Method, device and equipment for grading reservoir channeling pathways and storage medium

Abstract

The application discloses a reservoir channeling channel grading method, device, equipment and storage medium, and the method comprises the steps of obtaining oil-water well production data and numerical simulation data of a target area; determining single-well interwell flow, oil saturation change rate and average interwell pressure gradient of each layer according to corresponding data in the oil-water well production data and the numerical simulation data; determining an interwell permeability evolution curve according to the single-well interwell flow and corresponding data in the oil-water well production data and the numerical simulation data; and determining a grading category of the reservoir channeling channel and a grading interval corresponding to each grading category according to at least one parameter in the single-well interwell flow, the oil saturation change rate, the average interwell pressure gradient of each layer and the interwell permeability evolution curve. The application provides a basis for the selection of grading parameters, the verification method is reasonable, and the change process of the channeling channel in different development stages of the reservoir can be reflected, thereby providing a basis for subsequent channeling channel treatment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil development, in particular to a method and device for grading oil reservoir channeling, equipment and storage medium. BACKGROUND

[0002] Water injection development is the exploitation method of most oil reservoirs in China, but most of the oil reservoirs in China have entered or will soon enter the high water cut stage, the dominant percolation channel is generally developed, and the interlayer and plane contradictions are prominent. It is urgent to carry out management and regulation for channeling, and the quantification and grading of oil reservoir channeling are the premise of effective adjustment of channeling and the key problem faced by efficient oil exploitation.

[0003] Channeling refers to a strong flow area formed by the long-term immersion and scouring effect of injected water in the dominant water inlet direction of the oil layer, or a strip-shaped high-porosity and high-permeability channel formed under the action of strong water washing. This process is affected by both the geophysical properties of the reservoir and the development injection and production system and measures. Therefore, both dynamic injection and production parameters and physical property parameters that truly reflect the geological characteristics should be considered in the grading process.

[0004] The existing channeling grading method performs cluster analysis on the geological static parameters (such as permeability, porosity, and shale content) and development dynamic parameters (such as fluid production index, water absorption index, well group production injection ratio, and bottom hole pressure of oil and water wells) of the oil reservoir, and obtains the grading result by assigning different weights to the related parameters. However, these methods face two major problems in the specific application process: first, the selection of parameters and the quantification of weights lack basis, the rationality of the selected grading parameters and the accuracy of the grading are unclear, there is a lack of verification method, too many parameters will affect each other and have dimension problems, and too few parameters will make it difficult to accurately grade; second, oil reservoir development is a dynamic process throughout the life cycle, and the existing grading method provides a fixed value at a certain development time, which is difficult to reflect the change process of channeling at different development stages of the oil reservoir. The grading method has limitations and cannot reflect the evolution law of channeling, which restricts the dynamic understanding of the development state of the oil reservoir and the selection of subsequent management methods. Therefore, a channeling grading method that can reflect the development process of the oil reservoir and has simple and adjustable grading parameters is needed. SUMMARY

[0005] The purpose of the embodiments of the present application is to provide a method and device for grading oil reservoir channeling, equipment and storage medium, to solve the technical problems of the lack of basis for selecting grading parameters, the lack of verification method, and the difficulty in reflecting the change process of channeling at different development stages of the oil reservoir in the existing channeling grading method.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application provides a method for grading oil reservoir channeling, comprising:

[0007] obtain oil-water well production data and numerical simulation data of the target area, wherein the oil-water well production data and the numerical simulation data comprise: single-well water injection volume, number of flow lines generated by the water well in association with the oil well, total number of flow lines of the water well, average oil saturation between layers of each well, pressure on each grid of a straight line between layers of each well, average permeability between layers of each well, average flow line velocity between layers of each well, and average reservoir thickness between layers of each well;

[0008] determine interwell flow rate of each layer of the single well according to the single-well water injection volume, the number of flow lines generated by the water well in association with the oil well, and the total number of flow lines of the water well;

[0009] determine oil saturation variation rate according to the average oil saturation between layers of each well;

[0010] determine average interwell pressure gradient of each layer according to the pressure on each grid of a straight line between layers of each well;

[0011] determine interwell permeability evolution curve according to the average permeability between layers of each well, the average flow line velocity between layers of each well, the interwell flow rate of each layer of the single well, and the average reservoir thickness between layers of each well;

[0012] determine hierarchical categories of the reservoir channeling channel and a hierarchical interval corresponding to each hierarchical category according to at least one of the interwell flow rate of each layer of the single well, the oil saturation variation rate, the average interwell pressure gradient of each layer, and the interwell permeability evolution curve.

[0013] In the embodiments of the present application, the determination of the interwell flow rate of each layer of the single well according to the single-well water injection volume, the number of flow lines generated by the water well in association with the oil well, and the total number of flow lines of the water well comprises:

[0014] determine the proportion of the number of flow lines generated by the water well in association with the oil well in the total number of flow lines of the water well according to the number of flow lines generated by the water well in association with the oil well and the total number of flow lines of the water well;

[0015] determine the interwell flow rate of each layer of the single well according to the proportion of the number of flow lines generated by the water well in association with the oil well in the total number of flow lines of the water well and the single-well water injection volume.

