Seismic data screening and quality control method and device based on z-score algorithm

Abstract

The present disclosure relates to a seismic data screening and quality control method and device based on a z-score algorithm, wherein the seismic data screening and quality control method based on the z-score algorithm includes: obtaining the seismic data of the work area and its corresponding SPS file; using the data processing range determined by the SPS file and screening the seismic data to obtain quality control data; determining the variance of all sample points of the quality control data; using the z-score algorithm to standardize the quality control data; judging whether the standardized data has surface consistency amplitude imbalance, and whether there are abnormal values ​​greater than the requirements. In order to solve the problem that when screening and quality control processing of seismic data in the past, all seismic data and SPS files need to be loaded into commercial software to establish an observation system, which takes a lot of time and has low timeliness; and the original standardization method is not applicable to seismic data, and abnormal amplitudes cannot be quickly identified.

Description

Technical Field

[0001] The present disclosure relates to the technical field of seismic data processing, and in particular to a seismic data screening and quality control method and device based on a z-score algorithm. Background Art

[0002] According to the regulations of the International Union of Geophysicists, the current standard format and storage standards for seismic data are clearly defined, such as SEGY or SEGD formats. Mainstream commercial seismic data processing software usually takes a certain amount of time to decode the seismic data in the standard format into the internal formats of different commercial processing software before various processing operations can be performed on the data. If the long-term full set of processing procedures does not require the country to consider the time spent on data format conversion, data range sorting and data output, but sometimes the massive data in multiple work areas needs to quickly select a piece of available and reliable original data, that is, data within a certain coordinate range, and perform simple quality control to check whether there are landmark consistency problems and abnormal amplitudes, the requirements for timeliness are very high. In this case, it takes a lot of time to convert the standard format raw seismic data into the internal format of the commercial software, perform amplitude statistics based on all the data to calculate the average value, and then perform quality control and processing of abnormal amplitudes, and output them into the standard format. At the same time, because seismic records are composed of peaks with negative amplitude values, troughs with positive amplitude values, and transition points with amplitude values ​​of 0, the original quality control of abnormal amplitudes of seismic data is to standardize the seismic data to the range of [0,1]. This standardization method is not applicable to seismic data and cannot effectively identify abnormal amplitudes that are out of range. Summary of the invention

[0003] The present invention discloses a method and device for seismic data screening and quality control based on a z-score algorithm to solve the problem that in the past, when screening and quality control of seismic data were performed, all seismic data and SPS files needed to be loaded into commercial software to establish an observation system, which was time-consuming and inefficient; and the original standardized method was not applicable to seismic data and could not quickly identify abnormal amplitudes.

[0004] According to one aspect of the present disclosure, a seismic data screening and quality control method based on a z-score algorithm is provided, comprising:

[0005] Obtain the seismic data of the work area and its corresponding SPS files;

[0006] Confirming the data processing range in the SPS file, screening the seismic data according to the data processing range, and obtaining quality control data;

[0007] Using the variance formula, determining the variance of all sample points of the quality control data;

[0008] According to the variance of all sample points, the quality control data is standardized using a z-score algorithm to obtain standardized quality control data;

[0009] It is determined whether the standardized quality control data has surface consistency amplitude imbalance and whether there are abnormal values ​​greater than a first predetermined percentage of the total number of sample points. If yes, the quality control fails; otherwise, the quality control passes.

[0010] Preferably, before confirming the data processing scope in the SPS file, the method further includes:

[0011] Check whether the SPS file is available, the method comprising:

[0012] Determine whether the coordinate positions of all shot check points in the seismic data correspond correctly to the coordinate positions in the SPS file, and whether the coordinate position distribution of the shot check points is within the maximum coordinate range. If so, the SPS file is available, otherwise it is unavailable.

[0013] Preferably, the method of confirming the data processing range in the SPS file, screening the seismic data according to the data processing range, and obtaining quality control data includes:

[0014] The SPS file at least includes: an X relationship file and an S shot point information file;

[0015] Define four-point coordinates, and select the gun line and gun point information within the four-point coordinates in the S gun point information file;

[0016] According to the gun line and gun point information in the four-point coordinates in the S gun point information file, the field file numbers corresponding to the same gun line and gun point information in the X relationship file are screened out, and all the screened out field file numbers are the data processing range;

[0017] The seismic data is screened according to the field file number to obtain quality control data.

