Water invasion characteristic parameter determination method and device, electronic equipment and storage medium

Abstract

The invention discloses a water invasion characteristic parameter determination method and device, electronic equipment and a storage medium. The method comprises the steps that production dynamic data of a target production well in a preset production period and corresponding oil reservoir characteristic parameters are obtained; determining a water invasion characteristic model of the target production well based on a water invasion principle; and determining water invasion characteristic parameters of the target production well according to the production dynamic data, the oil reservoir characteristic parameters and a water invasion characteristic model. According to the technical scheme, through the mechanism that water invasion is caused by water body hole shrinkage and water elastic expansion of the fractured-vuggy carbonate rock edge-bottom water reservoir, a purified water invasion item change chart under different water body multiples is obtained through derivation, a water invasion characteristic model is determined, water invasion characteristic parameters are determined according to the water invasion characteristic model and known parameters, and the water invasion characteristic parameters are determined according to the known parameters. The method is beneficial to understanding the water invasion dynamic and law analysis of the fracture-vug type carbonate rock edge-bottom water reservoir and improving the water control and control capability of the reservoir.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration and development, and in particular to a method, device, electronic equipment and storage medium for determining water intrusion characteristic parameters. Background Art

[0002] Fracture-vuggy carbonate reservoirs are a key component of the world's carbonate reservoirs. They are widely distributed, possess vast reserves, and offer promising development prospects. However, fracture-vuggy carbonate reservoirs differ significantly from conventional sandstone reservoirs, even within the same block. Furthermore, some reservoirs are interconnected with water bodies, making water intrusion a common occurrence during production, thus impacting normal reservoir production and development.

[0003] Existing methods are mostly targeted at calculating water invasion dynamics in conventional homogeneous reservoirs. However, due to the random spatial distribution and strong heterogeneity of reservoir bodies, fracture-vuggy carbonate reservoirs differ from homogeneous reservoirs, and the concept of permeability is no longer applicable to these reservoirs. Furthermore, existing methods require high accuracy for reservoir and water parameters, but these parameters are often difficult to obtain. Therefore, conventional water invasion dynamic calculation methods are difficult to apply to fracture-vuggy carbonate reservoirs. Summary of the Invention

[0004] The present invention provides a method, device, electronic device and storage medium for determining water invasion characteristic parameters, which are beneficial for understanding the dynamics and regularity analysis of water invasion in fracture-cavity carbonate rock edge and bottom water oil reservoirs and improving the water control and management capabilities of the oil reservoirs.

[0005] According to one aspect of the present invention, a method for determining water intrusion characteristic parameters is provided, the method comprising:

[0006] Obtain the production dynamic data and corresponding reservoir characteristic parameters of the target production well within the preset production cycle;

[0007] Determining a water invasion characteristic model of the target production well based on the water invasion principle;

[0008] The water invasion characteristic parameters of the target production well are determined according to the production dynamic data, the reservoir characteristic parameters and the water invasion characteristic model.

[0009] According to another aspect of the present invention, a device for determining water intrusion characteristic parameters is provided, comprising:

[0010] The data acquisition module is used to obtain the production dynamic data and corresponding reservoir characteristic parameters of the target production well within the preset production cycle;

[0011] a water invasion characteristic model determination module, configured to determine the water invasion characteristic model of the target production well based on the water invasion principle;

[0012] The water invasion characteristic parameter determination module is used to determine the water invasion characteristic parameters of the target production well according to the production dynamic data, the reservoir characteristic parameters and the water invasion characteristic model.

[0013] According to another aspect of the present invention, an electronic device is provided, 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. The computer program is executed by the at least one processor so that the at least one processor can execute the method for determining water intrusion characteristic parameters according to 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 enable a processor to implement the method for determining water intrusion characteristic parameters according to any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention derives a change chart of net water invasion terms under different water body magnifications by using the mechanism of water invasion caused by pore contraction and elastic expansion of water in fracture-vuggy carbonate rock bottom water reservoirs, determines a water invasion characteristic model, and determines water invasion characteristic parameters based on the water invasion characteristic model and known parameters. This is beneficial for understanding the dynamics and regular analysis of water invasion in fracture-vuggy carbonate rock bottom water reservoirs and improving the water control and management capabilities of the reservoirs.