[0016] In the embodiments of the present application, the determination of the oil saturation variation rate according to the average oil saturation between layers of each well comprises:

[0017] determine the average oil saturation between layers of each well at a first time and the average oil saturation between layers of each well at a second time, respectively;

[0018] determine the oil saturation variation rate according to the average oil saturation between layers of each well at the first time and the average oil saturation between layers of each well at the second time.

[0019] In the embodiments of the present application, the determination of the average interwell pressure gradient of each layer according to the pressure on each grid of a straight line between layers of each well comprises:

[0020] determining the sum of the pressure on each grid of the interwell straight line of each layer and the number of grids on the interwell straight line of each layer;

[0021] determining the average interwell pressure gradient of each layer according to the sum of the pressure on each grid of the interwell straight line of each layer and the number of grids on the interwell straight line of each layer.

[0022] In the embodiment of the present application, the interwell permeability evolution curve is determined according to the interwell average permeability of each layer, the interwell average flow line velocity, the interwell flow of each layer of a single well and the interwell average reservoir thickness, including:

[0023] determining the corresponding value of the interwell average permeability horizontal asymptote according to the tracer interpretation method;

[0024] determining the deceleration coefficient of the interwell average permeability according to the core experiment;

[0025] determining the interwell flow area of each layer according to the interwell average flow line velocity and the interwell flow of each layer of a single well;

[0026] determining the interwell water multiple of each layer according to the interwell flow area of each layer, the interwell flow of each layer of a single well and the interwell average reservoir thickness;

[0027] determining the interwell permeability evolution curve according to the interwell average permeability of each layer, the corresponding value of the interwell average permeability horizontal asymptote, the deceleration coefficient of the interwell average permeability and the interwell water multiple of each layer.

[0028] In the embodiment of the present application, the hierarchical category of the reservoir channeling channel and the hierarchical interval corresponding to each hierarchical category are determined according to at least one of the interwell flow of each layer of a single well, the oil saturation change rate, the average interwell pressure gradient of each layer and the interwell permeability evolution curve, including:

[0029] determining the division basis according to at least one of the interwell flow of each layer of a single well, the oil saturation change rate and the average interwell pressure gradient of each layer;

[0030] performing division on the channeling channel by using the K-means clustering method according to the division basis to obtain a preliminary hierarchical result;

[0031] drawing the preliminary hierarchical result on the interwell permeability evolution curve to obtain a processed interwell permeability evolution curve;

[0032] determine whether the processed interwell permeability evolution curve is divided into multiple different stages and whether the processed interwell permeability evolution curve is consistent with the channeling channel characteristics of different development stages of the reservoir, wherein the channeling channel characteristics of different development stages of the reservoir include that the strength of the channeling channel shows a change trend from weak to strong as the development time of the reservoir is prolonged, and the greater the interwell permeability, the greater the strength of the channeling channel.

[0033] In a case where the processed interwell permeability evolution curve is not divided into multiple different stages and / or the processed interwell permeability evolution curve is not consistent with the channeling channel characteristics of different development stages of the reservoir, the method according to at least one of the single-well interwell flow rate, the oil saturation change rate, and the average interwell pressure gradient of each layer is repeatedly performed to determine the division basis until the processed interwell permeability evolution curve is divided into multiple different stages and the processed interwell permeability evolution curve is consistent with the channeling channel characteristics of different development stages of the reservoir, so as to obtain the hierarchical classification of the channeling channel of the reservoir and the hierarchical interval corresponding to each hierarchical classification.

[0034] In the embodiment of the present application, the determination of the division basis according to at least one of the single-well interwell flow rate, the oil saturation change rate, and the average interwell pressure gradient of each layer includes:

[0035] determination of an extension parameter according to at least one of the single-well interwell flow rate, the oil saturation change rate, and the average interwell pressure gradient of each layer;

[0036] determination of the division basis according to at least one of the single-well interwell flow rate, the oil saturation change rate, the average interwell pressure gradient of each layer, and the extension parameter.

[0037] The second aspect of the present application provides a reservoir channeling channel grading device, comprising:

[0038] a memory configured to store instructions; and

[0039] a processor configured to call the instructions from the memory and capable of realizing the reservoir channeling channel grading method as described in the first aspect when executing the instructions.

[0040] The third aspect of the present application provides a computing device, comprising:

[0041] the reservoir channeling channel grading device as described in the second aspect.

[0042] The fourth aspect of the present application provides a machine-readable storage medium, which stores instructions for causing a machine to execute the reservoir channeling channel grading method as described in the first aspect.

[0043] By the technical solution, at least one parameter of the interwell flow rate of each layer of the single well, the change rate of oil saturation, and the average interwell pressure gradient of each layer is used for clustering and grading, and the rationality of the grading result is determined by using the interwell permeability evolution law combined with the channeling channel characteristics of different development stages of the reservoir, and then the grading category of the channeling channel of the reservoir and the grading interval corresponding to each grading category are obtained by adjusting the grading parameter, the technical solution provides a basis for the selection of the grading parameter, the verification method is reasonable, and the change process of the channeling channel of the reservoir at different development stages can be reflected, which can provide a basis for subsequent channeling channel treatment.

