Marine air gun source state monitoring method and device, electronic equipment and medium

Abstract

The invention discloses a marine air gun source state monitoring method and device, electronic equipment and a medium. The method comprises the following steps: obtaining a seismic source attribute and an air gun attribute, and obtaining a near-field wavelet file; preprocessing the near-field wavelet file to obtain effective seismic source information; calculating a near-field wavelet attribute value according to the effective seismic source information; setting a near-field wavelet attribute error threshold value, and performing single-channel wavelet state judgment according to the near-field wavelet attribute value; threshold values are set for the seismic source attribute and the air gun attribute respectively, and then the seismic source state is judged. According to the method, the seismic source state is monitored from the excited seismic source air gun state and the received near-field wavelet state, the quality control of the marine air gun seismic source can be completed comprehensively, efficiently and accurately, and the method is of great significance to field data quality monitoring and construction efficiency improvement.

Description

Technical Field

[0001] This invention relates to the field of marine seismic exploration, and more specifically, to a method, device, electronic equipment, and medium for monitoring the source status of a marine air gun. Background Technology

[0002] In marine seismic exploration, air guns are primarily used as the excitation source. Source status monitoring directly determines the quality of seismic data and significantly impacts the efficiency of the entire exploration project. Source status monitoring mainly focuses on two aspects: gun control status and near-field wavelet status monitoring. Currently, gun control status monitoring is relatively mature, relying primarily on specialized gun control software that uses threshold settings as a benchmark and error alarms as the result to monitor the operational status of the source system. Once any anomaly or deviation from the preset range is detected, an alarm mechanism is immediately triggered. Near-field wavelet status monitoring is performed through manual qualitative monitoring of waveforms or simple energy property calculations. This method has significant shortcomings in accuracy and efficiency, especially since manual qualitative analysis is prone to subjective misjudgments, affecting the reliability of the monitoring results.

[0003] Currently, a method for monitoring the state of marine air gun seismic sources still needs to be developed.

[0004] The information disclosed in the background section of this invention is intended only to enhance the understanding of the general background of this invention, and should not be construed as an admission or in any way implying that such information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] This invention proposes a method, device, electronic equipment, and medium for monitoring the state of a marine air gun source. By monitoring the state of the excitation air gun and the received near-field wavelet state, the source state can be comprehensively, efficiently, and accurately controlled, which is of great significance for monitoring the quality of on-site data and improving construction efficiency.

[0006] In a first aspect, embodiments of this disclosure provide a method for monitoring the state of a marine airgun source, including:

[0007] Obtain the source and air gun properties, and obtain the near-field wavelet file;

[0008] The near-field wavelet file is preprocessed to obtain effective source information;

[0009] Calculate the near-field wavelet property values ​​based on the effective source information;

[0010] Set a near-field wavelet attribute error threshold value, and determine the single-channel wavelet state based on the near-field wavelet attribute value;

[0011] Threshold values ​​are set for the earthquake source attributes and the air gun attributes respectively, thereby determining the earthquake source state.

[0012] As a specific implementation of this disclosure, preprocessing the near-field wavelet file to obtain effective source information includes:

[0013] The absolute values ​​of the amplitudes of the wavelet sampling points with the same source number in the near-field wavelet file are summed to obtain the initial valid source information;

[0014] The initial effective seismic source information is subjected to bandpass filtering to obtain the effective seismic source information.

[0015] As a specific implementation of this disclosure, obtaining initial valid seismic source information includes:

[0016] Comparing the accumulated results, the source number corresponding to the maximum value is the valid source number of the current file. The source number of the valid source, the start trace number and the end trace number of the corresponding near-field wavelet are saved.

[0017] As a specific implementation of this disclosure, the near-field wavelet attribute values ​​include pulse energy, band energy, wavelet bubble period, initial shot ratio, and cross-correlation coefficient.

[0018] As a specific implementation of this disclosure, determining the state of a single-channel wavelet based on the near-field wavelet attribute value includes:

[0019] Calculate the relative error between the near-field wavelet attribute value and the near-field wavelet attribute value of the standard trace;

[0020] The state of a single-channel wavelet is determined by comparing the relative error value with the near-field wavelet attribute error threshold value.

