Data processing system and method suitable for acoustic variable density logging

Abstract

The present invention discloses a data processing system and method suitable for acoustic variable density logging, and relates to the technical field of data processing. The present invention comprises: a logging data acquisition module, a logging data processing module, a perforation layer positioning module and a local database. The present invention analyzes the data attenuation value generated by high temperature and high pressure, and analyzes the signal intensity of the sound wave through the acoustic variable density logging diagram, and corrects the characteristic value of each logging data of each measuring depth of the measured drilling, thereby improving the accuracy of the measurement data. At the same time, by intelligently combining the acoustic variable density logging data and the selection of the perforation layer, the dependence on manual screening is reduced, the accuracy of the perforation layer selection is improved, thereby reducing the workload of the logging staff and improving the logging efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a data processing system and method suitable for acoustic variable density logging. Background Art

[0002] Acoustic variable density logging is an important petroleum logging technology that can effectively evaluate drilling quality and select perforation layers. However, in actual applications, due to environmental factors, the accuracy of geological exploration instruments, and other reasons, the data generated by acoustic variable density logging will have certain deviations. If these deviations are not taken into account during data processing, it is easy to cause the logging personnel to deviate from the judgment of drilling geology, thereby increasing the risk of drilling operations. Therefore, it is necessary to optimize the data processing method of acoustic variable density logging.

[0003] Existing technologies such as the invention patent application with announcement number: CN106501862A discloses a method for processing well logging acoustic wave variable density information, which includes: based on the grayscale function coefficient and the resolution of the acoustic wave variable density result map set by the client, the server dynamically adjusts the grayscale function coefficient and the sampling interval of the server-side grayscale variable data to generate grayscale variable data suitable for network transmission, thereby reducing the amount of data transmitted over the network and the hardware requirements of the client. The accuracy of the drawn acoustic wave variable density result map can meet the client requirements, thereby realizing cross-platform display of acoustic wave variable density logging information on mobile terminals such as computers and smart phones.

[0004] The prior art, such as the invention patent application with announcement number: CN105888647B, discloses a method and device for calibrating an acoustic variable density logging instrument. The method includes: proposing an acoustic variable density logging instrument probe consistency calibration method, designing a calibration device, and using the acoustic variable density logging instrument probe consistency calibration device to calibrate all acoustic variable density logging instruments in a workshop, obtain the calibration coefficient of each acoustic variable density instrument, and unify the amplitude response to the same scale, thereby solving the problem of amplitude calibration caused by the lack of free casing in the logging site, eliminating the influence of casing size, well fluid and tubing, greatly facilitating on-site operations, and improving the quality of cementing evaluation.

[0005] From the above scheme, it can be seen that the current data processing system of acoustic variable density logging lacks certain attention to the influence of high temperature and high pressure on the detection data of geological exploration instruments. Under high temperature and high pressure environment, the propagation characteristics of sound waves will be affected, resulting in attenuation and interference of sound wave data, thereby reducing the accuracy of measurement data. At the same time, there is a lack of attention to the intelligent combination of acoustic variable density logging data and the selection of perforation layers. The perforation layer refers to the specific location of the wellbore in the oil and gas well where holes are formed on the casing through perforation operations to allow the fluid in the formation to flow into the wellbore. It often refers to an area. When acoustic variable density logging is performed, data of continuous measurement points are often obtained, and relatively scattered suitable measurement points cannot be used as perforation layers. Therefore, most existing methods rely on manual selection, which increases the workload of logging staff and reduces logging efficiency. Summary of the Invention

[0006] The purpose of the present invention is to provide a data processing system and method suitable for acoustic variable density logging, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect of the present invention, a data processing system suitable for acoustic variable density logging is provided, comprising: a logging data acquisition module, which is used to obtain the temperature value, pressure value, variable density logging map of each acoustic wave and characteristic value of each logging data of each measuring depth of the measuring drilling through the current geological exploration instrument.

[0008] The logging data processing module is used to analyze the suitable operating coefficients of each measuring depth of the drilling.

[0009] The perforation layer positioning module is used to determine whether there is a suitable perforation layer area for the measurement drilling. If so, the recommended perforation layer areas to which the measurement drilling belongs are counted and sent to the drilling manager. If not, the drilling manager is reminded.

