Oil reservoir treatment strategy determination method and device, electronic equipment and storage medium

Abstract

The invention discloses an oil reservoir treatment strategy determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an original oil reservoir aperture corresponding to a target region, and determining an aperture area distribution proportion and a simulated recovery ratio based on the original oil reservoir aperture; based on the original oil reservoir aperture, the aperture area distribution proportion and the simulated recovery ratio, determining an aperture use proportion curve corresponding to the target area; and determining a utilization variation area corresponding to the target area based on the aperture utilization proportion curve, and determining an oil reservoir treatment strategy based on the utilization variation area. Based on the technical scheme, the corresponding utilization variation area is determined according to the aperture utilization proportion curve corresponding to the target area, and then the oil reservoir treatment strategy is determined based on the utilization variation area, so that quantitative research on the influence of the gas phase on different apertures after degassing of the fractured pore type carbonate reservoir is realized; and evaluating the utilization potentials of different regions and proposing corresponding treatment strategies.

Description

Technical Field

[0001] The present invention relates to the technical field of oil production, and in particular to a method, device, electronic equipment and storage medium for determining an oil reservoir management strategy. Background Art

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

[0003] However, due to the low pressure level of carbonate reservoirs and the complex distribution relationship of pores, caves and fractures, the conventional understanding of potential distribution after water flooding is not applicable, and the pore throat utilization status after degassing is unclear. The existing pore size utilization ratio calculation method is usually calculated for a single pore size, resulting in low calculation efficiency. Summary of the invention

[0004] The present invention provides a method, device, electronic device and storage medium for determining an oil reservoir management strategy, which determines the corresponding oil reservoir management strategy by the pore size utilization ratio, so as to realize a quantitative study on the influence of gas phase on different pore sizes after degassing in fractured pore carbonate reservoirs, evaluate the utilization potential of different regions and propose corresponding management strategies.

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

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

[0007] Determining an pore size production ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery factor, wherein the pore size production ratio curve includes an original pore size production ratio curve and a degassed pore size production ratio curve;

[0008] A producing variation zone corresponding to the target area is determined based on the pore size producing ratio curve, and a reservoir management strategy is determined based on the producing variation zone.

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

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

[0011] A production ratio determination module, used to determine an pore size production ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery factor, wherein the pore size production ratio curve includes an original pore size production ratio curve and a degassed pore size production ratio curve;

[0012] The control strategy determination module is used to determine the production variation zone corresponding to the target area based on the aperture production ratio curve, and determine the reservoir control strategy based on the production 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 executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the reservoir management strategy described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the method for determining the reservoir management strategy described in any embodiment of the present invention when executed by a processor.

[0018] The technical solution of the embodiment of the present invention obtains the original reservoir pore size corresponding to the target area, and determines the pore size area distribution ratio and the simulated recovery rate based on the original reservoir pore size, and then determines the pore size production 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, and determines the production variation zone corresponding to the target area based on the pore size production ratio curve, and finally determines the reservoir management strategy based on the production variation zone. Based on the above technical solution, the corresponding production variation zone is determined according to the pore size production ratio curve corresponding to the target area, and then the reservoir management strategy is determined based on the production variation zone, so as to realize the quantitative study of the effect of gas phase on different pore sizes after degassing in fractured pore carbonate reservoirs, evaluate the production potential of different areas and propose corresponding management strategies.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0021] Figure 1 It is a flow chart of a method for determining an oil reservoir management strategy provided by an embodiment of the present invention;

[0022] Figure 2 It is a flow chart of a method for determining an oil reservoir management strategy provided by an embodiment of the present invention;

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

[0024] Figure 4 It is a schematic diagram of an original pore size utilization ratio curve and a degassed pore size utilization ratio curve provided in an embodiment of the present invention;

[0025] Figure 5 It is a structural block diagram of a device for determining an oil reservoir management strategy provided by an embodiment of the present invention;

[0026] Figure 6 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1 It is a flow chart of a method for determining a reservoir management strategy provided by an embodiment of the present invention. This embodiment can be applied to determine an aperture utilization ratio curve according to the original reservoir aperture of the target area, and then determine the reservoir management strategy corresponding to the target area based on the aperture utilization ratio. The method can be executed by a device for determining a reservoir management strategy. The device for determining a reservoir management strategy can be implemented in the form of hardware and / or software. The device for determining a reservoir management strategy can be configured in an electronic device, which can be a server, a terminal device, etc.