[0021] As one specific implementation of this disclosure, the relative error value is:

[0022]

[0023] Where E represents the relative error value of the properties of the monitored near-field wavelet and the standard near-field wavelet, and A represents the property value of the monitored wavelet. s The attribute value representing the standard wavelet.

[0024] Secondly, this disclosure also provides a marine airgun source status monitoring device, comprising:

[0025] The file acquisition module obtains the source properties and air gun properties to obtain the near-field wavelet file;

[0026] The preprocessing module preprocesses the near-field wavelet file to obtain valid source information;

[0027] The near-field wavelet attribute value calculation module calculates the near-field wavelet attribute values ​​based on the effective source information.

[0028] The wavelet state determination module sets a near-field wavelet attribute error threshold value and performs single-channel wavelet state determination based on the near-field wavelet attribute value.

[0029] The source state determination module sets threshold values ​​for the source attributes and the air gun attributes respectively, and then determines the source state.

[0030] As a specific implementation of this disclosure, preprocessing the near-field wavelet file to obtain effective source information includes:

[0031] The absolute values ​​of the amplitudes of the wavelet sampling points with the same source number in the near-field wavelet file are summed to obtain the initial valid source information;

[0032] The initial effective seismic source information is subjected to bandpass filtering to obtain the effective seismic source information.

[0033] As a specific implementation of this disclosure, obtaining initial valid seismic source information includes:

[0034] Comparing the accumulated results, the source number corresponding to the maximum value is the valid source number of the current file. The source number of the valid source, the start trace number and the end trace number of the corresponding near-field wavelet are saved.

[0035] As a specific implementation of this disclosure, the near-field wavelet attribute values ​​include pulse energy, band energy, wavelet bubble period, initial shot ratio, and cross-correlation coefficient.

[0036] As a specific implementation of this disclosure, determining the state of a single-channel wavelet based on the near-field wavelet attribute value includes:

[0037] Calculate the relative error between the near-field wavelet attribute value and the near-field wavelet attribute value of the standard trace;

[0038] The state of a single-channel wavelet is determined by comparing the relative error value with the near-field wavelet attribute error threshold value.

[0039] As one specific implementation of this disclosure, the relative error value is:

[0040]

[0041] Where E represents the relative error value of the properties of the monitored near-field wavelet and the standard near-field wavelet, and A represents the property value of the monitored wavelet. s The attribute value representing the standard wavelet.

[0042] Thirdly, embodiments of this disclosure also provide an electronic device, the electronic device comprising:

[0043] Memory, which stores executable instructions;

[0044] A processor that executes the executable instructions in the memory to implement the marine airgun source status monitoring method.

[0045] Fourthly, embodiments of this disclosure also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for monitoring the state of a marine airgun source.

[0046] Its beneficial effects are as follows:

[0047] This invention enables comprehensive and high-precision monitoring of the seismic source from its excitation state to its excitation effect, providing strong technical support for monitoring the quality of on-site data in marine seismic exploration. While ensuring the quality of seismic data, it also improves the overall execution efficiency of exploration projects.

[0048] The methods and apparatus of the present invention have other features and advantages that will be apparent from or will be set forth in detail in the accompanying drawings and following detailed description, which together serve to explain the particular principles of the invention. Attached Figure Description

[0049] The above and other objects, features and advantages of the present invention will become more apparent from the more detailed description of exemplary embodiments of the invention in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same parts.

[0050] Figure 1 A flowchart illustrating the steps of a marine airgun source status monitoring method according to an embodiment of the present invention is shown.

[0051] Figure 2 A schematic diagram illustrating the acquisition of partial gun control parameter file information according to an embodiment of the present invention is shown.

[0052] Figure 3 A schematic diagram of the near-field sub-waveform of a monitoring gun according to an embodiment of the present invention is shown.

[0053] Figure 4 A schematic diagram of the extracted near-field wavelet pulse energy property error is shown according to an embodiment of the present invention.

[0054] Figure 5A schematic diagram of the extracted near-field wavelet cross-correlation attribute error is shown according to an embodiment of the present invention.

[0055] Figure 6 A schematic diagram of the extracted air gun excitation delay error attribute error is shown according to an embodiment of the present invention.

[0056] Figure 7 A schematic diagram illustrating whether an air gun is self-excited is shown according to an embodiment of the present invention.

