A quantitative identification method for connectivity of conglomerate reservoirs

Abstract

The present invention discloses a method for quantitatively determining the connectivity of conglomerate reservoirs. The method comprises: obtaining coordinate data and reservoir configuration data for a starting well and an ending well; determining the angular connectivity coefficient, longitudinal connectivity coefficient, lateral connectivity coefficient, and depth connectivity coefficient of the target reservoir based on the coordinate data and reservoir configuration data of the starting well and the ending well; determining a comprehensive connectivity coefficient based on the angular connectivity coefficient, longitudinal connectivity coefficient, lateral connectivity coefficient, and depth connectivity coefficient of the target reservoir; and determining the connectivity of the starting well and the ending well in the target reservoir based on the comprehensive connectivity coefficient. This method improves identification accuracy while significantly increasing work efficiency, achieving excellent results.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas development, and in particular to a method for quantitatively determining connectivity of a sandstone conglomerate reservoir. Background Art

[0002] At present, the study of reservoir interwell connectivity has become one of the most important methods for sand body characterization in the field of oil and gas development. Through the evaluation of reservoir interwell connectivity, the connectivity between injection and production wells of sand bodies of different genetic types can be finely characterized, the development law of high-quality reservoirs can be predicted, and an important basis for oil and gas reservoir development can be provided.

[0003] Currently, in oil and gas development, commonly used methods for evaluating reservoir interwell connectivity include using development performance data, well logging data, seismic data, or tracer data to determine interwell connectivity. However, because reservoir connectivity between injection and production wells is affected by many factors, such as fracturing stimulation and development progress, using development performance data to determine interwell connectivity is likely to produce erroneous conclusions. Using well logging data to determine interwell connectivity is prone to multiple solutions. Using seismic data to determine reservoir connectivity has significant accuracy limitations. And using tracer data to determine interwell reservoir connectivity is difficult, as tracers generally only reflect the connectivity characteristics of large sections of formations and cannot reflect the connectivity characteristics of individual formations. Summary of the Invention

[0004] The present invention provides a method for quantitatively distinguishing the connectivity of sandstone and conglomerate reservoirs, so as to realize accurate, rapid and quantitative identification of the connectivity between reservoir wells during the development of oil reservoirs.

[0005] In a first aspect, an embodiment of the present invention provides a method for determining reservoir connectivity, the method comprising:

[0006] Obtaining coordinate data and reservoir configuration data of the starting well and the ending well;

[0007] Determine the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient, and depth connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the end well and the reservoir configuration data;

[0008] Determine the comprehensive connectivity coefficient based on the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir;

[0009] According to the comprehensive connectivity coefficient, the connectivity of the starting well and the terminal well in the target reservoir is determined.

[0010] In a second aspect, an embodiment of the present invention further provides a device for determining reservoir connectivity, the device comprising:

[0011] A data determination module is used to obtain the coordinate data of the starting well and the end well and the reservoir configuration data;

[0012] A coefficient determination module is used to determine the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the end well and the reservoir configuration data;

[0013] A comprehensive connectivity coefficient determination module is used to determine the comprehensive connectivity coefficient based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir;

[0014] The connectivity determination module is used to determine the connectivity of the starting well and the end well in the target reservoir based on the comprehensive connectivity coefficient.

[0015] In a third aspect, an embodiment of the present invention further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for determining reservoir connectivity as described in any one of the embodiments of the present invention is implemented.

[0016] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer-executable instructions, which, when executed by a computer processor, are used to perform the reservoir connectivity determination method as described in any one of the embodiments of the present invention.

[0017] The technical solution of the embodiment of the present invention calculates the comprehensive connectivity coefficient of the starting well and the end point well in the target reservoir based on the angular connectivity coefficient, longitudinal connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the starting well and the end point well in the target reservoir, and determines the connectivity of the starting well and the end point well in the target reservoir based on the comprehensive connectivity coefficient. While improving the accuracy of discrimination, it greatly improves work efficiency and achieves good results.

[0018] 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

[0019] 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.

[0020] Figure 1 A flow chart of a method for determining reservoir connectivity provided in Example 1 of the present invention;

[0021] Figure 2A coordinate system diagram of the starting well and the end well provided in Example 1 of the present invention;

[0022] Figure 3 A relationship diagram between the target reservoir and the single layer boundary of the starting well and the end well provided in Example 1 of the present invention;

[0023] Figure 4 The reservoir correspondence pattern of the starting point well and the end point well within the reference top and bottom range provided in the first embodiment of the present invention;

[0024] Figure 5 The reservoir corresponding mode of the starting well and the ending well outside (part of) the reference top and bottom range provided in the first embodiment of the present invention;

[0025] Figure 6 The reservoir corresponding mode of the starting well and the ending well outside the reference top and bottom range (simultaneously) provided in the first embodiment of the present invention;

[0026] Figure 7 A schematic structural diagram of a device for determining reservoir connectivity provided in a second embodiment of the present invention;

[0027] Figure 8 This is a structural diagram of an electronic device provided in Example 3 of the present invention. DETAILED DESCRIPTION

[0028] 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.

[0029] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Example 1

[0031] Figure 1A flowchart of a method for determining reservoir connectivity is provided for the first embodiment of the present invention. This embodiment is applicable to the case of determining the connectivity of sandstone reservoirs. The method can be executed by a device for determining reservoir connectivity. The device for determining reservoir connectivity can be implemented in the form of hardware and / or software. The device for determining reservoir connectivity can be configured in any electronic device with network communication function. Figure 1 As shown, the method includes:

[0032] S110 , obtaining coordinate data and reservoir configuration data of the starting well and the ending well.