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

[0032] S110, obtaining the original reservoir pore size corresponding to the target area, and determining the pore size area distribution ratio and the simulated recovery factor based on the original reservoir pore size.

[0033] The target area may be an area where oil reservoir exploration is required, and the geological type in the target area may be fractured pore carbonate rock. The original reservoir pore size may be understood as the pore size data obtained by measuring the target area using an pore size measuring instrument. The pore size area distribution ratio may be the ratio of the pore size areas of different pore sizes in the target area to the total pore size area. The simulated recovery factor may be understood as the ideal reservoir recovery factor obtained by simulation.

[0034] Specifically, the original reservoir pore size corresponding to the target area is obtained, and the pore size area distribution ratio and the simulated recovery factor are determined based on the original reservoir pore size. For example, the original reservoir pore size data corresponding to the target area can be obtained by measuring with an pore size measuring instrument, and then a simulation experiment can be performed based on the original reservoir pore size to obtain the corresponding pore size area distribution ratio and the simulated recovery factor. It should be noted that the pore size measuring instrument can be a general length measuring tool, such as a vernier caliper, a tool microscope, a universal length comparator, a horizontal length gauge, a horizontal optical gauge and a pneumatic measuring instrument, etc., or it can be a special pore size measuring tool, such as an inside micrometer, an inside dial indicator and a micrometer, an inside micrometer, an electronic plug gauge and an pore size measuring instrument using the principles of pneumatic, optical and electrical, etc.

[0035] On the basis of the above technical solution, the method of determining the pore area distribution ratio and the 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; determining the pore area distribution ratio and the 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 area constructed using microfluidic technology.

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

[0038] S120, determining an pore size production ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery factor.

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

[0040] Specifically, the aperture utilization ratio curve corresponding to the target area is determined based on the original reservoir aperture, the aperture area distribution ratio and the simulated recovery rate. For example, after obtaining the original reservoir aperture, the aperture 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 aperture utilization ratio curve corresponding to the target area. It should be noted that, since the pore size production ratio curve includes the original pore size production ratio curve and the pore size production ratio curve after degassing, when determining the pore size production ratio curve after degassing, it is necessary to re-acquire the original reservoir pore size, pore size area distribution ratio and simulated recovery rate after degassing. The specific method of obtaining the parameters can refer to the above scheme, and then obtain the diameter of the pores and vugs in the fracture pore carbonate reservoir, that is, the pore size r, in μm, the cumulative area frequency distribution p(r) of different pore sizes refers to the ratio of the pore area of ​​pore size r to the total pore area, and the simulated recovery rate R, which can be brought into the pore size production ratio function , find the aperture utilization ratio curve.

[0041] On the basis of the above technical solution, the pore size utilization ratio curve corresponding to the target area is determined based on the reservoir pore size, the pore size distribution area and the simulated recovery rate, including: determining the proportion parameter to be optimized based on a preset proportion interval; discretizing the original reservoir pore size based on a preset discrete step length to determine at least one target reservoir pore size; determining the pore size utilization ratio curve based on the proportion parameter to be optimized, the target reservoir pore size, the pore size distribution area and the simulated recovery rate.

[0042] The preset proportional interval can be understood as the selection interval of the preset initial parameters. The proportional parameter to be optimized can be the proportional parameter in the mathematical model to be optimized. The preset discrete step length can be understood as the preset interval for discretizing the aperture data, for example, the preset discrete step length can be 100 μm. The target reservoir pore size can be the pore size of each reservoir obtained by discretizing the original reservoir pore size.

[0043] Specifically, the proportion parameter to be optimized is determined based on a preset proportion interval, and then the original reservoir pore size is discretized based on a preset discrete step length to determine at least one target reservoir pore size. After the target reservoir pore size is obtained, the pore size utilization ratio curve is determined based on the proportion parameter to be optimized, the target reservoir pore size, the pore size distribution area and the simulated recovery factor. For example, a parameter value can be arbitrarily selected from the preset proportion interval and used as the proportion parameter to be optimized. The initial values ​​of parameters x1 and x2 are a1 and b1 respectively, and the original reservoir pore size r is discretized into different pore sizes r1, r2...r N The pore size utilization ratio curve is then determined based on the optimized ratio parameter, the target reservoir pore size, the pore size distribution area and the simulated recovery factor.

[0044] On the basis of the above technical solution, the pore size utilization ratio 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, including: determining the pore size utilization ratio to be optimized corresponding to the target reservoir pore size based on the ratio parameter to be optimized; determining the theoretical recovery rate based on the pore size utilization ratio to be optimized and the pore size area distribution ratio, and determining the pore size utilization ratio curve based on the theoretical recovery rate and the simulated recovery rate.

