Oil and gas well tubular column safety analysis method and device based on logging big data

Abstract

The invention relates to the technical field of oil well pipe safety evaluation, in particular to an oil and gas well pipe column safety analysis method and device based on logging big data. The method comprises the steps that oil and gas well pipe column logging big data are obtained, wherein the oil and gas well pipe column logging big data comprise logging inner diameter big data, logging well wall thickness big data and pipe body length of each pipe body in an oil and gas well pipe column; based on the logging inner diameter big data, the logging wall thickness big data and the length of each pipe body in the oil and gas well pipe column, a pipe column strength curve is obtained; and analyzing the safety of the oil-gas well tubular column based on the tubular column strength curve. According to the method, a series of inner diameter-wall thickness data pairs are constructed according to the logging inner diameter big data and the logging wall thickness big data, each pair of inner diameter and wall thickness data used for calculating the strength of the pipe column is close to the same section of the pipe body as much as possible, the calculation accuracy of the strength of the pipe column is improved, and the correctness and reliability of safety evaluation of the pipe column are enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil well pipe safety evaluation, and particularly relates to an oil and gas well pipe string safety analysis method and device based on logging big data. BACKGROUND

[0002] In the oil industry, oil pipes or casings are connected by coupling threads to form an oil and gas well pipe string or casing string extending from the wellhead to the well bottom. The coupling is relatively short compared to the oil pipe or casing, but has a relatively large wall thickness. To ensure the safe service of the oil and gas well pipe string, logging of the oil and gas well pipe string is required, and safety evaluation, i.e. strength calculation and analysis, is also required. During logging, measurements are taken at small equal intervals along the pipe body axis, and a large amount of measurement data is obtained for the pipe body between each two couplings. Strength calculation is mainly based on the pipe body diameter and wall thickness parameters, and the strength calculation formula requires that the diameter and wall thickness data used should belong to the same section of the pipe body. Currently, the commonly used logging method for oil and gas well pipe strings is to measure the pipe string inner diameter using a multi-arm caliper and to measure the pipe string wall thickness using electromagnetic flaw detection. After obtaining the inner diameter and wall thickness big data of the pipe string, strength calculation and safety checking of the pipe string are performed. Chinese patent CN 119807629 A discloses a well depth data correction method, system, device and medium. The method adjusts the well depth by comprehensively using the positioning nipple double-peak value and the coupling three-peak value group, so that the well depth in the well depth-wall thickness big data obtained by electromagnetic logging is as close to the true value as possible. However, the method needs to correct the data multiple times, and the calculation process is complicated.

[0003] The existing pipe string safety evaluation method obtains the maximum inner diameter and the minimum wall thickness from the big data measured for each pipe to perform strength calculation, and the calculation result represents the pipe string strength of the well section where the pipe is located. Since the maximum inner diameter and the minimum wall thickness used for calculation are the worst size extreme values of the pipe, the two extreme values do not belong to the same section parameters of the pipe body, but belong to two different sections at a certain distance apart on the pipe string, which leads to a large deviation of the pipe string strength calculated based on the two extreme values. In addition, generally, multi-arm caliper logging and electromagnetic logging are performed twice. Due to the differences in stress and stretching amount of the cable for hoisting the logging instrument in the two scenarios of hoisting the multi-arm caliper and hoisting the electromagnetic logging instrument, the number of inner diameter measurement values and the number of wall thickness measurement values between the two couplings are not the same. The number of inner diameter measurement values may be greater than the number of wall thickness measurement values, or the number of inner diameter measurement values may be less than the number of wall thickness measurement values. As a result, the inner diameter measurement values and the wall thickness measurement values between the two couplings cannot be unified one-to-one to the same section of the pipe body, and if strength calculation is performed according to the inner diameter and wall thickness parameters of the same section, the pipe string safety evaluation result will be distorted. SUMMARY

[0004] To solve the above problems, the present application provides an oil and gas well pipe string safety analysis method and device based on logging big data.

[0005] The present application provides the following technical solutions: An oil and gas well pipe string safety analysis method based on logging big data, the method comprising: Obtaining oil and gas well pipe string logging big data, the pipe string logging big data comprising logging inner diameter big data, logging wall thickness big data and pipe length of each pipe body in the oil and gas well pipe string; Obtaining a pipe string strength curve based on the logging inner diameter big data, the logging wall thickness big data and the pipe length of each pipe body in the oil and gas well pipe string; Analyzing the safety of the oil and gas well pipe string based on the pipe string strength curve.