[0010] The second aspect of the present invention provides a data processing method for executing the data processing system suitable for acoustic variable density logging, including: Step 1. Acquisition of logging data: obtaining the temperature value, pressure value, variable density logging map of each acoustic wave and characteristic value of each logging data of each measuring depth of the measuring drilling through the current geological exploration instrument.

[0011] Step 2. Logging data processing: Analyze the appropriate operating coefficients for each measurement depth of the drilling.

[0012] Step 3. Perforation layer positioning: Determine whether there is a suitable perforation layer area for the survey drilling. If so, count the recommended perforation layer areas to which the survey drilling belongs and send them to the drilling manager. If not, remind the drilling manager.

[0013] The beneficial effects of the present invention are as follows: (1) The well logging data acquisition module of the present invention acquires various measurement data of the drilling measurement, thereby facilitating subsequent analysis.

[0014] (2) The logging data processing module of the present invention corrects the characteristic values ​​of each logging data at each measuring depth of the measured drilling by analyzing the data attenuation value generated by high temperature and high pressure and analyzing the signal strength of the sound wave through the acoustic variable density logging diagram, thereby improving the accuracy of the measurement data.

[0015] (3) The perforation layer positioning module of the present invention intelligently combines the acoustic variable density logging data with the selection of perforation layers, thereby reducing the reliance on manual screening and improving the accuracy of perforation layer selection, thereby reducing the workload of logging personnel and improving logging efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 Schematic diagram of the system module of the present invention.

[0018] Figure 2 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] Reference Figure 1 As shown, the first aspect of the present invention provides a data processing system suitable for acoustic variable density logging, comprising: a logging data acquisition module, a logging data processing module, a perforation layer positioning module and a local database.

[0021] It should be noted that the logging data acquisition module is connected to the logging data processing module, the logging data processing module is connected to the perforation layer positioning module, and the local database is connected to the logging data processing module and the perforation layer positioning module.

[0022] It should also be noted that the local database is used to store the confidence decrease percentage of the suitable operating coefficient corresponding to each comprehensive evaluation level of bonding strength, the initial characteristic value of each logging data, the upper limit value of the suitable temperature value and the upper limit value of the suitable pressure of the probe of the current geological exploration instrument, the comprehensive evaluation level of bonding strength corresponding to each bonding quality quality evaluation coefficient interval, the initial signal strength quality coefficient of the casing wave and the lower limit value of the suitable total grayscale value of the variable density logging map, the signal strength quality coefficient decrease value of the variable density logging map of the casing wave under unit grayscale value deviation, the high temperature compensation characteristic value of each logging data corresponding to each high temperature compensation coefficient interval, the high pressure compensation characteristic value of each logging data corresponding to each high pressure compensation coefficient interval, the suitable operating coefficient threshold, the suitable operating coefficient fluctuation evaluation coefficient threshold, and the number threshold of the measurement depth to be analyzed.

[0023] The logging data acquisition module is used to acquire the temperature value, pressure value, variable density logging diagram of each sound wave and characteristic value of each logging data of each measuring depth of the measuring well through the current geological exploration instrument.

[0024] In a specific embodiment, the temperature value, pressure value, variable density logging diagram of each sound wave and characteristic value of each logging data of each measuring depth belonging to the measurement drilling are obtained by a specific acquisition method: the temperature value, pressure value, variable density logging diagram of each sound wave and characteristic value of each logging data of each measuring depth belonging to the measurement drilling are obtained by a probe installed on the current geological exploration instrument.

[0025] It should be noted that the characteristic values ​​of the logging data include: acoustic amplitude data values, time difference values ​​of various sound waves and other logging data.

[0026] The well logging data acquisition module of the present invention acquires various measurement data of the well logging drilling, thereby facilitating subsequent analysis.

[0027] The logging data processing module is used to analyze the suitable operation coefficient of each measuring depth of the drilling measurement.

[0028] In a specific embodiment of the present invention, the analysis and measurement of the suitable operating coefficients of each measuring depth of the drilling well is specifically performed by calculating the high temperature compensation coefficient and the high pressure compensation coefficient of each measuring depth of the drilling well based on the temperature value and the pressure value of each measuring depth of the drilling well.

