Method and device for predicting water breakthrough time of abnormal high-pressure gas reservoir horizontal well

Abstract

The invention relates to the technical field of gas reservoir exploitation, and provides a water breakthrough time prediction method and device for an abnormal high-pressure gas reservoir horizontal well. The water breakthrough time prediction method for the horizontal well in the abnormal high-pressure gas reservoir comprises the following steps: establishing a gas phase motion equation of the horizontal well according to a characterization parameter of a non-darcy effect, a characterization parameter of a pulse effect and a characterization parameter of a stress sensitive effect of the horizontal well in the abnormal high-pressure gas reservoir; establishing a water phase motion equation of the horizontal well according to the characterization parameters of the Darcy flow and the characterization parameters of the stress sensitive effect of the horizontal well; and predicting the water breakthrough time of the horizontal well according to the gas phase motion equation and the water phase motion equation. According to the implementation of the method, a theoretical basis can be provided for optimization design of an abnormal high-pressure gas reservoir development scheme, and meanwhile, reliable technical support is provided for formulating and adjusting field water control measures, so that the gas reservoir development efficiency is effectively improved.

Description

Technical Field

[0001] This application relates to the field of gas reservoir development technology, particularly the field of porous media seepage technology, specifically to a method and apparatus for predicting the water breakthrough time of horizontal wells in abnormally high-pressure gas reservoirs. Background Technology

[0002] In recent years, with the widespread application of horizontal well technology in the development of abnormally high-pressure gas reservoirs, water breakthrough in gas wells has become a key factor restricting the efficient development of such reservoirs. Accurate prediction of water breakthrough time in horizontal wells is of significant theoretical and engineering application value for optimizing development schemes, formulating water control measures, and improving reservoir recovery. However, existing water breakthrough time prediction methods have the following limitations:

[0003] First, existing prediction models are mainly designed for vertical well development and are difficult to apply directly to horizontal wells;

[0004] Secondly, existing horizontal well prediction methods are mostly limited to considering the impact of high-speed non-Darcy effect on fluid seepage, while ignoring the unique development dynamic characteristics of abnormally high-pressure gas reservoirs. Summary of the Invention

[0005] The present application provides a method and apparatus for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir. The purpose is to solve the technical problem in the prior art that it is difficult to accurately predict the water breakthrough time during the development of a horizontal well in an abnormally high-pressure gas reservoir due to the complex fluid seepage law.

[0006] To achieve the above objectives, firstly, this invention provides a method for predicting the water breakthrough time of horizontal wells in abnormally high-pressure gas reservoirs, including:

[0007] The gas phase motion equation of the horizontal well is established based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress sensitivity effect of the horizontal well in the abnormal high pressure gas reservoir.

[0008] The water phase motion equation of the horizontal well is established based on the characterization parameters of Darcy flow and the characterization parameters of stress-sensitive effect.

[0009] The water breakthrough time of the horizontal well is predicted based on the gas phase motion equation and the water phase motion equation.

[0010] In some embodiments of the present invention, predicting the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation includes:

[0011] The gas phase flow velocity and the water phase flow velocity of the horizontal well are determined based on the gas phase motion equation and the water phase motion equation.

[0012] The water breakthrough time of the horizontal well is predicted based on the gas phase seepage velocity and the water phase seepage velocity.

[0013] In some embodiments of the present invention, predicting the water breakthrough time of the horizontal well based on the gas phase seepage velocity and the water phase seepage velocity includes:

[0014] The movement speed of water particles in the porous medium of the horizontal well under the influence of bound water and residual gas is determined based on the gas phase seepage velocity and the water phase seepage velocity.

[0015] The time to see water is predicted based on the moving speed.

[0016] In some embodiments of the present invention, the characterization parameters of the stress-sensitive effect are used to characterize the relationship between the reservoir permeability and formation pressure of the abnormally high-pressure gas reservoir.

[0017] Secondly, this application provides a device for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir, the device comprising:

[0018] The gas phase motion equation establishment module is used to establish the gas phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress sensitivity effect of the horizontal well in the abnormally high pressure gas reservoir.

