GPR node rapid quality control method, apparatus and device, and readable medium

Abstract

The invention discloses a rapid quality control method for a GPR node. The method comprises the following steps: acquiring seismic data of the GPR node; segmenting the seismic data to obtain a plurality of data channels, calculating a sampling point of each data channel to obtain a root mean square value file, converting the root mean square value file into an image, and finding out an abnormal condition to perform RMS quality control; checking node multi-azimuth angle change values recorded by a node trace head to carry out form angle quality control; extracting a drift amount from the seismic data to generate a text file so as to perform clock drift quality control; and calculating an actual seismic record channel number based on the seismic data, calculating an expected seismic record channel number based on the node record data, and comparing the data to perform data integrity quality control. The invention further discloses a GPR node rapid quality control device, computer equipment and a readable storage medium. According to the invention, rapid quality control of the node is realized, the faulted node is replaced in time, the bad track rate of the field data acquisition node is reduced, and finally the purposes of improving the quality of the acquired data and improving the operation efficiency are achieved.

Description

Technical Field

[0001] The present invention relates to the field of offshore seismic exploration technology, and in particular to a GPR node rapid quality control method, device, equipment and readable medium. Background Art

[0002] With the continuous development of marine geophysical exploration technology and equipment, major oil companies are increasingly demanding higher data quality. Acquisition modes are evolving towards wide-azimuth, wide-bandwidth, and high-density data, resulting in a continuous increase in seismic data volumes. Compared to traditional acquisition equipment, seafloor nodes offer self-storage and self-powered data, making them more flexible to deploy and recycle, adapting to complex construction environments. They are increasingly favored by geophysical exploration companies. The GPR (Geophysical Point Recorder) seafloor node, a new four-component seafloor node, meets the latest industry requirements, boasting a data recording endurance of up to 60 days, digital fidelity, and ultra-quiet performance. GPR seafloor nodes have been fully deployed for the first time on the ADNOC TZ project. To ensure operational efficiency, seafloor nodes are typically retrieved after completing an acquisition mission. After recharging, data downloading, and clock calibration, they need to be redeployed to the seafloor for the next acquisition mission. This presents a challenge for on-site quality control personnel in quickly and effectively performing seafloor node quality control. Existing on-site GPR node quality control methods suffer from latency, making it difficult to determine the quality of nodes about to be released, resulting in low efficiency.

[0003] Therefore, there is a need in the prior art for improving the rapid quality control method of GPR nodes. Summary of the Invention

[0004] In view of this, the purpose of an embodiment of the present invention is to propose a rapid quality control method for GPR nodes, which extracts and calculates the node seismic data, performs multi-dimensional quality control on the data based on the calculation results and image recognition, and quickly determines the current working status of the node, improves work efficiency, and ensures the integrity rate of the released node.

[0005] Based on the above objectives, an embodiment of the present invention provides a method for rapid quality control of GPR nodes, including the following steps:

[0006] Get seismic data from GPR nodes;

[0007] The seismic data is segmented to obtain multiple data channels. The RMS value file is calculated for the sampling points of each data channel. The RMS value file is converted into an image to find abnormalities for RMS quality control.

[0008] Check the node multi-directional angle change values ​​recorded in the node header to perform morphological angle quality control;

[0009] Extract drift from seismic data to generate text files for clock drift quality control;

[0010] The actual number of seismic recording channels is calculated based on the seismic data, and the expected number of seismic recording channels is calculated based on the start and end times in the node recording data. The actual number of seismic recording channels and the expected number of seismic recording channels are compared to perform data integrity quality control.

[0011] In some embodiments, the method further comprises: generating an alarm message in response to any one of the quality control abnormalities among the RMS quality control, the morphology quality control, the clock drift quality control, and the data integrity quality control.

