discretization length can be 100μm. The target reservoir pore size can be the pore size of each reservoir obtained after discretizing the original reservoir pore size.

[0043] Specifically, the optimization ratio parameter is determined based on a preset ratio range, and then the original reservoir pore size is discretized based on a preset discretization step length to determine at least one target reservoir pore size. After obtaining the target reservoir pore size, the pore size utilization ratio curve is determined based on the optimization ratio parameter, the target reservoir pore size, the pore size distribution area, and the simulated recovery rate. For example, parameter values ​​can be arbitrarily selected from the preset ratio range and used as the optimization ratio parameter. Initial values ​​a1 and b1 are given to parameters x1 and x2, respectively, and the original reservoir pore size r is discretized into different pore sizes r1, r2, ... r N Then, based on the optimized proportional parameters, the target reservoir pore size, the pore size distribution area, and the simulated recovery rate, the pore size utilization ratio curve is determined.

[0044] Based on the above technical solution, determining the pore size utilization ratio curve based on the optimization ratio parameter, the target reservoir pore size, the pore size distribution area, and the simulated recovery rate includes: determining the optimization pore size utilization ratio corresponding to the target reservoir pore size based on the optimization ratio parameter; determining the theoretical recovery rate based on the optimization pore size utilization ratio and the pore size distribution ratio; and determining the pore size utilization ratio curve based on the theoretical recovery rate and the simulated recovery rate.

[0045] The aperture utilization ratio to be optimized can be an aperture utilization ratio corresponding to the optimization ratio parameter, for example, it can be obtained by substituting the optimization ratio parameter into the aperture utilization ratio formula. The theoretical recovery rate can be understood as the reservoir recovery rate obtained based on the aperture utilization ratio to be optimized.

[0046] Specifically, based on the parameters to be optimized, the utilization ratio of the pore size corresponding to the target reservoir pore size is determined. The theoretical recovery rate is determined based on the utilization ratio of the pore size and the pore size area distribution ratio. Finally, the pore size utilization ratio curve is determined based on the theoretical recovery rate and the simulated recovery rate. For example, the target reservoir pore size can be substituted into the utilization ratio formula. In the process, the proportions of pore size to be optimized, S(r1), S(r2), ..., S(r) corresponding to the pore size of the target reservoir, are calculated. N Then, based on the aperture utilization ratio and aperture area distribution ratio to be optimized, the theoretical recovery rate is determined, and the theoretical recovery rate R' = p(r1)×S(r1) + p(r2)×S(r2) + ... + p(r N )×S(r N ).

[0047] Based on the above technical solution, determining the aperture utilization ratio curve based on the theoretical recovery rate and the simulated recovery rate includes: if the theoretical recovery rate does not match the simulated recovery rate, adjusting the ratio parameter to be optimized based on a preset adjustment step size, and updating the theoretical recovery rate based on the adjusted ratio parameter to be optimized; if the theoretical recovery rate matches the simulated recovery rate, using the current ratio parameter to be optimized as the target ratio parameter, and determining the aperture utilization ratio curve corresponding to the target reservoir aperture based on the target ratio parameter.

[0048] The preset adjustment step size can be a pre-set parameter adjustment value. For example, the preset adjustment step size can be 1 added to or subtracted from the previous adjustment. The target ratio parameter can be understood as the final determined ratio parameter value.

[0049] Specifically, if the theoretical recovery rate does not match the simulated recovery rate, the ratio parameter to be optimized is adjusted based on a preset adjustment step size, and the theoretical recovery rate is updated based on the adjusted ratio parameter. If the theoretical recovery rate matches the simulated recovery rate, the current ratio parameter to be optimized is used as the target ratio parameter, and the aperture utilization ratio curve corresponding to the target reservoir aperture is determined based on the target ratio parameter. For example, it can be a comparison of the theoretical recovery rate R' and the actual recovery rate R. If R' ≠ R, x1 = a2 and x2 = b2 are adjusted based on a preset frame skipping step size, and the above verification steps are repeated until R' = R. Then, the current ratio parameter to be optimized is used as the target ratio parameter, and the target ratio parameter and the target reservoir aperture are substituted into the equation. In this way, different apertures r can be obtained. i Aperture movement ratio S(r) i After fitting, the aperture utilization ratio curve is plotted.