[0019] The water phase motion equation establishment module is used to establish the water phase motion equation of the horizontal well based on the characterization parameters of Darcy flow and the characterization parameters of stress-sensitive effect.

[0020] The water breakthrough time prediction module is used to predict the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation.

[0021] In some embodiments of the present invention, the water-seeping time prediction module includes:

[0022] The seepage velocity determination unit is used to determine the gas phase seepage velocity and the water phase seepage velocity of the horizontal well based on the gas phase motion equation and the water phase motion equation.

[0023] The water breakthrough time prediction unit is used to predict the water breakthrough time of the horizontal well based on the gas phase seepage velocity and the water phase seepage velocity.

[0024] In some embodiments of the present invention, the water-seeping time prediction unit includes:

[0025] The moving speed determination unit is used to determine the moving speed of water particles in the porous medium of the horizontal well under the influence of bound water and residual gas based on the gas phase seepage velocity and the water phase seepage velocity.

[0026] The water-seeking time prediction subunit is used to predict the water-seeking time based on the moving speed.

[0027] In some embodiments of the present invention, the characterization parameters of the stress-sensitive effect are used to characterize the relationship between the reservoir permeability and formation pressure of the abnormally high-pressure gas reservoir.

[0028] Thirdly, this application provides a computer program product, including a computer program / instruction that, when executed by a processor, implements the steps of a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir.

[0029] Fourthly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir.

[0030] Fifthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir.

[0031] As described above, this application provides a method and apparatus for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir. The method includes: firstly, establishing the gas phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress-sensitive effect of the horizontal well in the abnormally high-pressure gas reservoir; then, establishing the water phase motion equation of the horizontal well based on the characterization parameters of the Darcy flow and the stress-sensitive effect of the horizontal well; and finally, predicting the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation.

[0032] This invention solves the technical challenge of accurately predicting water breakthrough time during horizontal well development of abnormally high-pressure gas reservoirs by establishing a seepage mathematical model that comprehensively considers stress-sensitive effects. The implementation of this invention provides a theoretical basis for the optimized design of development schemes for abnormally high-pressure gas reservoirs, and also provides reliable technical support for the formulation and adjustment of on-site water control measures, thereby effectively improving gas reservoir development efficiency. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1This is a flowchart illustrating a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir, as provided in an embodiment of this application.

[0035] Figure 2 This is a flowchart illustrating step 300 of a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir, as provided in an embodiment of this application.

[0036] Figure 3 This is a flowchart illustrating step 302 of a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir, as provided in an embodiment of this application.

[0037] Figure 4 A flowchart illustrating a method for predicting water breakthrough time in a horizontal well of an abnormally high-pressure gas reservoir, provided as a specific application example of this application.

[0038] Figure 5 This is a schematic diagram illustrating the relationship between gas well production and water breakthrough time in a specific application example of this application.

[0039] Figure 6 This is a schematic diagram of a water breakthrough time prediction device for a horizontal well in an abnormally high-pressure gas reservoir, provided in a specific application example of this application.

[0040] Figure 7 This is a schematic diagram of the water-seeping time prediction module 30 provided in a specific application example of this application;

[0041] Figure 8 This is a schematic diagram of the water-seeping time prediction unit 30b provided in a specific application example of this application;

[0042] Figure 9 This is a schematic diagram of the structure of the electronic device in the embodiments of this application. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0045] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification, claims and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product or device.

[0046] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0047] Actual development data shows that, due to the high pressure coefficient of abnormally high-pressure gas reservoirs, the pulse effect (non-steady-state pressure pulsation phenomenon) and stress sensitivity effect significantly affect formation fluid seepage during development. Therefore, establishing a method for predicting the water breakthrough time of horizontal wells in abnormally high-pressure gas reservoirs that considers the stress sensitivity effect is of significant practical importance for improving prediction accuracy and guiding the efficient development of gas reservoirs. Based on this, the embodiments of this application provide a specific implementation method for predicting the water breakthrough time of horizontal wells in abnormally high-pressure gas reservoirs, see [link to implementation details]. Figure 1 The method specifically includes the following:

[0048] Step 100: Establish the gas phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress sensitivity effect of the horizontal well in the abnormal high pressure gas reservoir;

[0049] Step 200: Establish the water phase motion equation of the horizontal well based on the characterization parameters of Darcy flow and the characterization parameters of stress-sensitive effect.

