CN-121995445-A - Method and device for determining quality of seismic data and storage medium

CN121995445ACN 121995445 ACN121995445 ACN 121995445ACN-121995445-A

Abstract

The application discloses a method and a device for determining seismic data quality and a storage medium, and belongs to the field of seismic data acquisition. The quality control method comprises the steps of generating quality control images of quality control parameters corresponding to a plurality of node devices, inputting the quality control images corresponding to each node device into a preset quality control model to obtain quality control prediction results of the quality control parameters corresponding to each node device, so that a worker can obtain whether the quality control parameters of the node devices are abnormal or not based on the quality control prediction results, quality monitoring of collected seismic data is not needed manually, the burden of the worker is reduced, and the quality control efficiency of the seismic data is improved.

Inventors

ZHU XUJIANG
MEN ZHE
SONG WEIFENG
BAI ZHIHONG
ZHANG QINGZHONG
GAO ZIHAN

Assignees

中国石油天然气集团有限公司
中国石油集团东方地球物理勘探有限责任公司

Dates

Publication Date: 20260508
Application Date: 20241105

Claims (10)

1. A method of determining the quality of seismic data, the method comprising: Acquiring quality control parameters corresponding to each node device, wherein the quality control parameters are used for indicating whether the device state of the node device meets the requirement of acquiring seismic data; Generating a quality control image corresponding to the quality control parameter; And inputting the quality control image corresponding to each node device into a preset quality control model to obtain a quality control prediction result of the quality control parameter corresponding to each node device, wherein the quality control model is used for predicting whether the quality control parameter of the node device is abnormal or not.
2. The method according to claim 1, wherein the method further comprises: Based on the quality control image corresponding to each node device in the plurality of node devices and the quality control prediction result corresponding to each node device, generating a quality control report corresponding to the plurality of node devices, wherein the quality control report is used for indicating abnormal information corresponding to the node devices which do not meet the acquisition requirement in the plurality of node devices.
3. The method of claim 1, wherein the quality control parameters include at least one of root mean square of amplitude of seismic data acquired by the node device, attitude angle of the node device, polarity of the node device, coupling of the node device, and seismic assistance data, the polarity being used for indicating whether signals received by detectors of different components in the node device have a reverse direction of a first-arrival signal, and the coupling being used for indicating whether the node device is suspended, whether node displacement occurs during acquisition, and whether towing occurs.
4. The method of claim 1, wherein the quality control prediction result comprises a classification result corresponding to each quality control image, the classification result comprising at least one of a normal result, an abnormal result, and an uncertainty result.
5. The method according to claim 4, wherein the method further comprises: and if the classification result comprises the uncertain result, correcting the uncertain result based on a manual judgment result to obtain a corrected classification result, wherein the corrected classification result is the normal result or the abnormal result.
6. The method according to claim 1, wherein the method further comprises: and inputting sample data to an initial model, and training the initial model to obtain the quality control model, wherein the sample data comprises a sample quality control image corresponding to the node equipment and a quality control classification label corresponding to the sample quality control image.
7. The method of claim 6, wherein prior to inputting the sample data into the initial model, the method further comprises: acquiring an initial sample quality control image corresponding to the node equipment; denoising and adjusting the size of the initial sample quality control image to obtain the sample quality control image.
8. A device for determining the quality of seismic data, the device comprising: The first acquisition module is used for acquiring quality control parameters corresponding to each node device, wherein the quality control parameters are used for indicating whether the device state of the node device meets the requirement of acquiring the seismic data; The first determining module is used for generating a quality control image corresponding to the quality control parameter; The second determining module is configured to input the quality control image corresponding to each node device to a preset quality control model, to obtain a quality control prediction result of the quality control parameter corresponding to each node device, where the quality control model is used to predict whether the quality control parameter of the node device is abnormal.
9. A computer device comprising one or more processors and one or more memories, the one or more memories having stored therein at least one instruction that is loaded and executed by the one or more processors to perform the operations performed by the method of determining seismic data quality of any of claims 1-7.
10. A storage medium having stored therein at least one instruction loaded and executed by a processor to perform the operations performed by the method of determining seismic data quality of any of claims 1 to 7.

Description

Method and device for determining quality of seismic data and storage medium Technical Field The present application relates to the field of seismic data acquisition technologies, and in particular, to a method and apparatus for determining seismic data quality, and a storage medium. Background With the development of seismic exploration technology, it is becoming more and more common to acquire seismic data through node devices. Quality control of the acquired seismic data is often required to meet the quality requirements of the seismic data acquired by the node data. In the related art, after all the node devices are recovered, the seismic data acquired by all the acquisition devices are downloaded. And then, a technician respectively determines abnormal seismic data corresponding to each node device according to the seismic data collected by the node devices, and further determines that the data has problems or positions the abnormal collection devices according to the determined abnormal seismic data, thereby guaranteeing the quality of the seismic data collected by the node devices. However, since the judgment and identification of the abnormal seismic data often depend on technicians, the technicians are required to analyze the acquired seismic data of each node one by one, so that the abnormal seismic data cannot be obtained in a short time, and the quality control efficiency of the seismic data is low. Disclosure of Invention The embodiment of the application provides a method and a device for determining the quality of seismic data and a storage medium, which can improve the efficiency of quality control of the seismic data. The technical scheme is as follows: in one aspect, an embodiment of the present application provides a method for determining quality of seismic data, the method including: Acquiring quality control parameters corresponding to each node device, wherein the quality control parameters are used for indicating whether the device state of the node device meets the requirement of acquiring seismic data; generating a quality control image corresponding to the quality control parameter; And inputting the quality control image corresponding to each node device into a preset quality control model to obtain a quality control prediction result of the quality control parameter corresponding to each node device, wherein the quality control model is used for predicting whether the quality control parameter of the node device is abnormal or not. Optionally, the method further comprises: Based on the quality control image corresponding to each node device in the plurality of node devices and the quality control prediction result corresponding to each node device, generating a quality control report corresponding to the plurality of node devices, wherein the quality control report is used for representing abnormal information corresponding to the node devices which do not meet the acquisition requirement in the plurality of node devices. Optionally, the quality control parameters include at least one of root mean square of seismic data amplitude acquired by the node equipment, attitude angle of the node equipment, polarity of the node equipment, coupling of the node equipment and seismic auxiliary data, wherein the polarity is used for indicating whether signals received by detectors of different components in the node equipment have the condition of reverse jump first arrival signals, and the coupling is used for indicating whether the node equipment is suspended or not and whether node displacement and dragging occur in the acquisition process. Optionally, the quality control prediction result comprises a classification result corresponding to each quality control image, wherein the classification result comprises at least one of a normal result, an abnormal result and an uncertain result. Optionally, the method further comprises: and if the classification result comprises the uncertain result, correcting the uncertain result based on a manual judgment result to obtain a corrected classification result, wherein the corrected classification result is the normal result or the abnormal result. Optionally, the method further comprises: and inputting sample data to an initial model, and training the initial model to obtain the quality control model, wherein the sample data comprises a sample quality control image corresponding to the node equipment and a quality control classification label corresponding to the sample quality control image. Optionally, before the inputting the sample data into the initial model, the method further comprises: acquiring an initial sample quality control image corresponding to the node equipment; denoising and adjusting the size of the initial sample quality control image to obtain the sample quality control image. In one aspect, an embodiment of the present application provides a device for determining quality of seismic data, where the device includes: The first ac