[0044] Other features and advantages of the embodiments of the present application will be described in detail in the following specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0045] The accompanying drawings are included to provide a further understanding of the embodiments of the present application, and constitute a part of the specification, and are used to explain the embodiments of the present application together with the following specific embodiments, but do not constitute a limitation on the embodiments of the present application. In the drawings:

[0046] Figure 1 A flowchart of a reservoir channeling channel grading method according to an embodiment of the present application is schematically shown;

[0047] Figure 2 A schematic diagram of a reservoir channeling channel grading result according to an embodiment of the present application is schematically shown;

[0048] Figure 3 A schematic diagram of a processed interwell permeability evolution curve plotted according to the grading result in Figure 2 is schematically shown;

[0049] Figure 4 A schematic diagram of another reservoir channeling channel grading result according to an embodiment of the present application is schematically shown;

[0050] Figure 5 A schematic diagram of a processed interwell permeability evolution curve plotted according to the grading result in Figure 4 is schematically shown. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. It should be understood that the specific embodiments described here are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0052] It should be noted that if the application embodiments involve directionality indication (such as up, down, left, right, front, back, etc.), the directionality indication is only used to explain the relative position relationship, motion condition, etc. between components in a certain specific posture (as shown in the drawings), and if the specific posture changes, the directionality indication also changes accordingly.

[0053] In addition, if the application embodiments involve "first", "second" and the like, the "first", "second" and the like are only for description purposes, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can be explicitly or implicitly included at least one of the features. In addition, the technical solutions of each embodiment can be combined with each other, but it must be based on the realization of ordinary skilled in the art, when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, nor within the scope of protection claimed in the present application.

[0054] Figure 1 The flowchart of the oil reservoir channeling channel grading method according to the embodiments of the present application is schematically shown, as shown in Figure 1 In the embodiments of the present application, an oil reservoir channeling channel grading method is provided, comprising the following steps:

[0055] Step S110: Obtain the oil-water well production data and numerical simulation data of the target area, wherein the oil-water well production data and numerical simulation data include: single well injection volume, the number of flow lines generated by the associated oil well of the water well, the total number of flow lines of the water well, the average oil saturation between wells of each layer, the pressure on each grid of the straight line between wells of each layer, the average permeability between wells of each layer, the average flow line velocity between wells of each layer and the average reservoir thickness between wells of each layer.

[0056] The parameter group representing the reservoir development dynamics is used to divide the oil reservoir channeling channel strength in the embodiments of the present application, the grading results can be compared with the reservoir physical evolution law and water cut in stages, and then the rationality of the division is determined, and feedback is given to the selection of parameters to adjust the grading parameters. The parameter group representing the reservoir development dynamics is related to the oil-water well production data and numerical simulation data, therefore, first, the oil-water well production data and numerical simulation data of the target area need to be obtained, including: single well injection volume, the number of flow lines generated by the associated oil well of the water well, the total number of flow lines of the water well, the average oil saturation between wells of each layer, the pressure on each grid of the straight line between wells of each layer, the average permeability between wells of each layer, the average flow line velocity between wells of each layer and the average reservoir thickness between wells of each layer.

[0057] It can be understood that the oil-water well production data and the numerical simulation data can be directly obtained from the production data, the reservoir numerical simulation software or the reservoir channeling channel inversion software, and both static data and dynamic data are included, and the data source is simple and easy to obtain. At the same time, obtaining the oil-water well production data and the numerical simulation data is the basis for classifying the reservoir channeling channel.

[0058] Step S120: determining the interwell flow of each layer of the single well according to the single well injection volume, the number of flow lines generated by the associated oil well of the water well and the total number of flow lines of the water well.

[0059] In the embodiment of the application, the interwell flow of each layer of the single well is one of the parameters in the parameter group for dividing the reservoir channeling channel, and can be obtained from the dynamic data in the oil-water well production data and the numerical simulation data, and is mainly related to the single well injection volume, the number of flow lines generated by the associated oil well of the water well and the total number of flow lines of the water well in the dynamic data.

[0060] Specifically, step S120 includes:

[0061] Step S121: determining the proportion of the number of flow lines generated by the associated oil well of the water well in the total number of flow lines of the water well according to the number of flow lines generated by the associated oil well of the water well and the total number of flow lines of the water well;

[0062] Step S122: determining the interwell flow of each layer of the single well according to the proportion of the number of flow lines generated by the associated oil well of the water well in the total number of flow lines of the water well and the single well injection volume.

[0063] According to the above description, the interwell flow of each layer of the single well can be calculated based on a first preset formula using the single well injection volume, the number of flow lines generated by the associated oil well of the water well and the total number of flow lines of the water well, wherein the first preset formula includes:

[0064]

[0065] In the formula, Q i is the interwell flow of each layer of the single well, n i is the number of flow lines generated by the associated oil well of the water well, N is the total number of flow lines of the water well, and q is the single well injection volume.

[0066] The oil well and the water well are two key links of oil exploitation. The oil well is a well established for exploiting oil resources, mainly used for extracting oil in the underground reservoir. The water well is a well established for supplying the water injection process required by the oil well, mainly used for supplementing water in the underground reservoir to maintain normal production of the oil well. The interwell flow of each layer of the single well in the reservoir channeling channel is large. In the embodiment of the application, the proportion of the number of flow lines generated by the associated oil well of the water well in the total number of flow lines of the water well is obtained first, and then the interwell flow of each layer of the single well is determined in combination with the single well injection volume. The data is easy to obtain and the calculation is simple.

[0067] Step S130: determining the oil saturation change rate according to the interwell average oil saturation of each layer.

