Method, device and equipment for determining repair sequence of casing damage well and readable storage medium

Abstract

The invention discloses a method, device and equipment for determining the repair sequence of a casing damage well and a readable storage medium, and belongs to the technical field of oil exploitation. The method comprises the following steps: acquiring a plurality of characterization parameters of a casing damage well, and constructing a judgment matrix and a standard feature matrix based on the characterization parameters; determining a first weight of the characterization parameter based on the judgment matrix, and determining a second weight of the characterization parameter based on the standard feature matrix; obtaining a combined weight of each characterization parameter based on the first weight and the second weight; and determining the repair potential value of the casing damage well by using the combined weight of the standard feature matrix and the characterization parameters, and determining the repair sequence of the casing damage well based on the repair potential value. According to the method, the repair sequence of the casing damage well is determined through the characterization parameters in multiple aspects, the accuracy and reasonability of the repair sequence of the casing damage well are improved, the casing damage well is repaired based on the repair sequence of the casing damage well, and the maximum production benefit is obtained under the condition that the repair cost is low.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of oil production, and in particular to a method, device, equipment and readable storage medium for determining a repair sequence of a casing damaged well. Background Art

[0002] With the development of social industrialization, the demand for oil is increasing, and the number of oil and water wells is also increasing. Due to the influence of factors such as geology, engineering, development and increased production and injection, the number of oil and water wells with casing damage has increased sharply during the process of oil water injection.

[0003] At present, whether to repair a damaged well and the order of repairing a damaged well are mainly determined based on the subjective experience of relevant staff or nonlinear programming economic evaluation models. Among them, the judgment of repairing a damaged well based on the subjective experience of staff is highly subjective, low in accuracy, and low in efficiency, wasting a lot of manpower costs; the judgment of repairing a damaged well based on the nonlinear programming economic evaluation model uses relatively simple parameters, and the determination of the situation of the damaged well is relatively one-sided, which makes the judgment of repairing a damaged well low in accuracy. Based on this judgment result, human and material resources are invested in repairing a damaged well, resulting in a waste of resources. Summary of the invention

[0004] The embodiments of the present application provide a method, device, apparatus and computer-readable storage medium for determining the repair sequence of a casing damaged well, which can be used to solve the problems in the related art. The technical solution is as follows:

[0005] On the one hand, an embodiment of the present application provides a method for determining the repair order of a casing damaged well, the method comprising: obtaining multiple characterization parameters of the casing damaged well, constructing a judgment matrix and a standard feature matrix based on the characterization parameters; determining a first weight of the characterization parameter based on the judgment matrix, and determining a second weight of the characterization parameter based on the standard feature matrix; obtaining a combined weight of each of the characterization parameters based on the first weight and the second weight; determining a repair potential value of the casing damaged well using the standard feature matrix and the combined weight of the characterization parameters, and determining the repair order of the casing damaged well based on the repair potential value.

[0006] In a possible implementation, the combined weight β corresponding to the jth characterization parameter of the casing damage well is j satisfy:

[0007]

[0008] Wherein, m is the number of the characterization parameters, w j ′ is the first weight corresponding to the jth characterization parameter of the casing damage well, w jis the second weight corresponding to the j-th characterization parameter of the casing damage well, 1≤j≤m, and j is an integer.

[0009] In a possible implementation, the repair potential value M of the casing damage well is s satisfy:

[0010]

[0011] Where, 1≤s≤n, and s is an integer, n is the number of casing damage wells, y sj is the element in the standard feature matrix, β j is the combined weight corresponding to the j-th characterization parameter of the casing damage well, and m is the number of the characterization parameters.

[0012] In one possible implementation, determining the first weight of the characterization parameter based on the judgment matrix includes: normalizing the judgment matrix to obtain a first standard matrix corresponding to the judgment matrix; performing a consistency check on the first standard matrix to obtain a consistency ratio; comparing the consistency ratio with the consistency preset value, and in response to the consistency ratio being less than or equal to the consistency preset value, calculating the first weight of the characterization parameter based on the first standard matrix.

[0013] In one possible implementation, determining the second weight of the characterization parameter based on the standard feature matrix includes: calculating a weight value of each of the characterization parameters based on the standard feature matrix, and constructing a second standard matrix using the weight values; calculating the information entropy of the characterization parameter using an entropy weight evaluation model and the second standard matrix, the entropy weight evaluation model being used to calculate the information entropy of the characterization parameter; and calculating the second weight of the characterization parameter using the information entropy.

[0014] In a possible implementation, the casing damaged well includes an oil well and a water well, wherein when the casing damaged well is an oil well, the characterization parameters of the casing damaged well include a first characterization parameter, a second characterization parameter, and a third characterization parameter; when the casing damaged well is a water well, the characterization parameters of the casing damaged well include a fourth characterization parameter, a second characterization parameter, and a third characterization parameter, and the obtaining of multiple characterization parameters of each casing damaged well includes: obtaining the first characterization parameter of the casing damaged well based on an oil well productivity recovery system, wherein the first characterization parameter includes the number of lost oil layers, the normal production before casing damage, the current production, the number of remaining unshot oil layers, the permeability of the unshot layer, the thickness of the unshot layer, the thickness of the lost layer, and the oil saturation of the unshot layer; The second characterization parameter of the casing damaged well is obtained based on the casing damaged well repair investment system, wherein the second characterization parameter includes casing damage type, casing outer diameter, casing damage depth, production layer depth, minimum inner diameter, casing wall thickness, casing damage section length, casing damage section well deviation, maximum well deviation and maximum well deviation depth; the third characterization parameter of the casing damaged well is obtained based on the casing damaged well safety and environmental protection system, wherein the third characterization parameter includes well control level and wellbore integrity; the fourth characterization parameter of the casing damaged well is obtained based on the water well injection capacity system, wherein the fourth characterization parameter includes the number of lost water injection layers, the normal injection volume before casing damage, the current injection volume, the number of remaining unshot injection layers, the permeability of the unshot layer and the thickness of the unshot layer.