[0019] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily 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 following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 This is a flow chart of a method for determining water intrusion characteristic parameters provided in accordance with the first embodiment of the present invention;

[0022] Figure 2 This is a schematic diagram of the water intrusion principle applicable to the first embodiment of the present invention;

[0023] Figure 3 Schematic diagram of the relationship between initial pore volume and dynamic reserves provided in accordance with the first embodiment of the present invention;

[0024] Figure 4 Schematic diagram of two types of water intrusion characteristic models, linear and logarithmic, provided according to the first embodiment of the present invention;

[0025] Figure 5 This is a flow chart of a method for determining water intrusion characteristic parameters provided in accordance with the second embodiment of the present invention;

[0026] Figure 6 2 is a flow chart of a method for iteratively solving net water influx and dynamic reserves by establishing a combined water influx characteristic model according to a second embodiment of the present invention;

[0027] Figure 7 A chart showing changes in net water invasion and cumulative oil production at different water body multiples is provided according to a second embodiment of the present invention;

[0028] Figure 8 2 is a schematic structural diagram of a device for determining water intrusion characteristic parameters according to a third embodiment of the present invention;

[0029] Figure 9 It is a structural diagram of an electronic device for implementing the method for determining water intrusion characteristic parameters according to the fourth embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions 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 embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first", "second", etc. in the description 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 numbers 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 clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] Example 1

[0033] Figure 1 A flow chart of a method for determining water intrusion characteristic parameters is provided for the first embodiment of the present invention. This embodiment is applicable to water intrusion characteristic parameter determination. The method can be executed by a water intrusion characteristic parameter determination device. The water intrusion characteristic parameter determination device can be implemented in the form of hardware and / or software. The water intrusion characteristic parameter determination device can be configured in any electronic device with network communication. Figure 1 As shown, the method includes:

[0034] S110: Obtain production dynamic data and corresponding reservoir characteristic parameters of a target production well within a preset production cycle.

[0035] In the embodiment of the present application, the production dynamic data includes formation pressure, gas-oil ratio, daily oil production, water content, etc. The production dynamic data and the corresponding reservoir characteristic parameters can be obtained from the well site database.

[0036] S120. Determine a water invasion characteristic model of the target production well based on the water invasion principle.

[0037] For fractured-cavity reservoirs with water bodies, edge-to-bottom water intrusion can be attributed to the combined effects of elastic expansion of water within the water body and contraction of rock pores. When pressure drops within the reservoir and is transmitted to the water body, the elastic energy of the water body acts as a driving force, causing water to invade the caves. To explore the relationship between pressure drop and water intrusion volume, based on the principle that reservoir pressure drop causes elastic expansion of water within the water body and contraction of rock pores, leading to edge-to-bottom water intrusion, we derived the relationship between net water intrusion and cumulative oil production at different water body magnifications, and established a water intrusion characteristic model.

[0038] As an optional but non-limiting implementation method, the water invasion characteristic model of the target production well is determined based on the water invasion principle, including: determining the changing relationship between the net water invasion term and the cumulative oil production under different water body multiples based on the water invasion principle; and constructing the water invasion characteristic model of the target production well according to the changing relationship.

[0039] In the examples of this application, see Figure 2 This is a schematic diagram of the water invasion principle, which is the combined effect of elastic expansion of water in the water column and contraction of rock pores caused by a drop in reservoir pressure. The water multiplier is the ratio of the volume of water in the rock pores to the volume of the reservoir pores.

