An oil and gas well seepage law electrical simulation method, device, equipment and storage medium

Abstract

The application discloses an oil and gas well seepage law electric simulation method, device, equipment and storage medium. The method comprises the following steps: acquiring first logging parameters corresponding to a first oil and gas well to be simulated, and determining permeability distribution information corresponding to a horizontal well section in the first oil and gas well according to the first logging parameters. According to the permeability distribution information and each first similarity coefficient, a water and electricity simulation assembly for constructing a water and electricity simulation device is prepared, and the water and electricity simulation assembly is assembled to obtain the water and electricity simulation device. An electric simulation experiment is carried out through the water and electricity simulation device, water and electricity simulation parameters are obtained, and the seepage law of the first oil and gas well is determined according to the water and electricity simulation parameters and each second similarity coefficient. The application can simulate the non-homogeneous permeability difference, improve the dynamic seepage simulation capability, and further realize the accurate analysis of the seepage law of the non-homogeneous formation in the near-wellbore zone of the oil and gas well.

Description

Technical Field

[0001] This invention relates to the field of mine production capacity simulation technology, and in particular to an electrical simulation method, apparatus, equipment and storage medium for oil and gas well seepage patterns. Background Technology

[0002] In oil and gas field development, analyzing reservoir fluid flow behavior and development effectiveness is crucial for enhancing oil recovery. Current mainstream technologies rely on numerical simulation, using mathematical models to predict fluid migration patterns.

[0003] However, this method is limited by factors such as reservoir heterogeneity, fluid type, and development approach. Its accuracy drops significantly under complex seepage conditions (such as fractured zones or abrupt permeability changes), making it difficult to accurately reflect the dynamic seepage characteristics of the near-wellbore zone. In particular, for heterogeneous formations, the simplification assumptions of the mathematical model lead to large deviations between simulation results and reality, limiting the optimization effect of development schemes.

[0004] To compensate for the limitations of numerical simulation, electrical simulation experiments have been introduced due to their simple structure and low cost. Traditional methods use copper sulfate solutions to simulate formations and analyze steady-state productivity by leveraging the similarity between current distribution and seepage patterns. However, this method has a fundamental limitation: it is only applicable to homogeneous formations. This is because the solution has uniform conductivity and cannot simulate sweet spots or low-permeability zones with varying permeability. Furthermore, the electrolyte solution is prone to diffusion, leading to conductivity drift, and the conductivity does not match the reservoir mobility well, affecting the reliability of the parameters.

[0005] To address the shortcomings of traditional methods, there is an urgent need for a novel physical simulation method that can accurately characterize heterogeneous seepage, support dynamic analysis, and improve experimental stability. Summary of the Invention

[0006] This invention provides an electrical simulation method, device, equipment, and storage medium for oil and gas well seepage patterns, in order to simulate heterogeneous permeability differences, improve dynamic seepage simulation capabilities, and thereby achieve precise analysis of seepage patterns in heterogeneous formations near the wellbore of oil and gas wells.

[0007] According to one aspect of the present invention, an electrical simulation method for the seepage characteristics of oil and gas wells is provided. The method includes:

[0008] Obtain the first logging parameters corresponding to the first oil and gas well to be simulated, and determine the permeability distribution information corresponding to the horizontal section in the first oil and gas well based on the first logging parameters. The permeability distribution information includes the regional permeability corresponding to each sweet spot in the horizontal section.

[0009] Based on the permeability distribution information and each first similarity coefficient, a hydroelectric simulation component for constructing a hydroelectric simulation device is made, and the hydroelectric simulation component is assembled to obtain a hydroelectric simulation device. The hydroelectric simulation component includes at least a copper wire component, a gel component with different conductivity, and a copper strip component.

[0010] An electrical simulation experiment is conducted using the aforementioned hydroelectric simulation device to obtain hydroelectric simulation parameters. Based on these parameters and various second similarity coefficients, the seepage pattern of the first oil and gas well is determined.

[0011] According to another aspect of the present invention, an electrical simulation device for oil and gas well seepage patterns is provided. The device includes:

[0012] The logging parameter analysis module is used to obtain the first logging parameters corresponding to the first oil and gas well to be simulated, and to determine the permeability distribution information corresponding to the horizontal well section in the first oil and gas well based on the first logging parameters. The permeability distribution information includes the regional permeability corresponding to each sweet spot in the horizontal well section.

[0013] The simulation device construction module is used to fabricate hydroelectric simulation components for constructing a hydroelectric simulation device based on the permeability distribution information and each first similarity coefficient, and to assemble the hydroelectric simulation components to obtain a hydroelectric simulation device. The hydroelectric simulation components include at least copper wire components, gel components with different conductivity, and copper strip components.