[0033] Reservoir configuration data can be data that characterizes the morphology, scale, orientation, and stacking relationships of different hierarchical units within a reservoir. Reservoir configuration data can include reservoir configuration identification results and reservoir configuration scale characteristics. Reservoir configuration scale characteristics can include: horizon name, top layer data, bottom layer data, single layer thickness, lithology, natural gamma ray parameters, resistivity, fourth-order configuration, and manually identified fourth-order configuration. Reservoir configuration scale characteristics can include: fourth-order configuration, fifth-order configuration, subfacies, and the length and width of different subfacies. Reservoir configuration scale characteristics and some reservoir configuration scale characteristics data are shown in Tables 1 and 2.

[0034] Table 1 Reservoir configuration identification results

[0035]

[0036]

[0037] Table 2 Reservoir configuration scale characteristics

[0038]

[0039]

[0040] Specifically, the configuration discrimination data can be read, and abnormal data can be filtered out to obtain the sorted configuration discrimination data. The sorted configuration discrimination data can be screened to retain data related to the reservoir configuration to obtain the reservoir configuration identification results. The starting well and the end well coordinate system can be established based on the configuration discrimination data, such as Figure 2 As shown, due north is 0 degrees, due east is 90 degrees, due south is 180 degrees, and due west is 270 degrees.

[0041] S120 , determining the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient, and the depth connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the end well and the reservoir configuration data.

[0042] The target reservoir may be a reservoir requiring connectivity confirmation. In this embodiment, interwell connectivity is determined on a reservoir-by-reservoir basis. The angular connectivity coefficient indicates the degree of angular connectivity. Specifically, it can be the angle between the direction of the line connecting the starting and ending wells and the direction of the main water flow line of a single layer. Its value is equal to the absolute value of the difference between 90° and this angle, divided by 90°. The longitudinal connectivity coefficient indicates the degree of vertical connectivity of the target reservoir. Specifically, it can be the ratio of the mean length of the target reservoir to the longitudinally converted distance from the starting and ending wells. The lateral connectivity coefficient indicates the degree of horizontal connectivity of the target reservoir. Specifically, it can be the ratio of the mean width of the target reservoir to the transversely converted distance from the starting and ending wells. The depth connectivity coefficient indicates the degree of depth connectivity of the target configuration within the target reservoir. Specifically, it can be the ratio of the overlap depth of the starting and ending depths of the target configuration of the starting and ending wells divided by the thickness of the dominant configuration of the starting and ending wells, whichever is greater.

[0043] Optionally, determining the angular connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the ending well and the reservoir configuration data includes steps A1-A2:

[0044] Step A1: Determine the well azimuth according to the coordinate data of the starting well and the ending well.

[0045] The well azimuth can be the angle between the true north N axis and the ray pointing from the starting well A to the end well B.

[0046] like Figure 2 As shown in the figure, based on the established coordinate system for the starting and ending wells, for any two wells A and B, let the coordinates of starting well A be (x1, y1) and the coordinates of ending well B be (x2, y2). If x1 = x2, the well azimuth C = 0; if x1 ≠ x2, the well azimuth C = (180° - arctan((x2 - x1) / (y1 - y2))) * 180 / Pi.

[0047] Step A2: determining the angular connectivity coefficient of the target reservoir according to the absolute value of the difference between the well azimuth and the water flow azimuth of the target reservoir during the single-layer deposition period.

[0048] Alternatively, the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir can be calculated using the following formula:

[0049] G=|CK|

[0050] Among them, G is the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, in degrees; C is the well azimuth, in degrees; K is the water flow azimuth during the single-layer deposition period, in degrees.

[0051] Furthermore, the azimuth of the water flow during the single-layer deposition period can be determined by selecting an arbitrary azimuth, that is, selecting an arbitrary azimuth M. If the selected M is 150°, M=150°<270°, then K=M; if the selected M is 320°, M=320°>270°, then K=M-180. Among them, the arbitrary azimuth M is between 0 and 360°, that is, the angle between the north N axis and the mainstream line, such as Figure 2 As shown, the mainstream line is the ray L in the figure, wherein the mainstream line can be a sign of the best sand body fluidity. That is, when the direction of the ray from the starting well A to the end well B is consistent with the direction of the mainstream line, the sand body fluidity is best.

[0052] Alternatively, the angular connectivity coefficient of the target reservoir may be determined based on the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, which may be determined using the following formula:

[0053] AR=(90-G) / 90

[0054] Where G is the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, in degrees; AR is the angular connectivity coefficient.

[0055] Optionally, determining the vertical connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the end well and the reservoir configuration data includes steps B1-B3:

[0056] Step B1: Determine the vertical converted distance between the start well and the end well based on the coordinate data of the start well and the end well, and the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir.

[0057] Alternatively, the distance between the starting well and the ending well can be determined by the following formula:

[0058]

[0059] Among them, (x1, y1) is the coordinate of the starting well A; (x2, y2) is the coordinate of the end well B; LAB is the distance between the starting well A and the end well B.

[0060] Optionally, the vertical conversion distance between the starting well and the ending well can be determined based on the coordinate data of the starting well and the ending well, and the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir. This can be determined using the following formula:

[0061] LABZ=LAB*1.88*cosG

[0062] Where LAB is the distance between the starting well A and the ending well B; G is the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, in degrees; LABZ is the longitudinal converted distance between the starting well and the ending well.

[0063] Step B2: Determine the average length of the target configuration of the start well and the end well in the target reservoir based on the reservoir configuration data of the start well and the end well.

[0064] The target configuration can be a dominant configuration. The dominant configuration refers to the configuration with the largest thickness among different sand body configurations. For example, sand body configuration 1 has a thickness of 1 m; sand body configuration 2 has a thickness of 2 m, and the dominant configuration is sand body configuration 2.