[0029] Based on the variable density logging diagram of each sound wave at each measuring depth of the measuring drilling well, the comprehensive evaluation grade of the cementation strength at each measuring depth of the measuring drilling well is calculated.

[0030] It should be noted that the comprehensive assessment levels of bonding strength include: first-level comprehensive assessment level of bonding strength, second-level comprehensive assessment level of bonding strength, third-level comprehensive assessment level of bonding strength and fourth-level comprehensive assessment level of bonding strength, among which the fourth-level comprehensive assessment level of bonding strength is greater than the third-level comprehensive assessment level of bonding strength, the third-level comprehensive assessment level of bonding strength is greater than the second-level comprehensive assessment level of bonding strength, and the second-level comprehensive assessment level of bonding strength is greater than the first-level comprehensive assessment level of bonding strength.

[0031] Analyze the target analysis characteristic value of each logging data at each measurement depth of the measured drilling well based on the characteristic value of each logging data at each measurement depth of the measured drilling well , where x represents the number of each measurement depth, , y is a positive integer greater than 2, n represents the number of each logging data, , m is a positive integer greater than 2.

[0032] Obtain the confidence reduction percentage of the suitable operation coefficient corresponding to each comprehensive assessment level of cement strength from the local database, and map it to obtain the confidence reduction percentage of the suitable operation coefficient for each measurement depth of the measured drilling well. .

[0033] Get the initial eigenvalues ​​of each logging data from the local database , calculate the appropriate operating coefficient for each measurement depth of the measurement drilling .

[0034] It should be noted that the higher the comprehensive assessment level of bonding strength, the smaller the corresponding percentage decrease in the confidence level of the suitability coefficient.

[0035] In a specific embodiment of the present invention, the high temperature compensation coefficient and the high pressure compensation coefficient for each measuring depth of the measuring drilling are calculated by obtaining the appropriate temperature upper limit A and the appropriate pressure upper limit B of the probe of the current geological exploration instrument from the local database.

[0036] According to the temperature value of each measuring depth of the measured drilling , calculate the high temperature compensation coefficient for each measuring depth of the drilling well , where e is a natural constant.

[0037] According to the pressure value of each measuring depth of the measured drilling , calculate the high pressure compensation coefficient for each measuring depth of the measured drilling .

[0038] In a specific embodiment of the present invention, the calculation method of the comprehensive evaluation grade of the bonding strength of each measuring depth of the measuring drilling is as follows: based on the variable density logging diagram of each sound wave at each measuring depth of the measuring drilling, the variable density logging diagram of the casing wave, formation wave and direct wave at each measuring depth of the measuring drilling is extracted, and the grayscale value of each pixel point of the variable density logging diagram of the casing wave, formation wave and direct wave at each measuring depth of the measuring drilling is obtained, and the high-quality evaluation coefficient of the bonding quality of each measuring depth of the measuring drilling is calculated based on this.

[0039] The comprehensive evaluation grade of the bonding strength corresponding to each high-quality evaluation coefficient interval of the bonding quality is obtained from the local database, and the comprehensive evaluation grade of the bonding strength at each measuring depth of the measured drilling well is mapped.

[0040] It should be noted that the larger the bonding quality assessment coefficient is, the higher the comprehensive assessment level of bonding strength is.

[0041] In a specific embodiment of the present invention, the calculation method of the bonding quality quality evaluation coefficient of each measurement depth of the measurement drilling is as follows: the initial signal intensity quality coefficient F of the casing wave and the appropriate total gray value lower limit D of the variable density logging map, and the signal intensity quality coefficient decrease value E of the variable density logging map of the casing wave under unit gray value deviation are obtained from the local database.

[0042] According to the gray value of each pixel of the variable density logging map of the casing wave at each measuring depth of the measuring drilling, the total gray value of the variable density logging map of the casing wave at each measuring depth of the measuring drilling is obtained by adding and calculating. , calculate the signal strength quality coefficient of the casing wave at each measuring depth of the drilling .

[0043] Based on the grayscale value of each pixel point of the variable density logging map of the formation wave and direct wave at each measuring depth of the measuring drilling, the signal strength quality coefficient of the formation wave at each measuring depth of the measuring drilling is calculated in the same way. and the signal strength quality factor of the direct wave .