[0014] The simulation parameter determination module is used to conduct an electrical simulation experiment through the hydroelectric simulation device to obtain hydroelectric simulation parameters, and to determine the seepage law of the first oil and gas well based on the hydroelectric simulation parameters and each second similarity coefficient.

[0015] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] 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 oil and gas well seepage law electrical simulation method according to any embodiment of the present invention.

[0019] 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 electrical simulation method for oil and gas well seepage laws according to any embodiment of the present invention.

[0020] The technical solution of this invention involves acquiring first logging parameters corresponding to a first oil and gas well to be simulated, and determining permeability distribution information corresponding to the horizontal section of the first oil and gas well based on the first logging parameters. The permeability distribution information includes the regional permeability corresponding to sweet spots in each formation within the horizontal section. Based on the permeability distribution information and each first similarity coefficient, a hydroelectric simulation component for constructing a hydroelectric simulation device is fabricated, and the hydroelectric simulation component is assembled to obtain a hydroelectric simulation device. The hydroelectric simulation component includes at least a copper wire component, a gel component with different conductivity, and a copper strip component. An electrical simulation experiment is conducted using the hydroelectric simulation device to obtain hydroelectric simulation parameters, and the seepage law of the first oil and gas well is determined based on the hydroelectric simulation parameters and each second similarity coefficient. This invention is based on the principle of similarity between electric field and seepage field, utilizing the conductivity of different gel components to simulate the permeability of different geological regions, achieving the purpose of simulating heterogeneous permeability differences, realizing high-precision simulation of heterogeneous formations, and thus achieving precise analysis of the seepage law of heterogeneous formations in the near-wellbore zone of oil and gas wells.

[0021] 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

[0022] 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.

[0023] Figure 1 This is a flowchart of an electrical simulation method for seepage patterns in oil and gas wells provided according to an embodiment of the present invention;

[0024] Figure 2 This is a schematic diagram of gel distribution provided according to an embodiment of the present invention;

[0025] Figure 3 This is a physical diagram of the hydroelectric simulation device provided according to an embodiment of the present invention;

[0026] Figure 4 This is a circuit diagram for measuring seepage patterns according to an embodiment of the present invention;

[0027] Figure 5 This is a circuit diagram for measuring production capacity patterns according to an embodiment of the present invention;

[0028] Figure 6 This is a comparison chart of experimental results on seepage patterns provided in an embodiment of the present invention;

[0029] Figure 7 This is a structural diagram of an electrical simulation device for oil and gas well seepage patterns provided in an embodiment of the present invention;

[0030] Figure 8 This is a schematic diagram of the structure of an electronic device for implementing the electrical simulation method for oil and gas well seepage patterns according to embodiments of the present invention. Detailed Implementation

[0031] 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.

[0032] 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.

[0033] Figure 1 This is a flowchart illustrating an electrical simulation method for oil and gas well seepage patterns according to an embodiment of the present invention. This embodiment is applicable to high-precision seepage pattern simulation of heterogeneous formations. The method can be executed by an electrical simulation device for oil and gas well seepage patterns, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0034] S101. Obtain the first logging parameters corresponding to the first oil and gas well to be simulated, and determine the permeability distribution information corresponding to the horizontal well section in the first oil and gas well based on the first logging parameters.

[0035] Here, "first oil and gas well" can refer to the oil and gas well to be subjected to electrical simulation. "First logging parameters" can refer to the logging parameters of the first oil and gas well. "Permeability parameters" can refer to the permeability information of the horizontal well section of the first oil and gas well at various locations. For example, the permeability distribution information includes the regional permeability corresponding to each formation sweet spot in the horizontal well section.

[0036] Specifically, during the production process of the first oil and gas well, the first logging parameters of the first oil and gas well are obtained. Based on the first logging parameters, the permeability of the horizontal section of the first oil and gas well is analyzed, thereby obtaining the permeability distribution information corresponding to the horizontal section of the first oil and gas well.

[0037] For example, determining the permeability distribution information corresponding to the horizontal well section in the first oil and gas well based on the first logging parameters includes: determining the formation sweet spot distribution information of the horizontal well section in the first oil and gas well based on the first logging parameters; for each formation sweet spot, performing a weighted average of the permeability of each sub-segment within the formation sweet spot to obtain the regional permeability of the formation sweet spot; and determining the permeability distribution information corresponding to the horizontal well section in the first oil and gas well based on the regional order, regional length, and regional permeability of each formation sweet spot.