[0065] The dominant configuration of the target reservoir is determined based on the reservoir configuration data of the starting well and the terminal well, and then the mean length LGX of the dominant configuration of wells A and B in the layer is calculated based on the length and width data of different configurations in the reservoir configuration data.

[0066] Step B3: Determine the vertical connectivity coefficient of the target reservoir based on the vertical converted distance and the mean length.

[0067] Optionally, the vertical connectivity coefficient of the target reservoir is determined based on the vertical converted distance and the mean length, which can be determined by the following formula:

[0068] ZR=LGX / LABZ

[0069] Wherein, LGX is the average length of the target configuration of the starting well and the terminal well in the target reservoir; LABZ is the longitudinal converted distance between the starting well and the terminal well; ZR is the longitudinal connectivity coefficient value.

[0070] Optionally, the lateral connectivity coefficients of the target reservoir, including C1-C3, are determined based on the coordinate data of the start well and the end well and the reservoir configuration data:

[0071] Step C1: Determine the lateral converted distance between the starting well and the ending well based on the coordinate data of the starting well and the ending well, and the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir.

[0072] Optionally, the vertical conversion distance between the starting well and the ending well can be determined based on the coordinate data of the starting well and the ending well, and the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir. This can be determined using the following formula:

[0073] LABH=LAB*1.88*sinG

[0074] Wherein, LAB is the distance between the starting well A and the ending well B; G is the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, in degrees; LABH is the lateral converted distance between the starting well and the ending well.

[0075] Step C2: Determine the average width of the target configuration of the start well and the end well in the target reservoir based on the reservoir configuration data of the start well and the end well.

[0076] The dominant configuration of the target reservoir is determined based on the reservoir configuration data of the starting well and the terminal well, and then the average width WGX of the dominant configuration of wells A and B in the layer is calculated based on the different configuration length and width data in the reservoir configuration data.

[0077] Step C3: determining the lateral connectivity coefficient of the target reservoir according to the lateral converted distance and the width mean.

[0078] Optionally, the lateral connectivity coefficient of the target reservoir is determined based on the lateral converted distance and the average width, which can be determined by the following formula:

[0079] HR=WGX / LABH

[0080] Wherein, WGX is the average length of the target configuration of the starting well and the terminal well in the target reservoir; LABH is the longitudinal converted distance between the starting well and the terminal well; HR is the longitudinal connectivity coefficient value.

[0081] Optionally, the depth connectivity coefficient of the target reservoir is determined based on the coordinate data of the starting well and the end well and the reservoir configuration data, including steps S1-S4:

[0082] Step S1: Determine the benchmark top and bottom range of the target reservoir.

[0083] According to the layer number and sub-layer number of the target reservoir, the top and bottom depths and the top and bottom depths of the fourth-level dominant configuration are taken from the reservoir configuration data in sequence, and the top and bottom depths are used as the reference top and bottom ranges. For example, Figure 3 As shown, the benchmark top and bottom range is D0-D1.

[0084] Furthermore, if Figure 4 As shown in Figure 2, the starting well and the ending well of the target reservoir are both within the range of the benchmark top layer; Figure 5 As shown in FIG, the starting well or the end well of the target reservoir is partly outside the range of the benchmark top layer; Figure 6 As shown, portions of the start and end wells of the target reservoir are both outside the range of the benchmark top layer.

[0085] Step S2: determining the top depth data and bottom depth data of the target configuration of the start well in the target reservoir, and determining the top depth data and bottom depth data of the target configuration of the end well in the target reservoir.

[0086] According to the confirmed target configuration of the target reservoir, that is, the dominant configuration, the top depth data and bottom depth data of the target configuration are determined according to its reservoir configuration data.

[0087] Furthermore, if Figure 4 As shown, the top depth data of the target configuration of starting well A is D2, and the bottom depth data is D3; the top depth data of the target configuration of starting well B is D4, and the bottom depth data is D5.

[0088] Step S3: Determine the overlapping thickness of the target configuration of the starting well and the end point well in the target reservoir, and the maximum thickness of the target configuration of the starting well and the end point well in the target reservoir based on the benchmark top and bottom range of the target reservoir, the top depth data and bottom depth data of the target configuration of the starting well in the target reservoir, and the top depth data and bottom depth data of the target configuration of the end point well in the target reservoir.

[0089] Optionally, when the target configuration of the target reservoir of the starting well A or the ending well B is within the reference top and bottom range of the target reservoir, the overlapping portion of the starting well A and the ending well B can be determined based on the top depth data and bottom depth data of the target configuration of the starting well in the target reservoir, as well as the top depth data and bottom depth data of the target configuration of the ending well in the target reservoir, thereby determining the overlapping thickness of the target configurations of the starting well and the ending well in the target reservoir.

[0090] For example, Figure 4 As shown, taking type 1 as an example, the top data of the starting well A is D2, and the bottom data is D3; the top data of the end well B is D4, and the bottom data is D5, then the overlapping thickness of the target configuration of the starting well and the end well in the target reservoir is HD=D5-D4.

[0091] Furthermore, before calculating the overlap thickness, it is necessary to determine the type of the target reservoir based on the benchmark top and bottom range of the target reservoir, the top and bottom depth data of the target configuration of the starting well in the target reservoir, and the top and bottom depth data of the target configuration of the endpoint in the target reservoir. That is, when the target configurations of the target reservoirs of starting well A and endpoint B are both within the benchmark top and bottom range of the target reservoir, the benchmark top and bottom range of the target reservoir is flattened, that is, regardless of the actual depth, it is assigned a value of 0. After the flattening process, based on the top and bottom depth data of the target configurations of starting well A and endpoint B in the target reservoir, the depths of the top and bottom of the target configurations of starting well A and endpoint B from the benchmark top and bottom range of the target reservoir are calculated, and the calculated depths are used as the relative top depth and relative bottom depth data of starting well A and endpoint B.

