Method for quantitatively judging connectivity of glutenite reservoir

Abstract

The invention discloses a glutenite reservoir connectivity quantitative discrimination method. The method comprises the following steps: acquiring coordinate data and reservoir configuration data of a starting point well and an end point well; determining an angle connectivity coefficient, a longitudinal connectivity coefficient, a transverse connectivity coefficient and a depth connectivity coefficient of the target reservoir according to the coordinate data of the starting point well and the terminal point well and the reservoir configuration data; determining a comprehensive connectivity coefficient according to the angle connectivity coefficient, the longitudinal connectivity coefficient, the transverse connectivity coefficient and the depth connectivity coefficient of the target reservoir; and determining the connectivity of the starting point well and the end point well in the target reservoir according to the comprehensive connectivity coefficient. According to the method, the working efficiency is greatly improved while the judgment accuracy is improved, and a relatively good effect is achieved.

Description

Technical Field

[0001] The 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] At present, in oil and gas development, the commonly used reservoir well connectivity evaluation methods mainly include using development dynamic data, logging curve data, seismic data or tracer data to judge reservoir well connectivity. However, since the reservoir connectivity between injection and production wells is also affected by many factors such as fracturing transformation and development progress, using development dynamic data to judge reservoir well connectivity is likely to produce wrong conclusions; using logging curve data to judge reservoir well connectivity has multiple solutions; using seismic data to judge reservoir connectivity has great limitations in data accuracy; using tracer data to judge reservoir connectivity between wells, because tracers can generally only reflect the connectivity characteristics of large sections of formations, they cannot reflect the connectivity characteristics of wells between single layers. Summary of the invention

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

[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 end well;

[0007] According to the coordinate data of the starting well and the end well and the reservoir configuration data, the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir are determined;

[0008] Determine the comprehensive connectivity coefficient according to the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the 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 and reservoir configuration data of the starting well and the end well;

[0012] A coefficient determination module is used to determine the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir according to 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 according to the angular connectivity coefficient, the longitudinal 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 according to 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, wherein the computer executable instructions, when executed by a computer processor, are used to execute a method for determining reservoir connectivity 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 according to 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 according to the comprehensive connectivity coefficient, thereby greatly improving the work efficiency while improving the accuracy of discrimination and achieving better results.

[0018] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily 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 Embodiment 1 of the present invention;

[0021] Figure 2A coordinate system diagram of a starting well and an end well provided in the first embodiment 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 the first embodiment of the present invention;

[0023] Figure 4 The reservoir correspondence mode 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 end 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 end well outside the reference top and bottom range (simultaneously) provided in the first embodiment of the present invention;

[0026] Figure 7 A schematic diagram of the structure of a device for determining reservoir connectivity provided in Embodiment 2 of the present invention;

[0027] Figure 8 A schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 described embodiments 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 creative work should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification 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 data 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 that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Embodiment 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 end well.

[0033] Reservoir configuration data may be data that can characterize the morphology, scale, direction and superposition relationship of different levels of constituent units within the reservoir. Reservoir configuration data may include: reservoir configuration identification results and reservoir configuration scale characteristics, reservoir configuration scale characteristics may include: horizon name, top layer data, bottom layer data, single layer thickness, lithology, natural gamma parameter, resistivity, four-level configuration and manually identified four-level configuration, etc., reservoir configuration scale characteristics may include: four-level configuration, five-level configuration, subphase and length and width of different subphases, etc., reservoir configuration scale characteristics and some data of reservoir configuration scale characteristics 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. And the starting well and the end well position 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 longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir according to the coordinate data of the starting well and the end well and the reservoir configuration data.