[0057] Figure 8 A block diagram of a marine air gun source status monitoring device according to an embodiment of the present invention is shown.

[0058] Explanation of reference numerals in the attached figures:

[0059] 201. File Acquisition Module; 202. Preprocessing Module; 203. Near-Field Wavelet Attribute Value Calculation Module; 204. Wavelet State Judgment Module; 205. Source State Judgment Module; 206. Detailed Implementation

[0060] Preferred embodiments of the invention will now be described in more detail. While preferred embodiments of the invention are described below, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0061] To facilitate understanding of the solutions and effects of the embodiments of the present invention, six specific application examples are given below. Those skilled in the art should understand that these examples are merely for the purpose of understanding the present invention, and any specific details therein are not intended to limit the present invention in any way.

[0062] Example 1

[0063] Figure 1 A flowchart illustrating the steps of a marine airgun source status monitoring method according to an embodiment of the present invention is shown.

[0064] like Figure 1 As shown, the method for monitoring the source status of a marine air gun includes:

[0065] Step 101: Obtain the source properties and air gun properties to obtain the near-field wavelet file;

[0066] Step 102: Preprocess the near-field wavelet file to obtain effective source information;

[0067] Step 103: Calculate the near-field wavelet attribute values ​​based on the valid source information;

[0068] Step 104: Set the near-field wavelet attribute error threshold value, and determine the single-channel wavelet state based on the near-field wavelet attribute value;

[0069] Step 105: Set threshold values ​​for the earthquake source attributes and air gun attributes respectively, and then determine the earthquake source status.

[0070] In one example, preprocessing the near-field wavelet file yields valid source information including:

[0071] The absolute values ​​of the amplitudes of wavelet sampling points with the same source number in the near-field wavelet file are summed to obtain the initial valid source information;

[0072] Bandpass filtering is performed on the initial valid seismic source information to obtain valid seismic source information.

[0073] In one example, obtaining the initial valid seismic source information includes:

[0074] Comparing the accumulated results, the source number corresponding to the maximum value is the valid source number of the current file. The source number of the valid source, the start trace number and the end trace number of the corresponding near-field wavelet are saved.

[0075] In one example, near-field wavelet property values ​​include pulse energy, band energy, wavelet bubble period, initial shot ratio, and cross-correlation coefficient.

[0076] In one example, determining the state of a single-channel wavelet based on near-field wavelet attribute values ​​includes:

[0077] Calculate the relative error between the near-field wavelet property values ​​and the near-field wavelet property values ​​of the standard trace;

[0078] The state of a single-channel wavelet is determined by comparing the relative error value with the near-field wavelet attribute error threshold value.

[0079] In one example, the relative error value is:

[0080]

[0081] Where E represents the relative error value of the properties of the monitored near-field wavelet and the standard near-field wavelet, and A represents the property value of the monitored wavelet. s The attribute value representing the standard wavelet.

[0082] Specifically, the source attributes and air gun attributes are obtained; the gun control parameter file, usually in .dat or .txt format, is obtained. During construction, the source parameters and the attribute parameters of each air gun are written to this file in real time. Each line of the file contains the gun control equipment information for one shot, including the shot number, acquisition time, number of substrings, number of air guns on each substring, source number, number of self-excited guns, number of pressure error guns, and number of extinguished guns, etc. It also includes air gun parameter attribute information such as the source number of each air gun, whether it is self-excited, excitation time, and air gun delay time. The air gun parameter information is matched with the near-field wavelet data through the shot number to obtain the near-field wavelet file.

[0083] Near-field wavelet preprocessing is performed; the absolute values ​​of the amplitudes of the wavelet sampling points with the same source number in each near-field wavelet file are accumulated, and the accumulated results are compared. The source number corresponding to the maximum value is the valid source number of the current file. The source number of the valid source, the start trace number and the end trace number of the corresponding near-field wavelet are saved. During the acquisition process of marine seismic exploration, low-frequency and high-frequency noise components may appear due to environmental noise and the inherent noise of the measuring equipment. Therefore, bandpass filtering is performed on the valid trace data of the original near-field wavelet. The settings need to be set according to the actual data conditions.

