Methods, devices, apparatuses, and storage media for determining integrity parameters of a wellbore

Abstract

The application provides a method, device and equipment for determining an integrity parameter of a wellbore and a storage medium, and belongs to the technical field of oil exploitation. The method comprises the following steps: obtaining first scale information of a plurality of integrity indexes of a wellbore to be determined, wherein the plurality of integrity indexes comprise a plurality of integrity indexes in a wellhead device, a production casing, a cement sheath, a formation, a tubing and a packer; determining a first weight value of each integrity index based on the first scale information of each integrity index; determining a second risk level score of each integrity index based on a first risk level score of at least one integrity parameter of each integrity index and a second weight value; and determining the integrity parameter of the wellbore based on the second risk level score of each integrity index and the first weight value. The method improves the accuracy of the determined integrity condition of the wellbore.

Description

Technical Field

[0001] This application relates to the field of oil extraction technology, and in particular to a method, apparatus, equipment and storage medium for determining the integrity parameters of a wellbore. Background Technology

[0002] In the process of water injection development in oilfields, the integrity of the injection wellbore is crucial to the overall development quality of the oilfield. With continuous oilfield development, wellbore conditions can lead to equipment corrosion and aging, decreased tubing strength, cement sheath seal failure, and outdated management practices, all of which alter the integrity of the wellbore. Therefore, timely monitoring of wellbore integrity is essential for successful water injection development in oilfields.

[0003] In related technologies, the integrity parameters of the wellbore are generally determined qualitatively by a single indicator of the wellbore. For example, the integrity parameters of the wellbore are determined by the integrity of the downhole tubing and tools. However, the results obtained in this way are one-sided and cannot accurately and comprehensively reflect the integrity of the wellbore, resulting in low accuracy of the determined wellbore integrity status. Summary of the Invention

[0004] This application provides a method, apparatus, device, and storage medium for determining wellbore integrity parameters, which can improve the accuracy of the determined wellbore integrity status. The technical solution is as follows:

[0005] On the one hand, a method for determining the integrity parameters of a wellbore is provided, the method comprising:

[0006] Obtain first-scale information on multiple integrity indicators of the wellbore to be determined, including multiple indicators from wellhead equipment, production casing, cement sheath, formation, tubing, and packer;

[0007] Based on the first scaling information of each integrity indicator, a first weight value for each integrity indicator is determined.

[0008] For each integrity metric, obtain at least one integrity parameter of the integrity metric;

[0009] Based on at least one integrity parameter of each integrity indicator, a first risk level score and a second weight value are determined for at least one integrity parameter of each integrity indicator.

[0010] The second risk level score of each integrity indicator is determined based on the first risk level score and the second weight value of at least one integrity parameter of each integrity indicator.

[0011] The integrity parameters of the wellbore are determined based on the second risk level score and the first weight value of each integrity index.

[0012] In one possible implementation, the first scaling information for each integrity metric includes a first importance scaling for each integrity metric;

[0013] The step of determining the first weight value of each integrity index based on the first scaling information of each integrity index includes:

[0014] The first importance scale of each integrity indicator is used to form a first judgment matrix;

[0015] The first judgment matrix is ​​normalized to obtain the first weight value of each integrity index.

[0016] In one possible implementation, determining a first risk level score and a second weight value for at least one integrity parameter of each integrity index based on at least one integrity parameter of each integrity index includes:

[0017] For each integrity index, second scaling information of each integrity parameter of the integrity index is obtained, as well as integrity information and first relationship data of each integrity parameter are obtained, wherein the first relationship data is used to represent the relationship between the risk level score and the integrity information;

[0018] For each integrity parameter, based on the integrity information of the integrity parameter and the first relationship data, a first risk level score corresponding to the integrity parameter is determined;

[0019] Based on the second scaling information of each integrity parameter, a second weight value for each integrity parameter is determined.

[0020] In one possible implementation, the second scaling information for each integrity parameter includes a second importance scaling for each integrity parameter;

[0021] The step of determining the second weight value of each integrity parameter based on the second scaling information of each integrity parameter includes:

[0022] The second importance scale of each integrity parameter is used to form a second judgment matrix;

[0023] The second judgment matrix is ​​normalized to obtain the second weight value of each integrity parameter.

[0024] In one possible implementation, determining the second risk level score of each integrity indicator based on a first risk level score and a second weight value of at least one integrity parameter of each integrity indicator includes:

[0025] For each integrity indicator, the first risk level score and the second weight value of at least one integrity parameter of the integrity indicator are weighted and summed to obtain the second risk level score of the integrity indicator.

[0026] In one possible implementation, obtaining the integrity information for each integrity parameter of the integrity index includes:

[0027] If the integrity index includes wellhead equipment, then the integrity parameters of the wellhead equipment include the sealing parameters of the wellhead tree, and the sealing information of the wellhead tree is obtained as the integrity information of the sealing parameters of the wellhead tree.

[0028] If the integrity index includes the production casing, then the integrity parameters of the production casing include the casing integrity parameters and the casing pressure bearing parameters. The integrity information and pressure bearing information of the production casing are obtained as the integrity information of the casing integrity parameters and the casing pressure bearing parameters, respectively.

[0029] If the integrity index includes cement sheath, then the integrity parameters of the cement sheath include cement return height parameters and cementing quality parameters. The location information and quality information of the cement return height of the cement sheath are obtained as the integrity information of the cement return height parameters and the cementing quality parameters, respectively.

[0030] If the integrity index includes the formation, then the integrity parameters of the formation include hydrogen sulfide parameters, wellhead injection pressure parameters, and injection pressure safety parameters. The hydrogen sulfide content information, wellhead pressure information, and injection pressure safety factor information of the formation are obtained as the integrity information of the hydrogen sulfide parameters, the wellhead injection pressure parameters, and the injection pressure safety parameters, respectively.

[0031] If the integrity index includes a tubing, then the integrity parameter of the tubing includes the tubing integrity parameter, and the tubing integrity information is obtained as the integrity information of the tubing integrity parameter;

[0032] If the integrity index includes a packer, then the integrity parameters of the packer include packer functional integrity parameters, and the sealing information of the packer is obtained as the integrity information of the packer functional integrity parameters.

[0033] In one possible implementation, determining the integrity parameters of the wellbore based on the second risk level score and the first weight value of each integrity index includes:

[0034] The integrity parameters of the wellbore are obtained by weighted summing of the second risk level score and the first weight value of each integrity index.

[0035] On the other hand, a device for determining the integrity parameters of a wellbore is provided, the device comprising:

[0036] The first acquisition module is used to acquire first scale information of multiple integrity indicators of the wellbore to be determined, wherein the multiple integrity indicators include multiple components of the wellhead equipment, production casing, cement sheath, formation, tubing and packer.

[0037] The first determining module is used to determine the first weight value of each integrity index based on the first scaling information of each integrity index.

[0038] The second acquisition module is used to acquire at least one integrity parameter of each integrity indicator.

[0039] The second determining module is used to determine a first risk level score and a second weight value for at least one integrity parameter of each integrity indicator based on at least one integrity parameter of each integrity indicator.

[0040] The third determining module is used to determine the second risk level score of each integrity indicator based on the first risk level score and the second weight value of at least one integrity parameter of each integrity indicator.

[0041] The fourth determining module is used to determine the integrity parameters of the wellbore based on the second risk level score and the first weight value of each integrity index.

[0042] In one possible implementation, the first scaling information for each integrity metric includes a first importance scaling for each integrity metric;

[0043] The first determining module includes:

[0044] The constituent unit is used to form a first judgment matrix by taking the first importance scale of each integrity index;

[0045] The processing unit is used to normalize the first judgment matrix to obtain the first weight value of each integrity index.

[0046] In one possible implementation, the second determining module includes:

[0047] The acquisition unit is configured to, for each integrity indicator, acquire second scaling information of each integrity parameter of the integrity indicator, and acquire integrity information and first relationship data of each integrity parameter, wherein the first relationship data is used to represent the relationship between the risk level score and the integrity information;

[0048] The first determining unit is configured to, for each integrity parameter, determine a first risk level score corresponding to the integrity parameter based on the integrity information of the integrity parameter and the first relationship data;

[0049] The second determining unit is used to determine the second weight value of each integrity parameter based on the second scaling information of each integrity parameter.

[0050] In one possible implementation, the second scaling information for each integrity parameter includes a second importance scaling for each integrity parameter;

[0051] The second determining unit includes:

[0052] The sub-units are used to form a second judgment matrix by combining the second importance scale of each integrity parameter;

[0053] The processing subunit is used to normalize the second judgment matrix to obtain the second weight value of each integrity parameter.