[0015] On the other hand, an embodiment of the present application provides a device for determining the repair order of a casing damaged well, the device comprising: a data acquisition module, used to acquire multiple characterization parameters of the casing damaged well, and construct a judgment matrix and a standard feature matrix based on the characterization parameters; a weight determination module, used to determine a first weight of the characterization parameter based on the judgment matrix, and determine a second weight of the characterization parameter based on the standard feature matrix; a weight combination module, used to obtain a combined weight of each of the characterization parameters based on the first weight and the second weight; a repair parameter determination module, used to determine a repair potential value of the casing damaged well using the standard feature matrix and the combined weight of the characterization parameters, and determine the repair order of the casing damaged well based on the repair potential value.

[0016] In a possible implementation, the combined weight β corresponding to the jth characterization parameter of the casing damage well is j satisfy:

[0017]

[0018] Wherein, m is the number of the characterization parameters, w j ′ is the first weight corresponding to the jth characterization parameter of the casing damage well, w j is the second weight corresponding to the j-th characterization parameter of the casing damage well, 1≤j≤m, and j is an integer.

[0019] In a possible implementation, the repair potential value M of the casing damage well is s satisfy:

[0020]

[0021] Where, 1≤s≤n, and s is an integer, n is the number of casing damage wells, y sj is the element in the standard feature matrix, β j is the combined weight corresponding to the j-th characterization parameter of the casing damage well, and m is the number of the characterization parameters.

[0022] In one possible implementation, the weight determination module is used to normalize the judgment matrix to obtain a first standard matrix corresponding to the judgment matrix; perform a consistency check on the first standard matrix to obtain a consistency ratio; compare the consistency ratio with the consistency preset value, and in response to the consistency ratio being less than or equal to the consistency preset value, calculate the first weight of the characterization parameter based on the first standard matrix.

[0023] In one possible implementation, the weight determination module is used to calculate the weight value of each of the characterization parameters based on the standard feature matrix, and use the weight values ​​to construct a second standard matrix; use the entropy weight evaluation model and the second standard matrix to calculate the information entropy of the characterization parameters, and the entropy weight evaluation model is used to calculate the information entropy of the characterization parameters; use the information entropy to calculate the second weight of the characterization parameter.

[0024] In a possible implementation, the casing damaged well includes an oil well and a water well, wherein when the casing damaged well is an oil well, the characterization parameters of the casing damaged well include a first characterization parameter, a second characterization parameter, and a third characterization parameter; when the casing damaged well is a water well, the characterization parameters of the casing damaged well include a fourth characterization parameter, a second characterization parameter, and a third characterization parameter, and the data acquisition module is used to: acquire the first characterization parameter of the casing damaged well based on the oil well productivity recovery system, wherein the first characterization parameter includes the number of lost oil layers, the normal production before casing damage, the current production, the number of remaining unshot oil layers, the permeability of the unshot layer, the thickness of the unshot layer, the thickness of the lost layer, and the oil saturation of the unshot layer; based on the casing damaged well, the casing damaged well is characterized by a first characterization parameter, a second characterization parameter, and a third characterization parameter; The well repair investment system obtains the second characterization parameter of the casing damaged well, wherein the second characterization parameter includes casing damage type, casing outer diameter, casing damage depth, production layer depth, minimum inner diameter, casing wall thickness, casing damage section length, casing damage section well deviation, maximum well deviation and maximum well deviation depth; based on the casing damaged well safety and environmental protection system, the third characterization parameter of the casing damaged well is obtained, wherein the third characterization parameter includes well control level and wellbore integrity; based on the water well injection capacity system, the fourth characterization parameter of the casing damaged well is obtained, wherein the fourth characterization parameter includes the number of lost water injection layers, the normal injection volume before casing damage, the current injection volume, the number of remaining unshot injection layers, the permeability of the unshot layer and the thickness of the unshot layer.

[0025] On the other hand, an embodiment of the present application provides a computer device, comprising a processor and a memory, wherein the memory stores at least one program code, and the at least one program code is loaded and executed by the processor, so that the computer device implements any of the above-mentioned methods for determining the repair order of a casing damaged well.

[0026] On the other hand, a computer-readable storage medium is provided, in which at least one program code is stored. The at least one program code is loaded and executed by a processor to enable a computer to implement any of the above-mentioned methods for determining a repair sequence for a casing damaged well.

[0027] On the other hand, a computer program or a computer program product is also provided, wherein at least one computer instruction is stored in the computer program or the computer program product, and the at least one computer instruction is loaded and executed by a processor so that the computer implements any of the above-mentioned methods for determining the repair sequence of a casing damaged well.

[0028] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0029] The technical solution provided in the embodiment of the present application obtains a first weight and a second weight of each characterization parameter of the casing damaged well by obtaining and processing the characterization parameters, obtains a combined weight of each characterization parameter of the casing damaged well based on the first weight and the second weight, determines the repair potential value of the casing damaged well using the combined weight, and further determines the repair sequence of the casing damaged well. The present application determines the repair sequence of the casing damaged well by characterizing parameters from multiple aspects, improves the accuracy and rationality of the repair sequence of the casing damaged well, and repairs the casing damaged well based on the repair sequence of the casing damaged well, so as to obtain the maximum production benefit at a low repair cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 It is a schematic diagram of an implementation environment of a method for determining a repair sequence of a casing damaged well provided in an embodiment of the present application;

[0032] Figure 2 This is a flow chart of a method for determining a repair sequence for a casing damaged well provided in an embodiment of the present application;

[0033] Figure 3 is a flow chart of determining a first weight of a characterization parameter based on a judgment matrix provided in an embodiment of the present application;

[0034] Figure 4 is a flow chart of determining a second weight of a characterization parameter based on a standard feature matrix provided in an embodiment of the present application;

[0035] Figure 5 It is a structural schematic diagram of a device for determining a repair sequence of a casing damaged well provided in an embodiment of the present application;

[0036] Figure 6 is a structural block diagram of a terminal device provided by an exemplary embodiment of the present application;

[0037] Figure 7 It is a structural diagram of a server provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0039] Figure 1is a schematic diagram of an implementation environment of a method for determining a repair sequence of a casing damaged well provided in an embodiment of the present application, such as Figure 1 As shown, the implementation environment includes: a terminal device 101 and a server 102 .

