Drilling river channel sand body parameter determination method and device, electronic equipment and medium

Abstract

The invention discloses a method and a device for determining parameters of a sand body encountering a riverway during drilling, electronic equipment and a medium. The method comprises the following steps: regularizing production time and yield data of a gas well to obtain an actual regularized yield group of the gas well; determining fitting parameters; the fitting parameters are processed through a preset drilling sand body production well yield analysis mathematical model, and a gas well theoretical regularization yield set is obtained; target fitting parameters are determined according to the gas well actual regularized yield set and the gas well theoretical regularized yield set; and carrying out parameter conversion on the target fitting parameter to obtain a drilling encountering river channel sand body parameter. According to the technical scheme, the drilling river channel sand body parameters can be determined through the gas well actual regularized yield set and the gas well theoretical regularized yield set, the reliability of the analysis result is improved, and an existing multi-layer commingling production seepage and yield analysis model is expanded.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas field development, and in particular to a method, device, electronic equipment and medium for determining parameters of a drilled river channel sand body. Background Art

[0002] Tight oil and gas reservoirs, primarily continental deposits, are characterized by widespread distribution, multiple layers, and complex gas-water relationships. Due to the relatively thin, dense, and poor permeability of individual pay zones, single-layer production struggles to generate commercial gas flow. Currently, these reservoirs are often produced using commingled production. However, the production of individual layers in multi-layer commingled reservoirs is not directly correlated with differences in reservoir physical properties, often leading to difficulties in splitting production and unclear levels of production within each layer. Therefore, it is crucial to analyze the spatial distribution and physical properties of commingled sand bodies using test data from production wells in tight oil and gas reservoirs.

[0003] For the combined production wells that encounter multi-layer river channel sand bodies (with a semi-lens-shaped cross section), the first thing to do is to understand their flow model and flow pattern. Prior art 1 provides a pressure analysis model for calculating the difference in boundary lengths, but this method can only calculate an equivalent boundary value corresponding to all boundaries. However, this method is applicable to the case of continuous multi-layer distribution in the vertical direction, and requires that each layer of the reservoir is in the form of equal-thickness horizontal layers. Prior art 2 provides a multi-layer elliptical flow pressure analysis model, and prior art 3 and 4 provide a plane radial flow pressure analysis model. This model is applicable to the combined production model of multi-layer fracturing wells in infinite horizontal plate-like reservoirs, and is not applicable to irregularly shaped river channel deposits.

[0004] Existing multi-layer commingled production flow models fail to account for the differences in spatial dimensions of the commingled layers, making it difficult to clearly define the pressure and production variations caused by differences in the boundaries between layers. Most models focus on horizontal, isopachic, planar radial flow, failing to consider channel sedimentary morphology or the commingled production of multiple semi-lenticular sand bodies in the vertical direction. Current multi-layer commingled production models primarily consider interlayer crossflow characteristics and are unsuitable for multi-layered, superimposed channel sand bodies. Reservoir parameters are often derived using pressure analysis models, but pressure tests typically last only a few hundred hours, resulting in significant variability in test data and interpretation results over the years, and even inversions in parameters such as the reservoir production profile. Therefore, there is an urgent need to address this gap in technology and achieve the goal of obtaining information about encountered channel sand bodies through tight gas well production data. Summary of the Invention

[0005] The present invention provides a method, device, electronic equipment and medium for determining the parameters of drilled river channel sand bodies. The parameters of drilled river channel sand bodies can be determined based on the actual regularized production group of gas wells and the theoretical regularized production group of gas wells, thereby improving the reliability of the analysis results and expanding the existing multi-layer combined production seepage and production analysis model.

[0006] According to one aspect of the present invention, a method for determining parameters of a channel sand body encountered during drilling is provided, the method comprising:

[0007] Normalizing the production time and production data of the gas well to obtain an actual normalized production group of the gas well; wherein the normalized production group includes normalized production, normalized production integral, and normalized production integral derivative;

[0008] Determining fitting parameters; wherein the fitting parameters include the number of sand bodies, dimensionless thickness of sand bodies, dimensionless width of sand bodies, dimensionless length of sand bodies, flow coefficient of sand bodies, storage coefficient of sand bodies and well skin coefficient;

[0009] The fitting parameters are processed using a preset mathematical model for production analysis of drilling-encountered sand body production wells to obtain a theoretical normalized production group of the gas wells; wherein the mathematical model for production analysis of drilling-encountered sand body production wells is determined based on basic data of the gas wells;

[0010] determining target fitting parameters according to the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells;

[0011] Parameter conversion is performed on the target fitting parameters to obtain the parameters of the drilled channel sand body.