[0050] S130. Based on the aperture utilization ratio curve, determine the utilization variation zone corresponding to the target area, and determine the reservoir management strategy based on the utilization variation zone.

[0051] The "recovery zone" can be understood as the area where the recovery ratio curve changes after degassing treatment. Reservoir remediation strategies can be methods used to treat the target area, such as sealing fractures or eliminating the gas phase.

[0052] Specifically, based on the pore size utilization ratio curve, the utilization variation zone corresponding to the target area is determined, and based on the utilization variation zone, the reservoir management strategy is determined. It should be noted that, based on the changing trend of the utilization ratio curves for different pore sizes in the presence of a gas phase, the area can be divided into three regions: the difficult-to-utilize zone, the utilization variation zone, and the utilization improvement zone. The difficult-to-utilize zone is the pore size region with a utilization ratio less than 0.01; the utilization variation zone is the pore size region where the utilization ratio decreases when a gas phase is present, corresponding to the effective range of gas phase blocking; the utilization improvement zone is the region where the pore size utilization ratio increases when a gas phase is present, corresponding to the effective range of water channeling.

[0053] Based on the above technical solution, the step of determining the utilization variation zone corresponding to the target region based on the aperture utilization ratio curve includes: determining the aperture range where the utilization ratio of the degassed aperture is less than the original aperture utilization ratio based on the original aperture utilization ratio curve and the degassed aperture utilization ratio curve, and taking the aperture range as the utilization variation zone.

[0054] Specifically, based on the original pore size utilization ratio curve and the degassed pore size utilization ratio curve, the pore size range in which the utilization ratio after degassed treatment is less than the original pore size utilization ratio is determined, and the pore size range is taken as the utilization variation region. It can be understood that after obtaining the original pore size utilization ratio curve and the degassed pore size utilization ratio curve, the pore size range in which the utilization ratio decreases after degassed treatment can be determined based on the above curves, and the pore size range is taken as the utilization variation region.

[0055] Based on the above technical solution, the step of determining the reservoir management strategy based on the mobilization variation zone includes: if the mobilization variation zone is located in a first preset aperture range, then the reservoir management strategy is determined to be sealing fractures; if the mobilization variation zone is located in a second preset aperture range, then the reservoir management strategy is determined to be sealing fractures and eliminating meteorological influences; if the mobilization variation zone is located in a third preset aperture range, then the reservoir management strategy is determined to be eliminating meteorological influences.

[0056] The third preset interval includes the second preset interval; the second preset interval includes the first preset interval.

[0057] Specifically, if the activated variable zone is located within a first preset pore size range, the reservoir management strategy is determined to be fracture sealing. If the activated variable zone is located within a second preset pore size range, the reservoir management strategy is determined to be fracture sealing and eliminating meteorological influences. If the activated variable zone is located within a third preset pore size range, the reservoir management strategy is determined to be eliminating meteorological influences. For example, if the pore size range of the activated variable zone is between 350 and 1200 μm, the main problem is water channeling along the fractures, and the main management strategy should be fracture sealing. If the pore size range of the activated variable zone is between 700 and 1900 μm, the main problems are water channeling along the fractures and gas phase shielding matrix porosity, and the main management strategy should be fracture sealing and eliminating gas phase influences. If the pore size range of the activated variable zone is large, between 50 and 2100 μm, the main problem is gas phase shielding matrix porosity, and the main management strategy should be eliminating gas phase influences.

[0058] The technical solution of this invention involves obtaining the original reservoir pore size corresponding to a target area, determining the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size, and then determining the pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate. Furthermore, it identifies the utilization variation zone corresponding to the target area based on the pore size utilization ratio curve, and finally determines the reservoir remediation strategy based on the utilization variation zone. Based on the above technical solution, by determining the corresponding utilization variation zone according to the pore size utilization ratio curve corresponding to the target area, and then determining the reservoir remediation strategy based on this utilization variation zone, a quantitative study of the impact of gas relative on different pore sizes after degassing in fractured porous carbonate reservoirs is achieved, evaluating the utilization potential of different areas and proposing corresponding remediation strategies.