[0040] The terminal device 101 may be any electronic device product that can interact with a user through one or more methods such as a keyboard, a touch pad, a touch screen, a remote control, voice interaction, or a handwriting device, for example, a PC (Personal Computer), a mobile phone, a smart phone, a PDA (Personal Digital Assistant), a wearable device, a PPC (Pocket PC), a tablet computer, a smart car computer, etc. The terminal device 101 is used to execute the method for determining the repair sequence of a casing damaged well provided in the embodiment of the present application.

[0041] The terminal device 101 may generally refer to one of a plurality of terminal devices. This embodiment is only illustrated by the terminal device 101. Those skilled in the art may know that the number of the terminal devices 101 may be more or less. For example, the terminal device 101 may be only one, or the terminal devices 101 may be dozens or hundreds, or more. This embodiment of the application does not limit the number and type of terminal devices. The server 102 is used to provide the terminal device 101 with a sequence for repairing a casing damaged well.

[0042] Those skilled in the art should understand that the above-mentioned terminal device 101 and server 102 are only for illustration, and other existing or future terminal devices or servers, if applicable to the present application, should also be included in the scope of protection of the present application and are included here by reference.

[0043] The embodiment of the present application provides a method for determining the repair sequence of a casing damaged well, which can be applied to the above implementation environment. Figure 2 The flowchart of a method for determining the repair sequence of a casing damaged well provided in an embodiment of the present application is taken as an example. The method can be Figure 1 The terminal device 101 in the embodiment is executed. Figure 2 As shown, the method includes the following steps 110 to 140.

[0044] In step 110, a plurality of characterization parameters of the casing damaged well are obtained, and a judgment matrix and a standard feature matrix are constructed based on the characterization parameters.

[0045] In an exemplary embodiment of the present application, the casing well may include an oil well and a water well. The present application takes the casing well as an oil well as an example for explanation. First, multiple characterization parameters of each casing well are obtained. For example, the corresponding characterization parameters can be obtained based on different systems. Exemplarily, the first characterization parameter of the casing well is obtained based on the oil well productivity recovery system, wherein the first characterization parameter includes 8 characterization parameters, namely, the number of lost oil layers (the number of oil layers that have been perforated below the casing damage point), the normal production before casing damage, the current production, the number of remaining unperforated oil layers (the oil and gas layers below the bottom boundary of the casing well and not yet perforated), the permeability of the unperforated layer, the thickness of the unperforated layer, the thickness of the loss layer, and the oil saturation of the unperforated layer. The second characterization parameter of the casing well is obtained based on the casing well repair investment system, wherein the second characterization parameter includes 10 characterization parameters, namely, the second characterization parameter includes casing damage type, casing outer diameter, casing wall thickness, casing damage depth, production layer depth, minimum inner diameter, casing damage section length, casing damage section well deviation, maximum well deviation and maximum well deviation depth. The third characterization parameter of the casing damaged well is obtained based on the casing damaged well safety and environmental protection system, wherein the third characterization parameter includes two characterization parameters, namely, the well control level and the wellbore integrity.

[0046] It should be noted that when the casing damaged well is a water well, the second characterization parameter, the third characterization parameter and the fourth characterization parameter of the casing damaged well can be obtained, wherein the second characterization parameter and the third characterization parameter can be the same as when the casing damaged well is an oil well, and will not be elaborated here; the fourth characterization parameter can be obtained based on the water well injection capacity system, and the fourth characterization parameter includes 6 characterization parameters, namely the number of lost water injection layers, the normal injection volume before casing damage, the current injection volume, the number of remaining unshot injection layers, the permeability of the unshot layer and the thickness of the unshot layer.

[0047] Those skilled in the art will appreciate that the above-mentioned characterization parameters corresponding to the casing damaged well obtained based on the oil well productivity recovery system, the water well injection capacity system, the casing damaged well repair investment system and the casing damaged well safety and environmental protection system are illustrative, and the present application is not limited thereto.

[0048] This application takes the characterization parameters of 7 oil wells with casing damage as an example for explanation. Table 1 shows the characterization parameters corresponding to the 7 oil wells with casing damage obtained based on the oil well productivity recovery system, the casing damage well repair investment system and the casing damage well safety and environmental protection system.

[0049]

[0050]

[0051] Table 1

[0052] According to the exemplary embodiments of the present application, the characterization parameters of the casing damaged well are obtained through the repair investment system, the casing damaged well safety and environmental protection system, the oil well productivity recovery system or the water well injection capacity system, and the repair process, repair difficulty, the safety risks of the casing damaged well itself, and the safety risks during the repair operation are fully considered. In addition, when the casing damaged well is an oil well, the current production capacity potential of the oil well and the degree of influence of the oil well reserve utilization are also considered; when the casing damaged well is a water well, the current water injection potential of the water well and the degree of influence of the water well reserve utilization are also considered. By obtaining the characterization parameters of the casing damaged well from the aspects of repair investment, productivity recovery, safety and environmental protection, and using them in the subsequent process, the repair sequence of the casing damaged well is determined by using parameters from various aspects, thereby improving the accuracy and rationality of the repair sequence of the casing damaged well.

[0053] In an exemplary embodiment of the present application, after the characterization parameters of the casing damage well are obtained, a judgment matrix and a standard feature matrix may be constructed based on the characterization parameters.

[0054] For example, the present application can compare the importance of the characterization parameters in pairs according to the experience of relevant experts, quantify the importance of the characterization parameters, and generate a judgment matrix based on the quantification results. ij Indicates the comparison result of the importance of the i-th characterization parameter relative to the j-th characterization parameter, and the comparison result can be expressed by 1 to 9. Among them, 1 can indicate that the i-th characterization parameter and the j-th characterization parameter are equally important; 3 can indicate that the i-th characterization parameter is slightly more important than the j-th characterization parameter; 5 can indicate that the i-th characterization parameter is significantly more important than the j-th characterization parameter; 7 can indicate that the i-th characterization parameter is strongly more important than the j-th characterization parameter; 9 can indicate that the i-th characterization parameter is extremely important than the j-th characterization parameter; the remaining numbers can indicate the intermediate value of the adjacent importance of the i-th characterization parameter and the j-th characterization parameter. For example, the comparison results of the importance of the characterization parameters of the casing damage well by multiple experts can be obtained, and the median or average value of the comparison results of each expert is used as the final comparison result of the importance of the characterization parameters of the casing damage well. Taking the characterization parameters in Table 1 as an example, Table 2 can be obtained by comparing the importance between the characterization parameters. Table 2 is a comparison table of the importance of the characterization parameters.