[0012] According to another aspect of the present invention, a device for determining parameters of a river channel sand body encountered during drilling is provided, the device comprising:

[0013] A gas well actual regularized production group obtaining module is used to perform regularization processing on the production time and production data of the gas well to obtain the gas well actual regularized production group; wherein the regularized production group includes regularized production, regularized production integral and regularized production integral derivative;

[0014] A fitting parameter determination module is used to determine fitting parameters; wherein the fitting parameters include the number of sand bodies, dimensionless thickness of sand bodies, dimensionless width of sand bodies, dimensionless length of sand bodies, flow coefficient of sand bodies, storage coefficient of sand bodies and well skin coefficient;

[0015] A module for obtaining a theoretical regularized gas well production group is used to process the fitting parameters using a preset mathematical model for analyzing the production of drilling-encountered sand body production wells to obtain a theoretical regularized gas well production group; wherein the mathematical model for analyzing the production of drilling-encountered sand body production wells is determined based on basic data of the gas wells;

[0016] a target fitting parameter determination module, configured to determine target fitting parameters according to the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells;

[0017] The module for obtaining parameters of the drilled channel sand body is used to convert the target fitting parameters to obtain the parameters of the drilled channel sand body.

[0018] According to another aspect of the present invention, an electronic device is provided, comprising:

[0019] at least one processor; and

[0020] a memory communicatively connected to the at least one processor; wherein,

[0021] 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 parameters of a drilled channel sand body according to any embodiment of the present invention.

[0022] 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 a method for determining parameters of a drilled channel sand body according to any embodiment of the present invention when executed.

[0023] The technical solution of the embodiment of the present invention is to obtain the actual regularized production group of the gas well by regularizing the production time and production data of the gas well, and then determine the fitting parameters. The fitting parameters are processed using a preset mathematical model for production analysis of drilled sand body production wells to obtain the theoretical regularized production group of the gas well. Finally, based on the actual regularized production group of the gas well and the theoretical regularized production group of the gas well, the target fitting parameters are determined, and the target fitting parameters are converted to obtain the parameters of the drilled river channel sand body. This technical solution can determine the parameters of the drilled river channel sand body through the actual regularized production group of the gas well and the theoretical regularized production group of the gas well, thereby improving the reliability of the analysis results and expanding the existing multi-layer combined production seepage and production analysis model.

[0024] 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

[0025] 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.

[0026] Figure 1 This is a flow chart of a method for determining parameters of a drilled river channel sand body provided in accordance with the first embodiment of the present invention;

[0027] Figure 2This is a cross-sectional schematic diagram of a well encountering multiple sand bodies provided in Example 1 of the present application;

[0028] Figure 3 This is a schematic diagram of the spatial position and coordinates of a production well provided in Example 1 of the present application;

[0029] Figure 4 This is a schematic diagram of the theoretical normalized yield curve provided in Example 1 of the present application;

[0030] Figure 5 is a schematic diagram of the fitting results provided in Example 1 of the present application;

[0031] Figure 6 A schematic diagram of a process for determining parameters of a channel sand body encountered during drilling, provided in the second embodiment of the present invention;

[0032] Figure 7 This is a flow chart of parameter fitting provided in Example 2 of the present application;

[0033] Figure 8 This is a schematic structural diagram of a device for determining parameters of a drilled river channel sand body provided in accordance with a third embodiment of the present invention;

[0034] Figure 9 The present invention is a schematic structural diagram of an electronic device for implementing a method for determining parameters of a drilled river channel sand body according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] It should be noted that the terms "initial", "target", 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 terms used in this way are interchangeable 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.

[0037] Example 1

[0038] Figure 1 This is a flow chart of a method for determining parameters of a drilled river channel sand body according to the first embodiment of the present invention. This embodiment is applicable to the situation where parameters of a drilled river channel sand body are determined during the development of oil and gas fields. The method can be executed by a drilled river channel sand body parameter determination device. The drilled river channel sand body parameter determination device can be implemented in the form of hardware and / or software. The drilled river channel sand body parameter determination device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0039] S110 , performing normalization processing on the production time and production data of the gas well to obtain an actual normalized production group of the gas well; wherein the normalized production group includes normalized production, normalized production integral, and normalized production integral derivative.

[0040] Among them, the actual regularized production group of gas wells includes regularized production q d , normalized production integral q di and the normalized yield integral derivative q did .

[0041] In this solution, the production time and output data of the gas well can be obtained through well logging data.

[0042] Normalization processing can refer to combining production time and output data into a form with certain physical meaning. In other words, the actual normalized output group of the gas well can be obtained by combining production time and output data.