[0042] The target reservoir may be a reservoir that needs to be confirmed for connectivity. In this embodiment, the inter-well connectivity is determined in units of reservoirs. The angular connectivity coefficient is used to indicate the degree of angular connectivity. Specifically, it may be the angle between the direction of the line connecting the starting well to the end well and the direction of the main water flow line of the single layer. Its value is equal to the absolute value of the difference between 90° and the angle divided by 90°. The longitudinal connectivity coefficient is used to indicate the degree of connectivity of the target reservoir in the longitudinal direction. Specifically, it may be the ratio of the mean length of the target reservoir to the distance from the starting well to the end well in the longitudinal direction. The lateral connectivity coefficient is used to indicate the degree of connectivity of the target reservoir in the lateral direction. Specifically, it may be the ratio of the mean width of the target reservoir to the distance from the starting well to the end well in the lateral direction. The depth connectivity coefficient indicates the degree of connectivity of the target configuration in the target reservoir in depth. Specifically, it may be the overlap depth value of the start and end depths of the target configuration of the starting well and the start and end depths of the target configuration of the end well, divided by the ratio of the thickness of the starting well and the end well, whichever is greater.

[0043] Optionally, determining the angular connectivity coefficient of the target reservoir according to the coordinate data of the starting well and the end 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, according to the established starting well and terminal well location coordinate system, for any two wells A and B, the coordinates of the starting well A are set to (x1, y1); the coordinates of the terminal well B are set to (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] Optionally, 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 due 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] Optionally, the angular connectivity coefficient of the target reservoir is determined 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, which can be determined by the following formula:

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

[0054] Among them, G is 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, in degrees; AR is the angular connectivity coefficient.

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

[0056] Step B1, determining the longitudinal converted distance between the starting well and the terminal well according to 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 of the single-layer deposition period of the target reservoir.

[0057] Optionally, 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 end well is determined 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 deposition period of the target reservoir, which can be determined by the following formula:

[0061] LABZ=LAB*1.88*cosG

[0062] Among them, 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 of 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-point well and the end-point well in the target reservoir according to the reservoir configuration data of the start-point well and the end-point well.

[0064] The target configuration may be a dominant configuration, which means that among different sand body configurations, the configuration with the largest thickness is the dominant configuration, such as sand body configuration 1, thickness 1m; sand body configuration 2, thickness 2m, the dominant configuration is sand body configuration 2.

[0065] The dominant configuration of the target reservoir is determined according to the reservoir configuration data of the starting well and the end well, and then the length average LGX of the dominant configuration of wells A and B in the layer is calculated according to 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 length mean.

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

[0068] ZR=LGX / LABZ

[0069] Among them, 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.

[0070] Optionally, the lateral 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 C1-C3:

[0071] Step C1, determining the lateral converted distance between the starting well and the terminal well according to 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 of the single-layer deposition period of the target reservoir.

[0072] Optionally, the vertical conversion distance between the starting well and the end well is determined 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 deposition period of the target reservoir, which can be determined by the following formula:

[0073] LABH=LAB*1.88*sinG

[0074] Among them, LAB is the distance between the starting well A and the end well B; G is the absolute value of the difference between the well azimuth and the water flow azimuth of the single-layer sedimentation period of the target reservoir, in degrees; LABH is the lateral conversion distance between the starting well and the end well.

[0075] Step C2: Determine the average width of the target configuration of the start-point well and the end-point well in the target reservoir according to the reservoir configuration data of the start-point well and the end-point well.

[0076] The dominant configuration of the target reservoir is determined according to the reservoir configuration data of the starting well and the end well, and then the width average WGX of the dominant configuration of wells A and B in the layer is calculated according to 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 according to the lateral converted distance and the mean width, which can be determined by the following formula:

[0079] HR=WGX / LABH

[0080] Among them, 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 according to the coordinate data of the starting well and the end well and the reservoir configuration data, including steps S1-S4:

[0082] Step S1, determining the reference 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 four-level dominant configuration are taken out 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 , the starting well and the end well of the target reservoir are both within the range of the benchmark top layer; Figure 5 As shown, part of the starting well or the end well of the target reservoir is outside the range of the benchmark top layer; Figure 6 As shown, portions of the starting well and the ending well 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 the 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, 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 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.

[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, and 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 configuration 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 overlapping thickness, it is necessary to determine the type according to 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 terminal well in the target reservoir, that is, when the target configurations of the target reservoirs of the starting well A and the terminal well B are both within the reference top and bottom range of the target reservoir. The reference 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, the depth of the top and bottom of the target configuration of the starting well A and the terminal well B from the reference top and bottom range of the target reservoir is calculated according to the top depth data and bottom depth data of the target configuration of the starting well A and the terminal well B in the target reservoir, and the calculated depth is used as the relative top depth and relative bottom depth data of the starting well A and the terminal well B.