[0084] Calculate the gun control attributes and wavelet attribute errors; calculate the pulse energy, frequency band energy, wavelet bubble period, initial shot ratio and cross-correlation coefficient of the near-field wavelet data within the preprocessed effective channel range. These attribute parameters are affected by factors such as air gun capacity, working pressure and immersion depth, and can intuitively reflect the working status of the air gun.

[0085] For each source number, select a standard shot and calculate the relative error between the near-field wavelet properties and the near-field wavelet properties of the standard shot:

[0086]

[0087] Where E represents the ratio of the attribute error between the monitored near-field wavelet and the standard near-field wavelet, and A represents the attribute value of the monitored wavelet. s The attribute value represents the standard wavelet. The state of a single wavelet is determined by setting the near-field wavelet attribute error threshold value.

[0088] Based on the parameters set in the software system on the construction vessel, standard values ​​and error thresholds for the seismic source attributes are set to determine the seismic source status. Error thresholds for air gun attributes are set to determine the status of individual air guns. Thresholds are set for the number of abnormal air guns to determine the seismic source status.

[0089] The source state is determined by monitoring three aspects: the source attribute, the air gun number anomaly threshold, and the near-field wavelet number anomaly threshold. This monitoring includes the source state, the air gun state, and the near-field wavelet state received by the hydrophone.

[0090] Example 2

[0091] The present invention also provides a marine air gun source status monitoring device, comprising:

[0092] The file acquisition module obtains the source properties and air gun properties to obtain the near-field wavelet file;

[0093] The preprocessing module preprocesses the near-field wavelet files to obtain valid source information;

[0094] The near-field wavelet attribute value calculation module calculates near-field wavelet attribute values ​​based on valid source information.

[0095] The wavelet state determination module sets the near-field wavelet attribute error threshold value and performs single-channel wavelet state determination based on the near-field wavelet attribute value.

[0096] The earthquake source state determination module sets threshold values ​​for earthquake source attributes and air gun attributes respectively, and then determines the earthquake source state.

[0097] In one example, preprocessing the near-field wavelet file yields valid source information including:

[0098] The absolute values ​​of the amplitudes of wavelet sampling points with the same source number in the near-field wavelet file are summed to obtain the initial valid source information;

[0099] Bandpass filtering is performed on the initial valid seismic source information to obtain valid seismic source information.

[0100] In one example, obtaining the initial valid seismic source information includes:

[0101] Comparing the accumulated results, the source number corresponding to the maximum value is the valid source number of the current file. The source number of the valid source, the start trace number and the end trace number of the corresponding near-field wavelet are saved.

[0102] In one example, near-field wavelet property values ​​include pulse energy, band energy, wavelet bubble period, initial shot ratio, and cross-correlation coefficient.

[0103] In one example, determining the state of a single-channel wavelet based on near-field wavelet attribute values ​​includes:

[0104] Calculate the relative error between the near-field wavelet property values ​​and the near-field wavelet property values ​​of the standard trace;

[0105] The state of a single-channel wavelet is determined by comparing the relative error value with the near-field wavelet attribute error threshold value.

[0106] In one example, the relative error value is:

[0107]

[0108] Where E represents the relative error value of the properties of the monitored near-field wavelet and the standard near-field wavelet, and A represents the property value of the monitored wavelet. s The attribute value representing the standard wavelet.

[0109] Specifically, the source attributes and air gun attributes are obtained; the gun control parameter file, usually in .dat or .txt format, is obtained. During construction, the source parameters and the attribute parameters of each air gun are written to this file in real time. Each line of the file contains the gun control equipment information for one shot, including the shot number, acquisition time, number of substrings, number of air guns on each substring, source number, number of self-excited guns, number of pressure error guns, and number of extinguished guns, etc. It also includes air gun parameter attribute information such as the source number of each air gun, whether it is self-excited, excitation time, and air gun delay time. The air gun parameter information is matched with the near-field wavelet data through the shot number to obtain the near-field wavelet file.

[0110] Near-field wavelet preprocessing is performed; the absolute values ​​of the amplitudes of the wavelet sampling points with the same source number in each near-field wavelet file are accumulated, and the accumulated results are compared. The source number corresponding to the maximum value is the valid source number of the current file. The source number of the valid source, the start trace number and the end trace number of the corresponding near-field wavelet are saved. During the acquisition process of marine seismic exploration, low-frequency and high-frequency noise components may appear due to environmental noise and the inherent noise of the measuring equipment. Therefore, bandpass filtering is performed on the valid trace data of the original near-field wavelet. The settings need to be set according to the actual data conditions.