[0050] Step 300: Predict the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation.

[0051] As described above, this application provides a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir, comprising: firstly, establishing the gas phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress-sensitive effect in the horizontal well in the abnormally high-pressure gas reservoir; then, establishing the water phase motion equation of the horizontal well based on the characterization parameters of the Darcy flow and the stress-sensitive effect; and finally, predicting the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation.

[0052] This invention solves the technical challenge of accurately predicting water breakthrough time during horizontal well development of abnormally high-pressure gas reservoirs by establishing a seepage mathematical model that comprehensively considers stress-sensitive effects. The implementation of this invention provides a theoretical basis for the optimized design of development schemes for abnormally high-pressure gas reservoirs, and also provides reliable technical support for the formulation and adjustment of on-site water control measures, thereby effectively improving gas reservoir development efficiency.

[0053] Regarding step 100, the non-Darcy effect refers to the phenomenon where, when gas flows in a porous medium, its nonlinear behavior or other factors cause the gas flow to no longer follow the classical Darcy's law. Darcy's law assumes that fluid flow in a porous medium is linear and proportional to the pressure gradient. However, in many practical situations, especially in natural gas reservoirs or other gas reservoirs, gas flow may exhibit nonlinear characteristics, which is known as the non-Darcy effect.

[0054] The pulse effect refers to the phenomenon where gas production or pressure changes rapidly during the production process of a gas reservoir due to factors such as gas flow characteristics, rock medium properties, or external operations. This phenomenon manifests as large fluctuations in gas well production over certain time periods, exhibiting pulse-like changes.

[0055] Regarding step 200, Darcy flow is a flow model that describes the flow of gas in porous media (such as underground gas reservoirs). This model assumes that when gas flows in a reservoir, it follows a similar law to liquid flow, that is, there is a linear relationship between the flow rate and the pressure gradient, and it is mainly determined by factors such as permeability, gas viscosity, flow area, and pressure difference.

[0056] In addition, the stress-sensitive effect characterization parameters in steps 100 and 200 are used to characterize the relationship between reservoir permeability and formation pressure in the abnormally high-pressure gas reservoir.

[0057] In step 300, firstly, based on the continuity condition of the gas-water two-phase pressure gradient at the gas-water interface and combined with the gas phase seepage velocity in the horizontal well, an analytical expression for the water phase seepage velocity is derived.

[0058] Next, based on the quantitative relationship between the water particle movement distance and the water breakthrough time, the analytical expression of the water phase seepage velocity was substituted into the model to establish a mathematical model for predicting the water breakthrough time of horizontal wells in abnormally high-pressure gas reservoirs, which comprehensively considers the high-speed non-Darcy effect, the pulse effect, and the stress-sensitive effect.

[0059] In some embodiments of the present invention, steps 100 and 200 can be implemented in the following ways:

[0060] Steps 100 to 300 are carried out based on the following gas reservoir condition assumptions:

[0061] ① Reservoir characteristic assumptions: The reservoirs are horizontally distributed and have homogeneous and isotropic characteristics;

[0062] ② Assumptions on seepage characteristics: The gas phase follows non-Darcy flow laws, while the aqueous phase obeys Darcy's law of seepage;

[0063] ③ Hypothesis on displacement characteristics: The water drive process is a piston-type displacement;

[0064] ④ Mechanical characteristic assumptions: The effects of gravity and capillary force on fluid motion are ignored.