[0012] In some implementations, calculating the root mean square value file for each sampling point of each data channel includes:

[0013] Get the number of sampling points n and the amplitude x of the sampling points based on the formula

[0014]

[0015] The root mean square value file is calculated for the sampling points of each data channel.

[0016] In some embodiments, converting the root mean square value file into an image to find abnormalities for performing RMS quality control includes:

[0017] If a blank lane appears in the image, it will be output as missing node data in the RMS quality control.

[0018] If an abnormally large amplitude value appears in the image compared to adjacent nodes, it will be output as a suspected abnormal channel in the RMS quality control.

[0019] In some embodiments, checking the node multi-azimuth angle change values ​​recorded in the node header to perform morphological angle quality control includes:

[0020] Check the pitch, row, and yaw angle values ​​in the node header record and determine whether there are any abnormal angle values ​​in the node during continuous recording to perform morphological angle quality control.

[0021] In some embodiments, calculating the actual number of seismic traces based on seismic data includes:

[0022] The actual number of seismic record channels is calculated based on the SEGD data header information of the valid seismic records output in the seismic data.

[0023] Another aspect of the present invention provides a rapid quality control device for a GPR node, including:

[0024] a data acquisition module configured to acquire seismic data from a GPR node;

[0025] An RMS quality control module is configured to segment seismic data to obtain multiple data channels, calculate the root mean square value file for the sampling points of each data channel, and convert the root mean square value file into an image to find abnormal conditions for RMS quality control;

[0026] The morphological angle quality control module is configured to check the node multi-directional angle change values ​​recorded in the node header to perform morphological angle quality control;

[0027] A clock drift quality control module is configured to extract drift values ​​from seismic data and generate text files for clock drift quality control;

[0028] The integrity quality control module is configured to calculate the actual number of seismic record channels based on the seismic data, calculate the expected number of seismic record channels based on the start and end times in the node record data, and compare the actual number of seismic record channels with the expected number of seismic record channels to perform data integrity quality control.

[0029] In some embodiments, the apparatus further comprises:

[0030] The alarm module is configured to generate an alarm message in response to any quality control anomaly among RMS quality control, morphology quality control, clock drift quality control and data integrity quality control.

[0031] In another aspect of an embodiment of the present invention, a computer device is provided, comprising: at least one processor; and a memory, wherein the memory stores computer instructions that can be executed on the processor, and the instructions implement the steps of the above method when executed by the processor.

[0032] According to another aspect of the embodiments of the present invention, a computer-readable storage medium is provided, which stores a computer program that implements the above method steps when executed by a processor.

[0033] The present invention has at least the following beneficial technical effects:

[0034] The present invention can read the amplitude root mean square, underwater morphological angle, data recording time, clock drift and other data recorded in the seismic data downloaded by the GPR node, and generate relevant quality control results. By judging these results, the working status of the node can be quickly obtained, thereby achieving rapid quality control of the GPR node, improving the previous method of quality control of various indicators only during data processing, and shortening the quality control time of the GPR node from 3 to 4 days before the invention to within 1 day after the invention. Through the implementation of the present invention, faulty GPR nodes can be replaced in a timely manner, reducing the bad track rate of field data collection nodes, and ultimately achieving the purpose of improving the quality of collected data and improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] 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 embodiments can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 A schematic diagram of an embodiment of the GPR node rapid quality control method provided by the present invention;

[0037] Figure 2 A schematic diagram of a data image generated based on an amplitude root mean square file provided by the present invention;

[0038] Figure 3 A schematic diagram of an embodiment of a GPR node rapid quality control device provided by the present invention;

[0039] Figure 4 A schematic diagram of an embodiment of a computer device provided by the present invention;

[0040] Figure 5 A schematic diagram of an embodiment of a computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0041] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the embodiments of the present invention are further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0042] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are for distinguishing two non-identical entities with the same name or non-identical parameters. It can be seen that "first" and "second" are only for the convenience of expression and should not be understood as limitations on the embodiments of the present invention. Subsequent embodiments will not explain this one by one.