[0054] In one possible implementation, the third determining module includes:

[0055] For each integrity indicator, the first risk level score and the second weight value of at least one integrity parameter of the integrity indicator are weighted and summed to obtain the second risk level score of the integrity indicator.

[0056] In one possible implementation, the acquiring unit includes:

[0057] The first acquisition subunit is used to acquire the sealing information of the wellhead as the integrity information of the sealing parameters of the wellhead if the integrity index includes the wellhead device, and the integrity parameters of the wellhead device include the sealing parameters of the wellhead.

[0058] The second acquisition subunit is used to acquire the integrity information and pressure information of the production casing as the integrity information of the casing integrity parameter and the casing pressure bearing parameter, respectively, if the integrity index includes the production casing.

[0059] The third acquisition subunit is used to acquire the location information and quality information of the cement return height of the cement sheath as the integrity information of the cement return height parameter and the cement quality parameter, respectively, if the integrity index includes cement sheath, then the integrity parameters of the cement sheath include cement return height parameter and cement quality parameter.

[0060] The fourth acquisition subunit is used to acquire, if the integrity index includes a formation, the integrity parameters of the formation include hydrogen sulfide parameters, wellhead water injection pressure parameters and water injection pressure safety parameters, and to acquire the hydrogen sulfide content information, wellhead pressure information and water injection pressure safety factor information of the formation as the integrity information of the hydrogen sulfide parameters, the wellhead water injection pressure parameters and the water injection pressure safety parameters, respectively.

[0061] The fifth acquisition subunit is used to acquire the complete information of the oil pipe as the complete information of the oil pipe integrity parameter if the integrity index includes the oil pipe and the oil pipe integrity parameter is included.

[0062] The sixth acquisition subunit is used to acquire the sealing information of the packer as the integrity information of the packer functional integrity parameter if the integrity index includes a packer and the integrity parameter of the packer includes a packer functional integrity parameter.

[0063] In one possible implementation, the fourth determining module includes:

[0064] The integrity parameters of the wellbore are obtained by weighted summing of the second risk level score and the first weight value of each integrity index.

[0065] On the other hand, a computer device is provided, the computer device including one or more processors and one or more memories, the one or more memories storing at least one instruction, the at least one instruction being loaded and executed by the one or more processors to perform the operations performed by the method for determining the integrity parameters of the wellbore as described above.

[0066] On the other hand, a computer-readable storage medium is provided, wherein at least one piece of program code is stored in the computer-readable storage medium, the at least one piece of program code being loaded and executed by a processor to implement the steps in the method for determining the integrity parameters of the wellbore as described in any of the above implementations.

[0067] On the other hand, a computer program product or computer program is provided, the computer program product or computer program including computer program code stored in a computer-readable storage medium. A processor of a computer device reads the computer program code from the computer-readable storage medium, and the processor executes the computer program code, causing the computer device to perform the operations performed by the method for determining the integrity parameters of the wellbore described above.

[0068] The beneficial effects of the technical solutions provided in this application include at least the following:

[0069] This application provides a method for determining wellbore integrity parameters. This method determines wellbore integrity parameters by using the second risk level score and first weight value of multiple integrity indicators from the wellhead equipment, production casing, cement sheath, formation, tubing, and packer. This achieves a quantitative characterization of wellbore integrity, and the integrity parameters comprehensively reflect the wellbore's integrity status, thereby improving the accuracy of the determined wellbore integrity status. Attached Figure Description

[0070] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0071] Figure 1 This is a flowchart illustrating a method for determining wellbore integrity parameters according to an embodiment of this application;

[0072] Figure 2 This is a block diagram of a device for determining the integrity parameters of a wellbore, as provided in an embodiment of this application.

[0073] Figure 3 This is a block diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0074] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0075] The terms "first," "second," "third," and "fourth," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0076] This application provides a method for determining wellbore integrity parameters. See [link to relevant documentation]. Figure 1 The methods include:

[0077] Step 101: The computer equipment acquires first-scale information on multiple integrity indicators of the wellbore to be determined, including multiple indicators from the wellhead equipment, production casing, cement sheath, formation, tubing, and packer.

[0078] Among them, the wellbore to be determined can be the wellbore of the water injection well whose integrity parameters need to be determined.

[0079] The multiple integrity indicators include multiple components such as wellhead equipment, production casing, cement sheath, formation, tubing, and packer; for example, in one possible implementation, the multiple integrity indicators include wellhead equipment, production casing, and cement sheath. In another possible implementation, the multiple integrity indicators include cement sheath, formation, tubing, and packer. In yet another possible implementation, the multiple integrity indicators include wellhead equipment, production casing, cement sheath, formation, tubing, and packer. In yet another possible implementation, the multiple integrity indicators include wellhead equipment, production casing, cement sheath, formation, tubing, and packer.

[0080] In this embodiment of the application, multiple integrity indicators, including wellhead equipment, production casing, cement sheath, formation, tubing, and packer, are used as examples for illustration.

[0081] The first scale information for each integrity index includes the first importance scale for each integrity index. Referring to Table 1, the first importance scale for each integrity index is the quantified ratio of the importance level of that integrity index to the integrity parameters of the wellbore to the importance level of each integrity index to the integrity parameters of the wellbore.

[0082] For each integrity metric, the first importance scale of the integrity metric includes multiple first scale values, which are the quantitative ratios of the importance level of the integrity metric to the importance level of each integrity metric.

[0083] Table 1

[0084]

[0085] See Table 2. Each column in Table 2 represents multiple first-scale values ​​for each integrity index, which can be obtained from well data in the wellbore.

[0086] Taking the wellhead device as an example, the multiple first scale values ​​of the wellhead device are the quantitative ratios of the importance level of the wellhead device to the importance levels of the wellhead device, production casing, cement sheath, formation, tubing and packer, respectively, which are 1, 3, 1 / 3, 1 / 5, 1 / 5 and 3.

[0087] Taking production casing as an example, the multiple first scale values ​​of production casing are quantitative ratios of the importance level of production casing to the importance levels of wellhead equipment, production casing, cementing sheath, formation, tubing and packer, respectively, which are 1 / 3, 1, 1 / 3, 1 / 5, 1 / 3 and 3.

[0088] Table 2

[0089]

[0090]

[0091] Step 102: The computer device determines the first weight value of each integrity indicator based on the first scaling information of each integrity indicator.

[0092] This step can be achieved through the following steps (1)-(2):

[0093] (1) The computer equipment uses the first importance scale of each integrity indicator to form a first judgment matrix.

[0094] The integrity indicators include six aspects: wellhead equipment, production casing, cement sheath, formation, tubing, and packer. Each integrity indicator's first importance scale comprises six first scale values. These six first scale values ​​are arranged into a 6x6 matrix. Each column of this matrix contains the six first scale values ​​for each of the following: wellhead equipment, production casing, cement sheath, formation, tubing, and packer. The first column contains the six first scale values ​​for the wellhead equipment: 1, 3, 1 / 3, 1 / 5, 1 / 5, 3. The second column contains the six first scale values ​​for the production casing: 1 / 3, 1, 1 / 3, 1 / 5, 1 / 3, 3. The third column contains the six first scale values ​​for the cement sheath: 3, 3, 1, 1 / 3, 1 / 3, 3. The fourth column contains the six first scale values ​​for the formation: 5, 5, 3, 1, 3, 5. The fifth column contains the six first-scale values ​​for the tubing: 5, 3, 3, 1 / 3, 1, 3. The sixth column contains the six first-scale values ​​for the packer: 1 / 3, 1 / 3, 1 / 3, 1 / 5, 1 / 3, 1. This matrix is ​​used as the first judgment matrix.

[0095] The first judgment matrix is:

[0096]

[0097] (2) The computer equipment normalizes the first judgment matrix to obtain the first weight value of each integrity index.

[0098] The computer equipment normalizes the first judgment matrix to make the sum of the first weight values ​​of multiple integrity indicators equal to 1.

[0099] See Table 3, which includes the first weight value for each integrity index obtained; wherein, wellhead equipment, production casing, cement sheath, formation, tubing and packer are represented by A, B, C, D, E and F respectively, and the first weight values ​​for wellhead equipment, production casing, cement sheath, formation, tubing and packer are represented by W_A, W_B, W_C, W_D, W_E and W_F respectively.

[0100] Table 3

[0101]

[0102] Step 103: For each integrity metric, the computer device obtains at least one integrity parameter of the integrity metric.

[0103] If the integrity index includes the wellhead equipment, the computer equipment obtains the sealing parameters of the wellhead tree as the integrity parameters of the wellhead equipment.