[0043] Optionally, the production time and output data of the gas wells are normalized to obtain an actual normalized output group of the gas wells, including:

[0044] According to the predetermined sand body regularization formula, the production time and output data of the gas well are regularized to obtain the actual regularized output group of the gas well.

[0045] In this solution, when normalizing the output data, the production time needs to be normalized first to obtain the normalized production time. The normalized time t can be calculated using the following formula: cd ;

[0046]

[0047] Where: μ represents the fluid viscosity, Pa·s; c l Indicates the fluid compressibility, Pa -1 ; t represents production time, s; q represents output, m 3 / s, subscript i indicates the initial pressure condition.

[0048] Furthermore, the normalized yield q can be calculated using the following formula: d ;

[0049]

[0050] Among them, p i represents the original reservoir pressure, Pa; p wf represents the bottom hole pressure of the production well, Pa; m(p) represents the pseudo-pressure function.

[0051] The normalized yield integral q can be calculated using the following formula: di ;

[0052]

[0053] And the normalized yield integral derivative q can be calculated using the following formula did ;

[0054]

[0055] By calculating the production time and output data, the actual regularized production group of the gas well is obtained. Based on the actual regularized production group of the gas well, the parameters of the drilled river channel sand body can be determined, which expands the existing multi-layer commingled production seepage and production analysis model and fills the gap in the existing model that cannot simultaneously obtain the spatial parameters and physical properties of multiple sand bodies.

[0056] S120, determining fitting parameters; wherein the fitting parameters include the number of sand bodies, dimensionless thickness of sand bodies, dimensionless width of sand bodies, dimensionless length of sand bodies, flow coefficient of sand bodies, storage coefficient of sand bodies, and well skin coefficient.

[0057] In this embodiment, the fitting parameters M0 include the number of sand bodies j0, the dimensionless thickness of the sand bodies h Dj0 , dimensionless width of sand body W Dj0 , dimensionless length of sand body L Dj0 , sand body flow coefficient x j0 , sand body storage coefficient ω j0 , well skin coefficient S0.

[0058] In this scheme, the fitting parameters can be set according to the requirements of the parameters of the channel sand body encountered during drilling.

[0059] S130. Process the fitting parameters using a preset mathematical model for production analysis of drilling-encountered sand body production wells to obtain a theoretical normalized production group of gas wells; wherein the mathematical model for production analysis of drilling-encountered sand body production wells is determined based on basic data of the gas wells.

[0060] In this embodiment, the basic data includes the original reservoir pressure p i, production time t, sand body porosity φ, sand body comprehensive compression coefficient c t , fluid viscosity μ, fluid volume coefficient B, production well output Q, wellbore radius r w .

[0061] Among them, the theoretical regularized production group of gas wells includes regularized production q Dd , normalized production integral q Ddi , regularized yield integral derivative q Ddid .

[0062] In this scheme, a production analysis mathematical model for drilling sand body production wells can be constructed based on basic data, and the production analysis mathematical model for drilling sand body production wells can be analyzed to obtain the theoretical regularized production time t of the gas well. cDd , regularized output q Dd , normalized production integral q Ddi , regularized yield integral derivative q Ddid The calculation formula of .

[0063] Furthermore, the fitting parameters M0(j0, h Dj0 、W Dj0 , L Dj0 、x j0 、ω j0 , S0) into the theoretical regularized production time t of the gas well cDd , regularized output q Dd , normalized production integral q Ddi , regularized yield integral derivative q Ddid The theoretical regularized production time of the gas well t is obtained from the calculation formula cDd , regularized output q Dd , normalized production integral q Ddi , regularized yield integral derivative q Ddid .

[0064] Specifically, Figure 2 This is a cross-sectional schematic diagram of a well encountering multiple sand bodies provided in Example 1 of the present application, such as Figure 2 As shown, sand bodies are spaces with reservoir fluids formed by river channel deposition. Figure 3 This is a schematic diagram of the spatial position and coordinates of a production well provided in Example 1 of the present application, as shown in FIG. Figure 3 As shown, the thickness of the j-th channel sand body encountered by the production well is h j , the river width is W j , and the length of the river channel controlled by a well is L j The porosity of the channel sand body is φ j , the permeability is k j , the comprehensive compression coefficient is c tjThe viscosity of the fluid in the sand body is μ, and the flow rate to the wellbore is q j , pressure is p wj The wellhead production of a production well is Q, where the fluid will undergo a slight volume expansion from the bottom of the well to the wellhead, and the fluid volume coefficient is B.