[0068] The oil saturation is the percentage of oil in the pore volume, which is a key parameter for evaluating oil-bearing property of a reservoir, predicting oil reservoir productivity, and calculating geological reserves, and plays an important supporting role in the continuous development of the entire oil reservoir life cycle. Therefore, the oil saturation change rate is also one of the parameters in the parameter group for dividing the oil reservoir channeling channel.

[0069] Specifically, step S130 includes:

[0070] Step S131: determining the interwell average oil saturation of each layer at the first time and the interwell average oil saturation of each layer at the second time, respectively.

[0071] Step S132: determining the oil saturation change rate according to the interwell average oil saturation of each layer at the first time and the interwell average oil saturation of each layer at the second time.

[0072] It can be understood that the oil saturation change rate refers to the speed of change of the oil saturation, that is, the change amount of the oil saturation per unit time, and the oil saturation change rate in the oil reservoir channeling channel is small.

[0073] In the embodiment of the present application, the oil saturation change rate can be calculated based on the second preset formula using the interwell average oil saturation of each layer at different times, wherein the second preset formula includes:

[0074]

[0075] In the formula, S o-rate is the oil saturation change rate, t1 and t2 are two times, is the interwell average oil saturation of each layer at t1, is the interwell average oil saturation of each layer at t2.

[0076] The interwell average oil saturation of each layer is also derived from the oil-water well production data and numerical simulation data, and is easy to obtain.

[0077] Step S140: determining the average interwell pressure gradient of each layer according to the pressure on each grid of the interwell straight line of each layer.

[0078] The average interwell pressure gradient of each layer is also a key parameter for representing the development performance of a reservoir, and is one of the parameters in the parameter group for dividing the oil reservoir channeling channel, and the average interwell pressure gradient of each layer in the oil reservoir channeling channel is small.

[0079] Specifically, step S140 includes:

[0080] Step S141: determining the sum of the pressure on each grid of the interwell straight line of each layer and the number of grids on the interwell straight line of each layer;

[0081] Step S142: determining the average interwell pressure gradient of each layer according to the sum of the pressure on each grid of the interwell straight line of each layer and the number of grids on the interwell straight line of each layer.

[0082] In the embodiment of the present application, the average interwell pressure gradient of each layer can be calculated based on a third preset formula by using the pressure on each grid of the interwell straight line of each layer and the number of grids on the interwell straight line of each layer, wherein the third preset formula comprises:

[0083]

[0084] In the formula, P is the average interwell pressure gradient of each layer, P i is the pressure on each grid of the interwell straight line of each layer, and n is the number of grids on the interwell straight line of each layer.

[0085] More specifically, the positions of the water well and the oil well can be determined first, and then the equation of the interwell straight line of each layer is determined, so as to obtain the pressure on each grid of the interwell straight line of each layer and the number of grids on the interwell straight line of each layer. The pressure value on each grid of the interwell straight line of each layer can be directly exported by a data simulation software.

[0086] It should be particularly noted that the order of execution of the steps in steps S120 to S140 is not limited, for example, step S140 can be executed first, and then step S120 and other steps can be executed.

[0087] Step S150: determining the interwell permeability evolution curve according to the average interwell permeability of each layer, the average interwell flow velocity of each layer, the interwell flow rate of each layer of a single well, and the average reservoir thickness of each layer.

[0088] In view of the defect that the existing channeling channel grading method does not provide a grading result verification standard, the embodiment of the present application clusters and grades the channeling channel by using the reservoir development dynamic index, which can be closely connected with the reservoir development stage, and the grading result is verified by the physical property evolution data and the water cut change, which overcomes the defects in the prior art, wherein the physical property evolution data and the water cut change mainly manifest as the interwell permeability evolution curve.

[0089] Specifically, step S150 comprises:

[0090] Step S151: determining the average interwell permeability level asymptote corresponding value according to the tracer interpretation method.

[0091] Interwell tracer technology is to inject tracer slug from injection well, then monitor its output in surrounding production well, draw tracer output curve, and determine formation parameters by analyzing tracer output curve. The basic principle of interwell tracer technology is to refer to relevant dynamic and static data of test well group, design test scheme, inject tracer in injection well of test well group, sample and sample preparation in surrounding production well according to the established sampling system, analyze tracer in specific laboratory, obtain tracer content in sample, and draw tracer production curve of production well, that is, the change curve of tracer production with time. Through comprehensive analysis of tracer production curve of test well group and related data such as dynamic and static data, finally, the movement direction, advancing speed, and sweep of injected fluid are obtained.

[0092] The corresponding value of the horizontal asymptote of the interwell average permeability of each layer is the maximum permeability that the reservoir can evolve into. In the embodiment of the application, the corresponding value of the horizontal asymptote of the interwell average permeability of each layer is obtained by the interwell tracer interpretation method. ∞ .

[0093] Step S152: Determine the deceleration coefficient of the interwell average permeability of each layer according to the core experiment.

[0094] With the focus of current oil and gas exploration and development gradually shifting to complex reservoirs such as low-permeability, tight, and shale reservoirs, coring, displacement, and reservoirs focusing on microscopic physical properties gradually increase, the demand for digital core technology also increases. Digital core technology uses two-dimensional scanning electron microscopy or three-dimensional CT scanning to obtain real core images, extracts pore network models by constructing a three-dimensional data body, and then qualitatively and quantitatively analyzes reservoir microscopic pores and fracture structures, percolation characteristics, and reservoir parameters through numerical simulation software. Compared with traditional experimental methods, digital core technology has the advantages of high efficiency, quickness, intuitiveness, flexibility, and reusability. In the embodiment of the application, the deceleration coefficient a of the interwell average permeability of each layer is obtained by core experiment.