[0006] Further, obtaining the oil and gas well pipe string logging big data comprises: Dividing the oil and gas well pipe string into multiple pipe bodies with collars as nodes from the wellhead to the well bottom; Obtaining the logging inner diameter big data and the length of each pipe body in the oil and gas well pipe string by measuring the inner diameter of each pipe body from top to bottom based on a first logging instrument; Obtaining the logging wall thickness big data of each pipe body in the oil and gas well pipe string by measuring the wall thickness of each pipe body from top to bottom based on a second logging instrument.

[0007] Further, the logging inner diameter big data and the logging wall thickness big data of each pipe body are respectively mapped to the corresponding pipe body at equal intervals, and the logging inner diameter data interval and the logging wall thickness data interval are respectively represented as: The logging inner diameter data interval is represented as:

[0008] In the formula, L represents the average interval of the logging inner diameter data of the jth pipe body, and L represents the length of the jth pipe body. j n represents the number of logging inner diameter data in the jth pipe body, and j represents the pipe body number; The logging wall thickness data interval is represented as:

[0009] In the formula, L represents the average interval of the logging wall thickness data of the jth pipe body, and L represents the length of the jth pipe body. j m represents the number of logging wall thickness data in the jth pipe body, and j represents the pipe body number.

[0010] Further, obtaining the pipe string strength curve based on the logging inner diameter big data and the logging wall thickness big data of each pipe body in the oil and gas well pipe string comprises: Based on the logging inner diameter big data and the logging wall thickness big data of each pipe body, an inner diameter-wall thickness data pair along a predetermined direction of each pipe body is constructed, wherein the inner diameter corresponding section in the inner diameter-wall thickness data pair is adjacent or identical to the wall thickness data corresponding section; Based on the calculation of each inner diameter-wall thickness data pair, the pipe body strength of the inner diameter corresponding section or the wall thickness data corresponding section in the inner diameter-wall thickness data pair is obtained; Based on the pipe body strength of the inner diameter corresponding section or the wall thickness data corresponding section in all inner diameter-wall thickness data pairs, the strength curve of the pipe body is obtained; Based on the strength curves of all pipe bodies, the pipe string strength curve is obtained.

[0011] Further, the logging inner diameter big data of each pipe body is recorded as D j,1 , D j,2 , D j,3 , …, D j,i , D j,(n-1) and D j,n , wherein j represents the pipe body number, i represents the section number of the logging inner diameter corresponding section from the upper coupling, i=1, 2, 3…n, and n represents the number of logging inner diameter data of the pipe body; The logging wall thickness big data of each pipe body is recorded as T j,1 , T j,2 , T j,3 , …, T j,x , T j,(m-1) and T j,m , wherein j represents the pipe body number; x represents the section number of the logging wall thickness corresponding section from the upper coupling, x=1, 2, 3…m, and m represents the number of logging wall thickness data of the pipe body.

[0012] Further, based on the logging inner diameter big data and the logging wall thickness big data of each pipe body, the inner diameter-wall thickness data pair of each pipe body is constructed; When i=1 and x=1, the D j,1 -T j,1 data pair is constructed; When 1 j,i -T j,x , D j,i -T j,(x+1) two pairs of data pairs are constructed, wherein,

[0013] , wherein, represents the distance from the logging inner diameter section i of the pipe body to the upper coupling; is a downward rounding mathematical operator symbol; represents the pipe body logging wall thickness data average interval of the jth pipe body; When i = n, x = m, construct D j,n -T j,m Data pairs.

[0014] Further, when 1 < i < n, 1 < x < m, construct D j,i -T j,x , D j,i -T j,(x+1) Two pairs of data pairs, including: Obtain two wall thickness data close to the target inner diameter section, denoted as T j,x , T j,(x+1) ; Based on the target inner diameter section D j,i , two wall thickness section positions close to the target inner diameter section construct D j,i -T j,x , D j,i -T j,(x+1) Two pairs of data pairs.

[0015] Further, the distance value from the logging target inner diameter section i to the upper collar is represented as: .