[0104] Considering that the physical pressure-bearing capacity of the wellhead equipment is far higher than its rated working load, and its mechanical pressure-bearing capacity is very safe, the integrity of the wellhead equipment should focus more on the sealing performance of the wellhead seals. Therefore, the sealing parameters of the production tree are used as the integrity parameters of the wellhead equipment.

[0105] If the integrity index includes the production casing, the computer equipment obtains the casing integrity parameters and casing pressure parameters as the integrity parameters of the production casing.

[0106] Among them, the integrity of the production casing mainly considers the casing integrity, casing wall thickness and casing pressure bearing capacity. Therefore, the casing integrity parameters and casing pressure bearing parameters are used as the integrity parameters of the production casing.

[0107] If the integrity index includes the cement sheath, then the computer equipment obtains the cement return height parameter and cementing quality parameter as the integrity parameters of the cement sheath.

[0108] Among them, the integrity of the cement sheath mainly considers the quality of the cement sheath. The quality of the cement sheath affects the formation sealing effect and the casing's resistance to crushing deformation. The quality of the cement sheath mainly includes cement return height and cementing quality. Therefore, cement return height parameter and cementing quality parameter are used as the integrity parameters of the cement sheath.

[0109] If the integrity index includes the formation, the computer equipment obtains hydrogen sulfide parameters, wellhead injection pressure parameters, and injection pressure safety parameters as formation integrity parameters.

[0110] Formation integrity is primarily determined by considering formation fluids and pressure. Formation fluids mainly consider their composition and phase, i.e., whether the fluid is liquid or gas, whether it is corrosive, and whether it contains toxic or harmful gases. For water injection wells, the formation fluids mainly consist of hydrogen sulfide gas; therefore, hydrogen sulfide parameters are used as formation integrity parameters.

[0111] For water injection wells, the wellhead injection pressure is closely related to reservoir properties and formation conditions such as oil-water well connectivity. Long-term high-pressure water injection can affect the integrity of the casing string, downhole tools, and wellhead equipment. Therefore, water injection development in oilfields should maintain an injection-production balance, establish an effective pressure displacement system, and strictly prohibit water injection exceeding the pressure required to fracture the oil layer, in order to ensure the safety of water injection. Therefore, wellhead injection pressure parameters and safe injection pressure parameters are considered as parameters for the integrity of the bottom layer.

[0112] If the integrity index includes the tubing, the computer equipment obtains the tubing integrity parameters as the tubing integrity parameters.

[0113] In general, water injection wells should be equipped with casing packers for water injection, and the use of production casing for water injection is prohibited. Therefore, for water injection wells with casing packers, if there is damage or leakage in the tubing above the packer setting position, it will inevitably cause pressure in the annulus during the water injection process. This is especially true for water injection wells with casing leaks where packers are used to seal the leaks, further increasing the risk of wellbore integrity failure. Therefore, tubing integrity parameters are used as tubing integrity parameters.

[0114] If the integrity metrics include the packer, the computer equipment obtains the packer functional integrity parameters as the packer integrity parameters.

[0115] Among them, the impact of packers on the integrity of oil and gas wells is mainly reflected in their function. When a packer experiences sealing problems, it can be considered a functional failure, and the integrity of the well is compromised. Therefore, the functional integrity parameter of the packer is used as the integrity parameter of the packer.

[0116] Step 104: The computer equipment determines the first risk level score and the second weight value of at least one integrity parameter for each integrity indicator based on at least one integrity parameter for each integrity indicator.

[0117] This step can be achieved through the following steps (1)-(3):

[0118] (1) For each integrity indicator, the computer device obtains the second scaling information of each integrity parameter of the integrity indicator, as well as the integrity information and first relation data of each integrity parameter. The first relation data is used to represent the relationship between the risk level score and the integrity information.

[0119] The second scaling information for each integrity parameter includes the second importance scale for each integrity parameter.

[0120] Degree. This step can be achieved through the following steps A1-A2:

[0121] A1: The second importance scale for computer devices to acquire each integrity parameter.

[0122] Referring again to Table 1, the second importance scale for each integrity parameter is the ratio of the importance level of that integrity parameter to its corresponding integrity indicator to the quantitative ratio of the importance level of each integrity parameter to that integrity indicator.

[0123] For each integrity parameter, the second importance scale of the integrity parameter includes at least one second scale value, which is a quantized ratio of the importance level of the integrity parameter to the importance level of each integrity parameter.

[0124] If the integrity index includes the wellhead equipment, and the integrity parameters of the wellhead equipment include the sealing parameters of the Christmas tree, then the second importance scale of the sealing parameters of the Christmas tree includes one second scale value, which is the quantitative ratio of the importance level of the sealing parameters of the Christmas tree to the wellhead equipment to the importance level of the sealing parameters of the Christmas tree to the wellhead equipment, and is 1.

[0125] If the integrity index includes the production casing, the integrity parameters of the production casing include the casing integrity parameter and the casing pressure bearing parameter. The second importance scales of the casing integrity parameter and the casing pressure bearing parameter are shown in Table 4, and can be obtained from the well data of the wellbore.

[0126] The two second-scale values ​​of the casing integrity parameter are 1 and 1 / 5, respectively, representing the ratio of the importance level of the casing integrity parameter to the production casing to the importance level of the casing integrity parameter to the production casing, and the ratio of the importance level of the casing integrity parameter to the importance level of the production casing to the importance level of the casing pressure bearing parameter to the production casing. The two second-scale values ​​of the casing pressure bearing parameter are 5 and 1, respectively, representing the ratio of the importance level of the casing pressure bearing parameter to the production casing to the importance level of the casing integrity parameter to the production casing.

[0127] Table 4

[0128] Integrity parameters Complete parameters of the casing Casing pressure parameters Complete parameters of the casing 1 5 Casing pressure parameters 1 / 5 1

[0129] If the integrity index includes cement sheath, then the integrity parameters of cement sheath include cement return height parameter and cement quality parameter. The second importance scale of cement return height parameter and cement quality parameter are shown in Table 5, which can be obtained from the well data of the wellbore.

[0130] The two second-scale values ​​for the cement return height parameter are: the quantitative ratio of the importance level of the cement return height parameter to the cementing sheath to the overall importance level of the cementing sheath; and the quantitative ratio of the importance level of the cement return height parameter to the overall importance level of the cementing sheath to the overall importance level of the cementing quality parameter, which are 1 and 1 / 3, respectively. The two second-scale values ​​for the cementing quality parameter are: the quantitative ratio of the importance level of the cementing quality parameter to the overall importance level of the cementing sheath to the overall importance level of the cementing sheath; and the quantitative ratio of the importance level of the cementing quality parameter to the overall importance level of the cementing sheath to the overall importance level of the cementing quality parameter, which are 3 and 1, respectively.

[0131] Table 5

[0132] Integrity parameters Cement return parameters Cementing quality parameters Cement return parameters 1 3 Cementing quality parameters 1 / 3 1

[0133] If the integrity index includes the formation, then the formation integrity parameters include hydrogen sulfide parameters, wellhead injection pressure parameters, and injection pressure safety parameters. The second importance scales of hydrogen sulfide parameters, wellhead injection pressure parameters, and injection pressure safety parameters are shown in Table 6 and can be obtained from the well data in the wellbore.

[0134] The three second-scale values ​​for the hydrogen sulfide parameter are: the quantitative ratio of the importance level of the hydrogen sulfide parameter to the formation to the quantitative ratio of the importance level of the hydrogen sulfide parameter to the formation to the quantitative ratio of the importance level of the wellhead injection pressure ... formation to the quantitative ratio of the importance level of the wellhead injection pressure parameter to the formation to the quantitative ratio of the importance level of the wellhead injection pressure parameter to the formation to the quantitative ratio of the importance level of the formation to the quantitative ratio of the importance level of the wellhead injection pressure parameter to the formation to the quantitative ratio of the importance level of the formation to the quantitative ratio of the importance level of the wellhead injection pressure parameter to the formation to the quantitative ratio of the importance level of the formation to the quantitative ratio of the importance level of the wellhead injection pressure parameter to the formation to the quantitative The three second-scale values ​​of the water injection pressure safety parameter are the quantitative ratio of the importance level of the water injection pressure safety parameter to the formation to the importance level of the hydrogen sulfide parameter to the formation, the quantitative ratio of the importance level of the water injection pressure safety parameter to the formation to the importance level of the wellhead water injection pressure parameter to the formation, and the quantitative ratio of the importance level of the water injection pressure safety parameter to the formation to the importance level of the formation, which are 1 / 3, 1 / 3 and 1, respectively.

[0135] Table 6

[0136]

[0137]

[0138] If the integrity index includes the tubing, then the tubing integrity parameter includes the tubing integrity parameter. The second importance scale of the tubing integrity parameter includes a second scale value, which is the quantitative ratio of the importance level of the tubing integrity parameter to the importance level of the tubing, and is 1.