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

[0046] Specifically, the production ratio of the pore size to be optimized corresponding to the pore size of the target reservoir is determined based on the ratio parameter to be optimized, the theoretical recovery factor is determined based on the production ratio of the pore size to be optimized and the pore size area distribution ratio, and the pore size production ratio curve is determined based on the theoretical recovery factor and the simulated recovery factor. For example, the target reservoir pore size can be substituted into the production ratio formula In the above, the production ratios of the optimized apertures S(r1), S(r2)…S(r N ), and then determine the theoretical recovery factor based on the pore size production ratio to be optimized and the pore size area distribution ratio, theoretical recovery factor R'=p(r1)×S(r1)+p(r2)×S(r2)+…+p(r N )×S(r N ).

[0047] On the basis of the above technical solution, the aperture utilization ratio curve is determined based on the theoretical recovery rate and the simulated recovery rate, including: 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, 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, 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.

[0048] The preset adjustment step may be a preset parameter adjustment value, for example, the preset adjustment step may be that each adjustment is based on the last adjustment plus or minus 1. The target ratio parameter may be understood as a finally determined ratio parameter value.

[0049] Specifically, if the theoretical recovery rate does not match the simulated recovery rate, the proportion parameter to be optimized is adjusted based on the preset adjustment step size, and the theoretical recovery rate is updated based on the adjusted proportion parameter to be optimized. If the theoretical recovery rate matches the simulated recovery rate, the current proportion parameter to be optimized is used as the target proportion parameter, and the aperture utilization ratio curve corresponding to the target reservoir aperture is determined based on the target proportion parameter. For example, the theoretical recovery rate R' and the actual recovery rate R can be compared. If R'≠R, x1=a2, x2=b2 are adjusted based on the preset frame skipping step size, and the above verification steps are repeated until R'=R, the current proportion parameter to be optimized is used as the target proportion parameter, and the target proportion parameter and the target reservoir aperture are substituted into In the above equation, we can get different apertures r. i The aperture utilization ratio S(r i ), and then draw the aperture utilization ratio curve after fitting.

[0050] S130, determining a producing variation zone corresponding to the target area based on the aperture producing ratio curve, and determining a reservoir management strategy based on the producing variation zone.

[0051] The production variation zone can be understood as the interval where the production ratio curve changes after degassing. The reservoir management strategy can be a management method for the target area, such as plugging fractures, eliminating gas phase and other management strategies.

[0052] Specifically, based on the aperture production ratio curve, the production variation zone corresponding to the target area is determined, and based on the production variation zone, the reservoir management strategy is determined. It should be noted that according to the change trend of different aperture production ratio curves when the gas phase exists, it can be divided into three areas: difficult production area, production variation zone and production improvement zone. The difficult production area is an aperture area with a production ratio less than 0.01; the production variation zone is an aperture area where the aperture production ratio decreases when the gas phase exists, corresponding to the scope of gas phase plugging. The production improvement zone is an area where the aperture production ratio increases when the gas phase exists, corresponding to the scope of water breakthrough.

[0053] On the basis of the above technical solution, the mobilization variation zone corresponding to the target area is determined based on the aperture mobilization ratio curve, including: determining the aperture range interval in which the aperture mobilization ratio after degassing is less than the original aperture mobilization ratio based on the original aperture mobilization ratio curve and the aperture mobilization ratio curve after degassing, and using the aperture range interval as the mobilization variation zone.

[0054] Specifically, based on the original pore size utilization ratio curve and the post-degassing pore size utilization ratio curve, the pore size range interval in which the post-degassing pore size utilization ratio is less than the original pore size utilization ratio is determined, and the pore size range interval is used as the utilization variation zone. It can be understood that after obtaining the original pore size utilization ratio curve and the post-degassing pore size utilization ratio curve, the pore size range interval in which the utilization ratio is reduced after degassing treatment can be determined based on the above curves, and the pore size range interval is used as the utilization variation zone.

[0055] On the basis of the above technical solution, the reservoir management strategy is determined based on the production variation zone, including: if the production variation zone is located in a first preset aperture interval, the reservoir management strategy is determined to be plugging cracks; if the production variation zone is located in a second preset aperture interval, the reservoir management strategy is determined to be plugging cracks and eliminating meteorological influences; if the production variation zone is located in a third preset aperture interval, the reservoir management strategy is determined to eliminate meteorological influences.