[0040] The following is the process of determining the water invasion characteristic model. When the pressure drops from the initial formation pressure to the current formation pressure, the initial water volume expansion in the water body rock pores is:

[0041]

[0042] Among them, △Vw is the initial water volume expansion in the rock pores, m 3 ; V w is the volume of water in the current water body hole, m 3 ; V wi is the volume of water in the pores of the water body at the initial reservoir pressure, m 3 ; C w is the original water compressibility, MPa -1 ; p is the reservoir pressure, MPa; p i is the original reservoir pressure, MPa.

[0043] When the pressure drops from the initial formation pressure to the current formation pressure, the shrinkage of the water body rock pores is:

[0044]

[0045] Where, ΔV pw is the shrinkage of the rock holes in the water body, m 3 ; V pw is the volume of the current water body rock hole, m 3 ; V pwi is the volume of water rock pores at the initial reservoir pressure, m 3 ; C p is the rock compression coefficient, MPa -1 ; p is the reservoir pressure, MPa; p i is the original reservoir pressure, MPa.

[0046] Specifically, assuming the pores in the rock within the water body are filled with water, the volume of the pores in the water body equals the volume of the water in the water body. This is because the volume of water invading the reservoir is equal to the sum of the elastic expansion of the initial water content in the water body and the contraction of the pores in the rock within the water body when the formation pressure drops from the initial formation pressure to the current formation pressure.

[0047] According to the water invasion principle, the water invasion volume is equal to the elastic expansion of the initial water content in the water body pores plus the contraction of the water body rock pores:

[0048]

[0049] Among them, W e is the total water intrusion, m 3 ;ΔV w is the elastic expansion of the initial water content, m 3 ;ΔV pw is the shrinkage of the rock pores in the water body, m 3 ; V wi is the pore volume of the rock in the water, m 3 ; C w is the original water compressibility, MPa-1 ; C p is the rock compression coefficient, MPa -1 ; p is the reservoir pressure, MPa; p i is the original reservoir pressure, MPa.

[0050] From the definition of water body multiple, we know that the water body multiple is equal to the ratio of the volume of water in the pores of the water body rock to the volume of the reservoir pores, and the volume of the pores of the water body rock is equal to the volume of water in the water body, so the water body multiple is:

[0051]

[0052] Where n is the water volume multiple; V wi is the volume of water in the water body, m 3 ; V pi is the volume of crude oil in the pores at the original reservoir pressure, m 3 .

[0053] See also Figure 3 The relationship between the initial pore volume and dynamic reserves is shown in Figure 2. The relationship between the initial pore volume and dynamic reserves is expressed as:

[0054]

[0055] Among them, V pi is the initial pore volume in crude oil, m 3 ; N is dynamic reserves, m 3 ; B oi is the volume coefficient of crude oil in the initial state; S wi is the bound water saturation.

[0056] The relationship between the clean water intrusion item and the water body multiple is:

[0057]

[0058] Among them, W e is the total water intrusion, m 3 ;W p is the cumulative water production, m 3 ; B w is the volume coefficient of water; N is the dynamic reserve, m 3 ; B oi is the volume coefficient of crude oil in the initial state; S wi is the bound water saturation, n is the water body multiple; C w is the original water compressibility, MPa -1 ; C p is the rock compression coefficient, MPa -1 ; p is the reservoir pressure, MPa; p i is the original reservoir pressure, MPa;.

[0059] Specifically, in the equation between the net water invasion term and the water mass multiple, the water mass multiple, water saturation, dynamic reserves, and initial crude oil volume coefficient are all constants. They have no impact on the changing trend of the net water invasion term on the left side of the equation, so the influence of these parameters can be ignored when determining the water invasion characteristic model. Since the changing trend of the water invasion term is primarily affected by changes in the compressibility coefficient and reservoir pressure, the relationship between the two can be derived using reservoir production data.

