A method and apparatus for seismic data acquisition

Abstract

This application provides a seismic data acquisition method and apparatus. The method includes: acquiring raw seismic data of a selected area in the field using a seismograph; performing frequency locking processing on the seismograph at a first preset frequency point, and transmitting the raw seismic data to a 5G nomadic station communication vehicle according to the first preset frequency point; the nomadic station communication vehicle using an outdoor CPE device at a second preset frequency point to transmit the raw seismic data back to a 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle being equipped with a private cloud storage system; extracting underground structural features and seismic wave propagation velocity from the raw seismic data; and storing the underground structural features, the seismic wave propagation velocity, and the raw seismic data in the private cloud storage system. This effectively improves the mobility and flexibility of 5G wireless network deployment in the field, thereby increasing the efficiency of data acquisition operations and reducing operational and labor costs.

Description

Technical Field

[0001] This disclosure relates to the field of seismic data acquisition technology for oil and gas seismic exploration, and in particular to a seismic data acquisition method and apparatus. Background Technology

[0002] In oil and gas resource field seismic exploration operations, seismographs and field communication network equipment constitute the core system for data acquisition and recording. Seismographs focus on capturing and recording raw seismic data, while field communication network base stations undertake the responsibility of storing and managing this data, and provide the necessary wireless network connection for the seismographs. Currently, nodal seismograph acquisition systems, with their wireless design advantages, have successfully broken free from the constraints of cables, greatly simplifying field workflows, reducing manpower requirements, and thus alleviating the cost burden on construction units. Therefore, they have gained widespread recognition and application within the industry.

[0003] With the continuous advancement of ICT technologies such as mobile communication and cloud computing, 5G technology has quietly entered the field of seismic data acquisition. Node seismographs with built-in 5G modules can achieve real-time wireless transmission of seismic data via the 5G public network. In areas where 5G public network coverage is limited, real-time data transmission can be achieved through a wireless network built by 5G private network communication vehicles. However, currently, network connections between 5G private network communication vehicles mainly rely on optical fiber. The fragility and environmental sensitivity of optical fiber significantly increase deployment difficulty in complex terrains such as mountains, dense forests, hills, and urban-rural fringe areas. The selection of fiber length becomes a thorny issue: excessively long fibers increase deployment and retrieval difficulties, while shorter fibers may reduce data retrieval rates due to insufficient interconnection. Furthermore, optical fibers face the risk of bending or even breakage in the field, undoubtedly further increasing the difficulty of field operations.

[0004] Therefore, exploring ways to achieve wireless communication between 5G private network base stations in the field, improving the data transmission speed between 5G private network base stations, and enhancing the flexible deployment capability of 5G private network base stations in the field environment have become key issues that urgently need to be addressed. Summary of the Invention

[0005] This disclosure provides a seismic data acquisition method and apparatus to improve the efficiency of seismic data acquisition in the field, which is hampered by the difficulty in deploying 5G private network communication vehicles.

[0006] In a first aspect, the present invention provides a seismic data acquisition method, comprising:

[0007] Use a seismograph to acquire raw seismic data for a selected area in the field;

[0008] The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is transmitted to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point.

[0009] The nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0010] Extract subsurface structural features and seismic wave propagation velocity from the raw seismic data;

[0011] The underground structural features, the seismic wave propagation velocity, and the original seismic data are stored in the private cloud storage system.

[0012] Optionally, raw seismic data for a selected area in the field can be acquired using a seismograph, including:

[0013] In the selected field area, seismic waves are generated using an artificial seismic source;

[0014] The seismic waves are collected using the seismograph and converted into the raw seismic data.

[0015] Optionally, subsurface structural features and seismic wave propagation velocities are extracted from the original seismic data, including:

[0016] The raw seismic data is cleaned to obtain the target seismic data;

[0017] The underground structural features and the seismic wave propagation velocity are extracted from the target seismic data.

[0018] Optionally, the original seismic data is cleaned to obtain the target seismic data, including:

[0019] The original seismic data is denoised using filtering techniques to obtain seismic data.

[0020] Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them.

[0021] The system verifies whether there are missing data points in the earthquake data, and if so, uses interpolation to fill in the missing data points.

[0022] Optionally, storing the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system includes:

[0023] Determine whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data exceeds a preset data volume threshold. If so, compress the underground structural features, the seismic wave propagation velocity, and the original seismic data and save them to the private cloud storage system.

[0024] Optionally, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0025] Secondly, the present invention provides a seismic data acquisition device, comprising:

[0026] The acquisition module is used to acquire raw seismic data of a selected area in the field using a seismograph.

[0027] The transmitting module is used to perform frequency locking processing on the seismograph at a first preset frequency point, and to transmit the original seismic data to the 5G nomadic station communication vehicle through the seismograph at the first preset frequency point.