[0092] For example, for example, the relative top depth of the top of the target configuration of starting well A from the reference top and bottom range D0 is D2-D0, and the relative bottom depth of the bottom from the reference top and bottom range D0 is D3-D0; the relative top depth of the top of the target configuration of starting well B from the reference top and bottom range D0 is D4-D0, and the relative bottom depth of the bottom from the reference top and bottom range D0 is D5-D0. If the relative bottom depth from the top of starting well B to the reference top and bottom range D0 and the relative top depth from the bottom of starting well A to the reference top and bottom range D0 are greater than or equal to the relative top depth from the top of starting well A to the reference top and bottom range D0 and less than or equal to the relative bottom depth from the bottom of starting well B to the reference top and bottom range D0, that is, if D2-D0<=D4-D0 AND D3-D0>=D5-D0, then it can be determined that the target reservoir at this time is type one.

[0093] According to the top depth data and bottom depth data of the target configuration of the starting well in the target reservoir, and the top depth data and bottom depth data of the target configuration of the endpoint well in the target reservoir, the thickness of the target configuration of the starting well and the endpoint well is calculated, and the largest thickness is taken as the maximum thickness of the target configuration of the starting well and the endpoint well in the target reservoir. When there is more than one identical maximum value, the maximum value close to the top is taken as the maximum thickness of the target configuration of the starting well and the endpoint well in the target reservoir.

[0094] For example, Figure 4 As shown in Type 1, the target configuration depth for starting well A is D3-D2; the target configuration depth for starting well B is D5-D4. As can be seen from the figure, the target configuration depth D3-D2 for starting well A is greater than the target configuration depth D5-D4 for starting well B. Therefore, the maximum thickness of the target configuration for the starting and ending wells in the target reservoir is D5-D4. The overlap thickness of the target configuration for the other types of starting and ending wells in the figure, as well as the maximum thickness of the target configuration for the starting and ending wells in the target reservoir, are calculated using the same method and are not further explained here.

[0095] Optionally, when the target configuration portion of the target reservoir of the starting well A or the ending well B is outside the reference top and bottom range of the target reservoir, the overlapping portion of the starting well A and the ending well B can be determined based on the top depth data and bottom depth data of the target configuration of the starting well in the target reservoir, as well as the top depth data and bottom depth data of the target configuration of the ending well in the target reservoir, thereby determining the overlapping thickness of the target configurations of the starting well and the ending well in the target reservoir.

[0096] For example, Figure 5 As shown in type 1, the top data of the starting well A is D2, and the bottom data is D3; the top data of the ending well B is D4, and the bottom data is D5. Then, the overlapping thickness of the target configuration of the starting well and the ending well in the target reservoir is HD = D5-D4.

[0097] Further, before calculating the overlapping thickness, it is necessary to first determine the type based on the reference top and bottom ranges of the target reservoir, the top depth data and bottom depth data of the target configuration of the starting well in the target reservoir, and the top depth data and bottom depth data of the target configuration of the ending well in the target reservoir. For example, the top data of the starting well A is D2, and the bottom data is D3; the top data of the ending well B is D4, and the bottom data is D5; the reference top and bottom range of the target reservoir is D0; the reference bottom range of the target reservoir is D1. When the top data D2 of A is less than the reference top and bottom range D0 of the target reservoir, and the bottom data D3 of the starting well A is greater than the reference bottom range D1 of the target reservoir, and the top data D4 of the ending well B is greater than the reference top and bottom range D0 of the target reservoir, and the bottom data D5 of the ending well B is less than the reference bottom range D1 of the target reservoir, that is, IF D2 < D0 AND D3 > D1 AND D4 > D0 AND D5 < D1, then it can be determined that the target reservoir is of type one at this time.

[0098] The maximum thickness of the target configuration of the starting well and the ending well in the target reservoir has been described in the above steps, and will not be elaborated here.

[0099] Optionally, when the target configurations of the starting well A and the ending well B in the target reservoir are both outside the reference top and bottom range of the target reservoir. Determine the overlapping thickness and the maximum thickness of the target configurations of the starting well and the ending well in the target reservoir based on the reference top and bottom range of the target reservoir, the top depth data and bottom depth data of the target configuration of the starting well in the target reservoir, and the top depth data and bottom depth data of the target configuration of the ending well in the target reservoir. The same determination method as when the target configuration of part of the starting well A or the ending well B in the target reservoir is outside the reference top and bottom range of the target reservoir is adopted, and will not be elaborated here.

[0100] Step S4: Determine the depth connectivity coefficient based on the overlapping thickness and the maximum thickness.

[0101] Determine the depth connectivity coefficient based on the overlapping thickness and the maximum thickness, which can be determined by the following formula:

[0102] DR = HD / HDX

[0103] Where, HDX is the maximum thickness of the target configurations of the starting well and the ending well in the target reservoir; HD is the overlapping thickness of the target configurations of the starting well and the ending well in the target reservoir, and DR is the depth connectivity coefficient.

[0104] S130: Determine the comprehensive connectivity coefficient based on the angular connectivity coefficient, longitudinal connectivity coefficient, transverse connectivity coefficient and depth connectivity coefficient of the target reservoir.

[0105] The comprehensive connectivity coefficient is used to represent the connectivity between the starting well and the end well. The comprehensive connectivity coefficient can be represented by a numerical value. For example, a value of 0 for the comprehensive connectivity coefficient can be set to indicate connectivity between the starting well and the end well in the target reservoir, while a value of 1 for the comprehensive connectivity coefficient can be set to indicate no connectivity between the starting well and the end well in the target reservoir. However, this embodiment does not limit the specific value range of the comprehensive connectivity coefficient or the relationship between different values ​​and the connectivity between the starting well and the end well in the target reservoir.