[0059] Example 2

[0060] Figure 2 This is a flowchart illustrating a method for determining a reservoir management strategy according to an embodiment of the present invention. This embodiment further optimizes the method for determining the reservoir management strategy based on the above embodiments. Specific implementation details can be found in the technical solution of this embodiment. Technical terms that are the same as or corresponding to those in the above embodiments will not be repeated here.

[0061] like Figure 2 The method described in this embodiment of the invention includes:

[0062] Parameter acquisition: Specifically, the original reservoir pore size *r* corresponding to the target area is acquired. Based on the original reservoir pore size, the pore area distribution ratio *p(r)* and the simulated recovery rate *R* are determined. For example, after acquiring the original reservoir pore size, a microfluidic simulation model corresponding to the target area can be constructed based on a preset scaling ratio. Then, experiments are conducted based on this microfluidic simulation model to obtain the pore area distribution ratio and the simulated recovery rate corresponding to the target area. For example, the obtained parameters can be shown in Table 1.

[0063] Table 1

[0064]

[0065]

[0066] Determine the pore size utilization ratio curve: Specifically, arbitrarily select parameter values ​​from a preset ratio range and use them as the ratio parameters to be optimized. Assign initial values ​​a1 and b1 to parameters x1 and x2 respectively, and discretize the original reservoir pore size r into different pore sizes r1, r2, ... r N Then, the target reservoir pore size is substituted into the mobilization ratio formula. In the process, the proportions of pore size to be optimized, S(r1), S(r2), ..., S(r) corresponding to the pore size of the target reservoir, are calculated. N Then, based on the ratio of aperture utilization to be optimized and the ratio of aperture area distribution, the theoretical recovery rate R' = p(r1)×S(r1) + p(r2)×S(r2) + … + p(r N )×S(r N By comparing the theoretical recovery rate R' and the simulated recovery rate R, if R' ≠ R, then adjust x1 = a2 and x2 = b2 based on the preset skip frame step size, and repeat the above verification steps until R' = R. Then, use the current proportional parameter to be optimized as the target proportional parameter, and substitute the target proportional parameter and the target reservoir pore size into the... In this way, different apertures r can be obtained. i Aperture movement ratio S(r) i After fitting the data, the aperture utilization ratio curve is plotted. For example, based on the above parameters, the actual recovery rate corresponding to each target aperture can be obtained. Assuming x1 = 1900 and x2 = 456.5, x1, x2, and the discretized aperture r are substituted into the aperture utilization ratio function to calculate the utilization ratio for different apertures. The aperture utilization ratio function is then used to calculate the utilization ratio for each aperture. The calculated data are shown in Table 2:

[0067] Table 2

[0068] <![CDATA[Aperture r i (μm)]]> <![CDATA[Utilization ratio S(r i )]]> 50 0 150 0 250 0 350 0 450 0 550 0 650 0 750 0.01 850 0.01 950 0.02 1050 0.03 1150 0.05 1250 0.08 1350 0.11 1450 0.16 1550 0.22 1650 0.29 1750 0.37 1850 0.46 1950 0.54 2050 0.63 2150 0.71 2250 0.78 2350 0.84

[0069] Based on the above data, the actual recovery rate R' is calculated as: R' = p(r1) × S(r1) + p(r2) × S(r2) + ... + p(r N )×S(r N The calculation process is as follows:

[0070] R'=p(r1)×S(r1)+p(r2)×S(r2)+…+p(r N )×S(r N )

[0071] = 0.1038960×0 + 0×0 + 0.363636×0 + ... + 10.2857×0.84

[0072] =23.8

[0073] By comparing the actual recovery rate R' and the simulated recovery rate R, since R' = R, the output parameters x1, x2, and the utilization ratios for different orifice diameters are determined, thereby establishing the original orifice diameter utilization ratio curve, as shown below. Figure 3 As shown, and the same steps can be used to obtain the pore size utilization ratio curve after degassing, as shown. Figure 4 As shown.