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

[0057] Specifically, if the producing variation zone is located in the first preset aperture interval, the reservoir management strategy is determined to be plugging cracks; if the producing variation zone is located in the second preset aperture interval, the reservoir management strategy is determined to be plugging cracks and eliminating meteorological influences; if the producing variation zone is located in the third preset aperture interval, the reservoir management strategy is determined to eliminate meteorological influences. For example, if the aperture range of the "producing variation zone" is between 350 and 1200 μm, the corresponding main contradiction is that the injected water flows along the cracks, and the main management strategy should be plugging cracks. If the aperture range of the "producing variation zone" is between 700 and 1900 μm, the corresponding main contradiction is that the injected water flows along the cracks and the gas phase shields the matrix pores, and the main management strategy should be plugging cracks and eliminating the gas phase influence. If the aperture range of the "producing variation zone" is larger, 50 to 2100 μm, the corresponding main contradiction is that the gas phase shields the matrix pores, and the main management strategy should be to eliminate the gas phase influence.

[0058] The technical solution of the embodiment of the present invention obtains the original reservoir pore size corresponding to the target area, and determines the pore size area distribution ratio and the simulated recovery rate based on the original reservoir pore size, and then determines the pore size production 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, and determines the production variation zone corresponding to the target area based on the pore size production ratio curve, and finally determines the reservoir management strategy based on the production variation zone. Based on the above technical solution, the corresponding production variation zone is determined according to the pore size production ratio curve corresponding to the target area, and then the reservoir management strategy is determined based on the production variation zone, so as to realize the quantitative study of the effect of gas phase on different pore sizes after degassing in fractured pore carbonate reservoirs, evaluate the production potential of different areas and propose corresponding management strategies.

[0059] Embodiment 2

[0060] Figure 2 A flow chart of a method for determining a reservoir management strategy provided by an embodiment of the present invention. Based on the above embodiment, this embodiment further optimizes the above method for determining a reservoir management strategy. The specific implementation method can refer to the technical solution of this embodiment. Among them, the technical terms that are the same or corresponding to the above embodiment are not repeated here.

[0061] like Figure 2 The method of the embodiment of the present invention includes:

[0062] Acquiring parameters: Specifically, the original reservoir pore size r corresponding to the target area is acquired, and the pore size area distribution ratio p(r) and the simulated recovery factor R are determined based on the original reservoir pore size. 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, and then an experiment is conducted based on the microfluidic simulation model to obtain the pore size area distribution ratio and the simulated recovery factor corresponding to the target area. For example, the obtained parameters can be shown in Table 1:

[0063] Table 1

[0064]

[0065]

[0066] Determine the aperture utilization ratio curve: Specifically, select any parameter value from the preset ratio interval and use it as the ratio parameter to be optimized. Give the initial values ​​of parameters x1 and x2 as a1 and b1 respectively, and discretize the original reservoir aperture r into different apertures r1, r2...r N , and then substitute the target reservoir pore size into the production ratio formula In the above, the production ratios of the optimized apertures S(r1), S(r2)…S(r N ), and then determine the theoretical recovery factor R'=p(r1)×S(r1)+p(r2)×S(r2)+…+p(r N )×S(r N ), by comparing the theoretical recovery factor R' with the simulated recovery factor R, if R'≠R, then adjust x1=a2, x2=b2 based on the preset frame skipping step size, repeat the above verification steps until R'=R, take the current ratio parameter to be optimized as the target ratio parameter, and substitute the target ratio parameter and target reservoir pore size into In the above equation, we can get different apertures r. i The aperture utilization ratio S(r i ), and then draw the aperture production ratio curve after fitting. For example, based on the above parameters, the actual recovery rate corresponding to each target aperture can be obtained. Assuming x1 = 1900, x2 = 456.5, x1, x2 and the discretized aperture r are substituted into the aperture production ratio function to calculate the production ratio of different apertures. At this time, the aperture production ratio function 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 factor 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 factor R' and the simulated recovery factor R, since R' = R, the output parameters x1, x2 and the production ratio of different apertures are used to determine the original aperture production ratio curve, such as Figure 3 As shown, the pore size utilization ratio curve after degassing can be obtained by the same steps, as shown in Figure 4 shown.