[0016] Also provided is an oil and gas well pipe string safety analysis device based on logging big data, the device comprising: A first acquisition unit for acquiring oil and gas well pipe string logging big data, the pipe string logging big data including logging inner diameter big data, logging wall thickness big data and pipe length of each pipe body in the oil and gas well pipe string; A second acquisition unit for obtaining a pipe string strength curve based on the logging inner diameter big data and the logging wall thickness big data of each pipe body in the oil and gas well pipe string; An analysis unit for analyzing the safety of the oil and gas well pipe string based on the pipe string strength curve.

[0017] Further, based on the logging inner diameter big data and the logging wall thickness big data of each pipe body in the oil and gas well pipe string, the pipe string strength curve is obtained, comprising: Based on the logging inner diameter big data and the logging wall thickness big data of each pipe body, a series of inner diameter-wall thickness data pairs as close as possible to the same section along the longitudinal direction of the pipe body are constructed; Based on each pair of inner diameter-wall thickness data pairs, the pipe body strength of the section is calculated, and the pipe body strength curve is obtained according to the pipe body strength of different sections along the longitudinal direction; Based on the strength curves of all pipe bodies, the pipe string strength curve is obtained.

[0018] Technical effects and advantages of the present application: The application constructs a series of inner diameter-wall thickness data pairs according to the logging inner diameter big data and the logging wall thickness big data, realizes that each pair of inner diameter and wall thickness data used for calculating the string strength is as close to the same section of the pipe body as possible, improves the accuracy of the string strength calculation, and enhances the correctness and reliability of the string safety evaluation.

[0019] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and the appended drawings. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 is the flow chart of the oil and gas well pipe string safety analysis method based on logging big data provided by the embodiment of the present application; Figure 2 is the schematic diagram of the relative position of the logging inner diameter big data and the logging wall thickness big data in the pipe string section.

[0021] In the figure: 1, upper coupling 1; 2, pipe body, 3, lower coupling. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the present application.

[0023] To solve the problems of the prior art, the present application discloses an oil and gas well pipe string safety analysis method based on logging big data, as shown in Figure 1 The method comprises the following steps: Step 1: obtaining the logging big data of the oil and gas well pipe string, wherein the pipe string logging big data comprises the logging inner diameter big data, the logging wall thickness big data and the pipe body length of each pipe body in the oil and gas well pipe string; Step 2: based on the logging inner diameter big data and the logging wall thickness big data of each pipe body in the oil and gas well pipe string, respectively mapping to the pipe body length at equal intervals, constructing a series of inner diameter-wall thickness data pairs as close to the same section as possible along the longitudinal direction of the pipe body, calculating the pipe body strength of each inner diameter-wall thickness data pair, obtaining the pipe body strength curve according to the pipe body strength of different sections along the longitudinal direction, connecting all the pipe body strength curves to obtain the pipe string strength curve; Step 3: comparing and analyzing the safety of the oil and gas well pipe string based on the pipe string strength curve and the load curve of the pipe string service.

[0024] In a specific embodiment of the present invention, in step 1, obtaining oil and gas well string logging big data includes: From the wellhead to the bottom of the well, the oil and gas well string is divided into multiple pipe bodies with couplings as nodes. For example, the pipe bodies are connected in series through coupling threads to form an oil and gas well string extending from the wellhead to the bottom of the well. For the couplings at both ends of the pipe body, the coupling close to the wellhead is the upper coupling, and the coupling close to the bottom of the well is the lower coupling. The first logging instrument measures the inner diameter of each pipe from top to bottom to obtain logging inner diameter data and pipe length of each pipe in the oil and gas well string. For example, the inner diameter of the pipe string is measured using a multi-arm caliper to obtain the pipe length. The second logging tool measures the wall thickness of each pipe from top to bottom to obtain big data on the wall thickness of each pipe in the oil and gas well string. For example, the pipe string wall thickness is measured by electromagnetic testing.