[0060] Therefore, the water intrusion characteristic model can be expressed as:

[0061] W e -W p B w =f(N p )

[0062] Among them, W e is the total water intrusion, m 3 ;W p is the cumulative water production, m 3 ; B w is the volume coefficient of water; N p is the cumulative oil production, m 3 It can be understood that the water invasion model is used to express the relationship between the net water invasion term and the cumulative oil production.

[0063] See also Figure 4 Schematic diagram of two types of water intrusion characteristic models: linear and logarithmic.

[0064] S130. Determine the water invasion characteristic parameters of the target production well according to the production dynamic data, the reservoir characteristic parameters, and the water invasion characteristic model.

[0065] In the embodiment of the present application, an iterative calculation method for water invasion and dynamic reserves is established according to the principle of conservation of matter and substituted into the water invasion characteristic model. The water invasion characteristic parameters are solved by the iterative calculation method. After the iteration meets a certain calculation accuracy, the water invasion and dynamic reserve values ​​are output and a net water invasion term change curve is plotted. The net water invasion term change curve is plotted under the net water invasion term change chart of different water body multiples. The curve with the highest overlap is found through fitting and comparison. The corresponding water body multiple is the water body multiple of the reservoir.

[0066] The present invention discloses a method, device, electronic device and storage medium for determining water invasion characteristic parameters. The method includes: obtaining the production dynamic data and corresponding reservoir characteristic parameters of the target production well within a preset production cycle; determining the water invasion characteristic model of the target production well based on the water invasion principle; and determining the water invasion characteristic parameters of the target production well according to the production dynamic data, the reservoir characteristic parameters and the water invasion characteristic model. The technical solution of the present invention derives a net water invasion term change chart under different water body multiples through the mechanism of water invasion caused by the contraction of water pores and the elastic expansion of water in fracture-vuggy carbonate rock bottom water reservoirs, determines the water invasion characteristic model, and determines the water invasion characteristic parameters according to the water invasion characteristic model and known parameters, which is conducive to understanding the water invasion dynamics and regularity analysis of fracture-vuggy carbonate rock bottom water reservoirs and improving the water control and management capabilities of the reservoir.

[0067] Example 2

[0068] Figure 5 This is a flow chart of a method for determining water intrusion characteristic parameters provided in the second embodiment of the present invention. This embodiment is optimized based on the above-mentioned first embodiment. Figure 5 As shown, the method includes:

[0069] S210: Obtain production dynamic data and corresponding reservoir characteristic parameters of the target production well within a preset production cycle.

[0070] S220. Determine a water invasion characteristic model of the target production well based on the water invasion principle.

[0071] S230. Based on the material balance principle, a corresponding relationship is established between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production; wherein the sum of the effective compressibility coefficient term and the net water invasion term is positively correlated with the cumulative oil production, and the positive correlation coefficient between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production is associated with dynamic reserves.

[0072] In the embodiment of the present application, the material balance equation indicates that under the condition of a certain reservoir volume, the algebraic sum of the volume changes of oil, natural gas, and water in the reservoir is always zero. That is, the sum of the remaining oil, gas, and water at any time and the cumulative production is equal to the original geological reserves. Specifically, the material balance equation is expressed as:

[0073]

[0074] Where, p is the reservoir pressure, MPa; p i is the original reservoir pressure, MPa; N is the dynamic reserves, m 3 ; N p is the cumulative oil production, m 3 ; B oi is the volume coefficient of crude oil in the initial state; S wi is the bound water saturation; Cw is the original water compressibility, MPa -1 ; C p is the rock compression coefficient, MPa -1 .

[0075] The above formula can be regarded as a linear equation Y = mX-b, which is:

[0076]

[0077] The current dynamic reserves can be determined from the slope of the linear relationship.

[0078] The sum of the effective compressibility coefficient and the net water invasion term is positively correlated with the cumulative oil production, with a positive correlation coefficient of λ. The relationship is:

[0079]

[0080] The expression of correlation coefficient λ is:

[0081]

[0082] Where λ is the positive correlation coefficient, p is the reservoir pressure, MPa; p i is the original reservoir pressure, MPa; N is the dynamic reserves, m 3 ; N p is the cumulative oil production, m 3 .