[0074] Determine the production variation zone, and determine the reservoir management strategy based on the production variation zone: Specifically, after obtaining the original aperture production ratio curve and the aperture production ratio curve after degassing, the aperture range interval where the production ratio is reduced after degassing can be determined based on the above curves, and the aperture range interval is used as the production variation zone. If the aperture range of the "production variation zone" is between 350 and 1200 μm, the corresponding main contradiction is the injection of water along the cracks, and the main management strategy should be to plug the cracks. If the aperture range of the "production variation zone" is between 700 and 1900 μm, the corresponding main contradiction is the injection of water along the cracks and gas shielding of matrix pores. The main management strategy should be to plug the cracks and eliminate the influence of the gas phase. If the aperture range of the "production variation zone" is larger, 50 to 2100 μm, the corresponding main contradiction is the gas shielding of matrix pores, and the main management strategy should be to eliminate the influence of the gas phase. For example, based on Figure 4From the curve, it can be determined that the utilization ratio of matrix pores with pore sizes of 700-1900μm is significantly reduced, and the water channeling of pores with pore sizes of 1900-2450μm is serious, indicating that the potential after degassing is mainly distributed in the medium with pore sizes of 700-1900μm. This is mainly because the gas phase has a shielding effect on the interface between the fracture and the matrix, making it difficult for the injected water to enter the pores in the matrix, resulting in poor utilization of matrix pores with larger pore sizes, and the injected water is more likely to flow along the fractures. For this type of well group, it is necessary to plug the pores of 1900-2450μm and strengthen the utilization of the medium with pore sizes of 700-1900μm. The gel with excellent ability to plug fractures in small doses should be used as the first plug, and the microspheres with larger dosage should be used as the second plug, and the surfactant should be used to adjust the displacement to reduce the gas-liquid interface tension and eliminate the influence of gas.

[0075] The technical solution of the embodiment of the present invention obtains the original reservoir pore size corresponding to the target area, and determines the pore size area distribution ratio and the simulated recovery rate based on the original reservoir pore size, and then determines the pore size production 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, and determines the production variation zone corresponding to the target area based on the pore size production ratio curve, and finally determines the reservoir management strategy based on the production variation zone. Based on the above technical solution, the corresponding production variation zone is determined according to the pore size production ratio curve corresponding to the target area, and then the reservoir management strategy is determined based on the production variation zone, so as to realize the quantitative study of the effect of gas phase on different pore sizes after degassing in fractured pore carbonate reservoirs, evaluate the production potential of different areas and propose corresponding management strategies.

[0076] Embodiment 3

[0077] Figure 5 The structure block diagram of a device for determining an oil reservoir management strategy provided by an embodiment of the present invention is shown in FIG. Figure 5 As shown, the device includes: a simulation data determination module 510, a mobilization 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 determine the pore size area distribution ratio and the simulated recovery factor based on the original reservoir pore size;

[0079] A production ratio determination module 520 is used to determine an pore size production ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery factor, wherein the pore size production ratio curve includes an original pore size production ratio curve and a degassed pore size production ratio curve;

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

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

[0082] On the basis of the above technical solution, the production ratio determination module is used to determine the ratio parameters to be optimized based on a preset ratio interval; discretize the original reservoir pore size based on a preset discrete step length to determine at least one target reservoir pore size; determine the pore size production ratio curve based on the ratio parameters to be optimized, the target reservoir pore size, the pore size distribution area and the simulated recovery rate.

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

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

[0085] On the basis of the above technical solution, the governance strategy determination module includes: a mobilization variation zone determination unit, which is used to determine the aperture range interval in which the post-degassing aperture mobilization ratio is less than the original aperture mobilization ratio based on the original aperture mobilization ratio curve and the post-degassing aperture mobilization ratio curve, and use the aperture range interval as the mobilization variation zone.

[0086] On the basis of the above technical solution, the control strategy determination module is used to determine that the reservoir control strategy is to plug cracks if the mobilization variation zone is located in the first preset aperture interval; if the mobilization variation zone is located in the second preset aperture interval, the reservoir control strategy is determined to plug cracks and eliminate meteorological influences; if the mobilization variation zone is located in the third preset aperture interval, the reservoir control strategy is determined to eliminate meteorological influences; wherein the third preset interval includes the second preset interval; and the second preset interval includes the first preset interval.

[0087] The technical solution of the embodiment of the present invention obtains the original reservoir pore size corresponding to the target area, and determines the pore size area distribution ratio and the simulated recovery rate based on the original reservoir pore size, and then determines the pore size production 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, and determines the production variation zone corresponding to the target area based on the pore size production ratio curve, and finally determines the reservoir management strategy based on the production variation zone. Based on the above technical solution, the corresponding production variation zone is determined according to the pore size production ratio curve corresponding to the target area, and then the reservoir management strategy is determined based on the production variation zone, so as to realize the quantitative study of the effect of gas phase on different pore sizes after degassing in fractured pore carbonate reservoirs, evaluate the production potential of different areas and propose corresponding management strategies.