[0025] In a specific embodiment of the present invention, in step 2, obtaining a string strength curve based on well logging inner diameter big data and well logging wall thickness big data of each pipe body in the oil and gas well string includes: Step 201: Based on the well logging inner diameter big data and well logging wall thickness big data of each pipe body, construct the inner diameter and wall thickness data sequence of each pipe body; for example, Figure 2 The j-th pipe structure diagram is shown in FIG. 1 , where the upper coupling 1 and the lower coupling 3 are provided at the two ends of the pipe 2, and n represents the number of well logging inner diameter data for this section of the pipe; D j,1 represents the measured inner diameter of the first inner diameter section of the j-th canal; D j,2 D represents the measured inner diameter of the second inner diameter section of the j-th canal body; j,3 represents the measured inner diameter of the third inner diameter section of the j-th canal; D j,i represents the measured inner diameter of the i-th inner diameter section of the j-th tube body; D j,n It represents the measured inner diameter of the nth inner diameter section of the jth pipe body. The logging inner diameter big data of the pipe body is recorded as D j,1 、D j,2 、D j,3 ,…,D j,i 、D j,(n-1) and D j,n , where j represents the pipe body number, i represents the section number corresponding to the logging inner diameter from the upper coupling, i=1, 2, 3...n. The logging wall thickness data of the pipe body is recorded as T j,1 、T j,2 、T j,3 ,…,T j,x 、T j,(m-1) and T j,mwherein j represents the pipe body number; x represents the section number corresponding to the logging wall thickness of the upper coupling, x = 1, 2, 3…m; wherein D j,1 and T j,1 are the logging inner diameter data and the logging wall thickness data closest to the upper coupling, respectively, D j,n and T j,m are the logging inner diameter data and the logging wall thickness data closest to the lower coupling, respectively. n represents the number of logging inner diameter data of the pipe body, and m represents the number of logging wall thickness data of the pipe body.

[0026] Step 202, based on the inner diameter-wall thickness data pair of each pipe body, the strength curve corresponding to each pipe body is obtained, and the inner diameter-wall thickness data pair is constructed, wherein the section corresponding to the inner diameter in the inner diameter-wall thickness data pair is adjacent or the same as the section corresponding to the wall thickness data, so that each pair of inner diameter and wall thickness data is as close as possible to the same section of the pipe body. For example, according to the specific circumstances, one inner diameter data can correspond to one or two wall thickness data, or one wall thickness data can correspond to one or two inner diameter data.

[0027] The logging inner diameter big data and the logging wall thickness big data of each pipe body are respectively mapped to the corresponding pipe body length in an equal interval and uniform manner from top to bottom or from bottom to top, and the logging inner diameter data interval and the logging wall thickness data interval are respectively represented as: The logging inner diameter data interval is represented as:

[0028] In the formula, represents the average interval of the logging inner diameter data of the jth pipe body, L j represents the pipe length of the jth pipe body, and n represents the number of logging inner diameter data in the jth pipe body, and j represents the pipe body number; The logging wall thickness data interval is represented as:

[0029] In the formula, represents the average interval of the logging wall thickness data of the jth pipe body, L j represents the pipe length of the jth pipe body, and m represents the number of logging wall thickness data in the jth pipe body, and j represents the pipe body number.

[0030] Then, the inner diameter-wall thickness data pair for calculating the string strength about the pipe body is constructed, and the specific operation is as follows: (1) When i = 1 and x = 1, the D j,1 -T j,1 data pair is constructed; (2) When 1 < i < n and 1 < x < m, the D j,i -T j,x , Dj,i -T j,(x+1) Two pairs of data pairs, wherein, a, the distance between the logging inner diameter section i and the upper coupling is expressed as: ; b, obtain two wall thickness data close to the target inner diameter section, denoted as T j,x , T j,(x+1) ; c, for the wall thickness section position close to the inner diameter section i and close to the upper coupling, the logging wall thickness section sequence number of the distance from the upper coupling is denoted as: ; wherein, represents the distance from the logging inner diameter section i of the pipe body to the upper coupling; is the floor mathematical operator; represents the average interval of the pipe body logging wall thickness data of the jth pipe body; d, based on the target inner diameter section D j,i , two wall thickness section positions close to the target inner diameter section are constructed D j,i -T j,x , D j,i -T j,(x+1) Two pairs of data pairs.

[0031] i represents the section number corresponding to the logging inner diameter distance from the upper coupling, i=1, 2, 3…n; x represents the section number corresponding to the logging wall thickness distance from the upper coupling (the value range of x is 1~m); L j represents the length of the pipe body between the two couplings obtained during the inner diameter logging.