[0083] By substituting actual production data into the above formula, we can calculate a series of λ with different production times. Using the Laida criterion, we can eliminate abnormal values ​​and large deviations in λ. First, we can calculate the average value of λ. And the standard deviation of λ:

[0084]

[0085] Among them, σ represents the standard deviation of a set of data, x i Represents the value of the i-th data, represents the average value of a set of data, and n represents the number of data in a set.

[0086] In order to make the calculation results more accurate, the value range of λ is set to Eliminate the λ values ​​outside this range and take the average of the remaining λ within the range to obtain The corresponding expression between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production is constructed as follows:

[0087]

[0088] Where, p is the reservoir pressure, MPa; p iis the original reservoir pressure, MPa; N is the dynamic reserves, m 3 ; N p is the cumulative oil production, m 3 ; B oi is the volume coefficient of crude oil in the initial state; S wi is the bound water saturation; C w is the original water compressibility, MPa -1 ; C p is the rock compression coefficient, MPa -1 ;W e is the total water intrusion, m 3 ;W p is the cumulative water production, m 3 ; B w is the volume coefficient of water; is the average value of the positive correlation coefficient.

[0089] S240: Constructing a correlation relationship among the net water intrusion item, the cumulative oil production, and the dynamic reserves based on the corresponding relationship and the water intrusion characteristic model.

[0090] In the embodiment of the present application, based on the above-mentioned water invasion characteristic model and the corresponding relationship between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production, the cumulative oil production and dynamic reserves can be expressed as:

[0091]

[0092] Where, p is the reservoir pressure, MPa; p i is the original reservoir pressure, MPa; N is the dynamic reserves, m 3 ; N p is the cumulative oil production, m 3 ; B oi is the volume coefficient of crude oil in the initial state; S wi is the bound water saturation; C w is the original water compressibility, MPa -1 ; C p is the rock compression coefficient, MPa -1 ;W e is the total water intrusion, m 3 ;W p is the cumulative water production, m 3 ; B w is the volume coefficient of water; is the average value of the positive correlation coefficient.

[0093] S250: Determine the water invasion characteristic parameters of the target production well according to the production dynamic data, the reservoir characteristic parameters and the correlation relationship.

[0094] In the embodiment of the present application, a logarithmic water intrusion characteristic model is used to explain in detail the process of determining the water intrusion characteristic parameters. Assuming that the coefficients in the logarithmic water intrusion characteristic model are a and b respectively, the logarithmic water intrusion characteristic model can be expressed as:

[0095] W e -W p B w =f(N p )=alnN p +b

[0096] Where a and b are both constants. The relationship between cumulative oil production and dynamic reserves can be expressed as follows:

[0097]

[0098] Substituting the known production well parameters and production data and regressing them in logarithmic form can obtain the values ​​of coefficients a and b, and then back-substituting them can obtain the cumulative net water intrusion.

[0099] As an optional but non-limiting implementation, the water invasion characteristic parameters include dynamic reserves and net water invasion items. Determining the water invasion characteristic parameters of the target production well based on the production dynamic data, the reservoir characteristic parameters, and the correlation relationship includes:

[0100] The dynamic reserves of the target production well are determined based on the production dynamic data, the reservoir characteristic parameters and the correlation relationship; the positive correlation coefficient is iteratively updated based on the dynamic reserves until a preset condition is met, and the net water invasion item of the target production well is determined based on the dynamic reserves and the water invasion characteristic model.

[0101] In the examples of this application, see Figure 6 A flow chart showing the iterative solution method for net water influx and dynamic reserves based on the water influx characteristic model is provided. Specifically, the steps for calculating dynamic reserves and net water influx are as follows:

[0102] ① Based on experience, the coefficients of the water intrusion characteristic model are assigned initial values: a = 3000, b = -20000, and the production dynamic data is substituted into the variation formula to calculate the Y and X values.