[0065] Furthermore, we first define the dimensionless parameters as shown in Table 1:

[0066] Table 1

[0067]

[0068]

[0069] Among them, p i Indicates the initial pressure, Pa; p j represents the pressure of the jth layer, Pa; p w represents the bottom hole pressure, Pa; Q represents the well production, m 3 / s; μ represents fluid viscosity, Pa·s; B represents volume coefficient; k represents permeability, m 2 ; h represents the thickness of the sand body, m; W represents the width of the sand body, m; L represents the length of the sand body, m; φ represents the porosity, c t Indicates the compressibility, Pa -1 ; x, y represent the distance in the x and y directions, m; r represents the radial distance in the plane, m; r w represents the wellbore radius, m; t represents the production time, s; subscript j represents the jth layer.

[0070] The mathematical model for production analysis of production wells drilled into sand bodies is:

[0071]

[0072]

[0073] Where W represents the width of the sand body, m; h represents the thickness of the sand body, m; W * represents the equivalent width of the sand body, in m. The subscript D indicates a dimensionless parameter.

[0074] After Laplace transformation, the mathematical model for production analysis of production wells drilled into sand bodies is expressed as:

[0075]

[0076] Where u is the Laplace variable,

[0077] Furthermore, in Laplace space, the model pressure solution is:

[0078]

[0079] Where A and B are the coefficients to be determined; I0 is the first-kind Bessel function of order 0; K0 is the second-kind Bessel function of order 0. According to the boundary conditions of the model, a linear equation system with respect to coefficients A and B can be obtained;

[0080]

[0081] The matrix elements are:

[0082]

[0083] Where I1 is the first-order Bessel function of the first kind; K1 is the first-order Bessel function of the second kind.

[0084] Then solve the coefficient A j and B j The pressure of each sand body layer in the wellbore is obtained as follows:

[0085]

[0086] The bottom hole pressure is obtained by coupling the pressures in the wellbore. According to the Duhamel superposition principle, the bottom hole pressure response considering the wellbore storage coefficient and the fracture skin coefficient is:

[0087]

[0088] Where S is the total skin coefficient of the wellbore, which is dimensionless.

[0089] According to the pressure-output conversion relationship between constant pressure and constant production of production wells, the production well output is obtained from the bottom hole pressure:

[0090]

[0091] The Stehfest numerical inversion algorithm is used to convert the Laplace space yield into the real space yield. By defining three types of yield, a yield combination curve chart can be obtained, thereby reducing the multi-solution problem of yield fitting.

[0092]

[0093] Among them, q Dd represents the normalized yield, q Ddi represents the normalized yield integral, q Ddid represents the derivative of the normalized yield integral.

[0094] Normalized time t is required to calculate the normalized yield integral cDd , which is defined as:

[0095]

[0096] The coefficients involved in calculating the normalized time are:

[0097]

[0098] In this plan, Figure 4 This is a schematic diagram of the theoretical normalized yield curve provided in Example 1 of the present application. Figure 4 As shown in the figure, taking a double sand body as an example, the first concave shape represents the bottom sand body response, and the second concave shape represents the top sand body response. Normalized production group data is calculated based on production data. In a double logarithmic coordinate system, the number of sand bodies encountered can be determined solely based on the shape of the straight line segments of the plate curve. This method is simple to operate and has high mine applicability.

[0099] S140: Determine target fitting parameters according to the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells.

[0100] Among them, the target fitting parameters M include the number of sand bodies j, the dimensionless thickness of the sand bodies h Dj , dimensionless width of sand body W Dj , dimensionless length of sand body L Dj , sand body flow coefficient x j , sand body storage coefficient ω j , well skin coefficient S.

[0101] In this scheme, the actual regularized production of gas wells can be grouped into [q d ,q di ,q did ] and the theoretical regularized production group of gas wells [q Dd ,q Ddi ,q Ddid ] to obtain the target fitting parameters. That is, through mathematical fitting, the spatial size parameters and physical property parameters of each sand body can be obtained, filling the gap in the existing model that cannot simultaneously obtain multiple sand body spatial parameters and physical property parameters.

[0102] Optionally, determining target fitting parameters based on the actual regularized production group of gas wells and the theoretical regularized production group of gas wells includes:

[0103] Determining the difference between the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells;

[0104] When the difference satisfies a preset fitting error condition, the fitting parameter is used as the target fitting parameter.

[0105] In this scheme, the actual regularized production of gas wells can be grouped into [q d ,q di ,qdid ] and the theoretical regularized production group of gas wells [q Dd ,q Ddi ,q Ddid ] is subtracted to obtain the difference between the actual regularized production group of gas wells and the theoretical regularized production group of gas wells (|q d -q Dd |×|q di -q Ddi |×|q did -q Ddid |) 1 / 3 .