[0043] In the actual work of marine seismic exploration, in order to ensure that the node units can work normally before collecting data, field workers need to carry a notebook to collect quality control data from the dispersed node unit array. After all the quality control data are collected, the quality control data are transmitted to the CSC host. The operator performs quality inspection on the quality control data on the CSC host. When all the quality control data are qualified, the seismic data collected by the node unit is valid data. In this process, if the quality control data cannot be collected and qualified at one time, the field workers must carry a notebook back to the field node unit array and re-collect the node units where the unqualified quality control data are located. Depending on the terrain of the construction site, the time it takes for the field workers to travel back and forth to the node unit array by instrument vehicle is also different. In plain areas, the average time for a single round trip is more than 30 minutes. In mountainous loess plateau areas, the average time for a single round trip is more than 60 minutes. This greatly increases the waiting time for collecting quality control data, and also increases the safety risks brought by the quality control data collectors riding in vehicles. There is a need for a fast and efficient quality control method in the prior art.

[0044] Based on the above objectives, a first aspect of the embodiments of the present invention provides an embodiment of a rapid quality control method for GPR nodes. Figure 1 FIG. 1 is a flow chart of an embodiment of a GPR node rapid quality control method provided by the present invention. Figure 1 As shown, the GPR node rapid quality control method of an embodiment of the present invention includes:

[0045] Get the seismic data of the GPR node,

[0046] The seismic data is segmented to obtain multiple data channels. The root mean square value file is calculated for the sampling points of each data channel. Based on the conversion of the root mean square value file into an image, anomalies are found for RMS (root mean square value) quality control.

[0047] Check the node multi-directional angle change values ​​recorded in the node header to perform morphological angle quality control;

[0048] Extract drift from seismic data to generate text files for clock drift quality control;

[0049] The actual number of seismic recording channels is calculated based on the seismic data, and the expected number of seismic recording channels is calculated based on the start and end times in the node recording data. The actual number of seismic recording channels and the expected number of seismic recording channels are compared to perform data integrity quality control.

[0050] In this embodiment, the method further includes: generating an alarm message in response to any one of the quality control abnormalities among the root mean square value quality control, the morphology quality control, the clock drift quality control, and the data integrity quality control.

[0051] Furthermore, seismic data from GPR nodes is acquired and the SEGD data, including the root mean square amplitude, underwater morphological angle, recording time, and clock drift, is read to perform quality control on these indicators. SEGD files are a seismic data recording format widely used for recording and processing seismic data. SEG-D files contain seismic trace data, which are seismic wave signals recorded by geophones during seismic exploration. Each seismic trace corresponds to a specific seismic signal, and SEG-D files organize and store this seismic trace data.

[0052] Furthermore, for the RMS quality control of amplitude, the continuous seismic record of SEGD data is segmented to obtain multiple data channels, each of which is 1 minute long. All sampling points in each channel are calculated using the following formula:

[0053]

[0054] The text file of the amplitude root mean square value is obtained and displayed graphically according to the channel number. It can quickly find the abnormal amplitude situation of each node in the entire recording process, such as zero amplitude, abnormally large amplitude, weak channel situation, etc. Figure 2 The image is a data image generated based on the amplitude root mean square file, wherein the conversion of the root mean square value file into an image to find abnormalities for RMS quality control includes:

[0055] If a blank lane appears in the image, it will be output as missing node data in the RMS quality control.

[0056] If an abnormally large amplitude value appears in the image compared to adjacent nodes, it will be output as a suspected abnormal channel in the RMS quality control.

[0057] Furthermore, the underwater morphology angles recorded by GPR nodes are quality-controlled: Due to the complex seabed environment, nodes inevitably experience azimuth changes on the seabed. By checking the pitch, row, and yaw angle values ​​recorded in the GPR node header, we can determine whether the node has any abnormal angle values ​​during the continuous recording process and determine whether the node is operating normally. If abnormal angle values ​​are found in this file, they can be discovered and replaced before the node is sent to the field.