[0032] (3) when i=n, x=m, construct D j,n -T j,m data pairs.

[0033] According to the above steps, D j,1 -T j,1 , …, D j,i -T j,x , D j,i -T j,(x+1) , …, D j,n -T j,m A total of (2n-2) pairs of inner diameter-wall thickness data pairs.

[0034] Step 203, for each pair of inner diameter-wall thickness data formed in step 202, the pipe body strength is calculated according to GB / T 20657-2022 (Performance Formulas and Calculations for Casing, Tubing, Drill Pipe, and Line Pipe Used as Casing or Tubing in Petroleum and Natural Gas Industries) standard, and (2n-2) calculation results are evenly positioned along the pipe body axis from top to bottom in equal intervals to form the strength curve of the jth pipe body.

[0035] Step 204, repeat steps 201 to 203 to complete the strength curves of all pipe bodies in the pipe string in top-to-bottom order.

[0036] Step 205, connect the strength curves of each pipe body in the pipe string to form the entire pipe string strength curve.

[0037] Step 206, compare the load curve and the strength curve of the pipe string to determine the service safety of the pipe string. The strength curve is actually a series of strength values of the pipe string from the wellhead to the bottom of the well, and the strength value at each depth position on the curve is compared with the external load at that position. If the pipe string strength value at that position is greater than the external load value, the pipe string at that position is relatively safe, and each well depth position is compared in this way to obtain all safe and dangerous positions in the pipe string. The pipe body service load is obtained through wellhead testing and pipe string mechanics calculation, or directly tested.

[0038] According to the logging inner diameter big data and the logging wall thickness big data, the application constructs a series of inner diameter-wall thickness data pairs, realizes that each pair of inner diameter and wall thickness data used for calculating the pipe string strength is as close as possible to the same section of the pipe body, improves the accuracy of the pipe string strength calculation, and enhances the correctness and reliability of the pipe string safety evaluation.

[0039] The application also provides an oil and gas well pipe string safety analysis device based on logging big data, which comprises: A first acquisition unit is configured to acquire oil and gas well pipe string logging big data, wherein the pipe string logging big data comprises logging inner diameter big data, logging wall thickness big data and pipe body length of each pipe body in the oil and gas well pipe string. A second acquisition unit is configured to obtain a pipe string strength curve based on the logging inner diameter big data and the logging wall thickness big data of each pipe body in the oil and gas well pipe string. An analysis unit is configured to analyze the safety of the oil and gas well pipe string based on a comparison between the pipe string strength curve and a load curve of the pipe string.

[0040] In one specific embodiment of the application, the pipe string strength curve is obtained based on the logging inner diameter big data and the logging wall thickness big data of each pipe body in the oil and gas well pipe string, and comprises: Based on the logging inner diameter big data and the logging wall thickness big data of each pipe body, a series of inner diameter-wall thickness data pairs as close as possible to the same section along the longitudinal direction of the pipe body are constructed; Based on each pair of inner diameter-wall thickness data, the pipe body strength of the section is calculated, and the pipe body strength curve is obtained according to the pipe body strengths of different sections along the longitudinal direction; Based on the strength curves of all pipe bodies, the pipe string strength curve is obtained.

[0041] The technical solutions of the present application will be further described below in combination with specific embodiments.

[0042] In order to reduce the amount of calculation, the present example reduces the sample number of logging inner diameter big data and logging wall thickness big data, and the calculation process is only to demonstrate the data processing method.

[0043] Step 1: Obtain the logging big data of the first pipe body. Obtain the logging inner diameter big data and the logging wall thickness big data of the first pipe body (pipe body between two couplings) from the wellhead.

[0044] According to the inner diameter logging data, the length L1 of the first pipe body between the two couplings is 10 m.

[0045] As shown in Table 1 and Table 2, the number of inner diameter measurement sections of the pipe body between the two couplings is n=9, and the number of wall thickness measurement sections of the pipe body between the two couplings is m=11.

[0046] Table 1 Inner diameter detection data

[0047] Table 2 Wall thickness detection data

[0048] Step 2: Construct the inner diameter-wall thickness data pair, so that each pair of inner diameter and wall thickness data is as close as possible to the same section of the pipe body.