[0106] Among them, the fitting error condition can refer to the fitting error e, that is, when the difference between the actual regularized production group of the gas well and the theoretical regularized production group of the gas well is less than the fitting error e, the difference meets the preset fitting error condition; when the difference between the actual regularized production group of the gas well and the theoretical regularized production group of the gas well is greater than or equal to the fitting error e, the difference does not meet the preset fitting error condition.

[0107] Furthermore, when the difference between the actual regularized production group of the gas well and the theoretical regularized production group of the gas well is less than the fitting error e, the fitting parameter M0(j0,h Dj0 ,W Dj0 ,L Dj0 ,x j0 ,ω j0 ,S0) as the target fitting parameter M(j,W Dj ,L Dj ,h Dj ,χ j ,ω j ,S).

[0108] Optionally, after determining the difference between the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells, the method further includes:

[0109] In the case that the difference does not satisfy the preset fitting error condition, the fitting parameters are corrected until the corrected difference satisfies the preset fitting error condition, and the corrected fitting parameters are used as target fitting parameters.

[0110] Furthermore, when the difference between the actual regularized production group of the gas well and the theoretical regularized production group of the gas well is greater than or equal to the fitting error e, the fitting parameters M0(j0,h Dj0 ,W Dj0 ,L Dj0 ,x j0 ,ω j0 , S0) is corrected until the difference is less than the fitting error e, and the final corrected fitting parameters are used as the target fitting parameters M(j,W Dj ,L Dj,h Dj ,χ j ,ω j ,S). Wherein, correcting the fitting parameters may be increasing one or more of the fitting parameters, or decreasing one or more of the fitting parameters.

[0111] By determining the target fitting parameters, the parameters of the drilled sand body can be judged by the regularized production group curve characteristics, and the specific sand body spatial size and physical property parameters can be obtained through data fitting.

[0112] S150 , performing parameter conversion on the target fitting parameters to obtain parameters of the drilled channel sand body.

[0113] Among them, the parameters of the river channel sand bodies encountered include the number of sand bodies j, the thickness of sand bodies h j , Sand body width W j , sand body length L j and sand body permeability k j .

[0114] In this scheme, after obtaining the target fitting parameters M(j,W Dj ,L Dj ,h Dj ,χ j ,ω j ,S), the parameters are converted through the parameter conversion table to obtain the parameters of the drilled channel sand body of actual size.

[0115] In this embodiment, after calculating the parameters of the drilled river channel sand body, the following applications can be performed based on the parameters of the drilled river channel sand body: Calculation of dynamic reserves of drilled multi-sand body combined production wells: By obtaining the spatial volume of the sand body, and then obtaining the oil and gas volume inside the space, the dynamic reserves in the sand body can be controlled by the gas well; Judgment of the connectivity of the sand bodies between multi-sand body combined production wells and adjacent wells: Comparing the sand body boundary distances of the two wells between the well groups, when the sum of the horizontal distances of the sand bodies of the two wells is greater than the well spacing, it can be judged that the sand bodies between the well groups are laterally connected; when the sum of the horizontal distances of the sand bodies of the two wells is less than the well spacing, it can be judged that the sand bodies between the well groups are not connected.

[0116] Optionally, the parameters of the drilled channel sand body include the number of sand bodies, sand body thickness, sand body width, sand body length and sand body permeability;

[0117] Accordingly, the target fitting parameters are converted to obtain the parameters of the drilled channel sand body, including:

[0118] According to the preset sand body parameter conversion formula, the target fitting parameters are converted to obtain the sand body quantity, sand body thickness, sand body width, sand body length and sand body permeability.

[0119] Specifically, the parameters can be converted according to the formula in Table 1 to obtain the parameters of the actual size of the drilled river channel sand body. Among them, the number of drilled sand bodies is obtained by the fitting parameter j. The size of each sand body is determined by the sand body thickness h j , Sand body width W j , sand body length L j get.

[0120] In this embodiment, Figure 5 is a schematic diagram of the fitting results provided in Example 1 of the present application, such as Figure 5 As shown in Table 2, for a gas well, a dual sand body combined production model is used for analysis, and the obtained parameters are shown in Table 2.