[0055]

[0056]

[0057] Table 2

[0058] As shown in Table 2, among the characterization parameters, the importance of casing wall thickness (A3) compared with other characterization parameters is used as an example for explanation. The relative importance of casing wall thickness (A3) and casing outer diameter (A4) is 1, that is, casing wall thickness (A3) and casing outer diameter (A4) are equally important; the relative importance of casing wall thickness (A3) and oil saturation (A18) is 6, that is, the importance of casing wall thickness (A3) and oil saturation (A18) is between obviously important and strongly important. By comparing the importance of the characterization parameters in Table 2, the importance comparison results between any two characterization parameters can be obtained, which will not be repeated here. Through the data in Table 2, the judgment matrix A can be further constructed. ij , when the number of representation factors is 20, the judgment matrix A ij It is a 20*20 matrix, as shown below:

[0059]

[0060] In the exemplary embodiment of the present application, the characterization parameter data in Table 1 may also be normalized and normalized, and the characterization parameters after normalization and normalization are shown in Table 3. Table 3 is a corresponding table of the standard feature matrix data after normalization and normalization.

[0061]

[0062]

[0063] Table 3

[0064] This application can construct a standard feature matrix Y based on Table 3 sj , where s is the number of casing damage wells and j is the number of characterization parameters. When the number of casing damage wells is 7 and the number of characterization parameters is 20, the constructed standard feature matrix Y sj for:

[0065]

[0066] Among them, y 11 is the standardized data of the first casing damage well (W1) under casing damage type (A1), y 12 is the standardized data of the first casing damaged well (W1) under the casing outer diameter (A2), y 21 This is the standardized data of the second casing damaged well (W2) under casing damage type (A1), and so on.

[0067] In step 120, a first weight of the characterization parameter is determined based on the judgment matrix, and a second weight of the characterization parameter is determined based on the standard feature matrix.

[0068] like Figure 31 is a flow chart of determining the first weight of a characterization parameter based on a judgment matrix provided in an embodiment of the present application. Figure 3 As shown, determining the first weight of the characterization parameter based on the judgment matrix may include steps 121 to 123.

[0069] In step 121, the judgment matrix is ​​normalized to obtain a first standard matrix corresponding to the judgment matrix. For example, the first standard feature matrix can be obtained by subtracting the mean of the elements in the judgment matrix from the elements of each row or column in the judgment matrix, and then dividing by the standard deviation of the elements in each row or column. By normalizing the judgment matrix, it can be ensured that each characterization parameter has the same contribution rate, thereby making it easier to quantitatively analyze and compare the characterization parameters. It should be noted that the normalization of the judgment matrix in this application is an exemplary description, and other methods can also be used to normalize the judgment matrix, and this application does not limit this.

[0070] In step 122, a consistency check is performed on the first standard matrix to obtain a consistency ratio. The consistency ratio of the first standard matrix can be calculated by formula (1).

[0071] CR=CI / RI (1)

[0072] In the above formula (1), CR is the consistency ratio, CI is the consistency index, and RI is the average random consistency index, which can be obtained by looking up the table. The RI of this application is 1.6287, and CI can be calculated by formula (2):

[0073] CI=λ-m / m-1 (2)

[0074] In the above formula (2), λ is the maximum eigenvalue of the first standard matrix, and m is the number of characterization parameters, that is, the order of the first standard matrix.

[0075] In step 123, the consistency ratio is compared with the preset consistency value. In response to the consistency ratio being less than or equal to the preset consistency value, the first weight of the characterization parameter is calculated based on the first standard matrix. Exemplarily, the preset consistency value can be set to 0.1, and the consistency ratio is compared with the preset consistency value. When the consistency ratio is less than or equal to 0.1, it is considered that the consistency of the first standard matrix meets the requirements, and the first weight of the characterization parameter can be calculated based on the first standard matrix; when the consistency ratio is greater than 0.1, it is considered that the consistency of the first standard matrix does not meet the requirements, and the comparison results of the importance of the casing damage well characterization parameters can be adjusted by various experts to update the judgment matrix. Execute steps 121 to 123 until the consistency of the first standard matrix meets the requirements. After obtaining the first standard matrix that meets the consistency requirements, the first weight of the characterization parameter can also be calculated based on the first standard matrix, where the first weight of the characterization parameter can be calculated by formula (3):

[0076]

[0077] In the above formula (3), w′ j is the first weight corresponding to the jth characterization parameter of the casing damage well, m is the number of characterization parameters, 1≤i≤m, 1≤k≤m, and i and k are integers, a′ ji and a′ kj is the element in the first standard matrix, that is, it is obtained after the elements in the judgment matrix are normalized. By combining the expert's experience in comparing the importance of the characterization parameters of casing damage wells, the expert's subjective score can be combined with data analysis to obtain the first weight of the characterization parameter.

[0078] like Figure 4 1 is a flow chart of determining the second weight of a characterization parameter based on a standard feature matrix provided in an embodiment of the present application. Figure 4 As shown, determining the second weight of the characterization parameter based on the standard feature matrix may include steps 124 to 126 .

[0079] In step 124, the weight value of each characterization parameter is calculated based on the standard feature matrix, and the second standard matrix is ​​constructed using the weight value. The weight value of each characterization parameter can be calculated by formula (4):

[0080]

[0081] In the above formula (4), p sj is the weight of the jth characterization parameter in all characterization parameters in the sth casing damage well, 1≤s≤n, 1≤j≤m, and s and j are integers, y sjis an element in the standard characteristic matrix. Then, the weight values ​​of the characterization parameters of the n casing damage wells are obtained, and the second standard matrix is ​​constructed using the weight values ​​of the characterization parameters of the n casing damage wells.