[0139] If the integrity index includes the packer, then the packer integrity parameters include the packer functional integrity parameters. The second importance scale of the packer functional integrity parameters includes a second scale value, which is the quantitative ratio of the importance level of the packer functional integrity parameters to the packer to the importance level of the packer functional integrity parameters to the packer, and is 1.

[0140] A2: The computer device acquires the integrity information and first relation data for each integrity parameter.

[0141] If the integrity index includes wellhead equipment, then the integrity parameters of the wellhead equipment include the sealing parameters of the Christmas tree. The computer equipment obtains the sealing information of the Christmas tree as the integrity information of the sealing parameters of the Christmas tree.

[0142] Among them, the sealing information of the wellhead indicates the usage time of the wellhead.

[0143] Since the sealing performance of the wellhead equipment's Christmas tree is affected by many factors such as corrosion and the degree of maintenance, it is difficult to make a quantitative evaluation. Therefore, based on the actual field usage, the usage time of the Christmas tree is used as the sealing information of the Christmas tree, that is, as the integrity information of the sealing parameters of the Christmas tree.

[0144] See Table 7, which contains the first relational data of the sealing parameters of the wellhead. Its first risk level score is represented as V_A1, which can be obtained from the well data in the wellbore.

[0145] Table 7

[0146]

[0147] If the integrity index includes the production casing, then the integrity parameters of the production casing include the casing integrity parameters and the casing pressure bearing parameters. The computer equipment obtains the integrity information and pressure bearing information of the production casing as the integrity information of the casing integrity parameters and the casing pressure bearing parameters, respectively.

[0148] Among them, the integrity information of the production casing includes the degree of casing damage and the location of the damage, and the pressure information includes the pressure risk coefficient of the casing.

[0149] Among them, the casing integrity parameters mainly evaluate the leakage, misalignment and other casing damage of the production casing above the cement return height in the wellbore, as well as whether effective repair measures have been implemented. Therefore, the degree of casing damage and the location of the damage are regarded as the integrity information of the production casing, that is, as the integrity information of the casing integrity parameters.

[0150] Among them, the casing pressure bearing parameters mainly consider the corrosion efficiency of the metal and the impact of production time on the internal pressure. Therefore, the casing pressure bearing risk coefficient is used as the pressure bearing information of the production casing, that is, as the complete information of the casing pressure bearing parameters. The casing pressure bearing risk coefficient mainly considers the impact of the corrosion rate of the metal and the impact of production time on the internal pressure strength. The casing pressure bearing risk coefficient is calculated by the following formula.

[0151] Formula 1:

[0152] Remaining internal pressure resistance P of the casing bo The result is obtained through the following formula two:

[0153] Formula 2:

[0154] Where δ0 is the nominal wall thickness of the casing, in mm; T is the service life of the casing, in years; ν is the corrosion rate, in mm / a; Y p D represents the yield strength of the pipe, in MPa. C The outer diameter of the sleeve is in mm.

[0155] Among them, the wellhead water injection pressure, nominal casing wall thickness, casing service time, corrosion rate, pipe yield strength and casing outer diameter can all be obtained from the well data of the wellbore.

[0156] See Table 8, which contains the first relational data of the casing integrity parameters. Its first risk level score is represented as V_B1, which can be obtained from the well data of the wellbore.

[0157] Table 8

[0158]

[0159] See Table 9, which contains the first relational data of casing pressure parameters. Its first risk level score is represented as V_B2, which can be obtained from the well data of the wellbore.

[0160] Table 9

[0161]

[0162] If the integrity index includes cement sheath, then the integrity parameters of the cement sheath include cement return height parameters and cementing quality parameters. The computer equipment obtains the location information and quality information of the cement return height of the cement sheath as the integrity information of the cement return height parameters and cementing quality parameters, respectively.

[0163] Among them, the cement return height information of the cement sheath is the location of the cement return height, and the cement sheath quality information is the length of the cement sheath with medium or better continuous bonding at the second interface of the production casing above the top boundary of the water injection layer.

[0164] Among them, the cement return height position must meet the requirements of the "Technical Requirements for the Transformation of Development Mode of Production Wells (Trial)" of the Exploration and Production Branch: the cement for cementing the production casing should return to the upper casing or more than 200m above the top boundary of the water injection target layer. Therefore, the cement return height position is used as the cement return height position information, that is, as the integrity information of the cement return height parameter.

[0165] The quality of cementing affects the formation sealing effect and the casing's resistance to crushing deformation. Before injection, cementing quality is evaluated. For example, the length of a continuously bonded cement sheath of medium to high quality at the production casing cementing quality above the top of the water injection zone should be no less than 25m. For multi-layered oil and gas reservoirs, the cementing quality of the production intervals and interlayer spaces should reach medium or higher. Therefore, the "length of a continuously bonded cement sheath of medium to high quality at the second interface of the production casing above the top of the water injection zone" is used as the cement sheath quality information, i.e., the completeness information of the cementing quality parameters.

[0166] See Table 10, which shows the first relationship data of cement return parameters. Its first risk level score is represented by V_C1, which can be obtained from the well data of the wellbore.

[0167] Table 10

[0168]

[0169]

[0170] See Table 11, which contains the first relational data of cementing quality parameters. Its first risk level score is represented as V_C2, which can be obtained from the well data in the wellbore.

[0171] Table 11

[0172]

[0173] If the integrity index includes the formation, then the formation integrity parameters include hydrogen sulfide parameters, wellhead injection pressure parameters, and injection pressure safety parameters. The computer equipment obtains hydrogen sulfide content information, wellhead pressure information, and injection pressure safety factor information as the integrity information of hydrogen sulfide parameters, wellhead injection pressure parameters, and injection pressure safety parameters, respectively.

[0174] Among them, the hydrogen sulfide content information is the hydrogen sulfide content measured at the wellhead gate outlet when the tubing or casing is vented; the wellhead pressure information is the wellhead pressure during normal water injection; and the water injection pressure safety factor information is the water injection pressure safety factor.

[0175] For water injection wells, the hydrogen sulfide parameter mainly considers the hydrogen sulfide content measured at the wellhead gate outlet when the tubing or casing is vented during the shutdown state. Therefore, the hydrogen sulfide content measured at the wellhead gate outlet during tubing or casing venting is used as the hydrogen sulfide content information, i.e., as the completeness information of the hydrogen sulfide parameter.

[0176] The water injection pressure safety factor mainly considers the bottom water injection pressure and formation fracturing pressure of the wellbore. The water injection pressure safety factor is the ratio of the bottom water injection pressure to the formation fracturing pressure.

[0177] The water injection pressure safety factor can be calculated using the following formula:

[0178] Formula 3:

[0179] Where S is the safety factor for water injection pressure; P f P is the formation fracture pressure, in MPa; P is the wellhead water injection pressure, in MPa; P W P is the bottom water injection pressure, expressed in MPa. h The pressure of the injected water column is expressed in MPa; h f The frictional resistance along the injection line is expressed in MPa (negligible); H represents the intermediate depth of the oil layer, expressed in meters; G... f This represents the formation fracture pressure gradient, expressed in MPa / m.

[0180] Among them, the wellhead water injection pressure, water injection fluid column pressure, water injection friction along the injection path, and pressure gradient of the oil layer and formation fracture can all be obtained directly from the well data in the wellbore.

[0181] See Table 12, which shows the first relationship data for hydrogen sulfide parameters. Its first risk level score is represented as V_D1, which can be obtained from the well data in the wellbore.

[0182] Table 12

[0183]

[0184] See Table 13, which shows the first relationship data of wellhead water injection pressure parameters. Its first risk level score is represented by V_D2, which can be obtained from the well data of the wellbore.

[0185] Table 13

[0186]

[0187] See Table 14, which contains the first relational data of water injection pressure safety parameters. Its first risk level score is represented as V_D3, which can be obtained from the well data of the wellbore.

[0188] Table 14

[0189]

[0190]

[0191] If the integrity index includes the tubing, then the tubing integrity parameters include the tubing integrity parameters, and the computer equipment obtains the tubing integrity information as the tubing integrity information.

[0192] The tubing integrity information is defined as the inspection cycle. Water injection wells generally require the installation of a casing-protected packer, prohibiting the use of production casing for water injection. Therefore, for water injection wells with casing-protected packers, if the tubing above the packer setting position is damaged or leaked during water injection, it will inevitably cause pressure in the annulus, especially for wells using packers for sealing, further increasing the risk of well integrity failure. Therefore, it is necessary to conduct tubing inspections to check for damage or leakage during water injection. Thus, the inspection cycle is considered part of the tubing integrity information.