[0065] When considering high-speed non-Darcy effect and pulse effect, the gas phase motion equation can be expressed by the following equation:

[0066]

[0067] In the formula:

[0068]

[0069] The water phase is Darcy flow, and the equation of motion is:

[0070]

[0071] In the formula, p g The pressure is the gas phase pressure, in MPa; p w ρ is the water phase pressure, MPa; r is the distance a water particle travels towards the well, m; k is the reservoir permeability, 10⁻⁶. -3 μm 2 ;k rg k rw These are the relative permeability of the gas phase and the relative permeability of the aqueous phase, respectively; μ g Here, represents the viscosity of natural gas, in mPa·s; μ. w ρ is the viscosity of formation water, mPa·s; g The density of natural gas is kg / m³ 3 ;v g v w These represent the gas phase seepage velocity and the water phase seepage velocity, respectively, in m / s; b is the non-Darcy flow coefficient, in m. -1γ is the pulse coefficient, m·s / kg; f is the porosity, dless; M air γ is the molar mass of air, g / mol; g ρ is the relative density of the gas phase, dless; P is the formation pressure, MPa; R is the gas constant, MPa·m 3 / (mol·k); Z is the natural gas deviation factor, dless; T is the formation temperature, K.

[0072] In the development of abnormally high-pressure gas reservoirs, stress sensitivity is one of the key factors affecting gas well productivity. To quantitatively characterize the relationship between reservoir permeability and formation pressure, a power-law form stress sensitivity mathematical model is adopted, the expression of which is:

[0073]

[0074] In the formula, k i The original permeability of the reservoir, 10 -3 μm 2 ;p i α is the original formation pressure, MPa; α is the stress sensitivity index, MPa -1 .

[0075] When considering stress-sensitive effects, the gas phase motion equations and water phase motion equations can be rewritten as follows:

[0076]

[0077] Correspondingly, equations (2) and (3) can be rewritten as follows:

[0078]

[0079] In some embodiments of the present invention, see Figure 2 Step 300 includes:

[0080] Step 301: Determine the gas phase seepage velocity and the water phase seepage velocity of the horizontal well according to the gas phase motion equation and the water phase motion equation;

[0081] When the effect of capillary force is neglected, we have:

[0082]

[0083] Combining equations (7), (8), and (11), the seepage velocity of the aqueous phase can be obtained as follows:

[0084]

[0085] In the formula:

[0086]

[0087] Among them, M wg These are intermediate calculation parameters.

[0088] Assuming the gas leakage zone of the horizontal well is elliptical, and the equipotential surface at point M on the water drive front is also elliptical, then the length of the major semi-axis is (r+L) / 2, and the length of the minor semi-axis is r. The gas phase seepage velocity can then be obtained as follows:

[0089]

[0090] In the formula: q g For natural gas production, m 3 / d;B g dless is the natural gas volume factor; h is the reservoir thickness (m); L is the length of the horizontal section of the horizontal well (m).

[0091] Step 302: Predict the water breakthrough time of the horizontal well based on the gas phase seepage velocity and the water phase seepage velocity.

[0092] In some embodiments of the present invention, see Figure 3 Step 302 includes:

[0093] Step 3021: Determine the movement speed of water particles in the porous medium of the horizontal well under the influence of bound water and residual gas based on the gas phase seepage velocity and the water phase seepage velocity;

[0094] Specifically, substituting equation (14) into equation (12) yields:

[0095]

[0096] Considering the effects of bound water and residual gas, the time required for water particle a to move the distance dr in the porous medium is:

[0097]

[0098] In the formula, S wi To bind water saturation, dless; S gr φ represents residual gas saturation, dless; φ represents porosity, dless.

[0099] Step 3022: Predict the time to see water based on the moving speed.

[0100] Specifically, substituting equation (15) into equation (16) and integrating, we can obtain the water quality breakthrough time as follows:

[0101]

[0102] In the formula: a is the distance between the gas-water boundary and the wellbore, in meters; t bt The time for the water level to break through is measured in years / years.

[0103] In some embodiments of the present invention, the characterization parameters of the stress-sensitive effect are used to characterize the relationship between the reservoir permeability and formation pressure of the abnormally high-pressure gas reservoir.