[0038] Specifically, based on the first logging parameters, the distribution of heterogeneous formations in the first oil and gas well is analyzed to determine the specific distribution of formation sweet spots in the horizontal well section. Then, for each formation sweet spot, a weighted average permeability is calculated based on the permeability of each sub-segment within the sweet spot, and this is used as the regional permeability of the formation sweet spot. Finally, based on the regional sequence, length, and permeability corresponding to each formation sweet spot, the permeability distribution information corresponding to the horizontal well section in the first oil and gas well is determined.

[0039] Table 1 is a table showing the distribution of simulated well properties along the borehole provided in this embodiment of the invention. As shown in Table 1, the sweet spot type is different at different locations in the horizontal well section, and the permeability of different areas is also different. The horizontal well section of this first oil and gas well is located in a heterogeneous formation.

[0040]

[0041] Table 1

[0042] S102. Based on the permeability distribution information and each first similarity coefficient, a hydroelectric simulation component for constructing a hydroelectric simulation device is made, and the hydroelectric simulation component is assembled to obtain a hydroelectric simulation device.

[0043] The first similarity coefficient can refer to the mapping ratio between some reservoir parameters and some hydroelectric simulation parameters of the first oil and gas well. The first similarity coefficient is mainly used to convert the reservoir parameters of the first oil and gas well into hydroelectric simulation parameters.

[0044] For example, the hydroelectric simulation component includes at least a copper wire component, a gel component with different conductivity levels, and a copper strip component. The gel component is composed of copper sulfate (CuSO4) gel, and the conductivity of the gel component is varied by adjusting the concentration of the added copper sulfate solution. It should be noted that the gel components with different conductivity levels are used to simulate the different permeabilities at various locations in the horizontal section of the first oil and gas well. The copper wire component is used to simulate the production well, and the copper strip simulates the supply boundary (e.g., the injection well or outer boundary). The gel components can create a clear contrast in seepage through different concentrations, viscosities, and colors, facilitating the visual analysis of permeability differences in heterogeneous formations.

[0045] Specifically, the permeability distribution information is mapped to various first similarity coefficients to determine the geometric information of the required copper wire and copper strip components, as well as the gel components with different conductivity levels. The obtained components are then assembled according to preset rules to obtain a hydroelectric simulation device.

[0046] It should be noted that, in the technical solutions of the embodiments of the invention, the similarity coefficient includes a first similarity coefficient and a second similarity coefficient. The first similarity coefficient includes a flow similarity coefficient and a geometric similarity coefficient; the second similarity coefficient includes a pressure similarity coefficient, a resistance similarity coefficient, and a flow rate similarity coefficient.

[0047] The similarity coefficient is determined by the proportional relationship between the current, voltage, and their distribution in the electric field and the flow rate, pressure, and their distribution in the steady seepage field. Table 2 shows the similarity coefficients for the hydroelectric simulation experiment provided in this embodiment of the invention. The similarity coefficients are shown in Table 2.

[0048]

[0049] Table 2

[0050] Among them, C L It refers to the geometric similarity coefficient, L m This refers to the length of the copper wire, L. r This refers to the length of the horizontal segment; C p This refers to the pressure similarity coefficient, (ΔU). m This refers to voltage (ΔP). r This refers to the differential pressure parameter; C r This refers to the drag similarity coefficient, R. m It refers to resistance, (R) f ) r This refers to seepage resistance; C q It refers to the flow similarity coefficient, I m It refers to the current, Q r This refers to gas production; C ρ This refers to the flow similarity coefficient, ρ mThis refers to electrical conductivity (k / μ). r It refers to penetration rate.

[0051] In other words, calculating and determining the similarity coefficients based on actual production data and experimental model parameters can provide a parameter basis for further determining other model parameters.

[0052] For example, the step of fabricating a hydroelectric simulation component for constructing a hydroelectric simulation device based on the permeability distribution information and each first similarity coefficient includes: for each formation sweet spot, determining the length of the copper wire component corresponding to each formation sweet spot in the simulated production well based on the regional length of the formation sweet spot and the geometric similarity coefficient; determining the length information of the copper strip component corresponding to the simulated supply boundary based on the copper wire component length information; and for each formation sweet spot, determining the copper sulfate solution concentration corresponding to the gel component used to simulate the permeability of the formation sweet spot based on the regional permeability of the formation sweet spot and the flow similarity coefficient.

[0053] The conductivity of the gel component is used to simulate the permeability of the sweet spot zones in each stratum.

[0054] Specifically, for each formation sweet spot, the length of the copper wire assembly corresponding to each formation sweet spot in the simulated production well is determined based on the product of the region length of the formation sweet spot and the geometric similarity coefficient. This allows for the determination of the total length of the copper wire assembly corresponding to the horizontal section of the first oil and gas well. As shown in Table 1, after determining the region length of each formation sweet spot, the length of the copper wire assembly corresponding to each formation sweet spot is calculated based on the geometric similarity coefficient.