[0193] See Table 15, which contains the first relational data of complete tubing parameters. Its first risk level score is represented as V_E1, which can be obtained from the well data of the wellbore.

[0194] Table 15

[0195]

[0196] If the integrity index includes the packer, then the packer's integrity parameters include the packer's functional integrity parameters. The sealing information of the packer is obtained as the integrity information of the packer's functional integrity parameters.

[0197] Among them, the sealing information of the packer refers to the sealing failure status of the packer.

[0198] In wells with leakage in the oil layer casing, a packer-based leak-proofing technique is used. If the packer seal fails, there is a risk of wellhead overflow. In water injection wells, a packer-based oil layer casing protection technique is used. If the packer seal fails, the oil layer casing loses its protective function. Therefore, packer failure is considered as packer sealing information, i.e., as integrity information for the packer's functional integrity parameters.

[0199] The sealing performance of a packer can be determined through on-site monitoring. The most direct indicator is abnormal pressure in the annulus, which can be used to characterize packer failure. Wells with separate oil and casing injection systems are classified as water injection wells without casing packers.

[0200] See Table 16, which contains the first relational data of packer functional integrity parameters. Its first risk level score is represented as V_F1, which can be obtained from the well data of the wellbore.

[0201] Table 16

[0202]

[0203] See Table 17, which is the evaluation system for integrity indicators, including at least one integrity parameter for each integrity indicator and integrity information for each integrity parameter.

[0204] Table 17

[0205]

[0206]

[0207] In this embodiment, step A1 can be executed before step A2, step A2 can be executed before step A1, or steps A1 and A2 can be executed simultaneously. In this embodiment, no specific limitation is made.

[0208] (2) For each integrity parameter, the computer device determines the first risk level score corresponding to the integrity parameter based on the integrity information of the integrity parameter and the first relationship data.

[0209] Refer to Tables 7-16 to compare the integrity information of each integrity parameter with the first relationship data, and determine the first risk level score corresponding to the integrity parameter from the first relationship data.

[0210] Taking well D36-51 as an example, the integrity indicators include wellhead equipment, production casing, cement sheath, formation, tubing and packer. The integrity information of the integrity parameters of each integrity indicator is shown in Table 18. By comparing the integrity information of each integrity parameter with the first relationship data, the first risk level score corresponding to the integrity parameter is determined from the first relationship data.

[0211] Table 18

[0212]

[0213] Specifically, the integrity information of each integrity parameter is compared with the first relationship data, and the first risk level score corresponding to the integrity parameter is obtained from the first relationship data. See Table 19, which shows the first risk level score for each integrity parameter.

[0214] Table 19

[0215] V_A1 V_B1 V_B2 V_C1 V_C2 V_D1 V_D2 V_D3 V_E1 V_F1 1.0 0.4 0.6 0.75 0.33 0.2 0.25 0.25 1.0 1.0

[0216] (3) The computer device determines the second weight value of each integrity parameter based on the second scaling information of each integrity parameter.

[0217] The second scaling information for each integrity parameter includes a second importance scaling for each integrity parameter.

[0218] This step can be achieved through the following steps A1-A2:

[0219] A1: The computer device uses the second importance scale of each integrity parameter to form a second judgment matrix.

[0220] The second judgment matrix includes the second importance scale of the integrity parameters corresponding to the same integrity index.

[0221] For each integrity parameter, the second importance scale of the integrity parameter includes at least one second scale value, which is a quantized ratio of the importance level of the integrity parameter to the importance level of each integrity parameter.

[0222] If the integrity index includes the wellhead device, then the integrity parameters of the wellhead device include the sealing parameters of the production tree. The second scale value of the sealing parameters of the production tree is 1. The matrix of 1 row and 1 column formed by the second scale value is used as the second judgment matrix of the wellhead device. Then the second judgment matrix of the wellhead device is [1].

[0223] If the integrity index includes the production casing, then the integrity parameters of the production casing include the casing integrity parameters and the casing pressure bearing parameters. Then, refer to the second importance scale of the casing integrity parameters and the casing pressure bearing parameters in Table 4 to form the second judgment matrix of the production casing.

[0224] The casing integrity parameters include casing integrity parameters and casing pressure bearing parameters. Each integrity parameter includes two second-scale values, which are combined into a 2x2 matrix. Each column of this matrix contains the two second-scale values ​​of the casing integrity parameter and the casing pressure bearing parameter. The first column contains the two second-scale values ​​of the casing integrity parameter (1 and 1 / 5). The second column contains the two second-scale values ​​of the casing pressure bearing parameter (5 and 1). This matrix serves as the second judgment matrix for cementing sheaths.

[0225] The second judgment matrix for producing casing is:

[0226]

[0227] If the integrity index includes cement sheath, then the integrity parameters of cement sheath include cement return height parameters and cement quality parameters. Then, refer to the second importance scale of cement return height parameters and cement quality parameters in Table 5 to form the second judgment matrix of cement sheath.

[0228] The integrity parameters of the cement sheath include cement return height parameters and cementing quality parameters. Each integrity parameter includes two second-scale values, which are combined into a 2x2 matrix. Each column of this matrix contains the two second-scale values ​​of the cement return height parameter and the cementing quality parameter, respectively. The first column contains the two second-scale values ​​of the cement return height parameter (1 and 1 / 3), and the second column contains the two second-scale values ​​of the cementing quality parameter (3 and 1). This matrix serves as the second judgment matrix for the cement sheath.

[0229] The second judgment matrix for cement sheath cementing is:

[0230]

[0231] If the integrity index includes the formation, then the formation integrity parameters include the hydrogen sulfide parameter, the wellhead injection pressure parameter, and the injection pressure safety parameter. Then, refer to the second importance scale of the hydrogen sulfide parameter, the wellhead injection pressure parameter, and the injection pressure safety parameter in Table 6 to form the second judgment matrix of the formation.

[0232] The formation integrity parameters include hydrogen sulfide parameters, wellhead injection pressure parameters, and injection pressure safety parameters. Each integrity parameter includes three second-scale values, which are arranged into a 3x3 matrix. Each column of this matrix contains the three second-scale values ​​of the hydrogen sulfide, wellhead injection pressure, and injection pressure safety parameters, respectively. The first column contains the three second-scale values ​​of the hydrogen sulfide parameter (1, 3, 3), the second column contains the three second-scale values ​​of the wellhead injection pressure parameter (1, 3, 3), and the third column contains the three second-scale values ​​of the injection pressure safety parameter (1 / 3, 1 / 3, 1). This matrix serves as the second judgment matrix for the formation.

[0233] The second judgment matrix of the strata is:

[0234]

[0235] If the integrity index includes the tubing, then the tubing integrity parameter includes the tubing integrity parameter. The second scale value of the tubing integrity parameter is 1. The 1-row, 1-column matrix formed by the second scale value is used as the second judgment matrix of the tubing. Then the second judgment matrix of the tubing is [1].

[0236] If the integrity index includes the packer, then the integrity parameters of the packer include the packer functional integrity parameters. The second scale value of the packer functional integrity parameters is 1. The matrix of 1 row and 1 column formed by the second scale value is used as the second judgment matrix of the packer. Then the second judgment matrix of the packer is [1].

[0237] A2: The computer equipment normalizes the second judgment matrix to obtain the second weight value of each integrity parameter.

[0238] The computer device normalizes the second judgment matrix to make the sum of the second weight values ​​of each integrity parameter equal to 1.

[0239] The computer equipment normalizes and solves the second judgment matrix of the wellhead device to obtain the second weight value of the sealing parameter of the wellhead device's tree, which is 1 and is represented as W_A1.

[0240] The computer equipment normalizes and solves the second judgment matrix of the production casing to obtain the second weight values ​​of the casing integrity parameters and the casing pressure bearing parameters, as shown in Table 20. The second weight values ​​of the casing integrity parameters and the casing pressure bearing parameters are represented as W_B1 and W_B2, respectively.

[0241] Table 20

[0242] Integrity parameters Complete parameters of the casing Casing pressure parameters Second weight value 0.83 0.17 Symbols W_B1 W_B2

[0243] The computer equipment normalizes and solves the second judgment matrix of the cement sheath to obtain the second weight values ​​of the cement return height parameter and the cementing quality parameter, as shown in Table 21. The second weight values ​​of the cement return height parameter and the cementing quality parameter are represented as W_C1 and W_C2, respectively.