[0074] Identify the utilization variation zone and determine reservoir remediation strategies based on it: Specifically, after obtaining the original pore size utilization ratio curve and the degassed pore size utilization ratio curve, the pore size range in which the utilization ratio decreases after degassed treatment can be determined based on these curves, and this pore size range is taken as the utilization variation zone. If the pore size range of the "utilization variation zone" is between 350 and 1200 μm, the main problem is water channeling along fractures, and the main remediation strategy should be to seal fractures. If the pore size range of the "utilization variation zone" is between 700 and 1900 μm, the main problems are water channeling along fractures and gas phase shielding matrix porosity, and the main remediation strategies should be to seal fractures and eliminate gas phase influence. If the pore size range of the "utilization variation zone" is large, between 50 and 2100 μm, the main problem is gas phase shielding matrix porosity, and the main remediation strategy should be to eliminate gas phase influence. For example, based on... Figure 4The curves show a significant decrease in the utilization rate of matrix pores with pore sizes between 700 and 1900 μm, and severe water channeling in pores with pore sizes between 1900 and 2450 μm. This indicates that the degassed potential is mainly distributed in the medium with pore sizes between 700 and 1900 μm. This is primarily due to the shielding effect of the gas phase at the fracture-matrix interface, making it difficult for injected water to enter the pores in the matrix. Consequently, the utilization of matrix pores with larger pore sizes deteriorates, and injected water is more likely to channel along the fractures. For this type of well group, it is necessary to plug the pores between 1900 and 2450 μm and enhance the utilization of the medium with pore sizes between 700 and 1900 μm. A small dose of gel with excellent fracture-plugging ability should be used as the first stage plug, followed by a larger dose of microspheres as the second stage plug, supplemented with surfactants to regulate the flow, reduce the gas-liquid interfacial tension, and eliminate the influence of gas.

[0075] The technical solution of this invention involves obtaining the original reservoir pore size corresponding to a target area, determining the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size, and then determining the pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate. Furthermore, it identifies the utilization variation zone corresponding to the target area based on the pore size utilization ratio curve, and finally determines the reservoir remediation strategy based on the utilization variation zone. Based on the above technical solution, by determining the corresponding utilization variation zone according to the pore size utilization ratio curve corresponding to the target area, and then determining the reservoir remediation strategy based on this utilization variation zone, a quantitative study of the impact of gas relative on different pore sizes after degassing in fractured porous carbonate reservoirs is achieved, evaluating the utilization potential of different areas and proposing corresponding remediation strategies.

[0076] Example 3

[0077] Figure 5 This is a structural block diagram of an apparatus for determining a reservoir management strategy, provided as an embodiment of the present invention. Figure 5 As shown, the device includes: a simulation data determination module 510, a utilization ratio determination module 520, and a governance strategy determination module 530.

[0078] The simulation data determination module 510 is used to obtain the original reservoir pore size corresponding to the target area, and to determine the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size.

[0079] The utilization ratio determination module 520 is used to determine the pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery rate, wherein the pore size utilization ratio curve includes the original pore size utilization ratio curve and the pore size utilization ratio curve after degassing.

[0080] The governance strategy determination module 530 is used to determine the mobilization variation zone corresponding to the target area based on the aperture mobilization ratio curve, and to determine the reservoir governance strategy based on the mobilization variation zone.

[0081] Based on the above technical solution, the simulation data determination module is used to determine a microfluidic simulation model corresponding to the target area based on the reservoir pore size; and to determine the pore size area distribution ratio and the simulated recovery rate corresponding to the target area based on the microfluidic simulation model.

[0082] Based on the above technical solution, the utilization ratio determination module is used to determine the ratio parameter to be optimized based on a preset ratio range; to discretize the original reservoir pore size based on a preset discretization step length to determine at least one target reservoir pore size; and to determine the pore size utilization ratio curve based on the ratio parameter to be optimized, the target reservoir pore size, the pore size distribution area, and the simulated recovery rate.

[0083] Based on the above technical solution, the utilization ratio determination module is used to determine the utilization ratio of the pore size corresponding to the pore size of the target reservoir based on the optimization ratio parameter; to determine the theoretical recovery rate based on the utilization ratio of the pore size and the pore size area distribution ratio; and to determine the pore size utilization ratio curve based on the theoretical recovery rate and the simulated recovery rate.