[0018] Preferably, before using the variance formula to determine the variance of all sample points of the quality control data, the method further includes: performing noise removal processing on the quality control data.

[0019] Preferably, the method for performing noise removal processing on the quality control data comprises:

[0020] In the quality control data, the seismic data above the predetermined reflection time corresponding to the first arrival wave at the maximum offset are removed, and the seismic data below the predetermined reflection time to the reflection time of the maximum processing depth are retained as the quality control data.

[0021] Preferably, the variance formula includes:

[0022]

[0023] Where D in =[x1,x2,x3,…,x n ], n is the total number of sample points, x i is the amplitude value of each sample point.

[0024] Preferably, the method of standardizing the quality control data according to the variance of all sample points using a z-score algorithm to obtain the standardized quality control data comprises:

[0025] According to the variance, the standardized quality control data is calculated using the z-score calculation formula;

[0026] The z-score calculation formula includes:

[0027]

[0028] In the formula, x i is the amplitude value of each sample point, is the average amplitude of all sample points, σ(D in ) is the variance of the input data;

[0029] Among them, in formula (2) The value of is 0.

[0030] Preferably, the method for determining whether the standardized quality control data has surface consistency amplitude imbalance includes:

[0031] If, in the standardized quality control data, the difference between the amplitude energies of different single shots on the same shot line is greater than the second predetermined percentage of the average amplitude value of the shot line, then the standardized quality control data has surface consistent amplitude imbalance; otherwise, there is no surface consistent amplitude imbalance.

[0032] According to one aspect of the present disclosure, a seismic data screening and quality control device based on a z-score algorithm is provided, comprising:

[0033] An acquisition unit is used to acquire the seismic data of the work area and its corresponding SPS file;

[0034] A screening unit, used for confirming a data processing range in the SPS file, screening the seismic data according to the data processing range, and obtaining quality control data;

[0035] A variance determination unit, used to determine the variance of all sample points of the quality control data using a variance formula;

[0036] A standardization unit, used to standardize the quality control data according to the variance of all sample points using a z-score algorithm to obtain standardized quality control data;

[0037] The judging unit is used to judge whether the standardized quality control data has surface consistency amplitude imbalance and whether there are abnormal values ​​greater than a first predetermined percentage of the total number of sample points. If yes, the quality control fails; otherwise, the quality control passes.

[0038] The present invention has at least the following beneficial effects:

[0039] The present disclosure proposes a seismic data screening and quality control method and device based on the z-score algorithm. There is no need to change the original format of the seismic data. By determining the data processing range in its corresponding SPS file, the seismic data to be processed can be quickly screened; the seismic data to be quality controlled is standardized to the range of [-1,1] through the z-score algorithm, and the value of 0 is directly set as the average value, so that the standardized seismic data can have physical meaning, and abnormal amplitudes beyond the range can be quickly identified. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used to illustrate the technical solutions of the present disclosure together with the specification.

[0041] Figure 1 A flow chart of a seismic data screening and quality control method based on a z-score algorithm according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0042] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0043] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0044] The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C can represent including any one or more elements selected from the set consisting of A, B, and C.

[0045] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.

[0046] Figure 1 FIG. 1 is a flow chart showing a method for seismic data screening and quality control based on a z-score algorithm according to an embodiment of the present disclosure. Figure 1 As shown, the seismic data screening and quality control method based on the z-score algorithm includes: step S01: obtaining the seismic data of the work area and the corresponding SPS file; step S02: confirming the data processing range in the SPS file, screening the seismic data according to the data processing range, and obtaining quality control data; step S03: using the variance formula to determine the variance of all sample points of the quality control data; step S04: using the z-score algorithm according to the variance of all sample points, standardizing the quality control data to obtain standardized quality control data; step S05: judging whether the standardized quality control data has surface consistency amplitude imbalance, and whether there are abnormal values ​​greater than or equal to the first predetermined percentage of the total number of sample points, if yes, the quality control fails, otherwise, the quality control passes.