[0244] Table 21

[0245] Integrity parameters Cement return parameters Cementing quality parameters Second weight value 0.75 0.25 Symbols W_C1 W_C2

[0246] The computer equipment normalizes and solves the second judgment matrix of the formation to obtain the second weight values ​​of the hydrogen sulfide parameter, wellhead water injection pressure parameter, and water injection pressure safety parameter, as shown in Table 22. The second weight values ​​of the hydrogen sulfide parameter, wellhead water injection pressure parameter, and water injection pressure safety parameter are represented as W_D1, W_D2, and W_D3, respectively.

[0247] Table 22

[0248] Integrity parameters hydrogen sulfide content Wellhead water injection pressure parameters Water injection pressure safety parameters Second weight value 0.12 0.31 0.57 Symbols W_D1 W_D2 W_D3

[0249] The computer equipment normalizes and solves the second judgment matrix of the oil pipe, and obtains the second weight value of the oil pipe integrity parameter as 1, which is represented as W_E1.

[0250] The computer equipment normalizes and solves the second judgment matrix of the packer to obtain the second weight value of the packer functional integrity parameter, which is 1 and is represented as W_F1.

[0251] Step 105: The computer device determines the second risk level score for each integrity indicator based on the first risk level score and the second weight value of at least one integrity parameter for each integrity indicator.

[0252] Specifically, for each integrity indicator, the computer equipment performs a weighted summation of the first risk level score and the second weight value of at least one integrity parameter of the integrity indicator to obtain the second risk level score of the integrity indicator.

[0253] If the integrity index includes the wellhead equipment, the first risk level score and the second weight value of the sealing parameters of the production tree are weighted and summed to obtain the second risk level score of the wellhead equipment, denoted as Z_A. Then, Z_A = Z_A1 = V_A1 × W_A1.

[0254] If the integrity index includes the production casing, the first risk level score and the second weight value of the casing integrity parameter and the casing pressure bearing parameter are weighted and summed to obtain the second risk level score of the production casing, denoted as Z_B, Z_B=Z_B1+Z_B2=V_B1×W_B1+V_B2×W_B2.

[0255] If the integrity index includes cement sheath, the first risk level score and the second weight value of the cement return height parameter and the cement quality parameter are weighted and summed to obtain the second risk level score of the cement sheath, denoted as Z_C, Z_C=Z_C1+Z_C2=V_C1×W_C1+V_C2×W_C2.

[0256] If the integrity index includes the formation, the first risk level score and the second weight value of the hydrogen sulfide parameter, the wellhead water injection pressure parameter, and the water injection pressure safety parameter are weighted and summed to obtain the second risk level score of the formation, denoted as Z_D, Z_D=Z_D1+Z_D2+Z_D3=V_D1×W_D1+V_D2×W_D2+V_D3×W_D3.

[0257] If the integrity index includes the pipeline, the first risk level score and the second weight value of the pipeline integrity parameter are weighted and summed to obtain the second risk level score of the pipeline, denoted as Z_E, where Z_E = Z_E1 = V_E1 × W_E1.

[0258] If the integrity index includes the packer, the first risk level score and the second weight value of the packer functional integrity parameter are weighted and summed to obtain the second risk level score of the packer, denoted as Z_F, where Z_F = Z_F1 = V_F1 × W_F1.

[0259] Taking well D36-51 as an example, the second risk level score of the wellhead equipment is: Z_A=Z_A1=V_A1×W_A1=1.0×0.167=0.1670.

[0260] The second risk level score for the production casing is: Z_B=Z_B1+Z_B2=V_B1×W_B1+V_B2×W_B2=0.4×0.769+0.6×0.231=0.3076+0.1386=0.4462.

[0261] The second risk level score of the cement sheath is: Z_C=Z_C1+Z_C2=V_C1×W_C1+V_C2×W_C2=0.77×0.521+0.23×0.679=0.4012+0.1562=0.5574.

[0262] The second risk level score of the stratum is: Z_D=Z_D1+Z_D2+Z_D3=V_D1×W_D1+V_D2×W_D2+V_D3×W_D3=0.26×0.263+0.35×0.351+0.39×0.385=0.0684+0.1229+0.1502=0.3415.

[0263] The second risk level score for the pipeline is: Z_E = Z_E1 = V_E1 × W_E1 = 1.0 × 0.078 = 0.0780.

[0264] The second risk level score for the packer is: Z_F = Z_F1 = V_F1 × W_F1 = 0.75 × 0.374 = 0.2805.

[0265] Step 106: The computer equipment determines the integrity parameters of the wellbore based on the second risk level score and the first weight value of each integrity index.

[0266] Among them, the wellbore integrity parameter is used to reflect the integrity status of the wellbore.

[0267] The computer equipment calculates the weighted sum of the second risk level score and the first weight value of each integrity indicator to obtain the integrity parameters of the wellbore.

[0268] If the integrity index includes wellhead equipment, production casing, cementing sheath, formation, tubing, and packer, then the second risk level score and the first weight value of the wellhead equipment, production casing, cementing sheath, formation, tubing, and packer are weighted and summed to obtain the wellbore integrity parameter, which is expressed as H, H = H_A + H_B + H_C + H_D + H_E + H_F = Z_A × W_A + Z_B × W_B + Z_C × W_C + Z_D × W_D + Z_E × W_E + Z_F × W_F.

[0269] Taking well D36-51 as an example, the wellbore integrity parameter H = H_A + H_B + H_C + H_D + H_E + H_F = Z_A×W_A + Z_B×W_B + Z_C×W_C + Z_D×W_D + Z_E×W_E + Z_F×W_F = 1.0×0.167 + 0.4462×0.244 + 0.5574×0.093 + 0.3415×0.044 + 1.0×0.078 + 0.75×0.374 = 0.1670 + 0.1089 + 0.0518 + 0.015 + 0.0780 + 0.2805 = 0.7012.

[0270] Refer to Table 23, which is a wellbore integrity failure risk assessment table. As shown in Table 23, the wellbore integrity failure risk is very low when the integrity parameter is in the range [0, 0.2], low when in the range (0.2, 0.4], medium when in the range (0.4, 0.6], high when in the range (0.6, 0.8], and very high when in the range (0.8, 1.0].

[0271] Table 23

[0272]

[0273] Taking well D36-51 as an example, the wellbore integrity parameter is 0.7012, which is located in the interval (0.6, 0.8]. Therefore, the failure risk assessment level of this well is "high risk".

[0274] See Table 24, which includes the meaning of each symbol.

[0275] Table 24

[0276]

[0277]

[0278]

[0279] This application provides a method for determining wellbore integrity parameters. This method determines wellbore integrity parameters by using the second risk level score and first weight value of multiple integrity indicators from the wellhead equipment, production casing, cement sheath, formation, tubing, and packer. This achieves a quantitative characterization of wellbore integrity, and the integrity parameters comprehensively reflect the wellbore's integrity status, thereby improving the accuracy of the determined wellbore integrity status.

[0280] This application provides a device for determining the integrity parameters of a wellbore, see [link to relevant documentation]. Figure 2 The device includes:

[0281] The first acquisition module 201 is used to acquire first scale information of multiple integrity indicators of the wellbore to be determined. The multiple integrity indicators include multiple components of the wellhead equipment, production casing, cement sheath, formation, tubing and packer.

[0282] The first determining module 202 is used to determine the first weight value of each integrity indicator based on the first scaling information of each integrity indicator.

[0283] The second acquisition module 203 is used to acquire at least one integrity parameter for each integrity indicator.

[0284] The second determining module 204 is used to determine a first risk level score and a second weight value for at least one integrity parameter of each integrity indicator based on at least one integrity parameter of each integrity indicator.

[0285] The third determining module 205 is used to determine the second risk level score of each integrity indicator based on the first risk level score and the second weight value of at least one integrity parameter of each integrity indicator.

[0286] The fourth determination module 206 is used to determine the integrity parameters of the wellbore based on the second risk level score and the first weight value of each integrity index.

[0287] In one possible implementation, the first scaling information for each integrity metric includes the first importance scaling for each integrity metric;

[0288] The first determining module 202 includes:

[0289] The constituent units are used to form the first judgment matrix by taking the first importance scale of each integrity indicator;

[0290] The processing unit is used to normalize the first judgment matrix to obtain the first weight value of each integrity index.

[0291] In one possible implementation, the second determining module 203 includes:

[0292] The acquisition unit is used to acquire, for each integrity indicator, the second scaling information of each integrity parameter of the integrity indicator, and the integrity information and first relationship data of each integrity parameter. The first relationship data is used to represent the relationship between the risk level score and the integrity information.

[0293] The first determining unit is used to determine the first risk level score corresponding to each integrity parameter based on the integrity information of the integrity parameter and the first relationship data.

[0294] The second determining unit is used to determine the second weight value of each integrity parameter based on the second scaling information of each integrity parameter.