[0106] Optionally, determining a comprehensive connectivity coefficient based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient, and the depth connectivity coefficient of the target reservoir includes steps E1-E3:

[0107] Step E1: determining a first comprehensive connectivity coefficient of the target reservoir according to the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient, the depth connectivity coefficient and the first discriminant formula of the target reservoir.

[0108] The first comprehensive connectivity coefficient is used to indicate the degree of connectivity between the starting well and the end well in the target reservoir.

[0109] For example, after the well positions in the map are digitized, the starting well A and the end well B are selected in small layers. The angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir are calculated based on the data of the starting well A and the end well B. By substituting them into the first discriminant formula, the first comprehensive connectivity coefficient of the target reservoir can be obtained.

[0110] Among them, the first discriminant formula is as follows:

[0111] Y0=A1*DR+B1*HR+C1*ZR+D1*AR+E1

[0112] Among them, AR is the angular connectivity coefficient; DR is the depth connectivity coefficient; ZR is the longitudinal connectivity coefficient; HR is the lateral connectivity coefficient; A1 is the parameter of the depth connectivity coefficient; B1 is the parameter of the lateral connectivity coefficient; C1 is the parameter of the longitudinal connectivity coefficient; D1 is the parameter of the angular connectivity coefficient; E1 is a constant.

[0113] Furthermore, the first discriminant formula can be obtained through data statistics. Specifically, as shown in Table 3, 18 well pairs were selected as historical reservoir data. The angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient, and depth connectivity coefficient were calculated based on the historical reservoir data. Based on the calculated angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient, and depth connectivity coefficient, as well as the comprehensive connectivity coefficient corresponding to the connectivity of the historical reservoir, the parameters of the first discriminant formula were obtained through data statistics.

[0114] Table 3 Well pair connectivity coefficient and connectivity

[0115]

[0116]

[0117] For example, data statistics can be analyzed using SPSS discriminant analysis. SPSS is a professional, general-purpose statistical software package. It is also a combined software package that combines data management, statistical analysis, statistical plotting, and statistical reporting functions. Using SPSS discriminant analysis, the coefficient values ​​for the first and second discriminant formulas in the table below are obtained, as shown in Table 4.

[0118] Table 4 Coefficient values ​​of the first and second discriminant formulas

[0119]

[0120] According to Table 4, coefficient A1 is 3.128, coefficient B1 is 0.017, coefficient C1 is 0.019, coefficient D1 is 1.465, and coefficient E1 is -1.757. Therefore, the first discriminant formula is as follows:

[0121] Y0=3.128DR+0.017HR+0.019ZR+1.465AR-1.757

[0122] Step E2: determining a second comprehensive connectivity coefficient of the target reservoir according to the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient, the depth connectivity coefficient and the second discriminant formula of the target reservoir.

[0123] The second comprehensive connectivity coefficient represents the degree of disconnection between the starting and ending wells in the target reservoir. For example, after the well locations are digitized in the map, starting well A and ending well B are selected in sub-layers. Based on the data from starting well A and ending well B, the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient, and depth connectivity coefficient of the target reservoir are calculated. These coefficients are then applied to the second discriminant formula to obtain the second comprehensive connectivity coefficient of the target reservoir.

[0124] Among them, the second discriminant formula is as follows:

[0125] Y1=A2*DR+B2*HR+C2*ZR+D2*AR+E2

[0126] Among them, AR is the angular connectivity coefficient; DR is the depth connectivity coefficient; ZR is the longitudinal connectivity coefficient; HR is the lateral connectivity coefficient; A2 is the parameter of the depth connectivity coefficient; B2 is the parameter of the lateral connectivity coefficient; C2 is the parameter of the longitudinal connectivity coefficient; D2 is the parameter of the angular connectivity coefficient; E2 is a constant.

[0127] For example, the second discriminant formula can be obtained according to SPSS discriminant analysis. As shown in Table 4, the coefficient A2 of the second discriminant formula is 6.787, the coefficient B2 is 0.032, the coefficient C2 is 0.22, the coefficient D2 is -4.921, and the coefficient E2 is -5.235. Therefore, the second discriminant formula is as follows:

[0128] Y1=6.787DR+0.032HR+0.22ZR-4.921AR-5.235

[0129] Step E3: Determine a comprehensive connectivity coefficient based on the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient.

[0130] According to the relationship between the obtained first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient, the comprehensive connectivity coefficient is determined to be 0 or 1, where 0 indicates that the reservoir is connected, and 1 indicates that the reservoir is not connected.

[0131] Optionally, determining the comprehensive connectivity coefficient according to the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient includes step F1:

[0132] Step F1: If it is determined that the first comprehensive connectivity coefficient is greater than the second comprehensive connectivity coefficient, the comprehensive connectivity coefficient is determined to be 0.

[0133] Specifically, if the first comprehensive connectivity coefficient Y0>the second comprehensive connectivity coefficient Y1, the comprehensive connectivity coefficient is 0.

[0134] Step F2: Otherwise, determine the comprehensive connectivity coefficient to be 1.

[0135] Specifically, if the first comprehensive connectivity coefficient Y0 is less than the second comprehensive connectivity coefficient Y1, the comprehensive connectivity coefficient is 1.

[0136] S140. Determine the connectivity of the starting well and the ending well in the target reservoir based on the comprehensive connectivity coefficient.

[0137] According to whether the obtained comprehensive connectivity coefficient is 0 or 1, it is determined whether the starting well and the end well are connected or not in the target reservoir.

[0138] Optionally, the connectivity of the starting well and the ending well in the target reservoir is determined based on the comprehensive connectivity coefficient, including steps G1-G2:

[0139] Step G1: If the comprehensive connectivity coefficient is determined to be 0, it is determined that the starting well and the end well are connected in the target reservoir.