[0049] The logging inner diameter data D 1,1 , D 1,2 , D 1,3 , D 1,4 , D 1,5 , D 1,6 , D 1,7 , D 1,8 , D 1,9 are uniformly mapped at equal intervals on the pipe body with a length of L1, and the interval of the logging inner diameter data is: (m) The logging wall thickness data T 1,1 , T 1,2 , T 1,3 , T 1,4 , T 1,5 , T 1,6 , T1,7 , T 1,8 , T 1,9 , T 1,10 , T 1,11 are mapped to the pipe body with length L1 evenly, the logging wall thickness data interval is: (m) Then a series of internal diameter-wall thickness data pairs for calculating the pipe string strength are constructed.

[0050] ① When i = 1, the D 1,1 -T 1,1 data pair is constructed.

[0051] Table 3 the data pair constructed when i = 1

[0052] ② When 1 < i < 9, a. the logging internal diameter section i to the distance from the upper coupling: ; b. the wall thickness section number close to the internal diameter section i and close to the upper coupling is solved. For the logging wall thickness section sequence, the logging wall thickness section number from the upper coupling is: ; wherein, is the floor mathematical operator, the corresponding relationship between i and x is shown in Table 4: Table 4

[0053] c. for each logging internal diameter section, two pairs of internal diameter-wall thickness data pairs are constructed The D j,i -T j,x , D j,i -T j,(x+1) data pairs are constructed, that is, the two wall thickness measurement values closest to the internal diameter section i are found, the internal diameter and wall thickness in the data pair are as close as possible to the same section of the pipe body, and meanwhile it is ensured that the data is not lost. As shown in Table 5 and Table 6, from i = 2 to i = 8, a total of 14 pairs of data pairs are constructed.

[0054] Table 5 the data pair (name) constructed when i = 2~8

[0055] Table 6 the data pair (value) constructed when i = 2~8

[0056] ③ When i = 9, the D 1,9 -T1,11 Data pairs, see Table 7.

[0057] Table 7 Data pairs constructed when i = 9

[0058] According to the above steps, the first pipe body is formed D 1,1 -T 1,1 , D 1,2 -T 1,2 , D 1,2 -T 1,3 , D 1,3 -T 1,3 , D 1,3 -T 1,4 , D 1,4 -T 1,4 , D 1,4 -T 1,5 , D 1,5 -T 1,6 , D 1,5 -T 1,7 , D 1,6 -T 1,7 , D 1,6 -T 1,8 , D 1,7 -T 1,8 , D 1,7 -T 1,9 , D 1,8 -T 1,9 , D 1,8 -T 1,10 , D 1,9 -T 1,11 A total of 16 pairs of inner diameter-wall thickness data pairs are shown in Table 8: Table 8 Total data pairs constructed

[0059] Step 3: Assuming the pipe body steel grade is P110, the tensile strength, internal pressure strength and external extrusion strength of each pair of inner diameter-wall thickness data formed in step two are calculated according to GB / T 20657-2022 (Performance formula and calculation of casing, tubing, drill pipe and line pipe used as casing or tubing for petroleum and natural gas industry) standard, and the 16 calculation results are evenly positioned along the pipe body axis from top to bottom at equal intervals to form the strength curve of the first pipe body.

[0060] To reduce the amount of calculation, the calculation example only calculates the comparison results when i = 7, as shown in Table 9, wherein the data pair used when the conventional method calculates the pipe body strength is D 1,7 -T 1,7That is, the well bore inner diameter section serial number is the same as the well bore thickness section serial number. It can be seen that the tensile strength, internal pressure strength and external pressure strength of the pipe body calculated according to the method of the present application are more accurate than those calculated according to the conventional method.

[0061] Table 9 Comparison of the calculation results of the method and the conventional method

[0062] Step 4, repeat steps 1 to 3, and sequentially complete the strength curves of all pipe bodies in the pipe string from top to bottom.

[0063] Step 5, connect the strength curves of each pipe body of the pipe string to form the strength curve of the entire pipe string.

[0064] Step 6, compare the load curve and the strength curve of the pipe string to determine the service safety of the pipe string. In order to reduce the calculation amount, only the service safety of the pipe body with the well bore inner diameter section serial number 7 is shown, and the results are shown in Table 10.