[0095] Step S153: Determine the interwell flow area of each layer based on the interwell average flow line velocity and the interwell flow rate of each layer of a single well.

[0096] The interwell flow area of each layer is calculated based on the fourth preset formula using the interwell average flow line velocity and the interwell flow rate of each layer of a single well, wherein the fourth preset formula includes:

[0097]

[0098] In the formula, A is the interwell flow area, Q is the interwell flow rate of each layer of a single well, and V is the interwell average flow line velocity. i i i ​​​

[0099] The interwell flow of each layer of the single well is obtained by step S120, and the interwell average flow line velocity of each layer is obtained from the oil-water well production data and the numerical simulation data.

[0100] Step S154: According to the interwell flow area of each layer, the interwell flow of each layer of the single well, and the interwell average reservoir thickness of each layer, the interwell water passing multiple of each layer is determined.

[0101] The interwell water passing multiple of each layer is the volume of the cumulative injected water per unit void volume in the porous medium, which reflects the internal flow field strength of the reservoir. After obtaining the interwell flow area of each layer in step S153, the interwell water passing multiple of each layer can be calculated based on the fifth preset formula using the interwell flow area of each layer, the interwell flow of each layer of the single well, and the interwell average reservoir thickness of each layer, wherein the fifth preset formula includes:

[0102]

[0103] In the formula, N i is the interwell water passing multiple of each layer, Δt is the production time, Q i is the interwell flow of each layer of the single well, A i is the interwell flow area, H i is the interwell average reservoir thickness of each layer.

[0104] The interwell average reservoir thickness of each layer is static data in the oil-water well production data and the numerical simulation data.

[0105] Step S155: According to the interwell average permeability of each layer, the interwell average permeability horizontal asymptote corresponding value of each layer, the deceleration coefficient of the interwell average permeability of each layer, and the interwell water passing multiple of each layer, the interwell permeability evolution curve is determined.

[0106] In the above steps, the parameters related to determining the interwell permeability evolution curve have been calculated, and then the interwell permeability evolution curve can be determined based on the sixth preset formula using the above related parameters, wherein the sixth preset formula includes:

[0107]

[0108] In the formula, k is the current interwell average permeability of each layer, k0 is the initial interwell average permeability of each layer, k ∞ is the interwell average permeability horizontal asymptote corresponding value of each layer, a is the deceleration coefficient of the interwell average permeability of each layer, and N i is the interwell water passing multiple of each layer.

[0109] In this application embodiment, the rationality of the reservoir crossflow channel classification results is verified by the inter-well permeability evolution curve. In other words, the inter-well permeability evolution curve plays a very important role as a reference in the reservoir crossflow channel classification method disclosed in this application.

[0110] Step S160: Based on at least one parameter among the inter-well flow rate, oil saturation change rate, average inter-well pressure gradient of each layer in a single well, and the inter-well permeability evolution curve, determine the classification category of the reservoir crossflow channel and the corresponding classification interval for each classification category.

[0111] Having obtained the parameters and references that may be involved in the classification of reservoir crossflow channels in the aforementioned steps, the clustering results of single or multiple parameters among the inter-well flow rate, oil saturation change rate, and average inter-well pressure gradient of each layer in a single well can be plotted on the inter-well permeability evolution curves under different production times for verification. If the following two conditions are met: the processed inter-well permeability evolution curve is divided into multiple different stages, and the processed inter-well permeability evolution curve can reflect the crossflow channel characteristics of different development stages of the reservoir, then the classification result is reasonable, and the final classification category of reservoir crossflow channels and the corresponding classification interval for each classification category are determined. If the classification result does not meet either of the two conditions, it indicates that the classification result is unreasonable, and the classification parameters need to be adjusted and cluster analysis should be performed again.

[0112] Specifically, step S160 includes:

[0113] Step S161: Determine the classification criteria based on at least one of the following parameters: inter-well flow rate, rate of change of oil saturation, and average inter-well pressure gradient of each layer in a single well.

[0114] Determining the criteria for division is a prerequisite for performing clustering and hierarchical analysis. Specifically, step S161 includes:

[0115] The extended parameters are determined based on at least one of the following parameters: inter-well flow rate, rate of change of oil saturation, and average inter-well pressure gradient of each layer in a single well.

[0116] The classification criteria are determined based on at least one of the following parameters: inter-well flow rate, rate of change of oil saturation, average inter-well pressure gradient, and extended parameters.

[0117] As can be seen, in the embodiments of this application, the division criteria are not only based on at least one of the following parameters: inter-well flow rate, rate of change of oil saturation, and average inter-well pressure gradient of each layer in a single well, but can also be extended accordingly based on these three parameters. Finally, the division criteria are determined based on at least one of the following parameters: inter-well flow rate, rate of change of oil saturation, average inter-well pressure gradient of each layer, and extended parameters.

[0118] Step S162: According to the division basis, the K-means clustering method is used to divide the channeling channels to obtain a preliminary classification result.