[0044] Calculate the quality evaluation coefficient of cementation quality at each measurement depth of the measurement drilling well .

[0045] In a specific embodiment of the present invention, the target analysis characteristic value of each logging data of each measurement depth of the measurement drilling is analyzed, and its specific analysis method is: obtaining the high temperature compensation characteristic value of each logging data corresponding to each high temperature compensation coefficient interval and the high pressure compensation characteristic value of each logging data corresponding to each high pressure compensation coefficient interval from the local database, and mapping the high temperature compensation characteristic value of each measurement depth of the measurement drilling according to the high temperature compensation coefficient and the high pressure compensation coefficient of each measurement depth of the measurement drilling. , high voltage compensation characteristic value .

[0046] It should be noted that the larger the high temperature compensation coefficient, the larger the high temperature compensation characteristic value of the corresponding logging data, and the larger the high pressure compensation coefficient, the larger the high pressure compensation characteristic value of the corresponding logging data.

[0047] Based on the characteristic values ​​of each logging data at each measurement depth of the measured drilling well , calculate the target analysis characteristic value of each logging data of each measurement depth of the measurement drilling .

[0048] The well logging data processing module of the present invention analyzes the data attenuation value generated by high temperature and high pressure, and analyzes the signal strength of the sound wave through the acoustic wave variable density logging diagram, and corrects the characteristic values ​​of each logging data at each measurement depth of the measured drilling, thereby improving the accuracy of the measurement data.

[0049] The perforation layer positioning module is used to determine whether there is a suitable perforation layer area for the measurement drilling. If so, it will count the recommended perforation layer areas to which the measurement drilling belongs and send them to the drilling manager. If not, it will remind the drilling manager.

[0050] In a specific embodiment of the present invention, the method for determining whether the surveying drilling well has a suitable perforation zone is as follows: a suitable operating coefficient threshold is obtained from a local database; if the suitable operating coefficients of all measuring depths belonging to the surveying drilling well are less than the suitable operating coefficient threshold, it is determined that the surveying drilling well has no suitable perforation zone; if the suitable operating coefficient of a certain measuring depth belonging to the surveying drilling well is greater than or equal to the suitable operating coefficient threshold, the measuring depth is marked as a measuring depth to be analyzed, thereby screening the measuring depths to be analyzed belonging to the surveying drilling well.

[0051] Determine whether the survey drilling has a measurement area to be analyzed. If not, determine that the survey drilling has no suitable perforation layer area. Otherwise, screen the measurement areas to be analyzed belonging to the survey drilling, and analyze the fluctuation assessment coefficient of the suitable operation coefficient of each measurement area to be analyzed belonging to the survey drilling.

[0052] The suitable operation coefficient fluctuation assessment coefficient threshold is obtained from the local database. If the suitable operation coefficient fluctuation assessment coefficients of each measurement area to be analyzed belonging to the measurement drilling well are all greater than the suitable operation coefficient fluctuation assessment coefficient threshold, it is determined that the measurement drilling well has no suitable perforation layer area. Otherwise, it is determined that the measurement drilling well has a suitable perforation layer area.

[0053] In a specific embodiment of the present invention, the specific determination method for determining whether a surveying well has a measurement area to be analyzed is as follows: if the numbers of the measurement depths to be analyzed belonging to the surveying well are not connected to each other, then it is determined that the surveying well has no measurement area to be analyzed; otherwise, the measurement depths to be analyzed that are connected in number and belong to the surveying well are merged into a target measurement area, thereby screening the target measurement areas belonging to the surveying well, obtaining the measurement depths to be analyzed in each target measurement area belonging to the surveying well, and counting the number of measurement depths to be analyzed in each target measurement area belonging to the surveying well.

[0054] A threshold number of measurement depths to be analyzed is obtained from a local database. If the number of measurement depths to be analyzed of each target measurement area belonging to the measurement well is less than the threshold number, it is determined that the measurement well has no measurement area to be analyzed. Otherwise, it is determined that the measurement well has a measurement area to be analyzed.