[0121] Table 2

[0122]

[0123]

[0124] The technical solution of the embodiment of the present invention is to obtain the actual regularized production group of the gas well by regularizing the production time and production data of the gas well, and then determine the fitting parameters, and use the preset drilling sand body production well production analysis mathematical model to process the fitting parameters to obtain the theoretical regularized production group of the gas well, and finally determine the target fitting parameters based on the actual regularized production group of the gas well and the theoretical regularized production group of the gas well, and perform parameter conversion on the target fitting parameters to obtain the parameters of the drilled river sand body. By implementing this technical solution, the parameters of the drilled river sand body can be determined by the actual regularized production group of the gas well and the theoretical regularized production group of the gas well, expanding the existing multi-layer combined production seepage and production analysis model. All production data can be utilized to the greatest extent, improving the reliability of the analysis results and reducing the randomness of the test data.

[0125] Example 2

[0126] Figure 6 This is a schematic diagram of a process for determining parameters of a channel sand body encountered during drilling provided by the second embodiment of the present invention. The relationship between this embodiment and the above embodiment is a detailed description of the process for determining fitting parameters. Figure 6 As shown, the method includes:

[0127] S610. Regularize the production time and production data of the gas well to obtain an actual regularized production group of the gas well; wherein the regularized production group includes regularized production, regularized production integral, and regularized production integral derivative.

[0128] S620. Determine initial parameters of the drilled channel sand body; wherein the initial parameters include the number of sand bodies, sand body thickness, sand body width, sand body length and sand body permeability.

[0129] Among them, the initial parameters include the number of sand bodies j0, the thickness of sand bodies h j0 , Sand body width W j0 , sand body length L j0 , sand body permeability k j0 .

[0130] In this scheme, initial parameters can be set by referring to some geological data or interpretation results of adjacent wells.

[0131] S630. Calculate fitting parameters based on the initial parameters and predetermined basic data; wherein the basic data include original reservoir pressure, production time, sand body porosity, sand body comprehensive compressibility coefficient, fluid viscosity, fluid volume coefficient, production well output and wellbore radius.

[0132] In this scheme, the calculation formula in Table 1 can be used according to the initial parameters (j0, h j0 、W j0 , L j0 、k j0 ) and basic data (p i ,t,φ,c t ,μ,B,Q,r w ) for the fitting parameters M0(j0, h Dj0 、W Dj0 , L Dj0 、x j0 、ω j0 , S0) for calculation.

[0133] In this embodiment, Figure 7 This is a flow chart of parameter fitting provided in Example 2 of this application. Figure 7 As shown, first input the initial parameters (j0, h j0 、W j0 , L j0 、k j0 ) and basic data (p i ,t,φ,c t ,μ,B,Q,r w ).

[0134] S640. Process the fitting parameters using a preset mathematical model for production analysis of drilling-encountered sand body production wells to obtain a theoretical normalized production group of gas wells; wherein the mathematical model for production analysis of drilling-encountered sand body production wells is determined based on basic data of the gas wells.

[0135] Further, such as Figure 7 As shown in the figure, the theoretical regularized production group of gas wells [q Dd ,q Ddi ,q Ddid ]=F(M0,tcDd )

[0136] S650. Determine the target fitting parameters according to the actual normalized production group and the theoretical normalized production group of the gas well.

[0137] In this embodiment, as Figure 7 shown, perform least squares fitting on the actual normalized production group of the gas well [q d , q di , q did = f(t cd ) and the theoretical normalized production group of the gas well [q Dd , q Ddi , q Ddid = F(M0, t cDd ).

[0138] Furthermore, judge the difference between the actual normalized production group and the theoretical normalized production group of the gas well (|q d - q Dd | × |q di - q Ddi | × |q did - q Ddid |) 1 / 3 < e. If so, take the fitting parameter M0(j0, h Dj0 , W Dj0 , L Dj0 , x j0 , ω j0 , S0) as the target fitting parameter M(j, W Dj , L Dj , h Dj , χ j , ω j , S), and output the target fitting parameter. If not, correct the fitting parameter M0(j0, h Dj0 , W Dj0 , L Dj0 , x j0 , ω j0 , S0) until the difference is less than the fitting error e, and take the finally corrected fitting parameter as the target fitting parameter M(j, W Dj , L Dj , h Dj , χ j , ω j , S).

[0139] S660. Perform parameter conversion on the target fitting parameter to obtain the parameters of the drilled channel sand body.

[0140] Furthermore, as Figure 7 shown, after obtaining the target fitting parameter M(j, W Dj,L Dj ,h Dj ,χ j ,ω j ,S), the target fitting parameters M(j,W Dj ,L Dj ,h Dj ,χ j ,ω j ,S) to convert the parameters and obtain the sand body thickness h j , Sand body width W j , sand body length L j and sand body permeability k j .