[0119] The k-means clustering algorithm is an iterative clustering algorithm, and the steps are as follows: the data is divided into K groups, K objects are randomly selected as initial cluster centers, the distance between each object and each seed cluster center is calculated, and each object is assigned to the cluster center closest to it. The cluster center and the object assigned to it represent a cluster. The cluster center of the cluster is recalculated according to the existing objects in the cluster after each sample is assigned. This process will be repeated until a certain termination condition is met. The termination condition can be that no (or a minimum number of) objects are reassigned to different clusters, no (or a minimum number of) cluster centers change, or the error sum of squares is locally minimized.

[0120] In the embodiment of the application, according to the division basis determined in step S161, the k-means clustering algorithm is used to divide the channeling channels of the oil reservoir, wherein the initial cluster center, i.e., the number of channeling channel classification, can be determined by the elbow method, and a preliminary classification result is obtained after division. Please refer to Figure 2 and Figure 4 As shown in Figure 2 , Figure 2 a schematic diagram of an oil reservoir channeling channel classification result according to an embodiment of the application is schematically shown, and it can be seen that the oil reservoir channeling channel classification result is based on the water passing multiple between wells in each layer and the average interwell pressure gradient in each layer; as Figure 4 shown, Figure 4 a schematic diagram of another oil reservoir channeling channel classification result according to an embodiment of the application is schematically shown, and it can be seen that the oil reservoir channeling channel classification result is based on the oil saturation change rate, the water passing multiple between wells in each layer, and the average interwell pressure gradient in each layer.

[0121] Step S163: The preliminary classification result is plotted on the interwell permeability evolution curve to obtain a processed interwell permeability evolution curve.

[0122] In the embodiment of the application, the interwell permeability evolution curve is used to verify the rationality of the classification result, therefore, the preliminary classification result needs to be plotted on the interwell permeability evolution curve to obtain a processed interwell permeability evolution curve, so as to facilitate observation of the characteristics of the processed interwell permeability evolution curve at different development stages. Please refer to Figure 3 and Figure 5 As shown in Figure 3 , Figure 3 a schematic diagram of an oil reservoir channeling channel classification result according to an embodiment of the application is schematically shown, and it can be seen that the oil reservoir channeling channel classification result is based on the water passing multiple between wells in each layer and the average interwell pressure gradient in each layer; as Figure 2A schematic diagram of the processed inter-well permeability evolution curves plotted from the classification results; as shown. Figure 5 As shown, Figure 5 Schematic illustration based on Figure 4 The diagram shows the processed inter-well permeability evolution curves plotted from the classification results. It should be noted that reservoir development involves multiple wells and multiple oil layers, therefore... Figure 3 , Figure 5 Multiple well permeability evolution curves were plotted.

[0123] Step S164: Determine whether the processed inter-well permeability evolution curve is divided into multiple different stages and whether the processed inter-well permeability evolution curve conforms to the crossflow channel characteristics of different development stages of the reservoir. The crossflow channel characteristics of different development stages of the reservoir include the trend of the crossflow channel intensity changing from weak to strong as the reservoir development time extends, and the greater the inter-well permeability, the greater the crossflow channel intensity.

[0124] By analyzing the processed inter-well permeability evolution curves, the grading results can be verified, determining whether the processed inter-well permeability evolution curves meet the following two conditions: they are divided into multiple different stages; and they conform to the crossflow channel characteristics of different development stages of the reservoir. It can be understood that the processed inter-well permeability evolution curves are divided into multiple different stages. Figure 3 , Figure 5 This is reflected in the fact that the inter-well permeability evolution curves show different colors at different time periods. The characteristics of crossflow channels at different development stages of the reservoir include the trend of crossflow channel intensity changing from weak to strong as the reservoir development time increases, and the fact that the higher the inter-well permeability, the greater the crossflow channel intensity. Figure 3 , Figure 5 Different colors are used to distinguish the different intensities of the crossflow channels.

[0125] The rationality of the classification of the crossflow channels is determined by whether the processed inter-well permeability evolution curve simultaneously meets the above two conditions.

[0126] Step S165: If the processed inter-well permeability evolution curve is not divided into multiple different stages and / or the processed inter-well permeability evolution curve does not conform to the crossflow channel characteristics of different development stages of the reservoir, repeat the process of determining the classification criteria based on at least one parameter among the inter-well flow rate of each layer of a single well, the rate of change of oil saturation, and the average inter-well pressure gradient of each layer, until the processed inter-well permeability evolution curve is divided into multiple different stages and the processed inter-well permeability evolution curve conforms to the crossflow channel characteristics of different development stages of the reservoir, thereby obtaining the classification categories of the reservoir crossflow channels and the corresponding classification intervals for each classification category.

[0127] The technical scheme disclosed in the application clusters and grades the multi-dimensional production dynamic data, verifies the rationality of the channeling channel grading method by using the static geological parameter evolution law, and simultaneously determines the selection number and type of the dynamic production data according to the matching relationship between the two kinds of data, thereby avoiding the problems of difficult weight acquisition and unclear physical meaning when a plurality of parameters are collectively clustered in the conventional grading method.