[0028] The backhaul module is used by the nomadic station communication vehicle to transmit the raw seismic data back to the 5G private network central base station communication vehicle using an outdoor CPE device with a second preset frequency; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0029] The extraction module is used to extract subsurface structural features and seismic wave propagation velocities from the raw seismic data;

[0030] A storage module is used to store the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system.

[0031] Optionally, the acquisition module includes:

[0032] The excitation submodule is used to excite seismic waves using an artificial source in the selected area in the field.

[0033] The conversion submodule is used to collect the seismic waves using the seismograph and convert them into the raw seismic data.

[0034] Optionally, the extraction module includes:

[0035] The cleaning submodule is used to clean the raw seismic data to obtain the target seismic data.

[0036] An extraction submodule is used to extract the underground structural features and the seismic wave propagation velocity from the target seismic data.

[0037] Optionally, the cleaning submodule includes:

[0038] The denoising unit is used to denoise the original seismic data using filtering techniques to obtain seismic data.

[0039] An outlier verification unit is used to verify whether there are outliers in the seismic data, and if there are outliers, to delete, replace or smooth them.

[0040] The missing value verification unit is used to verify whether there are missing data points in the seismic data, and when there are missing data points, it uses an interpolation method to fill in the corresponding data points.

[0041] Optionally, the storage module includes:

[0042] The judgment group module is used to determine whether the sum of the data volume of the underground structure features, the seismic wave propagation velocity, and the original seismic data is greater than a preset data volume threshold. If so, the underground structure features, the seismic wave propagation velocity, and the original seismic data are compressed and saved to the private cloud storage system.

[0043] Optionally, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0044] Thirdly, the present invention provides an electronic device, including a processor and a memory, the memory storing computer-readable instructions, wherein when the computer-readable instructions are executed by the processor, the steps of the method provided in the first aspect above are performed, including:

[0045] Use a seismograph to acquire raw seismic data for a selected area in the field;

[0046] The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is transmitted to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point.

[0047] The nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0048] Extract subsurface structural features and seismic wave propagation velocity from the raw seismic data;

[0049] The underground structural features, the seismic wave propagation velocity, and the original seismic data are stored in the private cloud storage system.

[0050] Optionally, raw seismic data for a selected area in the field can be acquired using a seismograph, including:

[0051] In the selected field area, seismic waves are generated using an artificial seismic source;

[0052] The seismic waves are collected using the seismograph and converted into the raw seismic data.

[0053] Optionally, subsurface structural features and seismic wave propagation velocities are extracted from the original seismic data, including:

[0054] The raw seismic data is cleaned to obtain the target seismic data;

[0055] The underground structural features and the seismic wave propagation velocity are extracted from the target seismic data.

[0056] Optionally, the original seismic data is cleaned to obtain the target seismic data, including:

[0057] The original seismic data is denoised using filtering techniques to obtain seismic data.

[0058] Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them.

[0059] The system verifies whether there are missing data points in the earthquake data, and if so, uses interpolation to fill in the missing data points.

[0060] Optionally, storing the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system includes:

[0061] Determine whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data exceeds a preset data volume threshold. If so, compress the underground structural features, the seismic wave propagation velocity, and the original seismic data and save them to the private cloud storage system.

[0062] Optionally, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0063] Fourthly, the present invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method provided in the first aspect above, including:

[0064] Use a seismograph to acquire raw seismic data for a selected area in the field;

[0065] The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is transmitted to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point.

[0066] The nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0067] Extract subsurface structural features and seismic wave propagation velocity from the raw seismic data;

[0068] The underground structural features, the seismic wave propagation velocity, and the original seismic data are stored in the private cloud storage system.

[0069] Optionally, raw seismic data for a selected area in the field can be acquired using a seismograph, including:

[0070] In the selected field area, seismic waves are generated using an artificial seismic source;

[0071] The seismic waves are collected using the seismograph and converted into the raw seismic data.

[0072] Optionally, subsurface structural features and seismic wave propagation velocities are extracted from the original seismic data, including:

[0073] The raw seismic data is cleaned to obtain the target seismic data;

[0074] The underground structural features and the seismic wave propagation velocity are extracted from the target seismic data.

[0075] Optionally, the original seismic data is cleaned to obtain the target seismic data, including:

[0076] The original seismic data is denoised using filtering techniques to obtain seismic data.

[0077] Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them.

[0078] The system verifies whether there are missing data points in the earthquake data, and if so, uses interpolation to fill in the missing data points.

[0079] Optionally, storing the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system includes:

[0080] Determine whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data exceeds a preset data volume threshold. If so, compress the underground structural features, the seismic wave propagation velocity, and the original seismic data and save them to the private cloud storage system.