[0058] Furthermore, GPR node clock drift quality control: a text file is generated by extracting the drift amount in the SEGD data. Checking this file can quickly determine whether the node clock drift is abnormal.

[0059] Furthermore, GPR node data integrity quality control: During the node recording process, due to the influence of the seabed environment or internal node component failure, recording may stop for a period of time, resulting in the loss of some seismic records. The actual number of seismic recording channels can be calculated based on the output valid seismic record SEGD data header information. The expected number of seismic recording channels can be calculated by calculating the start and end times of the node recording data. By comparing the two data, it is possible to quickly determine whether the node recording status is normal.

[0060] The following uses an OBN seismic exploration project that uses GPR nodes for data acquisition as an example to illustrate the specific implementation method.

[0061] GPR nodes are being fully utilized in the ADNOC Transition Zone Seismic Exploration Project, a subsidiary of the Marine Geophysical Exploration Company. Initially, GPR node quality control was performed during the processing of SEGD data after downloading. The results of this quality control were used to determine the node's operating status. To reduce the bad track rate of GPR nodes collecting data, nodes with abnormal operating conditions were identified for repair and testing based on the quality control results. This process takes three to four days, and by then, the abnormally operating nodes have already been sent back to the field and deployed. They can only be replaced, repaired, and tested after being stored again. This slows down the replacement of problematic nodes and increases the bad track rate.

[0062] The application of the rapid quality control function of the GPR node of the present invention can directly read the amplitude root mean square, underwater morphological angle, data recording time, clock drift and other data recorded by the SEGD data downloaded by the GPR node, and generate relevant quality control results. By judging these results, the working status of the node can be quickly obtained, thereby achieving rapid quality control of the GPR node. Before the node is sent to the field, the node with abnormal status is selected to avoid the re-laying of the problematic node, which can effectively reduce the node bad track rate during the seismic exploration process and thus improve the quality of seismic exploration data. The application of rapid quality control of the GPR node has effectively guaranteed the smooth, efficient and high-quality construction of the transition zone seismic exploration project of the marine geophysical exploration branch ADNOC.

[0063] It should be pointed out in particular that the various steps in the various embodiments of the above-mentioned GPR node rapid quality control method can be cross-linked, replaced, added, and deleted with each other. Therefore, these reasonable permutations, combinations, and transformations of the GPR node rapid quality control method should also fall within the scope of protection of the present invention, and the scope of protection of the present invention should not be limited to the embodiments.

[0064] Based on the above objectives, a second aspect of an embodiment of the present invention provides a rapid quality control device for GPR nodes. Figure 3The diagram shows an embodiment of the GPR node rapid quality control device provided by the present invention. Figure 3 As shown, the GPR node rapid quality control device according to the embodiment of the present invention includes the following modules:

[0065] A data acquisition module 011 is configured to acquire seismic data of a GPR node;

[0066] The RMS quality control module 012 is configured to segment the seismic data to obtain multiple data channels, calculate the root mean square value file for the sampling points of each data channel, and convert the root mean square value file into an image to find abnormal conditions for RMS quality control;

[0067] The morphological angle quality control module 013 is configured to check the node multi-azimuth angle change values ​​recorded in the node header to perform morphological angle quality control;

[0068] The clock drift quality control module 014 is configured to extract the drift amount from the seismic data and generate a text file for clock drift quality control;

[0069] The integrity quality control module 015 is configured to calculate the actual number of seismic record channels based on the seismic data, calculate the expected number of seismic record channels based on the start and end times in the node record data, and compare the actual number of seismic record channels with the expected number of seismic record channels to perform data integrity quality control.

[0070] Furthermore, the device further comprises:

[0071] The alarm module is configured to generate an alarm message in response to any quality control anomaly among the root mean square value quality control, morphology quality control, clock drift quality control and data integrity quality control.