[0047] The seismic data screening and quality control method based on the z-score algorithm provided in the embodiment of the present invention specifically includes the following steps:

[0048] Step S01: Obtain the seismic data of the work area and its corresponding SPS file.

[0049] In the disclosed embodiment, SPS (Shell Processing Support Format for Land 3D Surveys) is an internationally accepted standard format. China National Petroleum Corporation issued the "SPS Format for Land 3D Seismic Exploration Auxiliary Data" standard (SY / T 6290-1997) (hereinafter referred to as the "SPS Standard") in 1997, and implemented it as the standard of my country's petroleum and natural gas industry in the national industry. The SPS format file mainly includes: X relationship file, S shot point information file and R detection point information file; when processing seismic data, all seismic data of the work area and the corresponding SPS file are read into the computer memory, and subsequent operations are directly performed on the read seismic data and SPS file.

[0050] In the present disclosure, before confirming the data processing range in the SPS file, it also includes: checking whether the SPS file is available, and the method includes: judging whether the correspondence between the coordinate positions of all shot check points in the seismic data and the coordinate positions in the SPS file is correct, and whether the distribution of the coordinate positions of the shot check points is within the maximum coordinate range. If so, the SPS file is available, otherwise it is unavailable.

[0051] In an embodiment of the present disclosure, a method for determining whether the corresponding relationship between the coordinate positions of all shot check points in seismic data and the coordinate positions in an SPS file is correct includes: determining whether the shape of each shot recorded in a single shot in the seismic data and in an X-relationship file of the SPS file conforms to a hyperbolic feature, and whether there is a missing shot or a repeated shot phenomenon; if the hyperbolic feature is conformed to, and there is no missing shot or repeated shot phenomenon, then it is indicated that the SPS file is available; if any coordinate of the shot check point does not conform to the coordinate that should be in the X-file, or the coordinates of the shot check point are distributed outside the maximum coordinate range, then it is indicated that the acquired SPS file is unavailable, and it is necessary to reacquire a correct SPS file.

[0052] Step S02: confirming the data processing range in the SPS file, and screening the seismic data according to the data processing range to obtain quality control data.

[0053] In the present disclosure, the method of confirming a data processing range in the SPS file, screening the seismic data according to the data processing range, and obtaining quality control data includes: the SPS file at least includes: an X relationship file and an S shot point information file; defining four-point coordinates, selecting shot lines and shot point information within the four-point coordinates in the S shot point information file; screening out field file numbers corresponding to the same shot lines and shot point information in the X relationship file according to the shot lines and shot point information within the four-point coordinates in the S shot point information file, and all the screened field file numbers are the data processing range; screening the seismic data according to the field file numbers to obtain quality control data.

[0054] In the disclosed embodiment, the seismic data processing range needs to be determined before quality control is performed, and the seismic data processing range needs to be selected through X and Y coordinates; the coordinate information of the seismic data is stored in the S shot point information file.

[0055] In the disclosed embodiment, four-point coordinates are defined, and the four-point coordinates are the data range to be processed; the method of selecting the gun line and gun point information within the four-point coordinates in the S gun point information file includes: reading the gun line, gun point number and X, Y coordinate data in the S gun point information file into the f1 file, and selecting the gun line and gun point number corresponding to the X, Y coordinates within the four-point coordinate range in the f1 file into the f2 file.

[0056] In the disclosed embodiment, according to the shot line and shot point information in the four-point coordinates in the S shot point information file, the method for screening out the field file number corresponding to the same shot line and shot point information in the X relationship file includes: reading the shot line, shot point number and field file number in the X relationship file into the f3 file; selecting the field file number corresponding to the shot line and shot point number in the f3 file that is the same as the shot line and shot point number in the f2 file into the f4 file. At this time, the field file number in the f4 file is the field file number corresponding to the seismic data in the four-point coordinates, that is, the data processing range of the seismic data.

[0057] In an embodiment of the present disclosure, the method for obtaining quality control data by screening the seismic data according to the field file number includes: using the field file number in the f4 file, screening out the seismic data corresponding to the same field file number as that in the f4 file as quality control data.

[0058] The same shot line and shot point number are stored in the S shot point information file and the X relationship file, and the same field file number is stored in the X relationship file and the seismic data. Through the field file number, the seismic data within the processing range can be screened out from the seismic data, that is, the seismic data corresponding to the four-point coordinates.