[0084] Based on the above technical solution, the utilization ratio determination module is used to adjust the ratio parameter to be optimized based on a preset adjustment step size if the theoretical recovery rate does not match the simulated recovery rate, and update the theoretical recovery rate based on the adjusted ratio parameter to be optimized; if the theoretical recovery rate matches the simulated recovery rate, the current ratio parameter to be optimized is used as the target ratio parameter, and the aperture utilization ratio curve corresponding to the target reservoir aperture is determined based on the target ratio parameter.

[0085] Based on the above technical solution, the governance strategy determination module includes: a utilization variation zone determination unit, used to determine the pore size range where the utilization ratio of the pore size after degassing is less than the utilization ratio of the original pore size based on the original pore size utilization ratio curve and the degassing pore size utilization ratio curve, and to use the pore size range as the utilization variation zone.

[0086] Based on the above technical solution, the remediation strategy determination module is used to determine the reservoir remediation strategy as sealing fractures if the mobilization variation zone is located in a first preset aperture range; if the mobilization variation zone is located in a second preset aperture range, the reservoir remediation strategy is to seal fractures and eliminate meteorological influences; if the mobilization variation zone is located in a third preset aperture range, the reservoir remediation strategy is to eliminate meteorological influences; wherein, the third preset range includes the second preset range; and the second preset range includes the first preset range.

[0087] The technical solution of this invention involves obtaining the original reservoir pore size corresponding to a target area, determining the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size, and then determining the pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate. Furthermore, it identifies the utilization variation zone corresponding to the target area based on the pore size utilization ratio curve, and finally determines the reservoir remediation strategy based on the utilization variation zone. Based on the above technical solution, by determining the corresponding utilization variation zone according to the pore size utilization ratio curve corresponding to the target area, and then determining the reservoir remediation strategy based on this utilization variation zone, a quantitative study of the impact of gas relative on different pore sizes after degassing in fractured porous carbonate reservoirs is achieved, evaluating the utilization potential of different areas and proposing corresponding remediation strategies.

[0088] The reservoir management strategy determination device provided in this embodiment of the invention can execute the reservoir management strategy determination method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0089] Example 4

[0090] Figure 6 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0091] like Figure 6As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0092] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0093] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for determining reservoir management strategies.

[0094] In some embodiments, the method for determining a reservoir management strategy may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for determining a reservoir management strategy described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the method for determining a reservoir management strategy by any other suitable means (e.g., by means of firmware).

[0095] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0096] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0097] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0098] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0099] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0100] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0101] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0102] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining a reservoir management strategy, characterized in that, include: Obtain the original reservoir pore size corresponding to the target area, and determine the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size; Based on the original reservoir pore size, the pore size area distribution ratio, and the simulated recovery rate, a pore size utilization ratio curve corresponding to the target area is determined, wherein the pore size utilization ratio curve includes the original pore size utilization ratio curve and the pore size utilization ratio curve after degassing. Based on the aperture utilization ratio curve, the utilization variation zone corresponding to the target area is determined, and the reservoir treatment strategy is determined based on the utilization variation zone; The determination of pore area distribution ratio and simulated recovery rate based on the original reservoir pore size includes: Based on the original reservoir pore size, a microfluidic simulation model corresponding to the target region is determined; Based on the microfluidic simulation model, the aperture area distribution ratio and the simulated recovery rate corresponding to the target region are determined; The step of determining the pore area distribution ratio and the simulated recovery rate corresponding to the target region based on the microfluidic simulation model includes: after obtaining the original reservoir pore size, constructing a microfluidic simulation model corresponding to the target region based on a preset scaling ratio; and conducting experiments based on the microfluidic simulation model to obtain the pore area distribution ratio and the simulated recovery rate corresponding to the target region. The step of determining the utilization variation zone corresponding to the target region based on the aperture utilization ratio curve includes: Based on the original aperture utilization ratio curve and the degassed aperture utilization ratio curve, the aperture range in which the degassed aperture utilization ratio is less than the original aperture utilization ratio is determined, and the aperture range is taken as the utilization variation region. The determination of reservoir management strategies based on the activated variation zone includes: If the activated variation zone is located within the first preset aperture range, then the reservoir treatment strategy is determined to be sealing the fractures; If the activated variation zone is located within the second preset aperture range, then the reservoir treatment strategy is determined to be sealing fractures and eliminating meteorological influences; If the activated variation zone is located within the third preset aperture range, then the reservoir management strategy is determined to eliminate the impact of meteorological conditions. The third preset aperture range includes the second preset aperture range; the second preset aperture range includes the first preset aperture range.