[0065] Table 10 Pipe string safety analysis results (section with well bore inner diameter section serial number 7)

[0066] Finally, it should be noted that: the above only for the preferred embodiments of the present application, and not for limiting the present application, although the present application has been described in detail with reference to the foregoing embodiments, for those skilled in the art, it still can be modified to the technical solutions recorded in the foregoing embodiments, or equivalent replacement of some technical features, any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application, should be included in the protection scope of the present application.

Claims

1. A method for analyzing the safety of oil and gas well strings based on well logging big data, characterized in that: The method comprises: Obtaining big logging data for oil and gas well tubing strings, wherein the big logging data for the tubing strings include big logging data for the inner diameter, wall thickness, and length of each tubing body in the oil and gas well tubing strings; Obtain the string strength curve based on the well logging inner diameter data, well logging wall thickness data and pipe length of each pipe in the oil and gas well string; Analyzing the safety of oil and gas well tubing based on the tubing strength curve; Among them, based on the big data of well logging inner diameter and wall thickness of each pipe in the oil and gas well string, the string strength curve is obtained, including: Based on the well logging inner diameter big data and well logging wall thickness big data of each pipe body, an inner diameter-wall thickness data pair along a predetermined direction of each pipe body is constructed, wherein the cross section corresponding to the inner diameter in the inner diameter-wall thickness data pair is adjacent to or identical to the cross section corresponding to the wall thickness data; Based on each pair of inner diameter-wall thickness data, the pipe body strength of the cross section corresponding to the inner diameter or the cross section corresponding to the wall thickness data in the inner diameter-wall thickness data pair is obtained; Obtaining a strength curve of the pipe body based on the pipe body strength of the cross section corresponding to the inner diameter or the cross section corresponding to the wall thickness data in all inner diameter-wall thickness data pairs; Based on the strength curves of all pipe bodies, a pipe string strength curve is obtained.

2. The oil and gas well string safety analysis method based on well logging big data according to claim 1 is characterized in that: Obtaining big data on oil and gas well string logging, including: From the wellhead to the bottom of the well, the oil and gas well string is divided into multiple pipe bodies with the collar as the node; The first logging instrument is used to measure the inner diameter of each pipe from top to bottom, thereby obtaining the logging inner diameter big data and the length of each pipe in the oil and gas well string; The second logging tool is used to measure the wall thickness of each pipe from top to bottom, and obtains big data on the wall thickness of each pipe in the oil and gas well string.

3. The oil and gas well string safety analysis method based on well logging big data according to claim 2 is characterized in that: The logging inner diameter big data and the logging wall thickness big data of each pipe body are evenly mapped to the corresponding pipe body at equal intervals. The intervals of the logging inner diameter data and the logging wall thickness data are respectively expressed as: The spacing of the logging inner diameter data is expressed as: Where, represents the average spacing of the j-th pipe body inner diameter logging data, L j represents the length of the j-th pipe, n represents the number of well logging inner diameter data in the j-th pipe, and j represents the pipe number; The interval of well logging wall thickness data is expressed as: Where, The average spacing of the wall thickness data of the j-th pipe body is L j represents the length of the j-th pipe, m represents the number of well logging wall thickness data in the j-th pipe, and j represents the pipe number.

4. The oil and gas well string safety analysis method based on well logging big data according to claim 1, characterized in that: The logging inner diameter data of each pipe body is recorded as D j,1 、D j,2 、D j,3 ,…,D j,i 、D j,(n-1) and D j,n , where j represents the pipe body number, i represents the section number corresponding to the logging inner diameter of the upper coupling, i=1, 2, 3...n, and n represents the number of logging inner diameter data of the pipe body in this section; The logging wall thickness data of each pipe body is recorded as T j,1 、T j,2 、T j,3 ,…,T j,x 、T j,(m-1) and T j,m , where j represents the pipe body number; x represents the section number corresponding to the well logging wall thickness from the upper coupling, x=1, 2, 3...m, and m represents the number of well logging wall thickness data for this section of pipe body.