[0103] ② Perform linear regression on the XY relationship to obtain the slope m of the straight line, and determine the initial value of the dynamic reserves of a single well by N = 1 / m.

[0104] ③ Using the dynamic reserve N obtained in step ②, substitute it into the correlation coefficient expression to calculate a series of λ values. Then use the Laida criterion to eliminate outliers and calculate the average value.

[0105] ④ By performing logarithmic regression on the water intrusion characteristic model, the values ​​of the water intrusion characteristic model coefficients a and b can be obtained.

[0106] ⑤ Replace the initial values ​​of the iteration with the new a and b values ​​obtained in step ④. Repeat steps ①-④ until the error between the new a and b values ​​and the old a and b values ​​from the previous iteration meets a certain accuracy. Finally, determine the values ​​of a, b, and N.

[0107] ⑥Substitute the final determined values ​​of a and b into the water invasion characteristic model to predict the cumulative net water invasion of the production wells during the production cycle so far.

[0108] In addition, this calculation method requires at least two static pressure values ​​(excluding the initial formation pressure), and the more production data points and the longer the production time, the more reliable the calculation results.

[0109] As an optional but non-limiting implementation method, the water invasion characteristic parameter also includes a water body multiple. After determining the net water invasion item of the target production well, it also includes: determining a net water invasion item change curve based on the net water invasion item and the corresponding dynamic reserves; based on the comparison of the net water invasion item change curve with the net water invasion item change chart of different water body multiples, determining the water body multiple of the target production well.

[0110] In the examples of this application, see Figure 7 In order to draw the net water intrusion change curve under the net water intrusion change chart of different water body multiples, a schematic diagram of the reservoir water body multiple size is obtained by fitting and comparison.

[0111] For fractured-cavity reservoirs with water bodies, edge-to-bottom water intrusion can be attributed to the combined effects of elastic expansion of water within the water body and contraction of rock pores. When the pressure drop within the reservoir is transmitted to the water body, the elastic energy of the water body acts as a driving force for water intrusion into the caves. To explore the relationship between pressure drop and water intrusion volume, based on the principle that elastic expansion of water within the water body and contraction of rock pores caused by reservoir pressure drop leads to edge-to-bottom water intrusion, the relationship between net water intrusion and cumulative oil production at different water body multiples was derived, and a water intrusion characteristic model was established.

[0112] Specifically, after obtaining the variation pattern of the net water invasion volume with the cumulative oil production of the target production well, the initial crude oil volume coefficient is determined according to the PVT test report of the target oil well, and the net water invasion volume is converted into the net water invasion term.

[0113] Set up appropriate charts for the net water intrusion and cumulative oil production at different water mass multiples. Then, plot the net water intrusion and cumulative oil production patterns derived from the water intrusion calculation method on these charts for different water mass multiples. Based on the comparison and fitting, find the appropriate curve with the highest correlation and record the water mass multiple corresponding to that curve.

[0114] The present invention discloses a method, device, electronic device, and storage medium for determining water invasion characteristic parameters. The method includes: obtaining production dynamic data and corresponding reservoir characteristic parameters of a target production well within a preset production cycle; determining a water invasion characteristic model for the target production well based on the water invasion principle; constructing a corresponding relationship between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production based on the material balance principle; constructing a correlation relationship between the net water invasion term, cumulative oil production, and dynamic reserves based on the corresponding relationship and the water invasion characteristic model; and determining the water invasion characteristic parameters of the target production well based on the production dynamic data, the reservoir characteristic parameters, and the correlation relationship. The technical solution of the present invention, through the mechanism of water invasion caused by pore contraction of water bodies and elastic expansion of water in fracture-vuggy carbonate rock bottom water reservoirs, derives a change chart of the net water invasion term under different water body multiples, determines a water invasion characteristic model, and determines the water invasion characteristic parameters based on the water invasion characteristic model and known parameters. This is conducive to understanding the dynamics and regularity analysis of water invasion in fracture-vuggy carbonate rock bottom water reservoirs and improving the reservoir's water control and management capabilities.