2. The method according to claim 1, characterized in that, The determination of the pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size distribution area, and the simulated recovery rate includes: The ratio parameters to be optimized are determined based on a preset ratio range; The original reservoir pore size is discretized based on a preset discretization step length to determine at least one target reservoir pore size; The pore size utilization curve is determined based on the ratio parameter to be optimized, the target reservoir pore size, the pore size distribution area, and the simulated recovery rate.

3. The method according to claim 2, characterized in that, The process of determining the pore size utilization ratio curve based on the ratio parameter to be optimized, the target reservoir pore size, the pore size distribution area, and the simulated recovery rate includes: Based on the ratio parameter to be optimized, determine the ratio of the aperture to be optimized corresponding to the target reservoir aperture; The theoretical recovery rate is determined based on the aperture utilization ratio and aperture area distribution ratio to be optimized, and the aperture utilization ratio curve is determined based on the theoretical recovery rate and the simulated recovery rate.

4. The method according to claim 3, characterized in that, Determining the aperture utilization ratio curve based on the theoretical recovery rate and the simulated recovery rate includes: If the theoretical recovery rate does not match the simulated recovery rate, the ratio parameter to be optimized is adjusted based on a preset adjustment step size, and the theoretical recovery rate is updated based on the adjusted ratio parameter to be optimized. If the theoretical recovery rate matches the simulated recovery rate, then the current ratio parameter to be optimized is taken as the target ratio parameter, and the aperture utilization ratio curve corresponding to the target reservoir aperture is determined based on the target ratio parameter.

5. A device for determining reservoir management strategies, characterized in that, include: The simulation data determination module is used to obtain the original reservoir pore size corresponding to the target area, and to determine the pore size area distribution ratio and simulated recovery rate based on the original reservoir pore size; The utilization ratio determination module is used to determine the pore size utilization ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery rate, wherein the pore size utilization ratio curve includes the original pore size utilization ratio curve and the pore size utilization ratio curve after degassing. The remediation strategy determination module is used to determine the remediation variation zone corresponding to the target area based on the aperture remediation ratio curve, and to determine the reservoir remediation strategy based on the remediation variation zone. The simulation data determination module is used to determine a microfluidic simulation model corresponding to the target area based on the original reservoir pore size; and to determine the pore size area distribution ratio and the simulated recovery rate corresponding to the target area based on the microfluidic simulation model. The simulation data determination module is specifically used to obtain the original reservoir pore size, construct a microfluidic simulation model corresponding to the target area based on a preset scaling ratio, and conduct experiments based on the microfluidic simulation model to obtain the pore size area ratio and the simulated recovery rate corresponding to the target area. The governance strategy determination module includes: a utilization variation zone determination unit, used to determine the pore size range where the utilization ratio of the degassed pore size is less than the utilization ratio of the original pore size based on the original pore size utilization ratio curve and the degassed pore size utilization ratio curve, and to use the pore size range as the utilization variation zone. The remediation strategy determination module is used to determine the reservoir remediation strategy as sealing fractures if the mobilization variation zone is located in a first preset aperture range; to determine the reservoir remediation strategy as sealing fractures and eliminating meteorological influences if the mobilization variation zone is located in a second preset aperture range; and to determine the reservoir remediation strategy as eliminating meteorological influences if the mobilization variation zone is located in a third preset aperture range. The third preset aperture range includes the second preset aperture range, and the second preset aperture range includes the first preset aperture range.

6. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method for determining the reservoir management strategy according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for determining the reservoir management strategy as described in any one of claims 1-4.

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