[0104] As described above, this application provides a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir. The method includes: first, establishing the gas-phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress-sensitive effect in the horizontal well within the abnormally high-pressure gas reservoir; then, establishing the water-phase motion equation of the horizontal well based on the characterization parameters of the Darcy flow and the stress-sensitive effect; and finally, predicting the water breakthrough time of the horizontal well based on the gas-phase motion equation and the water-phase motion equation. This invention has the following beneficial effects:

[0105] First, this invention achieves accurate prediction of water breakthrough time in horizontal wells by establishing a multi-factor coupled analytical model that comprehensively considers the high-speed non-Darcy effect, the impulse effect, and the stress-sensitive effect.

[0106] Next, the present invention can perform rapid calculations directly based on on-site production dynamic data, which can not only predict the water breakthrough time of gas wells, but also quantitatively analyze the influence of key parameters such as gas production and the distance of the gas-water interface from the wellbore on the water breakthrough time.

[0107] Finally, the implementation of this invention can provide a theoretical basis for developers to optimize production systems, help delay the water breakthrough time of gas reservoirs, improve gas reservoir recovery rate, and thus enhance the overall development benefits of abnormally high-pressure gas reservoirs.

[0108] To further illustrate this solution, this application also provides a specific application example of the method for predicting the water breakthrough time of horizontal wells in abnormally high-pressure gas reservoirs. See [link to relevant documentation]. Figure 4 Specifically, it includes the following content.

[0109] S1: Based on the gas-water two-phase flow theory, gas phase motion equations considering high-speed non-Darcy effect, pulse effect and stress-sensitive effect are established respectively, as well as water phase motion equations considering stress-sensitive effect;

[0110] S2: Based on the continuity condition of the gas-water two-phase pressure gradient at the gas-water interface and combined with the gas phase seepage velocity in the horizontal well, the analytical expression for the water phase seepage velocity is derived.

[0111] S3: Based on the quantitative relationship between the water particle movement distance and the water breakthrough time, the analytical expression of the water phase seepage velocity obtained in step S2 is substituted into the model to establish a mathematical model for predicting the water breakthrough time of horizontal wells in abnormally high-pressure gas reservoirs, which comprehensively considers the high-speed non-Darcy effect, the pulse effect and the stress sensitivity effect.

[0112] The original formation pressure of well H-1 in an abnormally high-pressure gas reservoir in Basin A is known to be 58.19 MPa, the formation temperature to be 120.21℃, the horizontal section length to be 879.11 m, and the stress sensitivity coefficient to be 0.0268 MPa. -1 The penetration rate is 7.82′10. -3 μm 2 The porosity is 4.73%, the effective thickness is 18.51 m, the relative density of natural gas is 0.5750, and the average gas production before water exposure is 20.13′10. 4 m 3 The well has a bound water saturation of 0.33, a gas phase relative permeability of 0.27 at bound water saturation, a residual gas saturation of 0.24, a water phase relative permeability of 0.61 at residual gas saturation, and a gas-water boundary distance of 312 m. Using the well's basic data in this iterative method, the theoretical water breakthrough time is calculated to be 4.49 years. Production dynamic data shows that after 4.85 years of production, the formation water salinity increases significantly, the production water-to-gas ratio gradually increases, and the rate of decrease in gas production accelerates. It is determined that the well will actually break through water after 4.85 years of production. The relative error between the theoretically predicted water breakthrough time and the actual water breakthrough time is 7.49%, which is small and meets the requirements for engineering applications.

[0113] Based on the well's production dynamics data, different gas production rates were set, and the water breakthrough time of the gas well under different gas production rates was analyzed. Figure 5 It is known that as gas production increases, the water breakthrough time of gas wells is brought forward. Establishing a reasonable production system is crucial for delaying water breakthrough in gas wells and improving reservoir recovery.

[0114] As described above, this application provides a method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir. The method includes: first, establishing the gas-phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress-sensitive effect in the horizontal well within the abnormally high-pressure gas reservoir; then, establishing the water-phase motion equation of the horizontal well based on the characterization parameters of the Darcy flow and the stress-sensitive effect; and finally, predicting the water breakthrough time of the horizontal well based on the gas-phase motion equation and the water-phase motion equation. This invention has the following beneficial effects:

[0115] First, this invention achieves accurate prediction of water breakthrough time in horizontal wells by establishing a multi-factor coupled analytical model that comprehensively considers the high-speed non-Darcy effect, the impulse effect, and the stress-sensitive effect.