5. The oil and gas well string safety analysis method based on well logging big data according to claim 1 is characterized in that: Based on the big data of well logging inner diameter and wall thickness of each pipe body, the inner diameter-wall thickness data pair of each pipe body is constructed; When i=1, x=1, construct D j,1 -T j,1 Data pairs; When 1<i<n, 1<x<m, construct D j,i -T j,x 、D j,i -T j,(x+1) Two pairs of data, where in, Indicates the distance from the logging inner diameter section i of the pipe body to the upper coupling; To round down to an integer mathematical operation symbol; represents the average spacing of the pipe wall thickness data of the jth pipe; When i=n, ​​x=m, construct D j,n -T j,m Data pair.

6. The oil and gas well string safety analysis method based on well logging big data according to claim 5 is characterized in that: When 1<i<n, 1<x<m, construct D j,i -T j,x 、D j,i -T j,(x+1) Two pairs of data, including: Get two wall thickness data close to the target inner diameter section, denoted as T j,x 、T j,(x+1) ; Based on the target inner diameter section D j,i , construct D at two wall thickness section positions close to the target inner diameter section j,i -T j,x 、D j,i -T j,(x+1) Two pairs of data.

7. The oil and gas well string safety analysis method based on well logging big data according to claim 6 is characterized in that: The distance from the target inner diameter section i to the upper collar is expressed as: 。 8. A device for analyzing the safety of oil and gas well strings based on well logging big data, characterized in that: The device comprises: The first acquisition unit is used to acquire big logging data of the oil and gas well tubular string, wherein the big logging data of the tubular string includes big logging data of the inner diameter, the wall thickness and the length of each tubular body in the oil and gas well tubular string; The second acquisition unit is configured to obtain a tubular string strength curve based on the well logging inner diameter big data and the well logging wall thickness big data of each tubular body in the oil and gas well tubular string. The acquisition of the tubular string strength curve based on the well logging inner diameter big data and the well logging wall thickness big data of each tubular body in the oil and gas well tubular string includes: Based on the big data of well logging inner diameter and wall thickness of each pipe, a series of inner diameter-wall thickness data pairs along the longitudinal direction of the pipe that are as close as possible to the same cross section are constructed; Calculate the pipe strength of the cross section based on each pair of inner diameter-wall thickness data, and obtain the pipe strength curve according to the pipe strength of different cross sections along the longitudinal direction; Based on the strength curves of all pipe bodies, a pipe string strength curve is obtained; An analysis unit is used to analyze the safety of the oil and gas well tubing based on the tubing strength curve.

9. The oil and gas well string safety analysis device based on well logging big data according to claim 8, characterized in that: The logging inner diameter data of each pipe body is recorded as D j,1 、D j,2 、D j,3 ,…,D j,i 、D j,(n-1) and D j,n , where j represents the pipe body number, i represents the section number corresponding to the logging inner diameter of the upper coupling, i=1, 2, 3...n, and n represents the number of logging inner diameter data of the pipe body in this section; The logging wall thickness data of each pipe body is recorded as T j,1 、T j,2 、T j,3 ,…,T j,x 、T j,(m-1) and T j,m , where j represents the pipe body number; x represents the section number corresponding to the well logging wall thickness from the upper coupling, x=1, 2, 3...m, and m represents the number of well logging wall thickness data for this section of pipe body.

10. The oil and gas well string safety analysis device based on well logging big data according to claim 8, characterized in that: Based on the big data of well logging inner diameter and wall thickness of each pipe body, the inner diameter-wall thickness data pair of each pipe body is constructed; When i=1, x=1, construct D j,1 -T j,1 Data pairs; When 1<i<n, 1<x<m, construct D j,i -T j,x 、D j,i -T j,(x+1) Two pairs of data, where in, Indicates the distance from the logging inner diameter section i of the pipe body to the upper coupling; To round down to an integer mathematical operation symbol; represents the average spacing of the pipe wall thickness data of the jth pipe; When i=n, ​​x=m, construct D j,n -T j,m Data pairs; When 1<i<n, 1<x<m, construct D j,i -T j,x 、D j,i -T j,(x+1) Two pairs of data, including: Get two wall thickness data close to the target inner diameter section, denoted as T j,x 、T j,(x+1) ; Based on the target inner diameter section D j,i , construct D at two wall thickness section positions close to the target inner diameter section j,i -T j,x 、D j,i -T j,(x+1) Two pairs of data.

Images