[0055] In a specific embodiment of the present invention, the analysis method of the suitable operating coefficient fluctuation evaluation coefficient of each measurement area to be analyzed belonging to the measurement drilling is as follows: based on the suitable operating coefficient of each measurement depth belonging to the measurement drilling, the suitable operating coefficient of each measurement depth of each measurement area to be analyzed belonging to the measurement drilling is mapped. , where G represents the number of each measurement area to be analyzed, , L is a positive integer greater than 2, T represents the number of each measurement depth of the measurement area to be analyzed, , K is a positive integer greater than 2.

[0056] Calculate the fluctuation evaluation coefficient of the suitable operation coefficient of each measurement area to be analyzed in the measurement drilling , where K represents the number of measurement depths of the measurement area to be analyzed.

[0057] In a specific embodiment, the method for screening the measurement areas to be analyzed belonging to the measurement drilling is as follows: if the number of measurement depths to be analyzed in a target measurement area to which the measurement drilling belongs is greater than or equal to a quantity threshold, the target measurement area is marked as a measurement area to be analyzed, thereby screening the measurement areas to be analyzed belonging to the measurement drilling.

[0058] In a specific embodiment, the specific analysis method of the statistical measurement drilling to which each recommended perforation layer area belongs is: if the suitable operation coefficient fluctuation assessment coefficient of a certain measurement area to be analyzed to which the measurement drilling belongs is less than or equal to the suitable operation coefficient fluctuation assessment coefficient threshold, then the measurement area to be analyzed is marked as a recommended perforation layer area, thereby screening the recommended perforation layer areas to which the measurement drilling belongs.

[0059] The perforation layer positioning module of the present invention intelligently combines acoustic variable density logging data with the selection of perforation layers, thereby reducing reliance on manual screening and improving the accuracy of perforation layer selection, thereby reducing the workload of logging personnel and improving logging efficiency.

[0060] Reference Figure 2 As shown, the second aspect of the present invention provides a data processing method for executing the data processing system suitable for acoustic variable density logging, including: Step 1. Acquisition of logging data: obtaining the temperature value, pressure value, variable density logging map of each acoustic wave and characteristic value of each logging data of each measuring depth of the measuring drilling through the current geological exploration instrument.

[0061] Step 2. Logging data processing: Analyze the appropriate operating coefficients for each measurement depth of the drilling.

[0062] Step 3. Perforation layer positioning: Determine whether there is a suitable perforation layer area for the survey drilling. If so, count the recommended perforation layer areas to which the survey drilling belongs and send them to the drilling manager. If not, remind the drilling manager.

[0063] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A data processing system suitable for acoustic variable density logging, characterized in that: include: The well logging data acquisition module is used to obtain the temperature value, pressure value, variable density logging diagram of each sound wave and characteristic value of each logging data at each measuring depth of the measured drilling through the current geological exploration instrument; Obtaining the appropriate temperature upper limit A and the appropriate pressure upper limit B of the probe of the current geological exploration instrument from the local database; According to the temperature value of each measuring depth of the measured drilling , calculate the high temperature compensation coefficient for each measuring depth of the drilling well , where e is a natural constant and x is the number of each measurement depth. , y is a positive integer greater than 2, n represents the number of each logging data, , m is a positive integer greater than 2; According to the pressure value of each measuring depth of the measured drilling , calculate the high pressure compensation coefficient for each measuring depth of the measured drilling ; Calculate the comprehensive assessment grade of the cementation strength at each measuring depth of the measured drilling well based on the variable density logging diagram of each acoustic wave at each measuring depth of the measured drilling well; Obtain the confidence reduction percentage of the suitable operation coefficient corresponding to each comprehensive assessment level of cement strength from the local database, and map it to obtain the confidence reduction percentage of the suitable operation coefficient for each measurement depth of the measured drilling well. ; According to the characteristic value of each logging data at each measuring depth of the measuring drilling well, and according to the high temperature compensation coefficient and high pressure compensation coefficient of each measuring depth of the measuring drilling well, the target analysis characteristic value of each logging data at each measuring depth of the measuring drilling well is analyzed. ; Get the initial eigenvalues ​​of each logging data from the local database , calculate the appropriate operating coefficient for each measurement depth of the measurement drilling ; The well logging data processing module is used to analyze the suitable operation coefficient of each measuring depth of the measuring drilling according to the temperature value, pressure value, variable density logging diagram of each sound wave and characteristic value of each logging data; The perforation layer positioning module is used to determine whether there is a suitable perforation layer area for the measured drilling by measuring the suitable operation coefficient of each measurement depth of the drilling. If so, the recommended perforation layer areas of the measured drilling are counted and sent to the drilling manager. If not, the drilling manager is reminded.