[0055] Furthermore, based on the total length information of the copper wire assembly, the length information of the copper strip assembly corresponding to the simulated supply boundary is determined. When the width of the supply boundary needs to be slightly larger than the total length of the copper wire assembly, and given the shape of the supply boundary, the length information of the copper strip assembly can be determined.

[0056] Based on the regional permeability of the sweet spot regions in each stratum and the flow similarity coefficient, the required copper sulfate solution concentration for simulating permeability is calculated. In other words, copper sulfate gels with different conductivity levels are prepared to simulate the permeability of the sweet spot regions, thereby obtaining the gel components. As shown in Table 1, the required conductivity of the gel components can be determined based on the permeability and flow similarity coefficient, and the copper sulfate solution concentration can then be configured accordingly.

[0057] For example, assembling the hydroelectric simulation components to obtain a hydroelectric simulation device includes:

[0058] The copper strip assembly is fixed around the inner side of the electrolytic cell to form a rectangular storage space, which is used to simulate the water injection supply boundary of the first oil and gas well.

[0059] The copper wire assembly is laid horizontally at the bottom center of the rectangular storage space to simulate the production well of the first oil and gas well.

[0060] Gel components corresponding to various copper sulfate solution concentrations were filled into the rectangular storage space according to the formation properties to simulate the permeability of the first oil and gas well.

[0061] In this invention, the electrolytic cell is a square plexiglass container with a length, width, and height of 50cm, 50cm, and 15cm, respectively. A thin copper strip is placed inside to simulate various (circular, square, and linear) supply boundaries. Because the CuSO4 gel has a uniform and linear resistivity, does not chemically react with the electrodes, and its properties do not change after energization, and can be combined and assembled according to different data, an appropriate concentration of CuSO4 gel is used to simulate the gas layer, the electrolytic cell to simulate the closed boundary, the copper strip to simulate the supply boundary, and copper wire to simulate the gas well casing.

[0062] Figure 2 This is a schematic diagram of gel distribution provided in an embodiment of the present invention. Figure 3 This is a physical diagram of the hydroelectric simulation device provided in an embodiment of the present invention. Figure 2 and Figure 3 As shown, copper strip assemblies are arranged around the inner side of the electrolytic cell to form a rectangular storage space, which is used to simulate the water injection supply boundary of the first oil and gas well. Copper wire assembly 7 is arranged horizontally at the bottom center of the rectangular storage space to simulate the production well of the first oil and gas well. Gel assemblies 1-6 containing different concentrations of copper sulfate solution are filled into the rectangular storage space according to the path properties distribution along the horizontal well, to simulate the permeability at different locations of the first oil and gas well.

[0063] For example, filling the rectangular storage space with gel components corresponding to various copper sulfate solution concentrations according to the formation properties includes:

[0064] For each sweet spot region of the formation, a target gel component corresponding to the regional permeability of the sweet spot region is determined, and a target copper wire region corresponding to the regional length of the sweet spot region is determined in the copper wire component; the target gel component is arranged in the target copper wire region, so as to fill the rectangular storage space with gel components corresponding to each copper sulfate solution concentration according to the formation properties.

[0065] Specifically, based on the regional permeability of each formation sweet spot, the target gel component corresponding to that formation sweet spot is determined. Simultaneously, based on the regional length of each formation sweet spot, the target copper wire region corresponding to that formation sweet spot is determined. The target gel components are then deployed within the target copper wire regions, thereby filling the rectangular storage space with gel components corresponding to various copper sulfate solution concentrations according to the formation properties.

[0066] S103. Conduct an electrical simulation experiment using the hydroelectric simulation device to obtain hydroelectric simulation parameters, and determine the seepage law of the first oil and gas well based on the hydroelectric simulation parameters and each second similarity coefficient.

[0067] For example, the hydroelectric simulation parameters may include voltage parameters, current parameters, and resistance parameters. Each second similarity coefficient also refers to the mapping ratio between some reservoir parameters and some hydroelectric simulation parameters of the first oil and gas well. The difference between the second and first similarity coefficients lies in the types of similarity coefficients they contain. The second similarity coefficients are mainly used to convert the hydroelectric simulation parameters into reservoir parameters of the first oil and gas well.

[0068] An external power supply is applied to a hydroelectric simulation device to generate a potential difference, thereby simulating permeability at different locations. Electrical simulation experiments are conducted on the hydroelectric simulation device, and voltage parameters at different locations and overall current parameters are measured to obtain hydroelectric simulation parameters. These parameters are then mapped inversely to various second similarity coefficients to obtain the reservoir parameters of the first oil and gas well. Based on these reservoir parameters, the seepage characteristics of the first oil and gas well can be analyzed.