[0141] The technical solution of the embodiment of the present invention is to obtain the actual regularized production group of the gas well by regularizing the production time and production data of the gas well, and then determine the initial parameters of the drilled river sand body, and calculate the fitting parameters based on the initial parameters and the predetermined basic data, and use the preset drilled sand body production well production analysis mathematical model to process the fitting parameters to obtain the theoretical regularized production group of the gas well, and finally determine the target fitting parameters based on the actual regularized production group of the gas well and the theoretical regularized production group of the gas well, and perform parameter conversion on the target fitting parameters to obtain the parameters of the drilled river sand body. By implementing this technical solution, the parameters of the drilled river sand body can be determined by the actual regularized production group of the gas well and the theoretical regularized production group of the gas well, which expands the existing multi-layer combined production seepage and production analysis model. All production data can be utilized to the greatest extent, the reliability of the analysis results can be improved, and the randomness of the test data can be reduced.

[0142] Example 3

[0143] Figure 8 Schematic diagram of a device for determining parameters of a sand body encountered in a drilling according to the third embodiment of the present invention. Figure 8 As shown, the device includes:

[0144] The gas well actual normalized production group obtaining module 810 is used to normalize the production time and production data of the gas well to obtain the gas well actual normalized production group; wherein the normalized production group includes the normalized production, the normalized production integral and the normalized production integral derivative;

[0145] The fitting parameter determination module 820 is used to determine the fitting parameters; wherein the fitting parameters include the number of sand bodies, the dimensionless thickness of the sand bodies, the dimensionless width of the sand bodies, the dimensionless length of the sand bodies, the flow coefficient of the sand bodies, the storage coefficient of the sand bodies, and the well skin coefficient;

[0146] The module 830 for obtaining the theoretical regularized production group of gas wells is used to process the fitting parameters using a preset mathematical model for analyzing the production of production wells drilled in sand bodies to obtain the theoretical regularized production group of gas wells; wherein the mathematical model for analyzing the production of production wells drilled in sand bodies is determined based on the basic data of the gas wells;

[0147] A target fitting parameter determination module 840 is configured to determine target fitting parameters based on the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells;

[0148] The module 850 for obtaining parameters of the channel sand body encountered during drilling is used to convert the target fitting parameters to obtain parameters of the channel sand body encountered during drilling.

[0149] Optionally, the fitting parameter determination module 820 is specifically configured to:

[0150] Determining initial parameters of the drilled channel sand body; wherein the initial parameters include the number of sand bodies, sand body thickness, sand body width, sand body length and sand body permeability;

[0151] The fitting parameters are calculated based on the initial parameters and predetermined basic data; wherein the basic data include original reservoir pressure, production time, sand body porosity, sand body comprehensive compressibility coefficient, fluid viscosity, fluid volume coefficient, production well output and wellbore radius.

[0152] Optionally, the target fitting parameter determination module 840 is specifically configured to:

[0153] Determining the difference between the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells;

[0154] When the difference satisfies a preset fitting error condition, the fitting parameter is used as the target fitting parameter.

[0155] Optionally, the target fitting parameter determination module 840 is further configured to:

[0156] In the case that the difference does not satisfy the preset fitting error condition, the fitting parameters are corrected until the corrected difference satisfies the preset fitting error condition, and the corrected fitting parameters are used as target fitting parameters.

[0157] Optionally, the gas well actual regularized production group obtaining module 810 is specifically used to:

[0158] According to the predetermined sand body regularization formula, the production time and output data of the gas well are regularized to obtain the actual regularized output group of the gas well.

[0159] Optionally, the parameters of the drilled channel sand body include the number of sand bodies, sand body thickness, sand body width, sand body length and sand body permeability;

[0160] Accordingly, the module 850 for obtaining parameters of the channel sand body encountered during drilling is specifically used for:

[0161] According to the preset sand body parameter conversion formula, the target fitting parameters are converted to obtain the sand body quantity, sand body thickness, sand body width, sand body length and sand body permeability.

[0162] An apparatus for determining parameters of a drilled channel sand body provided by an embodiment of the present invention can execute a method for determining parameters of a drilled channel sand body provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0163] Example 4

[0164] Figure 9 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0165] 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.

[0166] 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.

[0167] Processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 executes the various methods and processes described above, such as a method for determining parameters of a channel sand body encountered during drilling.

[0168] In some embodiments, a method for determining parameters of a channel sand body encountered during drilling can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining parameters of a channel sand body encountered during drilling can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute a method for determining parameters of a channel sand body encountered during drilling by any other appropriate means (e.g., by means of firmware).

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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).