2. The data processing system for acoustic variable density logging according to claim 1, characterized in that: The local database has the following specific functions: The local database is connected to the logging data processing module and the perforation layer positioning module; It is used to store the confidence decrease percentage of the suitable operation coefficient corresponding to each comprehensive evaluation level of bonding strength, the initial characteristic value of each logging data, the upper limit of the suitable temperature value and the upper limit of the suitable pressure of the probe of the current geological exploration instrument, the comprehensive evaluation level of bonding strength corresponding to each bonding quality evaluation coefficient interval, the initial signal strength quality coefficient of the casing wave and the lower limit of the suitable total gray value of the variable density logging map, the signal strength quality coefficient decrease value of the variable density logging map of the casing wave under unit gray value deviation, the high temperature compensation characteristic value of each logging data corresponding to each high temperature compensation coefficient interval, the high pressure compensation characteristic value of each logging data corresponding to each high pressure compensation coefficient interval, the suitable operation coefficient threshold, the suitable operation coefficient fluctuation evaluation coefficient threshold, and the number threshold of the measurement depth to be analyzed.

3. The data processing system for acoustic variable density logging according to claim 1, characterized in that: The specific calculation method for calculating the comprehensive assessment grade of the bonding strength at each measurement depth of the measurement drilling well is as follows: Based on the variable density logging diagram of each acoustic wave at each measuring depth of the measured drilling, the variable density logging diagrams of the casing wave, formation wave and direct wave at each measuring depth of the measured drilling are extracted and grayscale transformed to obtain the grayscale value of each pixel point of the variable density logging diagrams of the casing wave, formation wave and direct wave at each measuring depth of the measured drilling, and based on this, the high-quality evaluation coefficient of the cementation quality at each measuring depth of the measured drilling is calculated; The comprehensive evaluation grade of cement strength corresponding to each high-quality evaluation coefficient interval of cement quality is obtained from the local database, and the comprehensive evaluation grade of cement strength at each measuring depth of the measured drilling well is mapped.

4. The data processing system for acoustic variable density logging according to claim 3, characterized in that: The specific calculation method for calculating the high-quality evaluation coefficient of the cementation quality at each measurement depth of the measurement drilling well is as follows: Obtain the initial signal strength quality coefficient F of the casing wave, the lower limit value D of the appropriate total gray value of the variable density logging chart, and the signal strength quality coefficient drop value E of the variable density logging chart of the casing wave under unit gray value deviation from the local database; According to the gray value of each pixel point of the variable density logging map of the casing wave at each measuring depth of the measuring drilling, the total gray value of the variable density logging map of the casing wave at each measuring depth of the measuring drilling is obtained by adding and calculating. , calculate the signal strength quality coefficient of the casing wave at each measuring depth of the drilling ; Based on the grayscale value of each pixel point of the variable density logging map of the formation wave and direct wave at each measuring depth of the measuring drilling, the signal strength quality coefficient of the formation wave at each measuring depth of the measuring drilling is calculated in the same way. and the signal strength quality factor of the direct wave ; Calculate the quality evaluation coefficient of cementation quality at each measurement depth of the measurement drilling well .

5. The data processing system for acoustic variable density logging according to claim 1, characterized in that: The target analysis characteristic value of each logging data of each measurement depth of the drilling is analyzed and measured, and the specific analysis method is as follows: The high temperature compensation characteristic value of each logging data corresponding to each high temperature compensation coefficient interval and the high pressure compensation characteristic value of each logging data corresponding to each high pressure compensation coefficient interval are obtained from the local database. According to the high temperature compensation coefficient and high pressure compensation coefficient of each measuring depth of the measured drilling well, the high temperature compensation characteristic value of each measuring depth of the measured drilling well is mapped. , high voltage compensation characteristic value ; Based on the characteristic values ​​of each logging data at each measurement depth of the measured drilling well , calculate the target analysis characteristic value of each logging data of each measurement depth of the measurement drilling .