[0111] Calculate the gun control attributes and wavelet attribute errors; calculate the pulse energy, frequency band energy, wavelet bubble period, initial shot ratio and cross-correlation coefficient of the near-field wavelet data within the preprocessed effective channel range. These attribute parameters are affected by factors such as air gun capacity, working pressure and immersion depth, and can intuitively reflect the working status of the air gun.

[0112] For each source number, select a standard shot and calculate the relative error between the near-field wavelet properties and the near-field wavelet properties of the standard shot:

[0113]

[0114] Where E represents the ratio of the attribute error between the monitored near-field wavelet and the standard near-field wavelet, and A represents the attribute value of the monitored wavelet. s The attribute value represents the standard wavelet. The state of a single wavelet is determined by setting the near-field wavelet attribute error threshold value.

[0115] Based on the parameters set in the software system on the construction vessel, standard values ​​and error thresholds for the seismic source attributes are set to determine the seismic source status. Error thresholds for air gun attributes are set to determine the status of individual air guns. Thresholds are set for the number of abnormal air guns to determine the seismic source status.

[0116] The source state is determined by monitoring three aspects: the source attribute, the air gun number anomaly threshold, and the near-field wavelet number anomaly threshold. This monitoring includes the source state, the air gun state, and the near-field wavelet state received by the hydrophone.

[0117] Example 3

[0118] Figure 2 A schematic diagram illustrating the acquisition of partial gun control parameter file information according to an embodiment of the present invention is shown.

[0119] Obtain the seismic source attributes and air gun attributes; obtain the gun control parameter file, usually in .dat or .txt format. During construction, the seismic source parameters and the attribute parameters of each air gun are written to this file in real time. Each line of the file contains information about the gun control equipment for one shot, such as... Figure 2 As shown, the data includes source information such as shot number, acquisition time, number of substrings, number of air guns in each substring, source number, number of self-excited guns, number of pressure error guns, and number of extinguishing guns. It also includes air gun parameter attribute information such as source number, whether it is self-excited, excitation time, and air gun delay time for each air gun. The air gun parameter information is matched with the near-field wavelet data through the shot number to obtain the near-field wavelet file.

[0120] Figure 3 A schematic diagram of the near-field sub-waveform of a monitoring gun according to an embodiment of the present invention is shown.

[0121] Perform near-field wavelet preprocessing; sum the absolute values ​​of the amplitudes of wavelet sampling points with the same source number in each near-field wavelet file, compare the summation results, and the source number corresponding to the maximum value is the valid source number of the current file. Save the valid source number, the start trace number and end trace number of the corresponding near-field wavelet, such as... Figure 3 This is a near-field wavelet waveform from a monitoring shot, with source number 2 and effective channel range of 13-24. During marine seismic exploration and acquisition, low-frequency and high-frequency noise components may appear due to environmental noise and inherent noise of the measuring equipment. Therefore, bandpass filtering is performed on the effective channel data of the original near-field wavelet. The settings need to be adjusted according to the actual data. Here, the ground cutoff frequency is set to 10 Hz and the high cutoff frequency is set to 100 Hz.

[0122] Calculate the gun control attributes and wavelet attribute errors; S31, calculate the pulse energy, frequency band energy, wavelet bubble period, initial shot ratio and cross-correlation coefficient of the near-field wavelet data within the preprocessed effective channel range. These attribute parameters are affected by factors such as air gun capacity, working pressure and immersion depth, and can intuitively reflect the working status of the air gun.

[0123] Figure 4 A schematic diagram of the extracted near-field wavelet pulse energy property error is shown according to an embodiment of the present invention.

[0124] Figure 5 A schematic diagram of the extracted near-field wavelet cross-correlation attribute error is shown according to an embodiment of the present invention.