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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 parameters of river channel sand bodies encountered during drilling, characterized in that: include: Regularizing the production time and production data of the gas well to obtain an actual regularized production group of the gas well; wherein the regularized production group includes regularized production, regularized production integral and regularized production integral derivative; Determine fitting parameters; wherein the fitting parameters include the number of sand bodies, dimensionless thickness of sand bodies, dimensionless width of sand bodies, dimensionless length of sand bodies, flow coefficient of sand bodies, storage coefficient of sand bodies and well skin coefficient; The fitting parameters are processed using a preset production analysis mathematical model for drilling sand body production wells to obtain a theoretical regularized production group of gas wells; wherein the production analysis mathematical model for drilling sand body production wells is determined based on basic data of the gas wells; Determining target fitting parameters according to the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells; The target fitting parameters are converted to obtain the parameters of the drilled channel sand body.

2. The method according to claim 1, characterized in that Determine the fitting parameters, including: Determine the initial parameters of the river channel sand body encountered during drilling; wherein the initial parameters include the number of sand bodies, sand body thickness, sand body width, sand body length and sand body permeability; The fitting parameters are calculated based on the initial parameters and predetermined basic data; wherein the basic data include original reservoir pressure, production time, sand body porosity, sand body comprehensive compression coefficient, fluid viscosity, fluid volume coefficient, production well output and wellbore radius.

3. The method according to claim 1, characterized in that According to the actual regularized production group of the gas well and the theoretical regularized production group of the gas well, target fitting parameters are determined, including: Determine the difference between the actual regularized production group of the gas well and the theoretical regularized production group of the gas well; When the difference satisfies a preset fitting error condition, the fitting parameter is used as a target fitting parameter.

4. The method according to claim 3, characterized in that: After determining the difference between the actual regularized production group of the gas wells and the theoretical regularized production group of the gas wells, the method further includes: In the case where the difference does not satisfy the preset fitting error condition, the fitting parameters are corrected until the corrected difference satisfies the preset fitting error condition, and the corrected fitting parameters are used as target fitting parameters.

5. The method according to claim 1, characterized in that The production time and output data of the gas wells are normalized to obtain the actual normalized output group of the gas wells, including: According to the predetermined sand body regularization formula, the production time and output data of the gas well are regularized to obtain the actual regularized output group of the gas well.

6. The method according to claim 1, characterized in that The parameters of the sand bodies encountered in the drilled channel include the number of sand bodies, the thickness of sand bodies, the width of sand bodies, the length of sand bodies and the permeability of sand bodies; Accordingly, the target fitting parameters are converted to obtain the parameters of the river channel sand body encountered, including: According to the preset sand body parameter conversion formula, the target fitting parameters are converted to obtain the sand body quantity, sand body thickness, sand body width, sand body length and sand body permeability.

7. A device for determining parameters of river channel sand bodies encountered during drilling, characterized in that: include: A gas well actual regularized production group obtaining module is used to perform regularization processing on the production time and production data of the gas well to obtain the gas well actual regularized production group; wherein the regularized production group includes regularized production, regularized production integral and regularized production integral derivative; A fitting parameter determination module, used to determine fitting parameters; wherein the fitting parameters include the number of sand bodies, dimensionless thickness of sand bodies, dimensionless width of sand bodies, dimensionless length of sand bodies, flow coefficient of sand bodies, storage coefficient of sand bodies and well skin coefficient; A gas well theoretical regularized production group obtaining module is used to process the fitting parameters using a preset drilling sand body production well production analysis mathematical model to obtain a gas well theoretical regularized production group; wherein the drilling sand body production well production analysis mathematical model is determined based on the basic data of the gas well; A target fitting parameter determination module, used for determining the target fitting parameters according to the actual regularized production group of the gas well and the theoretical regularized production group of the gas well; The module for obtaining the parameters of the drilled channel sand body is used to convert the target fitting parameters to obtain the parameters of the drilled channel sand body.

8. The device according to claim 7, characterized in that The fitting parameter determination module is specifically used for: Determine the initial parameters of the river channel sand body encountered during drilling; wherein the initial parameters include the number of sand bodies, sand body thickness, sand body width, sand body length and sand body permeability; The fitting parameters are calculated based on the initial parameters and predetermined basic data; wherein the basic data include original reservoir pressure, production time, sand body porosity, sand body comprehensive compression coefficient, fluid viscosity, fluid volume coefficient, production well output and wellbore radius.

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 a method for determining parameters of a drilled channel sand body according to any one of claims 1-6.

10. A computer-readable medium, characterized in that The computer-readable medium stores computer instructions, and the computer instructions are used to enable a processor to implement a method for determining parameters of a channel sand body encountered in any one of claims 1-6 when executing the computer-readable medium.

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