[0069] For example, the step of conducting an electrical simulation experiment using the hydroelectric simulation device to obtain hydroelectric simulation parameters includes: connecting one end of the copper wire assembly in the hydroelectric simulation device to the negative terminal of a preset power supply, and connecting the copper strip assembly in the hydroelectric simulation device to the positive terminal of the preset power supply; connecting the positive terminal of a voltage measuring device to the other end of the copper wire assembly, and connecting the negative terminal of the voltage measuring device to a sliding measuring point, wherein the sliding measuring point slides on the copper wire assembly; connecting one end of a current measuring device to the copper strip assembly in the hydroelectric simulation device, and connecting the other end of the current measuring device to the positive terminal of the preset power supply; determining a first voltage parameter at each position of the copper wire assembly using the voltage measuring device, and determining a first current parameter of the hydroelectric simulation device using the current measuring device.

[0070] Figure 4 This is a circuit diagram for measuring seepage patterns provided in an embodiment of the present invention. Figure 5 A circuit diagram for measuring production capacity patterns provided in an embodiment of the present invention. (See diagram below.) Figure 4 As shown, one end (left side) of the copper wire assembly 10 in the hydroelectric simulation device is connected to the negative terminal of the preset power supply 8, and any point of the copper strip assembly 9 is connected to the positive terminal of the preset power supply 8. The positive terminal of the voltage measuring device 12 is connected to the other end (right side) of the copper wire assembly 10, and the negative terminal of the voltage measuring device 12 is connected to the sliding measuring point 11 on the copper wire assembly 10 to measure the voltage information at different positions of the copper wire assembly 10.

[0071] like Figure 5 As shown, one end of the current measuring device 13 is connected to the copper strip assembly 9 in the hydroelectric simulation device, and the other end of the current measuring device 13 is connected to the positive terminal of the preset power supply 8.

[0072] The voltage parameter at different locations of the copper wire assembly was measured using a voltage measuring device, and the current parameter of the hydroelectric simulation device was measured using a current measuring device.

[0073] For example, each of the second similarity coefficients includes a pressure similarity coefficient, a resistance similarity coefficient, and a flow rate similarity coefficient; determining the seepage pattern of the first oil and gas well based on the hydroelectric simulation parameters and each of the second similarity coefficients includes: determining the pressure parameters of the first oil and gas well based on the first voltage parameters and the pressure similarity coefficient; determining the gas production parameters of the first oil and gas well based on the first current parameters and the flow rate similarity coefficient; determining the first resistance parameters based on the first voltage parameters and the first current parameters, and determining the seepage resistance of each horizontal section of the first oil and gas well based on the first resistance parameters and the resistance similarity coefficient; and analyzing and determining the seepage pattern of the first oil and gas well based on the pressure parameters, the seepage resistance, and the gas production parameters.

[0074] Specifically, the product of the first voltage parameter and the pressure similarity coefficient is determined as the pressure parameter of the first oil and gas well. The product of the first current parameter and the flow rate similarity coefficient is determined as the gas production parameter of the first oil and gas well. The quotient of the first voltage parameter and the first current parameter is used to determine the first resistance parameter, and the product of the first resistance parameter and the resistance similarity coefficient is determined as the seepage resistance of each horizontal section of the first oil and gas well. Furthermore, based on the pressure parameter, seepage resistance, and gas production parameter, the seepage pattern of the first oil and gas well is further analyzed and determined.

[0075] It should be noted that the present invention can also directly determine the seepage pattern of the first oil and gas well based on the hydroelectric simulation parameters. Figure 6 A comparison chart of experimental results on seepage patterns provided in an embodiment of the present invention. Figure 6 (a) in the figure represents the seepage law in a traditional simulation experiment. Figure 6 (b) in the figure is an experimental diagram of the hydroelectric simulation seepage law provided in an embodiment of the present invention. Figure 6 As shown in (b) of the present invention, the hydroelectric simulation method provided in this embodiment can clearly simulate the near-well seepage characteristics under heterogeneous strata, making the experimental results more consistent with the actual situation.