[0125] For each source number, select a standard shot and calculate the relative error between the near-field wavelet properties and the near-field wavelet properties of the standard shot:

[0126]

[0127] Where E represents the ratio of the attribute error between the monitored near-field wavelet and the standard near-field wavelet, and A represents the attribute value of the monitored wavelet. s This represents the attribute value of the standard wavelet. By setting a near-field wavelet attribute error threshold, the state of a single wavelet is determined, and the extracted wavelet attributes and their attribute errors relative to the pulse energy and cross-correlation coefficient of the standard shot are calculated as follows: Figure 4 , Figure 5 As shown in the figure, the bar chart corresponds to the left coordinate axis, representing the attribute error value, and the line chart corresponds to the right coordinate axis, representing the attribute value, including the attribute values ​​of the standard shot and the monitoring shot. Further, a threshold value for the number of near-field wavelet anomalies is set to judge the source state.

[0128] Figure 6 A schematic diagram of the extracted air gun excitation delay error attribute error is shown according to an embodiment of the present invention.

[0129] Figure 7 A schematic diagram illustrating whether an air gun is self-excited is shown according to an embodiment of the present invention.

[0130] Based on the parameters set in the software system on the construction vessel, standard values ​​and error thresholds for the seismic source attributes are set. In this embodiment, the standard value for the total pressure of the seismic source is 2000 psi, and the error threshold is 100 psi, for judging the seismic source status. Error thresholds for the air gun attributes are also set. In this embodiment, the excitation delay error threshold is set to 50 milliseconds, the depth error monitoring threshold is 0.5 meters, and the excitation error monitoring threshold is 1 millisecond, for judging the status of a single air gun. The extracted air gun excitation delay deviation and air gun self-excitation attributes are as follows: Figure 6 and Figure 7As shown, a threshold value is set for the number of abnormal air guns to determine the state of the seismic source.

[0131] The source state is assessed by monitoring three aspects: the source attribute, the air gun quantity anomaly threshold, and the near-field wavelet anomaly channel count threshold. These factors are: the source state, the air gun quantity anomaly threshold, and the near-field wavelet count received by the hydrophone. Any anomaly in any of these three factors will directly indicate an abnormal source state. Here, the air gun quantity anomaly threshold is 1, and the near-field wavelet count anomaly is 1 channel.

[0132] Example 4

[0133] Figure 8 A block diagram of a marine air gun source status monitoring device according to an embodiment of the present invention is shown.

[0134] like Figure 8 As shown, the marine air gun source status monitoring device includes:

[0135] File acquisition module 201 acquires source attributes and air gun attributes to obtain near-field wavelet files;

[0136] Preprocessing module 202 preprocesses the near-field wavelet file to obtain effective source information;

[0137] The near-field wavelet attribute value calculation module 203 calculates the near-field wavelet attribute values ​​based on the effective source information.

[0138] The wavelet state judgment module 204 sets the near-field wavelet attribute error threshold value and performs single-channel wavelet state judgment based on the near-field wavelet attribute value.

[0139] The source state judgment module 205 sets threshold values ​​for the source attributes and air gun attributes respectively, and then judges the source state.

[0140] In one example, preprocessing the near-field wavelet file yields valid source information including:

[0141] The absolute values ​​of the amplitudes of wavelet sampling points with the same source number in the near-field wavelet file are summed to obtain the initial valid source information;

[0142] Bandpass filtering is performed on the initial valid seismic source information to obtain valid seismic source information.

[0143] In one example, obtaining the initial valid seismic source information includes:

[0144] Comparing the accumulated results, the source number corresponding to the maximum value is the valid source number of the current file. The source number of the valid source, the start trace number and the end trace number of the corresponding near-field wavelet are saved.

[0145] In one example, near-field wavelet property values ​​include pulse energy, band energy, wavelet bubble period, initial shot ratio, and cross-correlation coefficient.

[0146] In one example, determining the state of a single-channel wavelet based on near-field wavelet attribute values ​​includes:

[0147] Calculate the relative error between the near-field wavelet property values ​​and the near-field wavelet property values ​​of the standard trace;

[0148] The state of a single-channel wavelet is determined by comparing the relative error value with the near-field wavelet attribute error threshold value.

[0149] In one example, the relative error value is:

[0150]

[0151] Where E represents the relative error value of the properties of the monitored near-field wavelet and the standard near-field wavelet, and A represents the property value of the monitored wavelet. s The attribute value representing the standard wavelet.

[0152] Example 5

[0153] This embodiment provides an electronic device, which includes: a memory storing executable instructions; and a processor that executes the executable instructions in the memory to implement the above-described method for monitoring the state of a marine airgun source.