[0116] Next, the present invention can perform rapid calculations directly based on on-site production dynamic data, which can not only predict the water breakthrough time of gas wells, but also quantitatively analyze the influence of key parameters such as gas production and the distance of the gas-water interface from the wellbore on the water breakthrough time.

[0117] Finally, the implementation of this invention can provide a theoretical basis for developers to optimize production systems, help delay the water breakthrough time of gas reservoirs, improve gas reservoir recovery rate, and thus enhance the overall development benefits of abnormally high-pressure gas reservoirs.

[0118] Based on the same inventive concept, this application also provides a water breakthrough time prediction device for horizontal wells in abnormally high-pressure gas reservoirs, which can be used to implement the method described in the above embodiments, as shown in the following embodiments. Since the principle of solving the problem using the water breakthrough time prediction device for horizontal wells in abnormally high-pressure gas reservoirs is similar to that of the water breakthrough time prediction method for horizontal wells in abnormally high-pressure gas reservoirs, the implementation of the water breakthrough time prediction device for horizontal wells in abnormally high-pressure gas reservoirs can refer to the implementation of the water breakthrough time prediction method for horizontal wells in abnormally high-pressure gas reservoirs, and repeated details will not be repeated. As used below, the terms "unit" or "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the system described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0119] This application provides a specific implementation of a water breakthrough time prediction device for horizontal wells in abnormally high-pressure gas reservoirs, capable of predicting the water breakthrough time of such wells. See [link to relevant documentation]. Figure 6 A water breakthrough time prediction device for horizontal wells in abnormally high-pressure gas reservoirs specifically includes the following components:

[0120] The gas phase motion equation establishment module 10 is used to establish the gas phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the characterization parameters of the pulse effect, and the characterization parameters of the stress-sensitive effect of the horizontal well in the abnormal high-pressure gas reservoir.

[0121] The water phase motion equation establishment module 20 is used to establish the water phase motion equation of the horizontal well based on the characterization parameters of Darcy flow and the characterization parameters of stress-sensitive effect of the horizontal well.

[0122] The water breakthrough time prediction module 30 is used to predict the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation.

[0123] In some embodiments of the present invention, see Figure 7 The water-seeping time prediction module 30 includes:

[0124] The seepage velocity determination unit 30a is used to determine the gas phase seepage velocity and the water phase seepage velocity of the horizontal well based on the gas phase motion equation and the water phase motion equation.

[0125] The water breakthrough time prediction unit 30b is used to predict the water breakthrough time of the horizontal well based on the gas phase seepage velocity and the water phase seepage velocity.

[0126] In some embodiments of the present invention, see Figure 8 The water-seeping time prediction unit 30b includes:

[0127] The moving speed determination unit 30b1 is used to determine the moving speed of water particles in the porous medium of the horizontal well under the influence of bound water and residual gas based on the gas phase seepage velocity and the water phase seepage velocity.

[0128] Water exposure time prediction subunit 30b2 is used to predict the water exposure time based on the moving speed.

[0129] In some embodiments of the present invention, the characterization parameters of the stress-sensitive effect are used to characterize the relationship between the reservoir permeability and formation pressure of the abnormally high-pressure gas reservoir.

[0130] The embodiments of this application also provide a specific implementation of an electronic device capable of implementing all steps in the water breakthrough time prediction method for horizontal wells in abnormally high-pressure gas reservoirs described in the above embodiments. See [link to implementation details]. Figure 9 The electronic devices specifically include the following:

[0131] Processor 1201, memory 1202, communications interface 1203, and bus 1204;

[0132] The processor 1201, memory 1202, and communication interface 1203 communicate with each other via bus 1204; the communication interface 1203 is used to realize information transmission between server-side devices, power measurement devices, and user-side devices and other related devices.