[0076] The technical solution of this invention involves acquiring first logging parameters corresponding to a first oil and gas well to be simulated, and determining permeability distribution information corresponding to the horizontal section of the first oil and gas well based on the first logging parameters. The permeability distribution information includes the regional permeability corresponding to sweet spots in each formation within the horizontal section. Based on the permeability distribution information and each first similarity coefficient, a hydroelectric simulation component for constructing a hydroelectric simulation device is fabricated, and the hydroelectric simulation component is assembled to obtain a hydroelectric simulation device. The hydroelectric simulation component includes at least a copper wire component, a gel component with different conductivity, and a copper strip component. An electrical simulation experiment is conducted using the hydroelectric simulation device to obtain hydroelectric simulation parameters, and the seepage law of the first oil and gas well is determined based on the hydroelectric simulation parameters and each second similarity coefficient. This invention is based on the principle of similarity between electric field and seepage field, utilizing the conductivity of different gel components to simulate the permeability of different geological regions, achieving the purpose of simulating heterogeneous permeability differences, realizing high-precision simulation of heterogeneous formations, and thus achieving precise analysis of the seepage law of heterogeneous formations in the near-wellbore zone of oil and gas wells.

[0077] Figure 7 This is a schematic diagram of the structure of an electrical simulation device for oil and gas well seepage patterns provided in an embodiment of the present invention. Figure 7 As shown, the device includes:

[0078] The logging parameter analysis module 701 is used to acquire the first logging parameters corresponding to the first oil and gas well to be simulated, and to determine the permeability distribution information corresponding to the horizontal well section in the first oil and gas well based on the first logging parameters. The permeability distribution information includes the regional permeability corresponding to each sweet spot in the horizontal well section.

[0079] The simulation device construction module 702 is used to manufacture hydroelectric simulation components for constructing a hydroelectric simulation device based on the permeability distribution information and each first similarity coefficient, and to assemble the hydroelectric simulation components to obtain a hydroelectric simulation device. The hydroelectric simulation components include at least copper wire components, gel components with different conductivity, and copper strip components.

[0080] The simulation parameter determination module 703 is used to conduct an electrical simulation experiment through the hydroelectric simulation device to obtain hydroelectric simulation parameters, and to determine the seepage law of the first oil and gas well based on the hydroelectric simulation parameters and each second similarity coefficient.

[0081] The technical solution of this invention involves acquiring first logging parameters corresponding to a first oil and gas well to be simulated, and determining permeability distribution information corresponding to the horizontal section of the first oil and gas well based on the first logging parameters. The permeability distribution information includes the regional permeability corresponding to sweet spots in each formation within the horizontal section. Based on the permeability distribution information and each first similarity coefficient, a hydroelectric simulation component for constructing a hydroelectric simulation device is fabricated, and the hydroelectric simulation component is assembled to obtain a hydroelectric simulation device. The hydroelectric simulation component includes at least a copper wire component, a gel component with different conductivity, and a copper strip component. An electrical simulation experiment is conducted using the hydroelectric simulation device to obtain hydroelectric simulation parameters, and the seepage law of the first oil and gas well is determined based on the hydroelectric simulation parameters and each second similarity coefficient. This invention is based on the principle of similarity between electric field and seepage field, utilizing the conductivity of different gel components to simulate the permeability of different geological regions, achieving the purpose of simulating heterogeneous permeability differences, realizing high-precision simulation of heterogeneous formations, and thus achieving precise analysis of the seepage law of heterogeneous formations in the near-wellbore zone of oil and gas wells.

[0082] Optional, the logging parameter analysis module 701 is specifically used for:

[0083] Based on the first logging parameters, determine the formation sweet spot distribution information of the horizontal well section in the first oil and gas well;

[0084] For each sweet spot region of the formation, the permeability of each sub-segment within the sweet spot region is weighted and averaged to obtain the regional permeability of the sweet spot region.

[0085] Based on the regional sequence, length, and permeability of each formation sweet spot, the permeability distribution information of the horizontal well section in the first oil and gas well is determined.

[0086] Optionally, each of the first similarity coefficients includes a flow similarity coefficient and a geometric similarity coefficient; the simulation device construction module 702 is used for:

[0087] For each formation sweet spot, the length of the copper wire assembly corresponding to each formation sweet spot in the simulated production well is determined based on the region length of the formation sweet spot and the geometric similarity coefficient.

[0088] Based on the copper wire assembly length information, determine the copper strip assembly length information used to simulate the supply boundary;

[0089] For each formation sweet spot, the concentration of copper sulfate solution corresponding to the gel component used to simulate the permeability of the formation sweet spot is determined based on the regional permeability of the formation sweet spot and the flow similarity coefficient. The permeability of each formation sweet spot is simulated by the conductivity of the gel component.

[0090] Optionally, the simulation device building module 702 is also used for:

[0091] The copper strip assembly is fixed around the inner side of the electrolytic cell to form a rectangular storage space, which is used to simulate the water injection supply boundary of the first oil and gas well.

[0092] The copper wire assembly is horizontally arranged at the bottom center of the rectangular storage space to simulate the production well of the first oil and gas well.