[0072] Based on the above objectives, a third aspect of an embodiment of the present invention provides a computer device. Figure 4 FIG. 1 is a schematic diagram of an embodiment of a computer device provided by the present invention. Figure 4 As shown, the computer device of the embodiment of the present invention includes the following devices: at least one processor 021; and a memory 022, the memory 022 stores computer instructions 023 that can be run on the processor, and the instructions implement the steps of the above method when executed by the processor.

[0073] The present invention also provides a computer-readable storage medium. Figure 5 FIG. 1 is a schematic diagram of an embodiment of a computer-readable storage medium provided by the present invention. Figure 5 As shown, the computer-readable storage medium 031 stores a computer program 032 that performs the above method when executed by a processor.

[0074] Finally, it should be noted that those skilled in the art will understand that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The program for the GPR node rapid quality control method can be stored in a computer-readable storage medium. When executed, the program can include the processes of the above-described method embodiments. The storage medium for the program can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM). The above-described computer program embodiments can achieve the same or similar effects as any of the corresponding aforementioned method embodiments.

[0075] In addition, the method disclosed in the embodiment of the present invention can also be implemented as a computer program executed by a processor, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the above functions defined in the method disclosed in the embodiment of the present invention are performed.

[0076] In addition, the above method steps and system units can also be implemented using a controller and a computer-readable storage medium for storing a computer program that enables the controller to implement the above steps or unit functions.

[0077] It will also be appreciated by those skilled in the art that the various exemplary logic blocks, modules, circuits and algorithmic steps described in conjunction with the disclosure herein can be implemented as electronic hardware, computer software or a combination of the two. In order to clearly illustrate this interchangeability of hardware and software, a general description has been given of the functions of various schematic components, blocks, modules, circuits and steps. Whether this function is implemented as software or hardware depends on specific applications and the design constraints imposed on the entire system. Those skilled in the art can implement the function in various ways for each specific application, but this implementation decision should not be interpreted as causing a departure from the disclosed scope of the embodiments of the present invention.

[0078] In one or more exemplary designs, the function can be implemented in hardware, software, firmware or any combination thereof. If implemented in software, the function can be stored as one or more instructions or codes on a computer-readable medium or transmitted via a computer-readable medium. Computer-readable media include computer storage media and communication media, and the communication media include any media that helps to transmit a computer program from one location to another. The storage medium can be any available medium that can be accessed by a general or special-purpose computer. As an example and not limitation, the computer-readable medium can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage devices, magnetic disk storage devices or other magnetic storage devices, or any other medium that can be used to carry or store the required program code in the form of an instruction or data structure and can be accessed by a general or special-purpose computer or a general or special-purpose processor. In addition, any connection can be appropriately referred to as a computer-readable medium. For example, if a coaxial cable, optical fiber cable, twisted pair, digital subscriber line (DOL) or wireless technologies such as infrared, radio and microwaves are used to send software from a website, server or other remote source, the above-mentioned coaxial cable, optical fiber cable, twisted pair, DOL or wireless technologies such as infrared, radio and microwaves are all included in the definition of medium. As used herein, disk and disc include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk, and Blu-ray disc, where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0079] The above are exemplary embodiments disclosed in the present invention, but it should be noted that various changes and modifications may be made without departing from the scope of the embodiments disclosed in the claims. The functions, steps and / or actions of the method claims according to the disclosed embodiments described herein do not need to be performed in any particular order. In addition, although the elements disclosed in the embodiments of the present invention may be described or required in individual form, they may also be understood as multiple unless expressly limited to the singular.

[0080] It should be understood that, as used herein, the singular forms "a" and "an" are intended to include the plural forms as well, unless the context clearly supports an exception. It should also be understood that, as used herein, "and / or" is intended to include any and all possible combinations of one or more of the associated listed items.