[0140] Step G2: If the comprehensive connectivity coefficient is determined to be 1, it is determined that the starting well and the end well have no connectivity in the target reservoir.

[0141] The technical solution of the embodiment of the present invention calculates the comprehensive connectivity coefficient of the starting well and the end point well in the target reservoir based on the angular connectivity coefficient, longitudinal connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the starting well and the end point well in the target reservoir, and determines the connectivity of the starting well and the end point well in the target reservoir based on the comprehensive connectivity coefficient. While improving the accuracy of discrimination, it greatly improves work efficiency and achieves good results.

[0142] Example 2

[0143] Figure 7 This is a schematic diagram of a device for determining reservoir connectivity provided in Example 2 of the present invention. Figure 7 As shown, the device includes: a data determination module 210, a coefficient determination module 220, a comprehensive connectivity coefficient determination module 230, and a connectivity determination module 240, wherein:

[0144] Data determination module 210: used to obtain coordinate data and reservoir configuration data of the starting well and the ending well;

[0145] Coefficient determination module 220: used to determine the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the end well and the reservoir configuration data;

[0146] Comprehensive connectivity coefficient determination module 230: used to determine the comprehensive connectivity coefficient based on the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir;

[0147] Connectivity determination module 240 is used to determine the connectivity of the starting well and the end well in the target reservoir according to the comprehensive connectivity coefficient.

[0148] Optionally, the coefficient determination module 220 includes:

[0149] Well azimuth determination unit: used to determine the well azimuth according to the coordinate data of the starting well and the end well;

[0150] Angle connectivity coefficient determination unit: used to determine the angular connectivity coefficient of the target reservoir based on the absolute value of the difference between the well azimuth and the water flow azimuth of the target reservoir during the single-layer deposition period.

[0151] Optionally, the coefficient determination module 220 includes:

[0152] The vertical conversion distance determination unit is used to determine the vertical conversion distance between the starting well and the end well according to the coordinate data of the starting well and the end well, and the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer sedimentation period of the target reservoir;

[0153] A length mean determination unit is used to determine the length mean of the target configuration of the starting well and the end well in the target reservoir according to the reservoir configuration data of the starting well and the end well;

[0154] A longitudinal connectivity coefficient determination unit is used to determine the longitudinal connectivity coefficient of the target reservoir according to the longitudinal converted distance and the length mean.

[0155] Optionally, the coefficient determination module 220 includes:

[0156] Transverse conversion distance determination unit: used to determine the transverse conversion distance between the starting well and the end well according to the coordinate data of the starting well and the end well, and the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer sedimentation period of the target reservoir;

[0157] A width mean determination unit is used to determine the width mean of the target configuration of the starting well and the end well in the target reservoir according to the reservoir configuration data of the starting well and the end well;

[0158] A lateral connectivity coefficient determination unit is configured to determine the lateral connectivity coefficient of the target reservoir according to the lateral converted distance and the width mean.

[0159] Optionally, the coefficient determination module 220 includes:

[0160] Benchmark top and bottom range determination unit: used to determine the benchmark top and bottom range of the target reservoir;

[0161] Data determination unit: used to determine the top depth data and bottom depth data of the target configuration of the starting well in the target reservoir, and to determine the top depth data and bottom depth data of the target configuration of the end well in the target reservoir;

[0162] A maximum thickness determination unit is configured to determine the overlapping thickness of the target configuration of the starting well and the end point well in the target reservoir, and the maximum thickness of the target configuration of the starting well and the end point well in the target reservoir according to the reference top and bottom range of the target reservoir, the top depth data and the bottom depth data of the target configuration of the starting well in the target reservoir, and the top depth data and the bottom depth data of the target configuration of the end point well in the target reservoir;

[0163] A depth connectivity coefficient determining unit is configured to determine a depth connectivity coefficient according to the overlap thickness and the maximum thickness.

[0164] Optionally, the comprehensive connectivity coefficient determination module 230 includes:

[0165] a first comprehensive connectivity coefficient determining unit configured to determine a first comprehensive connectivity coefficient of the target reservoir based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient, the depth connectivity coefficient, and the first discriminant formula of the target reservoir; wherein the first comprehensive connectivity coefficient is used to indicate the degree of connectivity between the starting well and the end well in the target reservoir;

[0166] a second comprehensive connectivity coefficient determining unit configured to determine a second comprehensive connectivity coefficient of the target reservoir based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient, the depth connectivity coefficient, and the second discriminant formula of the target reservoir; wherein the second comprehensive connectivity coefficient is used to indicate the degree of disconnection between the starting well and the end well in the target reservoir;

[0167] Comprehensive connectivity coefficient determination unit: used to determine the comprehensive connectivity coefficient based on the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient.

[0168] Optionally, a comprehensive connectivity coefficient determination unit is used to:

[0169] If it is determined that the first comprehensive connectivity coefficient is greater than the second comprehensive connectivity coefficient, then the comprehensive connectivity coefficient is determined to be 0;

[0170] Otherwise, the comprehensive connectivity coefficient is determined to be 1;

[0171] Optionally, the connectivity determination module 240 includes:

[0172] Connectivity determination unit: used to determine whether the starting well and the end well have connectivity in the target reservoir if the comprehensive connectivity coefficient is determined to be 0.

[0173] Non-connectivity determination unit: used to determine that the starting well and the end well have no connectivity in the target reservoir if the comprehensive connectivity coefficient is determined to be 1.

[0174] The apparatus for determining reservoir connectivity provided in the embodiment of the present invention can execute the method for determining reservoir connectivity provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0175] Example 3

[0176] Figure 8 A schematic diagram of the structure of an electronic device provided for embodiment three of the present invention. 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 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0177] like Figure 8As 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.