[0082] In step 125, the information entropy of the characterization parameters is calculated using the entropy weight evaluation model and the second standard matrix. The entropy weight evaluation model is used to calculate the information entropy of the characterization parameters. Exemplarily, the present application can construct an entropy weight evaluation model, the mapping function in the entropy weight evaluation model is formula (5), and the information entropy of the characterization parameters is calculated using formula (5) and the second standard matrix.

[0083]

[0084] In the above formula (5), E j is the information entropy of the jth characterization parameter, s has the same meaning as in formula (4), when s = 1, The information entropy of m characterization parameters in the first casing damage well can be obtained, and so on. sj is the element of the second standard matrix, that is, under the jth characterization parameter, the proportion of the sth casing damage well to the characterization parameter.

[0085] In step 126, the second weight of the characterization parameter is calculated using the information entropy. After obtaining the information entropy, the second weight of each characterization parameter can also be calculated using formula (6).

[0086]

[0087] In the above formula (6), w j is the second weight corresponding to the jth characterization parameter of the casing damage well, E j is the information entropy of the jth characterization parameter, and m is the number of characterization parameters. The second weight of the characterization parameter of each casing damage well can be calculated through the information entropy. The present application can more objectively and accurately determine the weight of each characterization parameter by allocating corresponding weights based on the amount of information provided by the characterization parameter.

[0088] In step 130, a combined weight of each characterization parameter is obtained based on the first weight and the second weight. The combined weight of the present application can be calculated by formula (7):

[0089]

[0090] In the above formula (7), β j is the combined weight corresponding to the jth characterization parameter of the casing damage well, m is the number of characterization parameters, and w′ j is the first weight corresponding to the jth characterization parameter of the casing damage well, w jis the second weight corresponding to the jth characterization parameter of the casing damage well. The combined weight value of each characterization parameter in each casing damage well can be calculated by formula (7). Table 4 is a table of the first weight, second weight and combined weight of each characterization parameter in a casing damage well in the embodiment of the present application.

[0091]

[0092] Table 4

[0093] It should be noted that Table 4 only shows the combined weight values ​​corresponding to different characterization parameters in the above casing damage wells. The combined weight values ​​corresponding to different characterization parameters of other casing damage wells can also be calculated based on the same or similar method.

[0094] In step 140, the repair potential value of the casing damaged well is determined by using the combined weight of the standard characteristic matrix and the characterization parameters, and the repair sequence of the casing damaged well is determined based on the repair potential value. The repair potential value of the casing damaged well of the present application can be calculated by formula (8):

[0095]

[0096] In the above formula (8), M s is the repair potential value of the s-th casing damaged well, 1≤s≤n, and s is an integer, m is the number of characterization parameters, y sj is the element of the standard feature matrix, β j is the combined weight corresponding to the jth characterization parameter of the casing damage well. When s=1, The repair potential value of the first casing damaged well calculated based on m combined weights can be obtained, and by analogy, the repair potential value of n casing damaged wells can be obtained. For example, n=7, and the repair potential value of the first casing damaged well W1 can be calculated by formula (8) to be 0.6029, the repair potential value of the second casing damaged well W2 to be 0.6653, the repair potential value of the third casing damaged well W3 to be 0.6642, the repair potential value of the fourth casing damaged well W4 to be 0.6856, the repair potential value of the fifth casing damaged well W5 to be 0.6479, the repair potential value of the sixth casing damaged well W6 to be 0.662, and the repair potential value of the seventh casing damaged well W7 to be 0.5825. The higher the repair potential value of the casing damaged well, the more priority it can be selected for repair. The repair potential values ​​of the casing damaged wells are sorted from large to small, and the repair order of the 7 casing damaged wells can be obtained as W4→W2→W3→W6→W5→W1→W7.

[0097] According to the embodiment of the present application, a first weight and a second weight of each characterization parameter of the casing damaged well are obtained by obtaining and processing the characterization parameters, and a combined weight of each characterization parameter of the casing damaged well is obtained based on the first weight and the second weight, and the repair potential value of the casing damaged well is determined by using the combined weight, and the repair sequence of the casing damaged well is further determined. The present application determines the repair sequence of the casing damaged well by characterizing parameters from multiple aspects, improves the accuracy and rationality of the repair sequence of the casing damaged well, and repairs the casing damaged well based on the repair sequence of the casing damaged well, so as to obtain the maximum production benefit at a low repair cost.

[0098] Figure 5 FIG. 1 is a schematic diagram of a structure of a device for determining a repair sequence of a casing damaged well provided in an embodiment of the present application. Figure 5 As shown, the device comprises:

[0099] The data acquisition module 510 is used to acquire multiple characterization parameters of the casing damage well and construct a judgment matrix and a standard feature matrix based on the characterization parameters.

[0100] When the casing damaged well is an oil well, the characterization parameters of the casing damaged well include a first characterization parameter, a second characterization parameter and a third characterization parameter; when the casing damaged well is a water well, the characterization parameters of the casing damaged well include a fourth characterization parameter, a second characterization parameter and a third characterization parameter. The data acquisition module 510 is used to acquire the first characterization parameter of the casing damaged well based on the oil well productivity recovery system, wherein the first characterization parameter includes the number of lost oil layers, the normal production before casing damage, the current production, the number of remaining unshot oil layers, the permeability of the unshot layer, the thickness of the unshot layer, the thickness of the lost layer and the oil saturation of the unshot layer; acquire the second characterization parameter of the casing damaged well based on the casing damaged well repair investment system, wherein the second characterization parameter includes the casing damage type, the outer diameter of the casing, the casing damage depth, the depth of the production layer, the minimum inner diameter, the wall thickness of the casing, the length of the casing damage section, the well deviation of the casing damage section, the maximum well deviation and the maximum well deviation depth; acquire the third characterization parameter of the casing damaged well based on the casing damaged well safety and environmental protection system, wherein the third characterization parameter includes the well control level and the wellbore integrity; acquire the fourth characterization parameter of the casing damaged well based on the water well injection capacity system, wherein the fourth characterization parameter includes the number of lost water injection layers, the normal injection volume before casing damage, the current injection volume, the number of remaining unshot injection layers, the permeability of the unshot layer and the thickness of the unshot layer.