[0092] 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. When 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 are 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-D0AND D3-D0>=D5-D0, 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 are more than one identical maximum values, 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 depth of the target configuration of starting well A is D3-D2; the depth of the target configuration of starting well B is D5-D4. As can be seen from the figure, the depth D3-D2 of the target configuration of starting well A is greater than the depth D5-D4 of the target configuration of starting well B. Therefore, the maximum thickness of the target configuration of the starting well and the end well in the target reservoir is D5-D4. The overlapping thickness of the target configuration of other types of starting wells and end wells in the target reservoir, as well as the maximum thickness of the target configuration of the starting well and the end well in the target reservoir are calculated in the same way, and will not be repeated 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, and 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 configuration 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. According to 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, determine the overlapping thickness of the target configurations of the starting well and the ending well in the target reservoir, and the maximum thickness of the target configurations of the starting well and the ending well in the target reservoir. The same determination method as when the target configuration of the starting well A or the ending well B in the target reservoir is partially 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 according to the overlapping thickness and the maximum thickness.

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

[0102] DR = HD / HDX

[0103] Wherein, 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 according to the angular connectivity coefficient, longitudinal connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir.

[0105] Among them, the comprehensive connectivity coefficient is used to represent the connectivity between the starting well and the terminal well. The comprehensive connectivity coefficient can be represented by a numerical value. For example, when the comprehensive connectivity coefficient is set to 0, the corresponding starting well and the terminal well are connected in the target reservoir, and when the comprehensive connectivity coefficient is set to 1, the corresponding starting well and the terminal well are not connected in the target reservoir. However, this embodiment does not limit the specific value range of the comprehensive connectivity coefficient and the corresponding relationship between different values ​​and the connectivity between the starting well and the terminal well in the target reservoir.

[0106] Optionally, determining a comprehensive connectivity coefficient according to the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir comprises 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, and the angular connectivity coefficient, longitudinal 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 by means of data statistics. Specifically, as shown in Table 3, 18 well pairs are selected as historical reservoir data, and the angle connectivity coefficient, the vertical connectivity coefficient, the horizontal connectivity coefficient and the depth connectivity coefficient are calculated according to the historical reservoir data. According to the calculated angle connectivity coefficient, the vertical connectivity coefficient, the horizontal connectivity coefficient and the depth connectivity coefficient and the comprehensive connectivity coefficient corresponding to the connectivity of the historical reservoir, the parameters of the first discriminant formula are obtained by means of 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, where SPSS is a set of professional and general statistical software packages, and it is also a combined software package that has data management, statistical analysis, statistical drawing and statistical reporting functions. Using SPSS discriminant analysis, the coefficient values ​​of the first discriminant formula and the second discriminant formula in the following table 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] Among them, the second comprehensive connectivity coefficient is used to indicate the degree of disconnection between the starting well and the terminal well in the target reservoir. For example, after the well positions in the map are digitized, the starting well A and the terminal well B are selected in small layers, and the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir are calculated based on the data of the starting well A and the terminal well B, and the second comprehensive connectivity coefficient of the target reservoir can be obtained by bringing them into the second discriminant formula.

[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, according to the SPSS discriminant analysis, the second discriminant formula can be obtained. 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 according to the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient.

[0130] According to the relationship between the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient, it is determined that the comprehensive connectivity coefficient is 0 or 1. 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 comprises 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 that the comprehensive connectivity coefficient is 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 end well in the target reservoir according to 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 end well in the target reservoir is determined according to 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 have connectivity 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 according to 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 according to the comprehensive connectivity coefficient, thereby greatly improving the work efficiency while improving the accuracy of discrimination and achieving better results.

[0142] Embodiment 2

[0143] Figure 7 This is a schematic diagram of the structure of a device for determining reservoir connectivity provided in Embodiment 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 end well;

[0145] Coefficient determination module 220: used to determine the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir according to 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 according to the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir;

[0147] Connectivity determination module 240: used to determine the connectivity of the start 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] Angular connectivity coefficient determination unit: used to determine 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 single-layer sedimentation period of the target reservoir.