[0115] Example 3

[0116] Figure 8 This is a schematic diagram of the structure of a device for determining water intrusion characteristic parameters provided by the third embodiment of the present invention. Figure 8 As shown, the device includes:

[0117] The data acquisition module 310 is used to obtain the production performance data and corresponding reservoir characteristic parameters of the target production well within a preset production cycle;

[0118] A water invasion characteristic model determination module 320 is configured to determine a water invasion characteristic model of the target production well based on water invasion principles;

[0119] The water invasion characteristic parameter determination module 330 is configured to determine the water invasion characteristic parameters of the target production well according to the production dynamic data, the reservoir characteristic parameters and the water invasion characteristic model.

[0120] Optionally, the water intrusion feature model determination module 320 includes:

[0121] A change relationship determination unit is used to determine the change relationship between the net water invasion item and the cumulative oil production under different water body multiples based on the water invasion principle;

[0122] A water invasion characteristic model building unit is used to build a water invasion characteristic model of the target production well according to the change relationship.

[0123] Optionally, the water intrusion characteristic parameter determination module 330 includes:

[0124] a corresponding relationship construction unit, configured to construct a corresponding relationship between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production based on a material balance principle; wherein the sum of the effective compressibility coefficient term and the net water invasion term is positively correlated with the cumulative oil production, and the positive correlation coefficient between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production is associated with dynamic reserves;

[0125] A correlation relationship building unit, configured to build a correlation relationship among the net water invasion item, the cumulative oil production and the dynamic reserves according to the corresponding relationship and the water invasion characteristic model;

[0126] The water invasion characteristic parameter determination unit is used to determine the water invasion characteristic parameters of the target production well according to the production dynamic data, the reservoir characteristic parameters and the correlation relationship.

[0127] Optionally, the water intrusion characteristic parameter determination module 330 includes:

[0128] Determining the dynamic reserves of the target production well based on the production dynamic data, the reservoir characteristic parameters and the correlation relationship;

[0129] The positive correlation coefficient is iteratively updated according to the dynamic reserves until a preset condition is met, and a net water invasion item of the target production well is determined according to the dynamic reserves and the water invasion characteristic model.

[0130] Optionally, the water intrusion characteristic parameter determination module 330 includes:

[0131] Determining a net water intrusion item change curve according to the net water intrusion item and the corresponding dynamic reserves;

[0132] The water body multiple of the target production well is determined based on a comparison between the net water invasion item change curve and the net water invasion item change charts of different water body multiples.

[0133] The device for determining water intrusion characteristic parameters provided in the embodiment of the present invention can execute the method for determining water intrusion characteristic parameters provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0134] Example 4

[0135] Figure 9A 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 claimed herein.

[0136] like Figure 9 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. 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 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0137] Multiple 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 magnetic 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 via a computer network such as the Internet and / or various telecommunication networks.

[0138] The processor 11 can be any general-purpose and / or specialized processing component 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 specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for determining water intrusion characteristic parameters.

[0139] In some embodiments, the method for determining water intrusion characteristic parameters may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for determining water intrusion characteristic parameters described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to execute the method for determining water intrusion characteristic parameters in any other appropriate manner (e.g., via firmware).

[0140] Various embodiments of the systems and techniques described 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-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes 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.

[0141] 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, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0142] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0143] 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 can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the 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 acoustic input, voice input, or tactile input).

[0144] The systems and techniques described herein can be implemented in a computing system that includes back-end 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 front-end components (e.g., a user computer with a graphical user interface or 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 back-end components, middleware components, or front-end components. The components of the system can 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.