[0101] The weight determination module 520 is used to determine the first weight of the characterization parameter based on the judgment matrix, and determine the second weight of the characterization parameter based on the standard feature matrix.

[0102] The weight determination module 520 is used to: normalize the judgment matrix to obtain a first standard matrix corresponding to the judgment matrix; perform a consistency check on the first standard matrix to obtain a consistency ratio; compare the consistency ratio with a consistency preset value, and in response to the consistency ratio being less than or equal to the consistency preset value, calculate the first weight of the characterization parameter based on the first standard matrix.

[0103] The weight determination module 520 is used to: calculate the weight value of each characterization parameter based on the standard feature matrix, and use the weight value to construct a second standard matrix; use the entropy weight evaluation model and the second standard matrix to calculate the information entropy of the characterization parameter, and the entropy weight evaluation model is used to calculate the information entropy of the characterization parameter; use the information entropy to calculate the second weight of the characterization parameter.

[0104] The weight combination module 530 is used to obtain a combination weight of each characterization parameter based on the first weight and the second weight.

[0105] In the exemplary embodiment of the present application, the combined weight β corresponding to the jth characterization parameter of the casing damage well is j satisfy:

[0106]

[0107] Among them, m is the number of characterization parameters, w j ′ is the first weight corresponding to the jth characterization parameter of the casing damage well, w j is the second weight corresponding to the jth characterization parameter of the casing damage well.

[0108] The repair parameter determination module 540 is used to determine the repair potential value of the casing damaged well by using the standard characteristic matrix and the combination weight, and determine the repair sequence of the casing damaged well based on the repair potential value.

[0109] In the exemplary embodiment of the present application, the repair potential value M of the s-th casing damaged well is s satisfy: Where, 1≤s≤n, and s is an integer, n is the number of casing damage wells, m is the number of characterization parameters, and y is the sj is the element of the standard feature matrix, β j is the combined weight corresponding to the jth characterization parameter of the casing damage well, and m is the number of characterization parameters.

[0110] According to the embodiment of the present application, a first weight and a second weight of each characterization parameter of the casing damaged well are obtained by obtaining and processing the characterization parameters, and a combined weight of each characterization parameter of the casing damaged well is obtained based on the first weight and the second weight, and the repair potential value of the casing damaged well is determined by using the combined weight, and the repair sequence of the casing damaged well is further determined. The present application determines the repair sequence of the casing damaged well by characterizing parameters from multiple aspects, improves the accuracy and rationality of the repair sequence of the casing damaged well, and repairs the casing damaged well based on the repair sequence of the casing damaged well, so as to obtain the maximum production benefit at a low repair cost.

[0111] It should be understood that the above-mentioned device only uses the division of the above-mentioned functional modules as an example to illustrate when implementing its functions. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments belong to the same concept, and their specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0112] Figure 6 The following is a block diagram of a terminal device provided by an exemplary embodiment of the present application. The terminal device 1100 may be a portable mobile terminal, such as a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III), an MP4 player (Moving Picture Experts Group Audio Layer IV), a laptop computer or a desktop computer. The terminal device 1100 may also be referred to as a user device, a portable terminal, a laptop terminal, a desktop terminal or other names.

[0113] Typically, the terminal device 1100 includes: a processor 1101 and a memory 1102 .

[0114] The processor 1101 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 1101 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 1101 may also include a main processor and a coprocessor. The main processor is a processor for processing data in an awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 1101 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 1101 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0115] The memory 1102 may include one or more computer-readable storage media, which may be non-transitory. The memory 1102 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 1102 is used to store at least one instruction, which is executed by the processor 1101 to implement the present application. Figure 2 The method embodiment shown provides a method for determining the repair sequence of a casing damaged well.

[0116] In some embodiments, the terminal device 1100 may also optionally include: a peripheral device interface 1103 and at least one peripheral device. The processor 1101, the memory 1102 and the peripheral device interface 1103 may be connected via a bus or a signal line. Each peripheral device may be connected to the peripheral device interface 1103 via a bus, a signal line or a circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 1104, a display screen 1105, a camera assembly 1106, an audio circuit 1107, a positioning assembly 1108 and a power supply 1109.

[0117] The peripheral device interface 1103 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 1101 and the memory 1102. In some embodiments, the processor 1101, the memory 1102, and the peripheral device interface 1103 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1101, the memory 1102, and the peripheral device interface 1103 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

[0118] The radio frequency circuit 1104 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 1104 communicates with the communication network and other communication devices through electromagnetic signals. The radio frequency circuit 1104 converts the electrical signal into an electromagnetic signal for transmission, or converts the received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 1104 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, and the like. The radio frequency circuit 1104 can communicate with other terminal devices through at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G and 5G), a wireless local area network and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 1104 may also include circuits related to NFC (Near Field Communication), which is not limited in this application.

[0119] The display screen 1105 is used to display a UI (User Interface). The UI may include graphics, text, icons, videos, and any combination thereof. When the display screen 1105 is a touch display screen, the display screen 1105 also has the ability to collect touch signals on the surface or above the surface of the display screen 1105. The touch signal can be input to the processor 1101 as a control signal for processing. At this time, the display screen 1105 can also be used to provide virtual buttons and / or virtual keyboards, also known as soft buttons and / or soft keyboards. In some embodiments, the display screen 1105 can be one, which is set on the front panel of the terminal device 1100; in other embodiments, the display screen 1105 can be at least two, which are respectively set on different surfaces of the terminal device 1100 or are folded; in other embodiments, the display screen 1105 can be a flexible display screen, which is set on the curved surface or folded surface of the terminal device 1100. Even, the display screen 1105 can also be set to a non-rectangular irregular shape, that is, a special-shaped screen. The display screen 1105 can be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0120] The camera assembly 1106 is used to capture images or videos. Optionally, the camera assembly 1106 includes a front camera and a rear camera. Typically, the front camera is arranged on the front panel of the terminal device 1100, and the rear camera is arranged on the back of the terminal device 1100. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth of field camera, a wide-angle camera, and a telephoto camera, so as to realize the fusion of the main camera and the depth of field camera to realize the background blur function, the fusion of the main camera and the wide-angle camera to realize panoramic shooting and VR (Virtual Reality) shooting function or other fusion shooting functions. In some embodiments, the camera assembly 1106 may also include a flash. The flash can be a monochrome temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cold light flash, which can be used for light compensation at different color temperatures.