6. The data processing system for acoustic variable density logging according to claim 1, characterized in that: The specific method for judging whether there is a suitable perforation zone in the measurement drilling is as follows: Obtaining a suitable operating coefficient threshold from a local database; if the suitable operating coefficients of all measured depths belonging to the measured drilling well are less than the suitable operating coefficient threshold, then determining that the measured drilling well has no suitable perforation layer area; if the suitable operating coefficient of a certain measured depth belonging to the measured drilling well is greater than or equal to the suitable operating coefficient threshold, then marking the measured depth as a measured depth to be analyzed, thereby screening the measured depths to be analyzed belonging to the measured drilling well; Determine whether the survey drilling has a measurement area to be analyzed. If not, determine that the survey drilling has no suitable perforation layer area. Otherwise, screen the measurement areas to be analyzed belonging to the survey drilling, and analyze the fluctuation assessment coefficient of the suitable operation coefficient of each measurement area to be analyzed belonging to the survey drilling; The suitable operation coefficient fluctuation assessment coefficient threshold is obtained from the local database. If the suitable operation coefficient fluctuation assessment coefficients of each measurement area to be analyzed belonging to the measurement drilling well are all greater than the suitable operation coefficient fluctuation assessment coefficient threshold, it is determined that the measurement drilling well has no suitable perforation layer area. Otherwise, it is determined that the measurement drilling well has a suitable perforation layer area.

7. The data processing system for acoustic variable density logging according to claim 6, characterized in that: The specific method for determining whether there is a measurement area to be analyzed in the measurement drilling is as follows: If the numbers of the measured depths to be analyzed belonging to the surveyed well are not connected to each other, it is determined that the surveyed well has no measurement area to be analyzed. Otherwise, the measured depths to be analyzed with connected numbers belonging to the surveyed wells are merged into one target measurement area, thereby screening the target measurement areas belonging to the surveyed wells, obtaining the measured depths to be analyzed in each target measurement area belonging to the surveyed wells, and counting the number of measured depths to be analyzed in each target measurement area belonging to the surveyed wells. A threshold number of measurement depths to be analyzed is obtained from a local database. If the number of measurement depths to be analyzed of each target measurement area belonging to the measurement well is less than the threshold number, it is determined that the measurement well has no measurement area to be analyzed. Otherwise, it is determined that the measurement well has a measurement area to be analyzed.

8. The data processing system for acoustic variable density logging according to claim 6, characterized in that: The specific analysis method of the fluctuation evaluation coefficient of the suitable operation coefficient of each to-be-analyzed measurement area of ​​the analysis measurement drilling is as follows: According to the suitable operating coefficient of each measuring depth of the measuring well, the suitable operating coefficient of each measuring depth of each measuring area to be analyzed belonging to the measuring well is mapped. , where G represents the number of each measurement area to be analyzed, , L is a positive integer greater than 2, T represents the number of each measurement depth of the measurement area to be analyzed, , K is a positive integer greater than 2; Calculate the fluctuation evaluation coefficient of the suitable operation coefficient of each measurement area to be analyzed in the measurement drilling , where K represents the number of measurement depths of the measurement area to be analyzed.

9. A data processing method for a data processing system applicable to acoustic variable density logging according to any one of claims 1 to 8, characterized in that: include: Step 1. Logging data acquisition: using current geological exploration instruments to acquire the temperature value, pressure value, variable density logging diagram of each sound wave, and characteristic values ​​of each logging data at each measuring depth of the measured well; Step 2. Logging data processing: Analyze the appropriate operating coefficient for each measurement depth of the measurement drilling based on the temperature value, pressure value, variable density logging diagram of each sound wave, and characteristic values ​​of each logging data; Step 3. Perforation layer positioning: By measuring the suitable operation coefficient of each measurement depth of the drilling, it is determined whether the measurement drilling has a suitable perforation layer area. If so, the recommended perforation layer areas of the measurement drilling are counted and sent to the drilling manager. If not, the drilling manager is reminded.

Images