[0059] The present disclosure determines the data processing range, i.e., the four-point coordinate range, through the coordinate information in the S shot point information in the SPS file, and then selects the field file number within the four-point coordinates through the same shot line and shot point information in the S shot point information file and the X relationship file, and finally selects the seismic data within the four-point coordinates as the quality control data according to the same field file number in the seismic data and the X relationship file. Through the correspondence between the SPS file and the seismic data, the seismic data can be quickly screened without directly screening and format conversion of all the seismic data, and the screening time can be shortened to a few minutes.

[0060] Step S03: using the variance formula to determine the variance of all sample points of the quality control data.

[0061] In the present disclosure, before using the variance formula to determine the variance of all sample points of the quality control data, the method further includes: performing noise removal processing on the quality control data.

[0062] In the present disclosure, the method for performing noise removal processing on the quality control data includes: in the quality control data, removing the seismic data above the predetermined reflection time corresponding to the first arrival wave at the maximum offset distance, and retaining the seismic data at the reflection time below the predetermined reflection time to the maximum processing depth as the quality control data.

[0063] In the disclosed embodiment, the predetermined reflection time is 100ms. In the seismic data, the seismic wave that first arrives at the observation point is the first arrival wave. The waves generated by vibration before the arrival of the first arrival wave are noise and need to be removed. The range of removal is to remove the seismic data with a reflection time of more than 100ms corresponding to the first arrival wave at the maximum offset in the quality control data, and retain the part with a reflection time of less than 100ms to the maximum processing depth required in the geological requirements.

[0064] In the present disclosure, the variance formula includes:

[0065]

[0066] Where D in =[x1,x2,x3,…,x n ], n is the total number of sample points, x i is the amplitude value of each sample point.

[0067] In the embodiment of the present disclosure, the amplitude value of each sample point and the total number of sample points in the quality control data are respectively substituted into the above variance formula, so as to calculate the corresponding variance of each sample point in the quality control data.

[0068] Step S04: According to the variance of all sample points, the quality control data is standardized using a z-score algorithm to obtain standardized quality control data.

[0069] In the present disclosure, the method of obtaining standardized quality control data by standardizing the quality control data using the z-score algorithm according to the variance of all sample points includes: obtaining the standardized quality control data by calculating the z-score calculation formula according to the variance; wherein the z-score calculation formula includes:

[0070]

[0071] In the formula, x i is the amplitude value of each sample point, is the average amplitude of all sample points, σ(D in ) is the variance of the input data; where, in formula (2) The value of is 0.

[0072] In the embodiment of the present disclosure, the z-score algorithm requires two values, the mean and the variance, to perform the normalization calculation. According to the amplitude mean of all the sample points, the amplitude value x of each sample point in the quality control data is calculated. i , and the variance of each sample point calculated by formula (1) is brought into formula (2) to obtain the standardized data corresponding to each sample point; wherein, during the calculation, the amplitude average value of all sample points is If it is set to 0, the output data after normalization by the z-score algorithm is:

[0073]

[0074] In formula (3), x is the amplitude value of the sample point. Most of the sample points are distributed between [-1, 1]. All the sample points with a value less than -1 are replaced by -1, and all the sample points with a value greater than 1 are replaced by 1. The z-score standardization of the quality control data is completed, and the standardized quality control data is obtained.

[0075] The z-score algorithm is used to quickly standardize the amplitude values ​​of seismic traces. According to the particularity of seismic records, the amplitude average value is directly set to 0, so that the standardized amplitude value (between [-1, 1]) can be quickly obtained without a lot of time-consuming calculation of the amplitude average value. The overflow data is directly replaced with -1 or 1, which facilitates the subsequent quality control of the seismic data to determine whether there are surface consistency problems and abnormal amplitudes.

[0076] Step S05: Determine whether the standardized quality control data has surface consistency amplitude imbalance, and whether there are abnormal values ​​greater than a first predetermined percentage of the total number of sample points. If yes, the quality control fails, otherwise, the quality control passes.