[0128] Specifically, in the case that the processed interwell permeability evolution curve does not satisfy any of the above two conditions, it is considered that the grading of the channeling channel is not reasonable, and therefore, it is necessary to re-perform steps S161-S164, to re-determine the division basis, to perform clustering and grading by using the updated division basis, and to judge the grading result again until the processed interwell permeability evolution curve satisfies the above two conditions at the same time, so as to obtain the grading category of the reservoir channeling channel and the grading interval corresponding to each grading category, and the grading step ends.

[0129] Exemplarily, in the drawings, different colors represent different channeling channel intensities, as shown in FIG. 2, the processed interwell permeability evolution curve drawn by the grading result taking the interwell water breakthrough multiple of each layer and the average interwell pressure gradient of each layer as the division basis has no obvious color characteristics in different development stages of the reservoir, and the curve colors between stages have no obvious difference, which indicates that the processed interwell permeability evolution curve does not conform to the channeling channel characteristics in different development stages of the reservoir, and the grading result taking the interwell water breakthrough multiple of each layer and the average interwell pressure gradient of each layer as the division basis is not reasonable, and the division basis needs to be re-determined. Figure 3 Figure 5 Exemplarily, in the drawings, different colors represent different channeling channel intensities, as shown in FIG. 2, the processed interwell permeability evolution curve drawn by the grading result taking the interwell water breakthrough multiple of each layer and the average interwell pressure gradient of each layer as the division basis has no obvious color characteristics in different development stages of the reservoir, and the curve colors between stages have no obvious difference, which indicates that the processed interwell permeability evolution curve does not conform to the channeling channel characteristics in different development stages of the reservoir, and the grading result taking the interwell water breakthrough multiple of each layer and the average interwell pressure gradient of each layer as the division basis is not reasonable, and the division basis needs to be re-determined. Figure 5 Exemplarily, in the drawings, different colors represent different channeling channel intensities, as shown in FIG. 2, the processed interwell permeability evolution curve drawn by the grading result taking the interwell water breakthrough multiple of each layer and the average interwell pressure gradient of each layer as the division basis has no obvious color characteristics in different development stages of the reservoir, and the curve colors between stages have no obvious difference, which indicates that the processed interwell permeability evolution curve does not conform to the channeling channel characteristics in different development stages of the reservoir, and the grading result taking the interwell water breakthrough multiple of each layer and the average interwell pressure gradient of each layer as the division basis is not reasonable, and the division basis needs to be re-determined.

[0130] Table 1

[0131]

[0132] The step can verify the grading result according to the characteristics of the channeling flow path and the evolution of the static parameters in different stages of the reservoir development, and automatically adjust the grading basis in time, and has wide applicability and operability.

[0133] The oil reservoir channeling flow path grading method provided in the embodiments of the present application uses at least one of the interwell flow rate of each layer of a single well, the oil saturation change rate, and the average interwell pressure gradient of each layer for clustering grading, and determines the rationality of the grading result by using the interwell permeability evolution law and the characteristics of the channeling flow path in different development stages of the reservoir, and then obtains the grading category of the oil reservoir channeling flow path and the grading interval corresponding to each grading category by adjusting the grading parameter, and the technical solution of the present application provides a basis for the selection of the grading parameter, the verification method is reasonable, and can reflect the change process of the channeling flow path in different development stages of the reservoir, and can provide a basis for subsequent channeling flow path treatment.

[0134] Corresponding to the method embodiments, the embodiments of the present application provide an oil reservoir channeling flow path grading device, comprising:

[0135] a memory configured to store instructions; and

[0136] a processor configured to call the instructions from the memory and realize the oil reservoir channeling flow path grading method described above when executing the instructions.

[0137] The oil reservoir channeling flow path grading device provided in the embodiments of the present application can realize each process of the oil reservoir channeling flow path grading method in the method embodiments, and achieve the same technical effects. To avoid repetition, details are not described here.

[0138] The embodiments of the present application also provide a computing device, comprising:

[0139] The oil reservoir channeling flow path grading device described above.

[0140] The embodiments of the present application also provide a machine-readable storage medium, which stores instructions for causing a machine to execute the oil reservoir channeling flow path grading method described above.

[0141] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0142] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps in the flowchart block or blocks

[0143] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps in the flowchart block or blocks

[0144] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps in the flowchart block or blocks

[0145] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0146] The memory can include non-persistent memory and / or volatile memory, such as a random access memory (RAM) including a cache area for the temporary storage of data. A