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

[0152] The longitudinal conversion distance determination unit is used to determine the longitudinal conversion distance between the starting well and the terminal well according to 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 deposition period of the target reservoir;

[0153] The length mean determination unit is used to determine the length mean of the target configuration of the starting well and the terminal well in the target reservoir according to the reservoir configuration data of the starting well and the terminal 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 deposition period of the target reservoir;

[0157] A width mean value determination unit is used to determine the width mean value 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;

[0158] A lateral connectivity coefficient determination unit is used 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] A 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 point well in the target reservoir;

[0162] A maximum thickness determination unit is used 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 determination unit is used to determine the 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 determination unit is used to determine 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; 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 determination unit is used to determine 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; 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 according to the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient.

[0168] Optionally, a comprehensive connectivity coefficient determination unit is specifically 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] Embodiment 3

[0176] Figure 8 A schematic diagram of the structure of an electronic device provided for Embodiment 3 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 connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and 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 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0178] A number of 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 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 through a computer network such as the Internet and / or various telecommunication networks.

[0179] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a method for determining reservoir connectivity.

[0180] In some embodiments, the method for determining reservoir connectivity may 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 may 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 reservoir connectivity described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method for determining reservoir connectivity in any other appropriate manner (e.g., by means of firmware).

[0181] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including 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, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0183] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0184] To provide interaction with a user, the systems and techniques described herein may 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 a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0185] The systems and techniques described herein may be implemented in a computing system that includes backend 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 frontend components (e.g., a user computer with a graphical user interface or a 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 backend components, middleware components, or frontend components. The components of the system may 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 a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0187] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0188] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope 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 end well; According to the coordinate data of the starting well and the end well and the reservoir configuration data, the angular connectivity coefficient, the vertical connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir are determined; Determine the comprehensive connectivity coefficient according to the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir; According to the comprehensive connectivity coefficient, the connectivity of 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 According to 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: According to 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, the vertical conversion distance between the starting well and the ending well is determined; According to the reservoir configuration data of the starting well and the ending well, the average length of the target configuration of the starting well and the ending well in the target reservoir is determined; The longitudinal connectivity coefficient of the target reservoir is determined according to the longitudinal converted distance and the mean length.

4. The method according to claim 2, characterized in that: According to 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: According to 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, the lateral conversion distance between the starting well and the ending well is determined; 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 width mean.

5. 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 depth connectivity coefficient of the target reservoir is determined, including: Determine the benchmark top and bottom range of the target reservoir; Determine top depth data and bottom depth data of a target configuration of a starting point well in a target reservoir, and determine top depth data and bottom depth data of a target configuration of an end point well in the target reservoir; 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; A depth connectivity coefficient is determined according to the overlapping thickness and the maximum thickness.

6. The method according to claim 1, characterized in that According to the angular connectivity coefficient, vertical connectivity coefficient, lateral connectivity coefficient and depth connectivity coefficient of the target reservoir, the comprehensive connectivity coefficient is determined, including: Determine 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; 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; 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; 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; A comprehensive connectivity coefficient is determined according to the first comprehensive connectivity coefficient and the second comprehensive connectivity coefficient.

7. The method according to claim 6, characterized in that Determining a 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; According to 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 have connectivity in the target reservoir; 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.

8. A device for determining reservoir connectivity, characterized in that: include: A data determination module is used to obtain the coordinate data and reservoir configuration data of the starting well and the end well; A coefficient determination module is used to determine the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir according to the coordinate data of the starting well and the end well and the reservoir configuration data; A comprehensive connectivity coefficient determination module is used to determine the comprehensive connectivity coefficient according to the angular connectivity coefficient, the longitudinal connectivity coefficient, the lateral connectivity coefficient and the depth connectivity coefficient of the target reservoir; The connectivity determination module is used to determine the connectivity of the starting well and the end well in the target reservoir according to the comprehensive connectivity coefficient.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for determining reservoir connectivity as described in any one of claims 1-7 is implemented.

10. A storage medium storing computer executable instructions, characterized in that: The computer executable instructions are used to perform the reservoir connectivity determination method according to any one of claims 1 to 7 when executed by a computer processor.

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