[0121] The audio circuit 1107 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, and convert the sound waves into electrical signals and input them into the processor 1101 for processing, or input them into the radio frequency circuit 1104 to achieve voice communication. For the purpose of stereo acquisition or noise reduction, there may be multiple microphones, which are respectively arranged at different parts of the terminal device 1100. The microphone may also be an array microphone or an omnidirectional acquisition microphone. The speaker is used to convert the electrical signal from the processor 1101 or the radio frequency circuit 1104 into sound waves. The speaker may be a traditional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert the electrical signal into sound waves audible to humans, but also convert the electrical signal into sound waves inaudible to humans for purposes such as ranging. In some embodiments, the audio circuit 1107 may also include a headphone jack.

[0122] The positioning component 1108 is used to locate the current geographical location of the terminal device 1100 to implement navigation or LBS (Location Based Service). The positioning component 1108 can be a positioning component based on the US GPS (Global Positioning System), China's Beidou system, Russia's Grenas system, or the European Union's Galileo system.

[0123] The power supply 1109 is used to power various components in the terminal device 1100. The power supply 1109 can be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 1109 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery charged through a wired line, and a wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0124] In some embodiments, the terminal device 1100 further includes one or more sensors 1110. The one or more sensors 1110 include but are not limited to: an acceleration sensor 1111, a gyroscope sensor 1112, a pressure sensor 1113, a fingerprint sensor 1114, an optical sensor 1115, and a proximity sensor 1116.

[0125] The acceleration sensor 1111 can detect the magnitude of acceleration on the three coordinate axes of the coordinate system established by the terminal device 1100. For example, the acceleration sensor 1111 can be used to detect the components of gravity acceleration on the three coordinate axes. The processor 1101 can control the display screen 1105 to display the user interface in a horizontal view or a vertical view according to the gravity acceleration signal collected by the acceleration sensor 1111. The acceleration sensor 1111 can also be used to collect game or user motion data.

[0126] The gyroscope sensor 1112 can detect the body direction and rotation angle of the terminal device 1100, and the gyroscope sensor 1112 can cooperate with the acceleration sensor 1111 to collect the user's 3D actions on the terminal device 1100. The processor 1101 can implement the following functions based on the data collected by the gyroscope sensor 1112: motion sensing (such as changing the UI according to the user's tilt operation), image stabilization during shooting, game control, and inertial navigation.

[0127] The pressure sensor 1113 can be set on the side frame of the terminal device 1100 and / or the lower layer of the display screen 1105. When the pressure sensor 1113 is set on the side frame of the terminal device 1100, the user's holding signal of the terminal device 1100 can be detected, and the processor 1101 performs left and right hand recognition or shortcut operations according to the holding signal collected by the pressure sensor 1113. When the pressure sensor 1113 is set on the lower layer of the display screen 1105, the processor 1101 controls the operability controls on the UI interface according to the user's pressure operation on the display screen 1105. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

[0128] The fingerprint sensor 1114 is used to collect the user's fingerprint, and the processor 1101 identifies the user's identity based on the fingerprint collected by the fingerprint sensor 1114, or the fingerprint sensor 1114 identifies the user's identity based on the collected fingerprint. When the user's identity is identified as a trusted identity, the processor 1101 authorizes the user to perform relevant sensitive operations, which include unlocking the screen, viewing encrypted information, downloading software, paying, and changing settings. The fingerprint sensor 1114 can be set on the front, back, or side of the terminal device 1100. When a physical button or a manufacturer logo is set on the terminal device 1100, the fingerprint sensor 1114 can be integrated with the physical button or the manufacturer logo.

[0129] The optical sensor 1115 is used to collect the ambient light intensity. In one embodiment, the processor 1101 can control the display brightness of the display screen 1105 according to the ambient light intensity collected by the optical sensor 1115. Specifically, when the ambient light intensity is high, the display brightness of the display screen 1105 is increased; when the ambient light intensity is low, the display brightness of the display screen 1105 is reduced. In another embodiment, the processor 1101 can also dynamically adjust the shooting parameters of the camera assembly 1106 according to the ambient light intensity collected by the optical sensor 1115.

[0130] The proximity sensor 1116, also known as a distance sensor, is usually arranged on the front panel of the terminal device 1100. The proximity sensor 1116 is used to collect the distance between the user and the front of the terminal device 1100. In one embodiment, when the proximity sensor 1116 detects that the distance between the user and the front of the terminal device 1100 is gradually decreasing, the processor 1101 controls the display screen 1105 to switch from the screen-on state to the screen-off state; when the proximity sensor 1116 detects that the distance between the user and the front of the terminal device 1100 is gradually increasing, the processor 1101 controls the display screen 1105 to switch from the screen-off state to the screen-on state.

[0131] Those skilled in the art will understand that Figure 6 The structure shown in the figure does not constitute a limitation on the terminal device 1100, and may include more or fewer components than shown in the figure, or combine certain components, or adopt a different component arrangement.

[0132] Figure 7 The schematic diagram of the structure of the server provided in the embodiment of the present application, the server 1200 may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) 1201 and one or more memories 1202, wherein the one or more memories 1202 store at least one program code, and the at least one program code is loaded and executed by the one or more processors 1201 to implement Figure 2 The method embodiment shown provides a method for determining the repair sequence of a casing damaged well. Of course, the server 1200 may also have components such as a wired or wireless network interface, a keyboard, and an input / output interface for input and output. The server 1200 may also include other components for realizing device functions, which will not be described in detail here.

[0133] In an exemplary embodiment, a computer-readable storage medium is also provided, wherein at least one program code is stored in the storage medium, and the at least one program code is loaded and executed by a processor to enable a computer to implement the above Figure 2 The method embodiment shown provides a method for determining the repair sequence of a casing damaged well.