[0154] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.

[0155] This memory is used to store non-transitory computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.

[0156] The processor may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of this disclosure, the processor is used to execute computer-readable instructions stored in the memory.

[0157] Those skilled in the art will understand that, in order to solve the technical problem of how to achieve a good user experience, this embodiment may also include well-known structures such as communication buses and interfaces, and these well-known structures should also be included within the protection scope of this disclosure.

[0158] For a detailed description of this embodiment, please refer to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.

[0159] Example 6

[0160] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the marine airgun source status monitoring method.

[0161] A computer-readable storage medium according to embodiments of the present disclosure stores non-transitory computer-readable instructions. When these non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the methods described in the foregoing embodiments of the present disclosure are performed.

[0162] The aforementioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or portable hard drive), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).

[0163] Those skilled in the art should understand that the above description of the embodiments of the present invention is only intended to illustrate the beneficial effects of the embodiments of the present invention, and is not intended to limit the embodiments of the present invention to any of the examples given.

[0164] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for monitoring the state of a marine air gun source, characterized in that, include: Obtain the source and air gun properties, and obtain the near-field wavelet file; The near-field wavelet file is preprocessed to obtain effective source information; Calculate the near-field wavelet property values ​​based on the effective source information; Set a near-field wavelet attribute error threshold value, and determine the single-channel wavelet state based on the near-field wavelet attribute value; Threshold values ​​are set for the earthquake source attributes and the air gun attributes respectively, thereby determining the earthquake source state.

2. The method for monitoring the state of a marine airgun source according to claim 1, wherein, Preprocessing the near-field wavelet file to obtain effective source information includes: The absolute values ​​of the amplitudes of the wavelet sampling points with the same source number in the near-field wavelet file are summed to obtain the initial valid source information; The initial effective seismic source information is subjected to bandpass filtering to obtain the effective seismic source information.

3. The method for monitoring the state of a marine airgun source according to claim 2, wherein, Obtaining initial valid source information includes: Comparing the accumulated results, the source number corresponding to the maximum value is the valid source number of the current file. The source number of the valid source, the start trace number and the end trace number of the corresponding near-field wavelet are saved.

4. The method for monitoring the state of a marine airgun source according to claim 1, wherein, The near-field wavelet attribute values ​​include pulse energy, band energy, wavelet bubble period, initial shot ratio, and cross-correlation coefficient.

5. The method for monitoring the state of a marine airgun source according to claim 1, wherein, The single-channel wavelet state determination based on the near-field wavelet attribute values ​​includes: Calculate the relative error between the near-field wavelet attribute value and the near-field wavelet attribute value of the standard trace; The state of a single-channel wavelet is determined by comparing the relative error value with the near-field wavelet attribute error threshold value.

6. The method for monitoring the state of a marine airgun source according to claim 5, wherein, The relative error value is: Where E represents the relative error value of the properties of the monitored near-field wavelet and the standard near-field wavelet, and A represents the property value of the monitored wavelet. s The attribute value representing the standard wavelet.

7. A marine air gun source status monitoring device, characterized in that, include: The file acquisition module obtains the source properties and air gun properties to obtain the near-field wavelet file; The preprocessing module preprocesses the near-field wavelet file to obtain valid source information; The near-field wavelet attribute value calculation module calculates the near-field wavelet attribute values ​​based on the effective source information. The wavelet state determination module sets a near-field wavelet attribute error threshold value and performs single-channel wavelet state determination based on the near-field wavelet attribute value. The source state determination module sets threshold values ​​for the source attributes and the air gun attributes respectively, and then determines the source state.

8. The marine air gun source status monitoring device according to claim 7, wherein, Preprocessing the near-field wavelet file to obtain effective source information includes: The absolute values ​​of the amplitudes of the wavelet sampling points with the same source number in the near-field wavelet file are summed to obtain the initial valid source information; The initial effective seismic source information is subjected to bandpass filtering to obtain the effective seismic source information.

9. An electronic device, characterized in that, The electronic device includes: Memory, which stores executable instructions; A processor that executes the executable instructions in the memory to implement the marine airgun source status monitoring method according to any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the marine airgun source status monitoring method according to any one of claims 1-6.

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