[0147] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0148] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0149] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method of grading a reservoir channel, comprising: include: Acquire oil and water well production data and numerical simulation data for the target area. The oil and water well production data and numerical simulation data include: single well water injection volume, number of streamlines generated by water wells in associated oil wells, total number of streamlines of water wells, average oil saturation between well layers, pressure on each grid of the straight line between well layers, average permeability between well layers, average streamline velocity between well layers, and average reservoir thickness between well layers. The flow rate between each layer of a single well is determined based on the water injection volume of the single well, the number of streamlines generated by the water well in the associated oil well, and the total number of streamlines of the water well. The rate of change of oil saturation is determined based on the average oil saturation between each well layer. The average inter-well pressure gradient for each layer is determined based on the pressure on each grid of the inter-well straight line. The well permeability evolution curve is determined based on the average permeability between each well layer, the average streamline velocity between each well layer, the flow rate between each well layer in a single well, and the average reservoir thickness between each well layer. Based on at least one of the following parameters: the inter-well flow rate of each layer in the single well, the rate of change of oil saturation, the average inter-well pressure gradient of each layer, and the inter-well permeability evolution curve, the classification categories of the reservoir crossflow channels and the corresponding classification intervals for each classification category are determined. The step of determining the classification categories of the reservoir crossflow channels and the corresponding classification intervals for each classification category based on at least one of the following parameters: the inter-well flow rate of each layer in the single well, the rate of change of oil saturation, the average inter-well pressure gradient of each layer, and the inter-well permeability evolution curve, includes: The division criteria are determined based on at least one of the following parameters: the inter-well flow rate of each layer in the single well, the rate of change of oil saturation, and the average inter-well pressure gradient of each layer. Based on the aforementioned classification criteria, the crossflow channels are divided using the K-means clustering method to obtain preliminary classification results; The preliminary classification results are plotted on the inter-well permeability evolution curve to obtain the processed inter-well permeability evolution curve; Determine whether the processed inter-well permeability evolution curve is divided into multiple different stages and whether the processed inter-well permeability evolution curve conforms to the crossflow channel characteristics of different development stages of the reservoir. The crossflow channel characteristics of different development stages of the reservoir include the trend of the crossflow channel intensity changing from weak to strong as the reservoir development time extends, and the greater the inter-well permeability, the greater the crossflow channel intensity. If the processed inter-well permeability evolution curve is not divided into multiple different stages and / or the processed inter-well permeability evolution curve does not conform to the crossflow channel characteristics of different development stages of the reservoir, the process of determining the classification criteria based on at least one of the parameters of the inter-well flow rate of each layer of the single well, the rate of change of oil saturation, and the average inter-well pressure gradient of each layer is repeated until the processed inter-well permeability evolution curve is divided into multiple different stages and the processed inter-well permeability evolution curve conforms to the crossflow channel characteristics of different development stages of the reservoir, thereby obtaining the classification category of the reservoir crossflow channel and the classification interval corresponding to each classification category.

2. The oil reservoir channel ranking method of claim 1, wherein, The determination of the inter-well flow rate of a single well based on the single well injection volume, the number of streamlines generated by the water well in the associated oil well, and the total number of streamlines of the water well includes: Based on the number of streamlines generated by the water well in the associated oil well and the total number of streamlines of the water well, determine the proportion of the number of streamlines generated by the water well in the associated oil well in the total number of streamlines of the water well; The flow rate between each layer of the single well is determined based on the proportion of the number of streamlines generated by the water well in the associated oil well to the total number of streamlines in the water well and the water injection volume of the single well.

3. The oil reservoir channel ranking method of claim 1, wherein, The step of determining the rate of change of oil saturation based on the average oil saturation between each well layer includes: The average oil saturation between each well layer at the first time point and the average oil saturation between each well layer at the second time point were determined respectively. The rate of change of oil saturation is determined based on the average oil saturation between wells at the first time point and the average oil saturation between wells at the second time point.

4. The method for classifying reservoir crossflow channels according to claim 1, characterized in that, The step of determining the average inter-well pressure gradient based on the pressure on each grid of the inter-well straight line includes: Determine the sum of the pressures on each grid of the inter-well straight line and the number of grids on each inter-well straight line; The average inter-well pressure gradient for each layer is determined based on the sum of the pressures on each grid of the inter-well straight line and the number of grids on each inter-well straight line.

5. The method for classifying reservoir crossflow channels according to claim 1, characterized in that, The step of determining the inter-well permeability evolution curve based on the average permeability between each well layer, the average streamline velocity between each well layer, the inter-well flow rate between each well layer in a single well, and the average reservoir thickness between each well layer includes: Based on the tracer interpretation method, determine the corresponding values ​​of the asymptotes of the average permeability levels between each well layer; Based on core experiments, the deceleration coefficient of the average permeability between each well layer was determined; The flow area between each well layer is determined based on the average streamline velocity between each well layer and the flow rate between each well layer in a single well. The water flow ratio between each well layer is determined based on the flow area between each well layer, the flow rate between each well layer in a single well, and the average reservoir thickness between each well layer. The well permeability evolution curve is determined based on the average permeability between each layer, the corresponding horizontal asymptote value of the average permeability between each layer, the deceleration coefficient of the average permeability between each layer, and the water flow ratio between each layer.

6. The method for classifying reservoir crossflow channels according to claim 1, characterized in that, The determination of the division criteria based on at least one of the following parameters—the inter-well flow rate of each layer in the single well, the rate of change of oil saturation, and the average inter-well pressure gradient of each layer—includes: The extended parameters are determined based on at least one of the following parameters: the inter-well flow rate of each layer in the single well, the rate of change of oil saturation, and the average inter-well pressure gradient of each layer. The division criteria are determined based on at least one of the following parameters: the inter-well flow rate of each layer in the single well, the rate of change of oil saturation, the average inter-well pressure gradient of each layer, and the extended parameters.

7. A reservoir crossflow channel classification device, characterized in that, include: The memory is configured to store instructions; as well as The processor is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the reservoir crossflow channel classification method according to any one of claims 1 to 6.

8. A computing device, characterized in that, include: The reservoir crossflow channel classification device according to claim 7.

9. A machine-readable storage medium, characterized in that, The machine-readable storage medium stores instructions for causing the machine to perform the reservoir crossflow channel classification method according to any one of claims 1 to 6.

Images