[0133] The processor 1201 is used to call the computer program in the memory 1202. When the processor executes the computer program, it implements all the steps in the method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir in the above embodiment. For example, when the processor executes the computer program, it implements the following steps:

[0134] The gas phase motion equation of the horizontal well is established based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress sensitivity effect of the horizontal well in the abnormal high pressure gas reservoir.

[0135] The water phase motion equation of the horizontal well is established based on the characterization parameters of Darcy flow and the characterization parameters of stress-sensitive effect.

[0136] The water breakthrough time of the horizontal well is predicted based on the gas phase motion equation and the water phase motion equation.

[0137] In some embodiments of the present invention, predicting the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation includes:

[0138] The gas phase flow velocity and the water phase flow velocity of the horizontal well are determined based on the gas phase motion equation and the water phase motion equation.

[0139] The water breakthrough time of the horizontal well is predicted based on the gas phase seepage velocity and the water phase seepage velocity.

[0140] In some embodiments of the present invention, predicting the water breakthrough time of the horizontal well based on the gas phase seepage velocity and the water phase seepage velocity includes:

[0141] The movement speed of water particles in the porous medium of the horizontal well under the influence of bound water and residual gas is determined based on the gas phase seepage velocity and the water phase seepage velocity.

[0142] The time to see water is predicted based on the moving speed.

[0143] In some embodiments of the present invention, the characterization parameters of the stress-sensitive effect are used to characterize the relationship between the reservoir permeability and formation pressure of the abnormally high-pressure gas reservoir.

[0144] As described above, this application provides a device for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir, comprising: a gas phase motion equation establishment module, used to establish the gas phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress-sensitive effect of the horizontal well in the abnormally high-pressure gas reservoir; a water phase motion equation establishment module, used to establish the water phase motion equation of the horizontal well based on the characterization parameters of the Darcy flow and the stress-sensitive effect of the horizontal well; and a water breakthrough time prediction module, used to predict the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation. This invention has the following beneficial effects:

[0145] First, this invention achieves accurate prediction of water breakthrough time in horizontal wells by establishing a multi-factor coupled analytical model that comprehensively considers the high-speed non-Darcy effect, the impulse effect, and the stress-sensitive effect.

[0146] Next, the present invention can perform rapid calculations directly based on on-site production dynamic data, which can not only predict the water breakthrough time of gas wells, but also quantitatively analyze the influence of key parameters such as gas production and the distance of the gas-water interface from the wellbore on the water breakthrough time.

[0147] Finally, the implementation of this invention can provide a theoretical basis for developers to optimize production systems, help delay the water breakthrough time of gas reservoirs, improve gas reservoir recovery rate, and thus enhance the overall development benefits of abnormally high-pressure gas reservoirs.

[0148] Embodiments of this application also provide a computer-readable storage medium capable of implementing all steps of the water breakthrough time prediction method for horizontal wells in abnormally high-pressure gas reservoirs described in the above embodiments. The computer-readable storage medium stores a computer program that, when executed by a processor, implements all steps of the water breakthrough time prediction method for horizontal wells in abnormally high-pressure gas reservoirs described in the above embodiments. For example, when the processor executes the computer program, it implements the following steps:

[0149] The gas phase motion equation of the horizontal well is established based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress sensitivity effect of the horizontal well in the abnormal high pressure gas reservoir.

[0150] The water phase motion equation of the horizontal well is established based on the characterization parameters of Darcy flow and the characterization parameters of stress-sensitive effect.

[0151] The water breakthrough time of the horizontal well is predicted based on the gas phase motion equation and the water phase motion equation.

[0152] In some embodiments of the present invention, predicting the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation includes:

[0153] The gas phase flow velocity and the water phase flow velocity of the horizontal well are determined based on the gas phase motion equation and the water phase motion equation.

[0154] The water breakthrough time of the horizontal well is predicted based on the gas phase seepage velocity and the water phase seepage velocity.

[0155] In some embodiments of the present invention, predicting the water breakthrough time of the horizontal well based on the gas phase seepage velocity and the water phase seepage velocity includes:

[0156] The movement speed of water particles in the porous medium of the horizontal well under the influence of bound water and residual gas is determined based on the gas phase seepage velocity and the water phase seepage velocity.