[0077] In the present disclosure, a method for determining whether the standardized quality control data has surface consistent amplitude imbalance includes: if, in the standardized quality control data, the difference between the amplitude energies of different single shots on the same shot line is greater than a second predetermined percentage of the average amplitude value of the shot line, then the standardized quality control data has surface consistent amplitude imbalance; otherwise, there is no surface consistent amplitude imbalance.

[0078] In the disclosed embodiment, the second predetermined percentage is 50%. In the absence of special geological or acquisition reasons for the seismic data, the energy levels should be basically similar; in the standardized quality control data, if the difference between the energy of a single shot on the same shot line is greater than 50% of the average amplitude value of the shot line, it is considered that there is surface consistency amplitude imbalance in the quality control data.

[0079] In the embodiment of the present disclosure, the first predetermined percentage is 1%; wherein the outliers are values ​​with amplitudes of -1 and 1 that exist in the standardized data. If the number of amplitude values ​​of -1 and 1 in the standardized quality control data is too large, it means that there are too many outliers in the seismic data and the quality control fails. That is, if the number of sample points with amplitude values ​​of -1 and 1 in the standardized quality control data exceeds 1% of the total number of sample points, there are too many outliers in the quality control data.

[0080] If there is surface consistency amplitude imbalance in the standardized quality control data, or the number of outlier sample points exceeds the second predetermined percentage of the total number of sample points, the quality control data fails the quality control; if there is no surface consistency imbalance and the number of outlier sample points does not exceed the second predetermined percentage of the total number of sample points, the quality control passes.

[0081] The execution subject of the seismic data screening and quality control method based on the z-score algorithm can be a seismic data screening and quality control device based on the z-score algorithm. For example, the seismic data screening and quality control method based on the z-score algorithm can be executed by a terminal device or a server or other processing device, wherein the terminal device can be a user equipment (User Equipment, UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. In some possible implementations, the seismic data screening and quality control method based on the z-score algorithm can be implemented by a processor calling a computer-readable instruction stored in a memory.

[0082] It can be understood that the above-mentioned various method embodiments mentioned in the present disclosure can be combined with each other to form a combined embodiment without violating the principle logic. Due to space limitations, the present disclosure will not go into details.

[0083] Those skilled in the art will appreciate that, in the above method of specific implementation, the order in which the steps are written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of the steps should be determined by their functions and possible internal logic.

[0084] The present disclosure also proposes a seismic data screening and quality control device based on the z-score algorithm, comprising: an acquisition unit, used to acquire the seismic data of a work area and its corresponding SPS file; a screening unit, used to confirm the data processing range in the SPS file, and screen the seismic data according to the data processing range to obtain quality control data; a variance determination unit, used to determine the variance of all sample points of the quality control data using a variance formula; a standardization unit, used to standardize the quality control data according to the variance of all sample points using the z-score algorithm to obtain standardized quality control data; a judgment unit, used to judge whether the standardized quality control data has surface consistency amplitude imbalance, and whether there are abnormal values ​​greater than a first predetermined percentage of the total number of sample points. If so, the quality control fails, otherwise, the quality control passes.

[0085] In some embodiments, the functions or modules and units included in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments. For the sake of brevity, it will not be repeated here.

[0086] The present disclosure proposes a seismic data screening and quality control method and device based on the z-score algorithm, which has the advantages of high processing timeliness, and can quickly realize the efficient screening and quality control of data within a certain coordinate range in the massive data of multiple work areas. There is no need to convert all the massive seismic data and SPS files into formats and load them into the commercial processing software system and then establish an observation system. The read-in SPS files and seismic data can be directly processed and screened externally; through two SPS files, the data within the required coordinate range is selected and processed with high timeliness, and the data is directly screened by matching the seismic data, so as to obtain seismic data in a standard format within the coordinate range of the target area. According to the particularity of seismic records, the present disclosure standardizes seismic data to the range of [-1,1] through the z-score algorithm, and directly sets the value 0 as the amplitude average value during calculation, so that a large amount of machine time is not required to calculate the average value, and the standardized results can not only make the data have physical meaning, but also quickly identify abnormal amplitudes beyond the range.