[0093] Gel components corresponding to various copper sulfate solution concentrations were filled into the rectangular storage space according to the formation properties to simulate the permeability of the first oil and gas well.

[0094] Optionally, the simulation device building module 702 is also used for:

[0095] For each sweet spot region of the formation, a target gel component corresponding to the regional permeability of the sweet spot region is determined, and a target copper wire region corresponding to the regional length of the sweet spot region in the copper wire component is determined.

[0096] The target gel components are arranged in the target copper wire area, so that the gel components corresponding to each copper sulfate solution concentration are filled into the rectangular storage space according to the formation properties.

[0097] Optionally, the simulation parameter determination module 703 is used for:

[0098] Connect one end of the copper wire assembly in the hydroelectric simulation device to the negative terminal of the preset power supply, and connect the copper strip assembly in the hydroelectric simulation device to the positive terminal of the preset power supply.

[0099] The positive terminal of the voltage measuring device is connected to the other end of the copper wire assembly, and the negative terminal of the voltage measuring device is connected to the sliding measuring point, wherein the sliding measuring point slides on the copper wire assembly;

[0100] Connect one end of the current measuring device to the copper strip assembly in the hydroelectric simulation device, and connect the other end of the current measuring device to the positive terminal of the preset power supply.

[0101] The voltage measuring device determines the first voltage parameters at each location of the copper wire assembly, and the current measuring device determines the first current parameters of the hydroelectric simulation device.

[0102] Optionally, the second similarity coefficients include pressure similarity coefficient, resistance similarity coefficient, and flow rate similarity coefficient; the simulation parameter determination module 703 is further used for:

[0103] The pressure parameters of the first oil and gas well are determined based on the first voltage parameter and the pressure similarity coefficient.

[0104] Based on the first current parameter and the flow similarity coefficient, the gas production parameters of the first oil and gas well are determined;

[0105] Based on the first voltage parameter and the first current parameter, the first resistance parameter is determined, and based on the first resistance parameter and the resistance similarity coefficient, the seepage resistance of each horizontal section of the first oil and gas well is determined.

[0106] Based on the pressure parameters, the seepage resistance, and the gas production parameters, the seepage pattern of the first oil and gas well is analyzed and determined.

[0107] The oil and gas well seepage law electrical simulation device provided in the embodiments of the present invention can execute the oil and gas well seepage law electrical simulation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0108] Figure 8 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.

[0109] like Figure 8 As 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.

[0110] 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.

[0111] 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, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the electrical simulation method of oil and gas well seepage laws.

[0112] In some embodiments, the method for simulating the seepage patterns of oil and gas wells can 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 can 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 simulating the seepage patterns of oil and gas wells described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for simulating the seepage patterns of oil and gas wells by any other suitable means (e.g., by means of firmware).

[0113] 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), system-on-a-chip (SoCs), complex 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.

[0114] 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.

[0115] 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.

[0116] 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).

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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 electrical simulation of seepage patterns in oil and gas wells, characterized in that, include: Obtain the first logging parameters corresponding to the first oil and gas well to be simulated, and determine the permeability distribution information corresponding to the horizontal section in the first oil and gas well based on the first logging parameters. The permeability distribution information includes the regional permeability corresponding to each sweet spot in the horizontal section. Based on the permeability distribution information and each first similarity coefficient, a hydroelectric simulation component for constructing a hydroelectric simulation device is made, and the hydroelectric simulation component is assembled to obtain a hydroelectric simulation device. The hydroelectric simulation component includes at least a copper wire component, a gel component with different conductivity, and a copper strip component. An electrical simulation experiment is conducted using the aforementioned hydroelectric simulation device to obtain hydroelectric simulation parameters. Based on these parameters and the second similarity coefficients, the seepage pattern of the first oil and gas well is determined. The step of determining the permeability distribution information corresponding to the horizontal section in the first oil and gas well based on the first logging parameters includes: Based on the first logging parameters, determine the formation sweet spot distribution information of the horizontal well section in the first oil and gas well; For each sweet spot region of the formation, the permeability of each sub-segment within the sweet spot region is weighted and averaged to obtain the regional permeability of the sweet spot region. Based on the regional sequence, length, and permeability of each formation sweet spot, the permeability distribution information of the horizontal well section in the first oil and gas well is determined.

2. The method according to claim 1, characterized in that, The first similarity coefficients include flow similarity coefficients and geometric similarity coefficients; the process of fabricating a hydropower simulation component for constructing a hydropower simulation device based on the permeability distribution information and the first similarity coefficients includes: For each formation sweet spot, the length of the copper wire assembly corresponding to each formation sweet spot in the simulated production well is determined based on the region length of the formation sweet spot and the geometric similarity coefficient. Based on the copper wire assembly length information, determine the copper strip assembly length information used to simulate the supply boundary; For each formation sweet spot, the concentration of copper sulfate solution corresponding to the gel component used to simulate the permeability of the formation sweet spot is determined based on the regional permeability of the formation sweet spot and the flow similarity coefficient. The permeability of each formation sweet spot is simulated by the conductivity of the gel component.