[0157] The time to see water is predicted based on the moving speed.

[0158] In some embodiments of the present invention, the characterization parameters of the stress-sensitive effect are used to characterize the relationship between the reservoir permeability and formation pressure of the abnormally high-pressure gas reservoir.

[0159] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. In particular, hardware + program embodiments are relatively simple in description because they are fundamentally similar to method embodiments; relevant parts can be referred to the descriptions in the method embodiments.

[0160] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0161] While this application provides method operation steps as shown in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-inventive labor. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual device or client product execution, the method can be executed sequentially as shown in the embodiments or drawings, or in parallel (e.g., in a parallel processor or multi-threaded processing environment).

[0162] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0163] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0164] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0165] This application uses specific embodiments to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir, characterized in that, include: The gas phase motion equation of the horizontal well is established based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress sensitivity effect of the horizontal well in the abnormal high pressure gas reservoir. The water phase motion equation of the horizontal well is established based on the characterization parameters of Darcy flow and the characterization parameters of stress-sensitive effect. The water breakthrough time of the horizontal well is predicted based on the gas phase motion equation and the water phase motion equation.

2. The method for predicting water arrival time according to claim 1, characterized in that, Predicting the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation includes: The gas phase flow velocity and the water phase flow velocity of the horizontal well are determined based on the gas phase motion equation and the water phase motion equation. The water breakthrough time of the horizontal well is predicted based on the gas phase seepage velocity and the water phase seepage velocity.

3. The method for predicting water arrival time according to claim 2, characterized in that, Predicting the water breakthrough time of the horizontal well based on the gas phase seepage velocity and the water phase seepage velocity includes: The movement speed of water particles in the porous medium of the horizontal well under the influence of bound water and residual gas is determined based on the gas phase seepage velocity and the water phase seepage velocity. The time to see water is predicted based on the moving speed.

4. The method for predicting water arrival time according to any one of claims 1 to 3, characterized in that, The stress-sensitive effect characterization parameters are used to characterize the relationship between reservoir permeability and formation pressure in the abnormally high-pressure gas reservoir.

5. A device for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir, characterized in that, include: The gas phase motion equation establishment module is used to establish the gas phase motion equation of the horizontal well based on the characterization parameters of the non-Darcy effect, the pulse effect, and the stress sensitivity effect of the horizontal well in the abnormally high pressure gas reservoir. The water phase motion equation establishment module is used to establish the water phase motion equation of the horizontal well based on the characterization parameters of Darcy flow and the characterization parameters of stress-sensitive effect. The water breakthrough time prediction module is used to predict the water breakthrough time of the horizontal well based on the gas phase motion equation and the water phase motion equation.

6. The water-seeking time prediction device according to claim 5, characterized in that, The water-seeping time prediction module includes: The seepage velocity determination unit is used to determine the gas phase seepage velocity and the water phase seepage velocity of the horizontal well based on the gas phase motion equation and the water phase motion equation. The water breakthrough time prediction unit is used to predict the water breakthrough time of the horizontal well based on the gas phase seepage velocity and the water phase seepage velocity.

7. The water-seeping time prediction device according to claim 6, characterized in that, The water-seeping time prediction unit includes: The moving speed determination unit is used to determine the moving speed of water particles in the porous medium of the horizontal well under the influence of bound water and residual gas based on the gas phase seepage velocity and the water phase seepage velocity. The water-seeking time prediction subunit is used to predict the water-seeking time based on the moving speed.

8. The water-seeking time prediction device according to any one of claims 5 to 7, characterized in that, The stress-sensitive effect characterization parameters are used to characterize the relationship between reservoir permeability and formation pressure in the abnormally high-pressure gas reservoir.

9. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir as described in any one of claims 1 to 4.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir as described in any one of claims 1 to 4.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method for predicting the water breakthrough time of a horizontal well in an abnormally high-pressure gas reservoir as described in any one of claims 1 to 4.

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