[0295] In one possible implementation, the second scaling information for each integrity parameter includes a second importance scaling for each integrity parameter;

[0296] The second determining unit includes:

[0297] The sub-units are used to form a second judgment matrix by combining the second importance scale of each integrity parameter;

[0298] The processing subunit is used to normalize the second judgment matrix to obtain the second weight value of each integrity parameter.

[0299] In one possible implementation, the third determining module 204 includes:

[0300] For each integrity indicator, the first risk level score and the second weight value of at least one integrity parameter of the integrity indicator are weighted and summed to obtain the second risk level score of the integrity indicator.

[0301] In one possible implementation, the acquisition unit includes:

[0302] The first acquisition subunit is used to acquire the sealing information of the wellhead as the integrity information of the sealing parameters of the wellhead if the integrity index includes the wellhead device, and the integrity parameters of the wellhead device include the sealing parameters of the wellhead.

[0303] The second acquisition subunit is used to acquire the integrity information and pressure information of the production casing as the integrity information of the casing integrity parameter and the casing pressure bearing parameter, respectively, if the integrity index includes the production casing.

[0304] The third acquisition subunit is used to acquire the location information and quality information of the cement return height of the cement sheath as the integrity information of the cement return height parameter and the cement quality parameter, respectively, if the integrity index includes the cement sheath.

[0305] The fourth acquisition subunit is used to acquire the formation's hydrogen sulfide content information, wellhead pressure information, and water injection pressure safety factor information as the integrity information of the hydrogen sulfide parameter, wellhead injection pressure parameter, and water injection pressure safety parameter, respectively, if the integrity index includes the formation.

[0306] The fifth acquisition subunit is used to acquire the integrity information of the oil pipe as the integrity information of the oil pipe integrity parameter if the integrity index includes the oil pipe.

[0307] The sixth acquisition subunit is used to acquire the sealing information of the packer as the integrity information of the packer functional integrity parameters if the integrity index includes the packer, and the packer integrity parameters include the packer functional integrity parameters.

[0308] In one possible implementation, the fourth determining module 206 includes:

[0309] The integrity parameters of the wellbore are obtained by weighted summing of the second risk level score and the first weight value of each integrity index.

[0310] Figure 3 This illustration shows a structural block diagram of a computer device 300 provided in an exemplary embodiment of this application. The computer device 300 may be a portable mobile computer device, such as a smartphone, tablet computer, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), laptop computer, or desktop computer. The computer device 300 may also be referred to as a user device, portable computer device, laptop computer device, desktop computer device, or other names.

[0311] Typically, computer device 300 includes a processor 301 and a memory 302.

[0312] Processor 301 may include one or more processing cores, such as a quad-core processor or an octa-core processor. Processor 301 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 301 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 301 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 301 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0313] The memory 302 may include one or more computer-readable storage media, which may be non-transitory. The memory 302 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 302 are used to store at least one instruction, which is executed by the processor 301 to implement the method for determining the integrity parameters of the wellbore provided in the method embodiments of this application.

[0314] In some embodiments, the computer device 300 may optionally include a peripheral device interface 303 and at least one peripheral device. The processor 301, memory 302, and peripheral device interface 303 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 303 via a bus, signal line, or circuit board. Specifically, the peripheral device includes at least one of the following: a radio frequency circuit 304, a display screen 305, a camera assembly 306, an audio circuit 307, a positioning assembly 308, and a power supply 309.

[0315] The peripheral device interface 303 can be used to connect at least one I / O (Input / Output) related peripheral device to the processor 301 and the memory 302. In some embodiments, the processor 301, memory 302, and peripheral device interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, memory 302, and peripheral device interface 303 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0316] The radio frequency (RF) circuit 304 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 304 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 304 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 304 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, etc. The RF circuit 304 can communicate with other computer devices through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 304 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0317] Display screen 305 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When display screen 305 is a touch display screen, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to processor 301 for processing. In this case, display screen 305 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, display screen 305 may be a single screen, disposed on the front panel of computer device 300; in other embodiments, display screen 305 may be at least two screens, disposed on different surfaces of computer device 300 or in a folded design; in other embodiments, display screen 305 may be a flexible display screen, disposed on a curved or folded surface of computer device 300. Furthermore, display screen 305 may be configured as a non-rectangular, irregular shape, i.e., a non-rectangular screen. Display screen 305 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).

[0318] The camera assembly 306 is used to acquire images or videos. Optionally, the camera assembly 306 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is located on the front panel of the computer device, and the rear-facing camera is located on the back of the computer device. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, a wide-angle camera, and a telephoto camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, panoramic shooting by fusion of the main camera and the wide-angle camera, VR (Virtual Reality) shooting, or other fusion shooting functions. In some embodiments, the camera assembly 306 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash is a combination of a warm-light flash and a cool-light flash, which can be used for light compensation at different color temperatures.

[0319] The audio circuit 307 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, converting the sound waves into electrical signals that are input to the processor 301 for processing, or input to the radio frequency circuit 304 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each located in a different part of the computer device 300. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert electrical signals from the processor 301 or the radio frequency circuit 304 into sound waves. The speaker may be a conventional diaphragm speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, the audio circuit 307 may also include a headphone jack.

[0320] The positioning component 308 is used to locate the current geographical location of the computer device 300 in order to enable navigation or LBS (Location Based Service). The positioning component 308 can be a positioning component based on the US GPS (Global Positioning System), China's BeiDou system, or Russia's Galileo system.

[0321] Power supply 309 is used to supply power to various components in computer device 300. Power supply 309 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When power supply 309 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 that is charged via a wired line, while a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0322] In some embodiments, the computer device 300 further includes one or more sensors 310. The one or more sensors 310 include, but are not limited to: an accelerometer 311, a gyroscope 312, a pressure sensor 313, a fingerprint sensor 314, an optical sensor 315, and a proximity sensor 316.

[0323] Accelerometer 311 can detect the magnitude of acceleration along the three coordinate axes of a coordinate system established by computer device 300. For example, accelerometer 311 can be used to detect the components of gravitational acceleration along the three coordinate axes. Processor 301 can control display screen 305 to display the user interface in either a landscape or portrait view based on the gravitational acceleration signal acquired by accelerometer 311. Accelerometer 311 can also be used for games or for acquiring user motion data.

[0324] The gyroscope sensor 312 can detect the orientation and rotation angle of the computer device 300. The gyroscope sensor 312, in conjunction with the accelerometer sensor 311, can collect 3D motion data from the user on the computer device 300. Based on the data collected by the gyroscope sensor 312, the processor 301 can perform the following functions: motion sensing (e.g., changing the UI based on the user's tilt), image stabilization during shooting, game control, and inertial navigation.

[0325] The pressure sensor 313 can be disposed on the side bezel of the computer device 300 and / or on the lower layer of the display screen 305. When the pressure sensor 313 is disposed on the side bezel of the computer device 300, it can detect the user's grip signal on the computer device 300, and the processor 301 can perform left / right hand recognition or quick operation based on the grip signal collected by the pressure sensor 313. When the pressure sensor 313 is disposed on the lower layer of the display screen 305, the processor 301 can control the operable controls on the UI interface based on the user's pressure operation on the display screen 305. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0326] The fingerprint sensor 314 is used to collect a user's fingerprint. The processor 301 identifies the user based on the fingerprint collected by the fingerprint sensor 314, or vice versa. When the user's identity is verified as trusted, the processor 301 authorizes the user to perform relevant sensitive operations, including unlocking the screen, viewing encrypted information, downloading software, making payments, and changing settings. The fingerprint sensor 314 can be located on the front, back, or side of the computer device 300. When the computer device 300 has physical buttons or a manufacturer's logo, the fingerprint sensor 314 can be integrated with the physical buttons or the manufacturer's logo.

[0327] An optical sensor 315 is used to collect ambient light intensity. In one embodiment, the processor 301 can control the display brightness of the display screen 305 based on the ambient light intensity collected by the optical sensor 315. Specifically, when the ambient light intensity is high, the display brightness of the display screen 305 is increased; when the ambient light intensity is low, the display brightness of the display screen 305 is decreased. In another embodiment, the processor 301 can also dynamically adjust the shooting parameters of the camera assembly 306 based on the ambient light intensity collected by the optical sensor 315.

[0328] The proximity sensor 316, also known as a distance sensor, is typically located on the front panel of the computer device 300. The proximity sensor 316 is used to detect the distance between the user and the front of the computer device 300. In one embodiment, when the proximity sensor 316 detects that the distance between the user and the front of the computer device 300 is gradually decreasing, the processor 301 controls the display screen 305 to switch from a screen-on state to a screen-off state; when the proximity sensor 316 detects that the distance between the user and the front of the computer device 300 is gradually increasing, the processor 301 controls the display screen 305 to switch from a screen-off state to a screen-on state.