[0081] The serial numbers of the embodiments disclosed in the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0082] Those skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware, or may be accomplished by a program instructing the relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk, or an optical disk, etc.

[0083] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the disclosure of the embodiments of the present invention (including the claims) is limited to these examples. Within the spirit of the embodiments of the present invention, the technical features of the above embodiments or different embodiments may be combined, and there are many other variations of different aspects of the above embodiments of the present invention, which are not provided in detail for the sake of simplicity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention should be included in the scope of protection of the embodiments of the present invention.

Claims

1. A GPR node rapid quality control method, characterized in that: include: Get seismic data from GPR nodes; Slicing the seismic data to obtain a plurality of data channels, calculating a root mean square value file for a sampling point of each data channel, converting the root mean square value file into an image to find abnormalities for RMS quality control; Check the node multi-directional angle change values ​​recorded in the node header to perform morphological angle quality control; Extracting drift from the seismic data to generate a text file for clock drift quality control; The actual number of seismic recording channels is calculated based on the seismic data, and the expected number of seismic recording channels is calculated based on the start and end times in the node recording data. The actual number of seismic recording channels and the expected number of seismic recording channels are compared to perform data integrity quality control.

2. The GPR node rapid quality control method according to claim 1, characterized in that: Also includes: In response to any quality control abnormality among RMS quality control, morphology quality control, clock drift quality control and data integrity quality control, an alarm message is generated.

3. The GPR node rapid quality control method according to claim 1, characterized in that: The root mean square value file obtained by calculating the sampling point of each data channel includes: Get the number of sampling points n and the amplitude x of the sampling points based on the formula A root mean square value file is obtained by calculating the sampling point of each data channel.

4. The GPR node rapid quality control method according to claim 1, characterized in that: The converting the root mean square value file into an image to find abnormalities for RMS quality control includes: If a blank lane appears in the image, it will be output as missing node data in the RMS quality control. If an abnormally large amplitude value appears in the image compared to adjacent nodes, it will be output as a suspected abnormal channel in the RMS quality control.

5. The GPR node rapid quality control method according to claim 1, characterized in that: Checking the node multi-azimuth angle change values ​​recorded in the node header for morphological angle quality control includes: Check the pitch, row, and yaw angle values ​​in the node header record and determine whether there are any abnormal angle values ​​in the node during continuous recording to perform morphological angle quality control.

6. The GPR node rapid quality control method according to claim 1, characterized in that: Calculating the actual number of seismic recording channels based on the seismic data includes: The actual number of seismic record tracks is calculated based on the SEGD data header information of the valid seismic records output in the seismic data.

7. A GPR node rapid quality control device, characterized in that: include: a data acquisition module configured to acquire seismic data of a GPR node; An RMS quality control module is configured to segment the seismic data to obtain a plurality of data channels, calculate a root mean square value file for a sampling point of each data channel, and convert the root mean square value file into an image to find abnormal conditions for RMS quality control; The morphological angle quality control module is configured to check the node multi-azimuth angle change values ​​recorded in the node header to perform morphological angle quality control; A clock drift quality control module is configured to extract drift from the seismic data and generate a text file for clock drift quality control; The integrity quality control module is configured to calculate the actual number of seismic recording channels based on the seismic data, calculate the expected number of seismic recording channels based on the start and end times in the node recording data, and compare the actual number of seismic recording channels with the expected number of seismic recording channels to perform data integrity quality control.

8. The GPR node rapid quality control device according to claim 7, characterized in that: Also includes: The alarm module is configured to generate an alarm message in response to any quality control anomaly among RMS quality control, morphology quality control, clock drift quality control and data integrity quality control.

9. A computer device, characterized in that: include: at least one processor; as well as A memory storing computer instructions executable on the processor, wherein the instructions, when executed by the processor, implement the steps of the method according to any one of claims 1 to 6.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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