3. The method according to claim 1, characterized in that, The process of assembling the hydroelectric simulation components to obtain a hydroelectric simulation device includes: The copper strip assembly is fixed around the inner side of the electrolytic cell to form a rectangular storage space, which is used to simulate the water injection supply boundary of the first oil and gas well. The copper wire assembly is horizontally arranged at the bottom center of the rectangular storage space to simulate the production well of the first oil and gas well. Gel components corresponding to various copper sulfate solution concentrations were filled into the rectangular storage space according to the formation properties to simulate the permeability of the first oil and gas well.

4. The method according to claim 3, characterized in that, The step of filling the rectangular storage space with gel components corresponding to various copper sulfate solution concentrations according to the formation properties includes: For each sweet spot region of the formation, a target gel component corresponding to the regional permeability of the sweet spot region is determined, and a target copper wire region corresponding to the regional length of the sweet spot region in the copper wire component is determined. The target gel components are arranged in the target copper wire area, so that the gel components corresponding to each copper sulfate solution concentration are filled into the rectangular storage space according to the formation properties.

5. The method according to claim 1, characterized in that, The process of conducting an electrical simulation experiment using the aforementioned hydroelectric simulation device to obtain hydroelectric simulation parameters includes: Connect one end of the copper wire assembly in the hydroelectric simulation device to the negative terminal of the preset power supply, and connect the copper strip assembly in the hydroelectric simulation device to the positive terminal of the preset power supply. The positive terminal of the voltage measuring device is connected to the other end of the copper wire assembly, and the negative terminal of the voltage measuring device is connected to the sliding measuring point, wherein the sliding measuring point slides on the copper wire assembly; Connect one end of the current measuring device to the copper strip assembly in the hydroelectric simulation device, and connect the other end of the current measuring device to the positive terminal of the preset power supply. The voltage measuring device determines the first voltage parameters at each location of the copper wire assembly, and the current measuring device determines the first current parameters of the hydroelectric simulation device.

6. The method according to claim 5, characterized in that, The second similarity coefficients include pressure similarity coefficient, resistance similarity coefficient, and flow similarity coefficient; The step of determining the seepage pattern of the first oil and gas well based on the hydroelectric simulation parameters and each of the second similarity coefficients includes: The pressure parameters of the first oil and gas well are determined based on the first voltage parameter and the pressure similarity coefficient. Based on the first current parameter and the flow similarity coefficient, the gas production parameters of the first oil and gas well are determined; Based on the first voltage parameter and the first current parameter, the first resistance parameter is determined, and based on the first resistance parameter and the resistance similarity coefficient, the seepage resistance of each horizontal section of the first oil and gas well is determined. Based on the pressure parameters, the seepage resistance, and the gas production parameters, the seepage pattern of the first oil and gas well is analyzed and determined.

7. An electrical simulation device for the seepage law of oil and gas wells, characterized in that, include: The logging parameter analysis module is used to obtain the first logging parameters corresponding to the first oil and gas well to be simulated, and to determine the permeability distribution information corresponding to the horizontal well section in the first oil and gas well based on the first logging parameters. The permeability distribution information includes the regional permeability corresponding to each sweet spot in the horizontal well section. The simulation device construction module is used to fabricate hydroelectric simulation components for constructing a hydroelectric simulation device based on the permeability distribution information and each first similarity coefficient, and to assemble the hydroelectric simulation components to obtain a hydroelectric simulation device. The hydroelectric simulation components include at least copper wire components, gel components with different conductivity, and copper strip components. The simulation parameter determination module is used to conduct an electrical simulation experiment through the hydroelectric simulation device to obtain hydroelectric simulation parameters, and to determine the seepage law of the first oil and gas well based on the hydroelectric simulation parameters and each second similarity coefficient. The well logging parameter analysis module is specifically used for: Based on the first logging parameters, determine the formation sweet spot distribution information of the horizontal well section in the first oil and gas well; For each sweet spot region of the formation, the permeability of each sub-segment within the sweet spot region is weighted and averaged to obtain the regional permeability of the sweet spot region. Based on the regional sequence, length, and permeability of each formation sweet spot, the permeability distribution information of the horizontal well section in the first oil and gas well is determined.

8. 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 electrical simulation method for oil and gas well seepage laws according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the electrical simulation method for oil and gas well seepage laws according to any one of claims 1-6.

Images