[0329] Those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the computer device 300, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0330] This application provides a computer-readable storage medium storing at least one piece of program code, which is loaded and executed by a processor to implement the steps in the method for determining the integrity parameters of the wellbore as described in any of the above implementations.

[0331] This application provides a computer program product or computer program, which includes computer program code stored in a computer-readable storage medium. A processor of a computer device reads the computer program code from the computer-readable storage medium and executes the computer program code, causing the computer device to perform the operations described above in the method for determining the integrity parameters of the wellbore.

[0332] In some embodiments, the computer program involved in the present application embodiments may be deployed and executed on a computer device, or executed on multiple computer devices located in one location, or executed on multiple computer devices distributed in multiple locations and interconnected through a communication network. Multiple computer devices distributed in multiple locations and interconnected through a communication network may constitute a blockchain system.

[0333] This application provides a method for determining wellbore integrity parameters. This method determines wellbore integrity parameters by using the second risk level score and first weight value of multiple integrity indicators from the wellhead equipment, production casing, cement sheath, formation, tubing, and packer. This achieves a quantitative characterization of wellbore integrity, and the integrity parameters comprehensively reflect the wellbore's integrity status, thereby improving the accuracy of the determined wellbore integrity status.

[0334] The above description is merely an optional embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for determining the integrity parameters of a wellbore, characterized in that, The method includes: First scaling information of multiple integrity indicators of the wellbore to be determined in the water injection well is obtained, the multiple integrity indicators including multiple of the wellhead equipment, production casing, cement sheath, formation, tubing and packer; Based on the first scale information of each integrity index, a first weight value for each integrity index is determined. The first scale information of each integrity index includes a first importance scale of the integrity index. The first importance scale is the quantitative ratio of the importance level of the integrity index to the integrity parameters of the wellbore to the importance level of each integrity index to the integrity parameters of the wellbore. The first importance scale of each integrity index includes multiple first scale values, which are the quantitative ratios of the importance level of the integrity index to the importance level of each integrity index. For each integrity metric, obtain at least one integrity parameter of the integrity metric; For each completeness indicator, the second scale information of each completeness parameter of the completeness indicator is obtained, as well as the completeness information and first relationship data of each completeness parameter are obtained. The first relationship data is used to represent the relationship between the risk level score and the completeness information. The second scale information of each completeness parameter includes the second importance scale of each completeness parameter. The second importance scale is the quantitative ratio of the importance level of the completeness parameter to the corresponding completeness indicator to the importance level of each completeness parameter to the completeness indicator. The second importance scale of each completeness parameter includes at least one second scale value. The at least one second scale value is the quantitative ratio of the importance level of the completeness parameter to the importance level of each completeness parameter. For each integrity parameter, based on the integrity information of the integrity parameter and the first relationship data, a first risk level score corresponding to the integrity parameter is determined; Based on the second scaling information of each integrity parameter, a second weight value for each integrity parameter is determined. The second risk level score of each integrity indicator is determined based on the first risk level score and the second weight value of at least one integrity parameter of each integrity indicator. The integrity parameters of the wellbore are determined based on the second risk level score and the first weight value of each integrity index, respectively. The step of determining the first weight value of each integrity indicator based on the first scale information of each integrity indicator includes: forming a first judgment matrix by taking the first importance scale of each integrity indicator; and normalizing the first judgment matrix to obtain the first weight value of each integrity indicator. The step of determining the second weight value of each integrity parameter based on the second scale information of each integrity parameter includes: forming a second judgment matrix from the second importance scale of each integrity parameter; and normalizing the second judgment matrix to obtain the second weight value of each integrity parameter.

2. The method for determining the integrity parameters of a wellbore according to claim 1, characterized in that, The step of determining the second risk level score for each integrity indicator based on a first risk level score and a second weight value for at least one integrity parameter of each integrity indicator includes: For each integrity indicator, the first risk level score and the second weight value of at least one integrity parameter of the integrity indicator are weighted and summed to obtain the second risk level score of the integrity indicator.

3. The method for determining the integrity parameters of a wellbore according to claim 1, characterized in that, The process of obtaining integrity information for each integrity parameter includes: If the integrity index includes wellhead equipment, then the integrity parameters of the wellhead equipment include the sealing parameters of the wellhead tree, and the sealing information of the wellhead tree is obtained as the integrity information of the sealing parameters of the wellhead tree. If the integrity index includes the production casing, then the integrity parameters of the production casing include the casing integrity parameters and the casing pressure bearing parameters. The integrity information and pressure bearing information of the production casing are obtained as the integrity information of the casing integrity parameters and the casing pressure bearing parameters, respectively. If the integrity index includes cement sheath, then the integrity parameters of the cement sheath include cement return height parameters and cementing quality parameters. The location information and quality information of the cement return height of the cement sheath are obtained as the integrity information of the cement return height parameters and the cementing quality parameters, respectively. If the integrity index includes the formation, then the integrity parameters of the formation include hydrogen sulfide parameters, wellhead injection pressure parameters, and injection pressure safety parameters. The hydrogen sulfide content information, wellhead pressure information, and injection pressure safety factor information of the formation are obtained as the integrity information of the hydrogen sulfide parameters, the wellhead injection pressure parameters, and the injection pressure safety parameters, respectively. If the integrity index includes a tubing, then the integrity parameter of the tubing includes the tubing integrity parameter, and the tubing integrity information is obtained as the integrity information of the tubing integrity parameter; If the integrity index includes a packer, then the integrity parameters of the packer include packer functional integrity parameters, and the sealing information of the packer is obtained as the integrity information of the packer functional integrity parameters.

4. The method for determining the integrity parameters of a wellbore according to claim 1, characterized in that, The determination of the wellbore integrity parameters based on the second risk level score and the first weight value of each integrity index includes: The integrity parameters of the wellbore are obtained by weighted summing of the second risk level score and the first weight value of each integrity index.

5. A device for determining the integrity parameters of a wellbore, characterized in that, The device includes: The first acquisition module is used to acquire first scale information of multiple integrity indicators of the wellbore to be determined in the water injection well. The multiple integrity indicators include multiple components of the wellhead device, production casing, cement sheath, formation, tubing and packer. The first determining module is used to determine the first weight value of each integrity index based on the first scaling information of each integrity index. The first scaling information of each integrity index includes the first importance scaling of the integrity index. The first importance scaling is the quantitative ratio of the importance level of the integrity index to the integrity parameters of the wellbore to the importance level of each integrity index to the integrity parameters of the wellbore. The first importance scaling of each integrity index includes multiple first scaling values, which are the quantitative ratios of the importance level of the integrity index to the importance level of each integrity index. The second acquisition module is used to acquire at least one integrity parameter of each integrity indicator. The second determining module is configured to, for each completeness indicator, acquire second scaling information of each completeness parameter of the completeness indicator, and acquire completeness information and first relationship data of each completeness parameter. The first relationship data is used to represent the relationship between the risk level score and the completeness information. The second scaling information of each completeness parameter includes a second importance scaling of each completeness parameter. The second importance scaling is a quantified ratio of the importance level of the completeness parameter to its corresponding completeness indicator to the importance level of each completeness parameter to the completeness indicator. The second importance scaling of each completeness parameter includes at least one second scaling value, which is a quantified ratio of the importance level of the completeness parameter to the importance level of each completeness parameter. For each completeness parameter, based on the completeness information of the completeness parameter and the first relationship data, a first risk level score corresponding to the completeness parameter is determined. A second weight value of each completeness parameter is determined based on the second scaling information of each completeness parameter. The third determining module is used to determine the second risk level score of each integrity indicator based on the first risk level score and the second weight value of at least one integrity parameter of each integrity indicator. The fourth determining module is used to determine the integrity parameters of the wellbore based on the second risk level score and the first weight value of each integrity index, respectively. The first determining module is configured to: form a first judgment matrix by taking the first importance scale of each integrity indicator; and perform normalization processing on the first judgment matrix to obtain the first weight value of each integrity indicator. The second determining module is configured to: form a second judgment matrix by combining the second importance scale of each integrity parameter; and normalize the second judgment matrix to obtain the second weight value of each integrity parameter.

6. A computer device, characterized in that, The computer device includes one or more processors and one or more memories, the one or more memories storing at least one instruction, the at least one instruction being loaded and executed by the one or more processors to perform the operation performed by the method for determining the integrity parameters of the wellbore as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The storage medium stores at least one instruction, which is loaded and executed by a processor to perform the operation performed by the method for determining the integrity parameters of the wellbore as described in any one of claims 1 to 4.

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