[0088] The apparatus for determining a reservoir management strategy provided in an embodiment of the present invention can execute the method for determining a reservoir management strategy provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0089] Embodiment 4

[0090] Figure 6 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment 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 processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

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

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

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

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

[0095] Various implementations 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 chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0096] Computer programs for implementing 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, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

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

[0098] To provide interaction with a user, the systems and techniques described herein may 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 a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0099] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0100] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0101] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0102] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining an oil reservoir management strategy, characterized in that: include: Acquire the original reservoir pore size corresponding to the target area, and determine the pore size area distribution ratio and simulated recovery factor based on the original reservoir pore size; Determining an pore size production ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery factor, wherein the pore size production ratio curve includes an original pore size production ratio curve and a degassed pore size production ratio curve; A producing variation zone corresponding to the target area is determined based on the pore size producing ratio curve, and a reservoir management strategy is determined based on the producing variation zone.

2. The method according to claim 1, characterized in that The method of determining the pore size distribution ratio and the simulated recovery factor based on the reservoir pore size includes: Determining a microfluidic simulation model corresponding to the target area based on the original reservoir pore size; The pore area distribution ratio and the simulated recovery factor corresponding to the target area are determined based on the microfluidic simulation model.

3. The method according to claim 1, characterized in that The step of determining the pore size production ratio curve corresponding to the target area based on the reservoir pore size, the pore size distribution area and the simulated recovery factor includes: Determine the ratio parameter to be optimized based on the preset ratio interval; Discretizing the original reservoir pore size based on a preset discrete step length to determine at least one target reservoir pore size; The pore size utilization ratio 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 factor.

4. The method according to claim 3, characterized in that The step 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 factor comprises: Determining the pore size production ratio to be optimized corresponding to the pore size of the target reservoir based on the ratio parameter to be optimized; The theoretical recovery factor is determined based on the pore size production ratio to be optimized and the pore size area distribution ratio, and the pore size production ratio curve is determined based on the theoretical recovery factor and the simulated recovery factor.

5. The method according to claim 4, characterized in that The determining of the pore size production ratio curve based on the theoretical recovery factor and the simulated recovery factor comprises: If the theoretical recovery factor does not match the simulated recovery factor, adjusting the ratio parameter to be optimized based on a preset adjustment step, and updating the theoretical recovery factor based on the adjusted ratio parameter to be optimized; If the theoretical recovery factor matches the simulated recovery factor, the current ratio parameter to be optimized is used as the target ratio parameter, and an aperture production ratio curve corresponding to the target reservoir aperture is determined based on the target ratio parameter.

6. The method according to claim 1, characterized in that The determining of the producing variation area corresponding to the target area based on the aperture producing ratio curve comprises: Based on the original pore size utilization ratio curve and the degassed pore size utilization ratio curve, an pore size range interval in which the degassed pore size utilization ratio is smaller than the original pore size utilization ratio is determined, and the pore size range interval is used as the utilization variation zone.

7. The method according to claim 1, characterized in that The determining of the reservoir management strategy based on the producing variation zone includes: If the producing variation zone is located in the first preset aperture interval, the reservoir management strategy is determined to be plugging fractures; If the producing variation zone is located in the second preset aperture interval, the reservoir management strategy is determined to be plugging fractures and eliminating meteorological influences; If the producing variation zone is located in the third preset aperture interval, determining the reservoir management strategy to eliminate meteorological influence; The third preset interval includes the second preset interval; and the second preset interval includes the first preset interval.

8. A device for determining an oil reservoir management strategy, characterized in that: include: A simulation data determination module is used to obtain the original reservoir pore size corresponding to the target area, and determine the pore size area distribution ratio and the simulated recovery factor based on the original reservoir pore size; A production ratio determination module, used to determine an pore size production ratio curve corresponding to the target area based on the original reservoir pore size, the pore size area distribution ratio and the simulated recovery factor, wherein the pore size production ratio curve includes an original pore size production ratio curve and a degassed pore size production ratio curve; The control strategy determination module is used to determine the production variation zone corresponding to the target area based on the aperture production ratio curve, and determine the reservoir control strategy based on the production variation zone.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the method for determining a reservoir management strategy according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining a reservoir management strategy according to any one of claims 1 to 7 when executed.

Images