[0145] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0146] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0147] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for determining water intrusion characteristic parameters, characterized in that: include: Obtain the production dynamic data and corresponding reservoir characteristic parameters of the target production well within the preset production cycle; Determining a water invasion characteristic model of the target production well based on the water invasion principle; The water invasion characteristic parameters of the target production well are determined according to the production dynamic data, the reservoir characteristic parameters and the water invasion characteristic model.

2. The method according to claim 1, characterized in that Determining a water invasion characteristic model of the target production well based on the water invasion principle includes: Based on the water invasion principle, the relationship between the net water invasion term and the cumulative oil production under different water body multiples is determined; A water invasion characteristic model of the target production well is constructed according to the change relationship.

3. The method according to claim 1, characterized in that Determining the water invasion characteristic parameters of the target production well according to the production performance data, the reservoir characteristic parameters and the water invasion characteristic model includes: Based on the material balance principle, a corresponding relationship is established between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production; wherein the sum of the effective compressibility coefficient term and the net water invasion term is positively correlated with the cumulative oil production, and the positive correlation coefficient between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production is associated with dynamic reserves; According to the corresponding relationship and the water invasion characteristic model, a correlation relationship among the net water invasion item, the cumulative oil production and the dynamic reserves is constructed; The water invasion characteristic parameters of the target production well are determined according to the production dynamic data, the reservoir characteristic parameters and the correlation relationship.

4. The method according to claim 3, characterized in that The water intrusion characteristic parameters include dynamic reserves and net water intrusion items; Determining the water invasion characteristic parameters of the target production well according to the production dynamic data, the reservoir characteristic parameters and the correlation relationship includes: Determining the dynamic reserves of the target production well based on the production dynamic data, the reservoir characteristic parameters and the correlation relationship; The positive correlation coefficient is iteratively updated according to the dynamic reserves until a preset condition is met, and a net water invasion item of the target production well is determined according to the dynamic reserves and the water invasion characteristic model.

5. The method according to claim 4, characterized in that The water intrusion characteristic parameters also include water body multiples; After determining the net water invasion item of the target production well, it also includes: Determining a net water intrusion item change curve according to the net water intrusion item and the corresponding dynamic reserves; The water body multiple of the target production well is determined based on a comparison between the net water invasion item change curve and the net water invasion item change charts of different water body multiples.

6. A device for determining water intrusion characteristic parameters, characterized in that: include: The data acquisition module is used to obtain the production dynamic data and corresponding reservoir characteristic parameters of the target production well within the preset production cycle; a water invasion characteristic model determination module, configured to determine the water invasion characteristic model of the target production well based on the water invasion principle; The water invasion characteristic parameter determination module is used to determine the water invasion characteristic parameters of the target production well according to the production dynamic data, the reservoir characteristic parameters and the water invasion characteristic model.

7. The device according to claim 6, characterized in that The water intrusion characteristic model determination module is used to: Based on the water invasion principle, the relationship between the net water invasion term and the cumulative oil production under different water body multiples is determined; A water invasion characteristic model of the target production well is constructed according to the change relationship.

8. The device according to claim 6, characterized in that The water intrusion characteristic parameter determination module is used to: Based on the material balance principle, a corresponding relationship is established between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production; wherein the sum of the effective compressibility coefficient term and the net water invasion term is positively correlated with the cumulative oil production, and the positive correlation coefficient between the sum of the effective compressibility coefficient term and the net water invasion term and the cumulative oil production is associated with dynamic reserves; According to the corresponding relationship and the water invasion characteristic model, a correlation relationship among the net water invasion item, the cumulative oil production and the dynamic reserves is constructed; The water invasion characteristic parameters of the target production well are determined according to the production dynamic data, the reservoir characteristic parameters and the correlation relationship.

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 execute the method for determining water intrusion characteristic parameters according to any one of claims 1 to 5.

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 water intrusion characteristic parameters according to any one of claims 1 to 5 when executed.

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