[0134] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0135] In an exemplary embodiment, a computer program or a computer program product is also provided, wherein at least one computer instruction is stored in the computer program or the computer program product, and the at least one computer instruction is loaded and executed by a processor to enable a computer to implement the above Figure 2 The method embodiment shown provides a method for determining the repair sequence of a casing damaged well.

[0136] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions. For example, the characterization parameters of casing damage wells involved in this application are all obtained with full authorization.

[0137] It should be understood that the "plurality" mentioned in this article refers to two or more. "And / or" describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0138] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0139] The above description is only an exemplary embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for determining the repair sequence of a casing damaged well, characterized in that: The method comprises: Acquire multiple characterization parameters of the casing damaged well, and construct a judgment matrix and a standard feature matrix based on the characterization parameters; Determine a first weight of the characterization parameter based on the judgment matrix, and determine a second weight of the characterization parameter based on the standard feature matrix; Obtaining a combined weight of each of the characterization parameters based on the first weight and the second weight; The repair potential value of the casing damaged well is determined by using the standard feature matrix and the combined weight of the characterization parameters, and the repair sequence of the casing damaged well is determined based on the repair potential value.

2. The method for determining the repair sequence of casing damaged wells according to claim 1, characterized in that: The combined weight β corresponding to the jth characterization parameter of the casing damage well j satisfy: Wherein, m is the number of the characterization parameters, w j ′ is the first weight corresponding to the jth characterization parameter of the casing damage well, w j is the second weight corresponding to the j-th characterization parameter of the casing damage well, 1≤j≤m, and j is an integer.

3. The method for determining the repair sequence of casing damaged wells according to claim 1, characterized in that: The repair potential value M of the casing damaged well described in No. s s satisfy: Where, 1≤s≤n, and s is an integer, n is the number of casing damage wells, y sj is the element in the standard feature matrix, β j is the combined weight corresponding to the j-th characterization parameter of the casing damage well, and m is the number of the characterization parameters.

4. The method for determining the repair sequence of casing damaged wells according to any one of claims 1 to 3, characterized in that: The determining the first weight of the characterization parameter based on the judgment matrix includes: Normalizing the judgment matrix to obtain a first standard matrix corresponding to the judgment matrix; Performing a consistency test on the first standard matrix to obtain a consistency ratio; The consistency ratio is compared with the preset consistency value, and in response to the consistency ratio being less than or equal to the preset consistency value, the first weight of the characterization parameter is calculated based on the first standard matrix.

5. The method for determining the repair sequence of casing damaged wells according to any one of claims 1 to 3, characterized in that: The determining the second weight of the characterization parameter based on the standard feature matrix comprises: Calculating a specific gravity value of each of the characterization parameters based on the standard characteristic matrix, and constructing a second standard matrix using the specific gravity values; Calculating the information entropy of the characterization parameter by using an entropy weight evaluation model and the second standard matrix, wherein the entropy weight evaluation model is used to calculate the information entropy of the characterization parameter; The second weight of the characterization parameter is calculated using the information entropy.

6. The method for determining the repair sequence of casing damaged wells according to claim 1, characterized in that: The casing damage well includes an oil well and a water well. When the casing damage well is an oil well, the characterization parameters of the casing damage well include a first characterization parameter, a second characterization parameter, and a third characterization parameter. When the casing damage well is a water well, the characterization parameters of the casing damage well include a fourth characterization parameter, a second characterization parameter, and a third characterization parameter. The obtaining of multiple characterization parameters of each casing damage well includes: The first characterization parameter of the casing damaged well is obtained based on the oil well productivity recovery system, wherein the first characterization parameter includes the number of lost oil layers, the normal production before casing damage, the current production, the number of remaining unshot oil layers, the permeability of the unshot layer, the thickness of the unshot layer, the thickness of the lost layer, and the oil saturation of the unshot layer; The second characterization parameter of the casing damaged well is obtained based on the casing damaged well repair investment system, wherein the second characterization parameter includes casing damage type, casing outer diameter, casing damage depth, pay zone depth, minimum inner diameter, casing wall thickness, casing damage section length, casing damage section well deviation, maximum well deviation and maximum well deviation depth; Acquiring the third characterization parameter of the casing damaged well based on the casing damaged well safety and environmental protection system, wherein the third characterization parameter includes the well control level and the wellbore integrity; The fourth characterization parameter of the casing damaged well is obtained based on the water well injection capacity system, and the fourth characterization parameter includes the number of lost water injection layers, the normal injection volume before casing damage, the current injection volume, the number of remaining unshot injection layers, the permeability of the unshot layers, and the thickness of the unshot layers.

7. A device for determining the repair sequence of a casing damaged well, characterized in that: The device comprises: A data acquisition module, used to acquire multiple characterization parameters of the casing damage well, and construct a judgment matrix and a standard feature matrix based on the characterization parameters; A weight determination module, used to determine a first weight of the characterization parameter based on the judgment matrix, and to determine a second weight of the characterization parameter based on the standard feature matrix; A weight combination module, configured to obtain a combination weight of each of the characterization parameters based on the first weight and the second weight; A repair parameter determination module is used to determine the repair potential value of the casing damaged well by using the standard feature matrix and the combined weight of the characterization parameter, and determine the repair sequence of the casing damaged well based on the repair potential value.

8. The device for determining the repair sequence of casing damaged wells according to claim 7, characterized in that: The combined weight β corresponding to the jth characterization parameter of the casing damage well j satisfy: Wherein, m is the number of the characterization parameters, w j ′ is the first weight corresponding to the jth characterization parameter of the casing damage well, w j is the second weight corresponding to the j-th characterization parameter of the casing damage well, 1≤j≤m, and j is an integer.

9. A computer device, characterized in that: The computer device includes a processor and a memory, wherein at least one program code is stored in the memory, and the at least one program code is loaded and executed by the processor, so that the computer device implements the method for determining the repair sequence of a casing damaged well as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one program code, and the at least one program code is loaded and executed by a processor so that a computer implements the method for determining a repair sequence of a casing damaged well according to any one of claims 1 to 6.

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