[0087] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A seismic data screening and quality control method based on z-score algorithm, characterized in that: include: Obtain the seismic data of the work area and its corresponding SPS files; Confirming a data processing range in the SPS file, screening the seismic data according to the data processing range, and obtaining quality control data, the method comprising: The SPS file at least includes: an X relationship file and an S shot point information file; Define four-point coordinates, and select the gun line and gun point information within the four-point coordinates in the S gun point information file; According to the gun line and gun point information in the four-point coordinates in the S gun point information file, the field file numbers corresponding to the same gun line and gun point information in the X relationship file are screened out, and all the screened out field file numbers are the data processing range; Screening the seismic data according to the field file number to obtain quality control data; Using the variance formula, determining the variance of all sample points of the quality control data; According to the variance of all sample points, the quality control data is standardized using a z-score algorithm to obtain standardized quality control data; It is determined whether the standardized quality control data has surface consistency amplitude imbalance and whether there are abnormal values ​​greater than a first predetermined percentage of the total number of sample points. If yes, the quality control fails; otherwise, the quality control passes.

2. The seismic data screening and quality control method based on the z-score algorithm according to claim 1, characterized in that: Before confirming the data processing scope in the SPS file, it also includes: Check whether the SPS file is available, the method comprising: Determine whether the coordinate positions of all shot check points in the seismic data correspond correctly to the coordinate positions in the SPS file, and whether the coordinate position distribution of the shot check points is within the maximum coordinate range. If so, the SPS file is available, otherwise it is unavailable.

3. The seismic data screening and quality control method based on the z-score algorithm according to claim 1, characterized in that: Before using the variance formula to determine the variance of all sample points of the quality control data, the method further includes: performing noise removal processing on the quality control data.

4. The seismic data screening and quality control method based on the z-score algorithm according to claim 3, characterized in that: The method for performing noise removal processing on the quality control data comprises: In the quality control data, the seismic data above the predetermined reflection time corresponding to the first arrival wave at the maximum offset are removed, and the seismic data below the predetermined reflection time to the reflection time of the maximum processing depth are retained as the quality control data.

5. The seismic data screening and quality control method based on the z-score algorithm according to claim 1, characterized in that: The variance formula includes: Where D in =[x1,x2,x3,…,x n ], n is the total number of sample points, x i is the amplitude value of each sample point.

6. The seismic data screening and quality control method based on the z-score algorithm according to claim 1, characterized in that: The method of standardizing the quality control data according to the variance of all sample points using a z-score algorithm to obtain standardized quality control data includes: According to the variance, the standardized quality control data is calculated using the z-score calculation formula; The z-score calculation formula includes: In the formula, x i is the amplitude value of each sample point, is the average amplitude of all sample points, σ(D in ) is the variance of the input data; Among them, in formula (2) The value of is 0.

7. The seismic data screening and quality control method based on the z-score algorithm according to any one of claims 1 to 6, characterized in that: The method for determining whether the standardized quality control data has surface consistency amplitude imbalance includes: If, in the standardized quality control data, the difference between the amplitude energies of different single shots on the same shot line is greater than the second predetermined percentage of the average amplitude value of the shot line, then the standardized quality control data has surface consistent amplitude imbalance; otherwise, there is no surface consistent amplitude imbalance.

8. A seismic data screening and quality control device based on z-score algorithm, characterized in that: include: An acquisition unit is used to acquire the seismic data of the work area and its corresponding SPS file; A screening unit is used to confirm the data processing range in the SPS file, screen the seismic data according to the data processing range, and obtain quality control data, and the method includes: the SPS file at least includes: an X relationship file and an S shot point information file; define four-point coordinates, and select the shot line and shot point information within the four-point coordinates in the S shot point information file; according to the shot line and shot point information within the four-point coordinates in the S shot point information file, screen out the field file number corresponding to the same shot line and shot point information in the X relationship file, and all the screened field file numbers are the data processing range; screen the seismic data according to the field file number to obtain quality control data; A variance determination unit, used to determine the variance of all sample points of the quality control data using a variance formula; A standardization unit, used to standardize the quality control data according to the variance of all sample points using a z-score algorithm to obtain standardized quality control data; The judging unit is used to judge whether the standardized quality control data has surface consistency amplitude imbalance and whether there are abnormal values ​​greater than a first predetermined percentage of the total number of sample points. If yes, the quality control fails; otherwise, the quality control passes.

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