[0178] 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.

[0179] The processor 11 may be any general-purpose and / or specialized processing component with processing and computing capabilities. Examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors for running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for determining reservoir connectivity.

[0180] In some embodiments, the reservoir connectivity determination method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the reservoir connectivity determination method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to execute the reservoir connectivity determination method in any other suitable manner (e.g., via firmware).

[0181] 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.

[0182] 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.

[0183] 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.

[0184] 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).

[0185] 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.

[0186] 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.

[0187] 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.

[0188] 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 reservoir connectivity, characterized in that: include: Obtaining coordinate data and reservoir configuration data of the starting well and the ending well; Determine the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient, and depth connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the end well and the reservoir configuration data; Wherein, the angular connectivity coefficient is expressed as: AR = (90-G) / 90; Wherein, the longitudinal connectivity coefficient is expressed as: ZR=LGX / LABZ; LABZ = LAB*1.88*cosG; Wherein, the lateral connectivity coefficient is expressed as: HR = WGX / LABH; LABH=LAB*1.88*sinG; Wherein, the depth connectivity coefficient is expressed as: DR = HD / HDX; Wherein, G is the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, in degrees; AR is the angular connectivity coefficient; LGX is the average length of the target configuration of the starting well and the terminal well in the target reservoir; LABZ is the longitudinal conversion distance between the starting well and the terminal well; ZR is the longitudinal connectivity coefficient value; LAB is the distance between the starting well A and the terminal well B; G is the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, in degrees; LABZ is the longitudinal conversion distance between the starting well and the terminal well; LABH is the lateral conversion distance between the starting well and the terminal well; WGX is the average width of the target configuration of the starting well and the terminal well in the target reservoir; HDX is the maximum thickness of the target configuration of the starting well and the terminal well in the target reservoir; HD is the overlapping thickness of the target configuration of the starting well and the terminal well in the target reservoir; DR is the depth connectivity coefficient; HR is the lateral connectivity coefficient; Determine the comprehensive connectivity coefficient based on the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir; The method of determining the comprehensive connectivity coefficient based on the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient, and the depth connectivity coefficient of the target reservoir includes: Determining a first comprehensive connectivity coefficient of the target reservoir based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient, the depth connectivity coefficient, and the first discriminant formula of the target reservoir; wherein the first comprehensive connectivity coefficient is used to represent the degree of connectivity between the starting well and the end well in the target reservoir; Wherein, the first discriminant formula is expressed as: Y0=A1*DR+B1*HR+C1*ZR+D1*AR+E1; Among them, AR is the angular connectivity coefficient; DR is the depth connectivity coefficient; ZR is the longitudinal connectivity coefficient; HR is the transverse connectivity coefficient; A1 is the parameter of the depth connectivity coefficient; B1 is the parameter of the transverse connectivity coefficient; C1 is the parameter of the longitudinal connectivity coefficient; D1 is the parameter of the angular connectivity coefficient; E1 is a constant; Determining a second comprehensive connectivity coefficient of the target reservoir based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient, the depth connectivity coefficient, and the second discriminant formula of the target reservoir; wherein the second comprehensive connectivity coefficient is used to indicate the degree of disconnection between the starting well and the end well in the target reservoir; Among them, the second discriminant formula is expressed as: Y1=A2*DR+B2*HR+C2*ZR+D2*AR+E2; Among them, AR is the angular connectivity coefficient; DR is the depth connectivity coefficient; ZR is the longitudinal connectivity coefficient; HR is the transverse connectivity coefficient; A2 is the parameter of the depth connectivity coefficient; B2 is the parameter of the transverse connectivity coefficient; C2 is the parameter of the longitudinal connectivity coefficient; D2 is the parameter of the angular connectivity coefficient; E2 is a constant; determining a comprehensive connectivity coefficient according to the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient; The determining of the comprehensive connectivity coefficient according to the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient includes: If it is determined that the first comprehensive connectivity coefficient is greater than the second comprehensive connectivity coefficient, then determining the comprehensive connectivity coefficient to be 0; Otherwise, the comprehensive connectivity coefficient is determined to be 1; Based on the comprehensive connectivity coefficient, the connectivity of the starting well and the terminal well in the target reservoir is determined, including: If the comprehensive connectivity coefficient is determined to be 0, it is determined that the starting well and the terminal well are connected in the target reservoir; If the comprehensive connectivity coefficient is determined to be 1, it is determined that the starting well and the terminal well have no connectivity in the target reservoir; based on the comprehensive connectivity coefficient, the connectivity between the starting well and the terminal well in the target reservoir is determined.

2. The method according to claim 1, characterized in that According to the coordinate data of the starting well and the end well and the reservoir configuration data, the angular connectivity coefficient of the target reservoir is determined, including: Determine the well azimuth according to the coordinate data of the starting well and the end well; The angular connectivity coefficient of the target reservoir is determined based on the absolute value of the difference between the well azimuth and the water flow azimuth of the target reservoir during the single-layer deposition period.

3. The method according to claim 2, characterized in that Based on the coordinate data of the starting well and the end well and the reservoir configuration data, the vertical connectivity coefficient of the target reservoir is determined, including: The vertical conversion distance between the starting well and the terminal well is determined based on the coordinate data of the starting well and the terminal well, and the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer sedimentation period of the target reservoir; Determine the average length of the target configuration of the starting well and the ending well in the target reservoir according to the reservoir configuration data of the starting well and the ending well; The vertical connectivity coefficient of the target reservoir is determined according to the vertical converted distance and the mean length.

4. The method according to claim 2, characterized in that Based on the coordinate data of the starting well and the end well and the reservoir configuration data, the lateral connectivity coefficient of the target reservoir is determined, including: Determine the lateral conversion distance between the starting well and the ending well based on the coordinate data of the starting well and the ending well, and the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer sedimentation period of the target reservoir; Determine the average width of the target configuration of the starting well and the ending well in the target reservoir according to the reservoir configuration data of the starting well and the ending well; The lateral connectivity coefficient of the target reservoir is determined according to the lateral converted distance and the average width.

5. The method according to claim 1, wherein Determine the depth connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the end well and the reservoir configuration data, including: Determine the benchmark top and bottom range of the target reservoir; Determining top depth data and bottom depth data of a target configuration of a starting well in a target reservoir, and determining top depth data and bottom depth data of a target configuration of an ending well in the target reservoir; Determining the overlapping thickness of the target configuration of the starting well and the end point well in the target reservoir, and the maximum thickness of the target configuration of the starting well and the end point well in the target reservoir based on the benchmark top and bottom ranges of the target reservoir, the top depth data and the bottom depth data of the target configuration of the starting well in the target reservoir, and the top depth data and the bottom depth data of the target configuration of the end point well in the target reservoir; A depth connectivity coefficient is determined according to the overlapping thickness and the maximum thickness.

6. A device for determining reservoir connectivity, characterized in that: include: A data determination module is used to obtain the coordinate data of the starting well and the end well and the reservoir configuration data; A coefficient determination module is used to determine the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir based on the coordinate data of the starting well and the end well and the reservoir configuration data; Wherein, the angular connectivity coefficient is expressed as: AR = (90-G) / 90; Wherein, the longitudinal connectivity coefficient is expressed as: ZR=LGX / LABZ; LABZ = LAB*1.88*cosG; Wherein, the lateral connectivity coefficient is expressed as: HR = WGX / LABH; LABH=LAB*1.88*sinG; Wherein, the depth connectivity coefficient is expressed as: DR = HD / HDX; Wherein, G is the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, in degrees; AR is the angular connectivity coefficient; LGX is the average length of the target configuration of the starting well and the terminal well in the target reservoir; LABZ is the longitudinal conversion distance between the starting well and the terminal well; ZR is the longitudinal connectivity coefficient value; LAB is the distance between the starting well A and the terminal well B; G is the absolute value of the difference between the well azimuth and the water flow azimuth during the single-layer deposition period of the target reservoir, in degrees; LABZ is the longitudinal conversion distance between the starting well and the terminal well; LABH is the lateral conversion distance between the starting well and the terminal well; WGX is the average width of the target configuration of the starting well and the terminal well in the target reservoir; HDX is the maximum thickness of the target configuration of the starting well and the terminal well in the target reservoir; HD is the overlapping thickness of the target configuration of the starting well and the terminal well in the target reservoir; DR is the depth connectivity coefficient; HR is the lateral connectivity coefficient; A comprehensive connectivity coefficient determination module is used to determine the comprehensive connectivity coefficient based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir; The comprehensive connectivity coefficient determination module includes: A first comprehensive connectivity coefficient determining unit is configured to determine a first comprehensive connectivity coefficient of the target reservoir based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient, the depth connectivity coefficient, and the first discriminant formula of the target reservoir; wherein the first comprehensive connectivity coefficient is used to represent the degree of connectivity between the starting well and the end well in the target reservoir; Wherein, the first discriminant formula is expressed as: Y0=A1*DR+B1*HR+C1*ZR+D1*AR+E1; Among them, AR is the angular connectivity coefficient; DR is the depth connectivity coefficient; ZR is the longitudinal connectivity coefficient; HR is the transverse connectivity coefficient; A1 is the parameter of the depth connectivity coefficient; B1 is the parameter of the transverse connectivity coefficient; C1 is the parameter of the longitudinal connectivity coefficient; D1 is the parameter of the angular connectivity coefficient; E1 is a constant; A second comprehensive connectivity coefficient determining unit is configured to determine a second comprehensive connectivity coefficient of the target reservoir based on the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient, the depth connectivity coefficient, and the second discriminant formula of the target reservoir; wherein the second comprehensive connectivity coefficient is used to indicate the degree of disconnection between the starting well and the end well in the target reservoir; Among them, the second discriminant formula is expressed as: Y1=A2*DR+B2*HR+C2*ZR+D2*AR+E2; Among them, AR is the angular connectivity coefficient; DR is the depth connectivity coefficient; ZR is the longitudinal connectivity coefficient; HR is the transverse connectivity coefficient; A2 is the parameter of the depth connectivity coefficient; B2 is the parameter of the transverse connectivity coefficient; C2 is the parameter of the longitudinal connectivity coefficient; D2 is the parameter of the angular connectivity coefficient; E2 is a constant; A comprehensive connectivity coefficient determining unit: configured to determine a comprehensive connectivity coefficient based on the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient; The comprehensive connectivity coefficient determination unit is specifically configured to: If it is determined that the first comprehensive connectivity coefficient is greater than the second comprehensive connectivity coefficient, then determining the comprehensive connectivity coefficient to be 0; Otherwise, the comprehensive connectivity coefficient is determined to be 1; Wherein, the connectivity determination module includes: Connectivity determination unit: used to determine whether the starting well and the end well are connected in the target reservoir if the comprehensive connectivity coefficient is determined to be 0; Non-connectivity determination unit: used to determine that the starting well and the end well have no connectivity in the target reservoir if the comprehensive connectivity coefficient is determined to be 1; The connectivity determination module is used to determine the connectivity of the starting well and the end well in the target reservoir based on the comprehensive connectivity coefficient.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for determining reservoir connectivity according to any one of claims 1 to 5 is implemented.

8. A storage medium storing computer executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, the computer executable instructions are used to perform the reservoir connectivity determination method according to any one of claims 1 to 5.

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