[0081] Optionally, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0082] Fifthly, the present invention provides a computer program product comprising a computer program, which, when executed by a processor, performs the steps of the method provided in the first aspect above, including:

[0083] Use a seismograph to acquire raw seismic data for a selected area in the field;

[0084] The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is transmitted to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point.

[0085] The nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0086] Extract subsurface structural features and seismic wave propagation velocity from the raw seismic data;

[0087] The underground structural features, the seismic wave propagation velocity, and the original seismic data are stored in the private cloud storage system.

[0088] Optionally, raw seismic data for a selected area in the field can be acquired using a seismograph, including:

[0089] In the selected field area, seismic waves are generated using an artificial seismic source;

[0090] The seismic waves are collected using the seismograph and converted into the raw seismic data.

[0091] Optionally, subsurface structural features and seismic wave propagation velocities are extracted from the original seismic data, including:

[0092] The raw seismic data is cleaned to obtain the target seismic data;

[0093] The underground structural features and the seismic wave propagation velocity are extracted from the target seismic data.

[0094] Optionally, the original seismic data is cleaned to obtain the target seismic data, including:

[0095] The original seismic data is denoised using filtering techniques to obtain seismic data.

[0096] Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them.

[0097] The system verifies whether there are missing data points in the earthquake data, and if so, uses interpolation to fill in the missing data points.

[0098] Optionally, storing the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system includes:

[0099] Determine whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data exceeds a preset data volume threshold. If so, compress the underground structural features, the seismic wave propagation velocity, and the original seismic data and save them to the private cloud storage system.

[0100] Optionally, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0101] As can be seen from the above technical solutions, the present invention has the following advantages:

[0102] This invention provides a method and apparatus for seismic data acquisition. The method includes: acquiring raw seismic data of a selected area in the field using a seismograph; performing frequency locking processing on the seismograph at a first preset frequency point, and transmitting the raw seismic data to a 5G nomadic station communication vehicle according to the first preset frequency point; the nomadic station communication vehicle using an outdoor CPE device at a second preset frequency point to transmit the raw seismic data back to a 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle being equipped with a private cloud storage system; extracting underground structural features and seismic wave propagation velocity from the raw seismic data; and storing the underground structural features, the seismic wave propagation velocity, and the raw seismic data in the private cloud storage system. This effectively improves the mobility and flexibility of 5G wireless network deployment in the field, enhances the support capability for field seismic acquisition operations, thereby improving the efficiency of acquisition operations and reducing economic and labor costs. Attached Figure Description

[0103] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0104] Figure 1 This is a flowchart illustrating the steps of a first embodiment of the seismic data acquisition method of the present invention;

[0105] Figure 2 This is a flowchart illustrating the steps of a second embodiment of the seismic data acquisition method of the present invention.

[0106] Figure 3 This is a schematic diagram of the communication equipment configuration in a 5G nomadic base station communication vehicle according to a second embodiment of the earthquake data acquisition method of the present invention.

[0107] Figure 4 This is a schematic diagram of the 5G central base station communication vehicle communication equipment configuration in a second embodiment of the earthquake data acquisition method of the present invention.

[0108] Figure 5 This is a structural block diagram of an embodiment of an earthquake data acquisition device according to the present invention. Detailed Implementation

[0109] This invention provides a seismic data acquisition method and apparatus to improve the efficiency of seismic data acquisition in the field, which is hampered by the difficulty in deploying 5G private network communication vehicles.

[0110] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0111] Example 1, please refer to Figure 1 , Figure 1 This is a flowchart illustrating the steps of a seismic data acquisition method according to a first embodiment of the present invention. The method includes:

[0112] Step S101: Use a seismograph to acquire raw seismic data for a selected area in the field;

[0113] In this embodiment of the application, seismometers are deployed in a selected area in the field according to a certain grid density. After deployment, the ground motion caused by seismic waves is monitored and recorded in real time to generate raw seismic data. The raw seismic data usually includes three components (east-west, north-south, and vertical), which reflect the ground vibration.

[0114] Step S102: The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is sent to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point;

[0115] In this embodiment, the wireless communication module of the seismograph is adjusted to lock onto a first preset frequency point, and after matching the receiving settings of the 5G nomadic station communication vehicle, the original seismic data is continuously sent to the 5G nomadic station communication vehicle according to the preset frequency point.

[0116] In step S103, the nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0117] In this embodiment of the application, an outdoor CPE device is installed on the 5G nomadic station communication vehicle and is set to operate on a second preset frequency to receive data from the seismograph.

[0118] In practical applications, CPE devices continuously receive raw seismic data from seismographs and forward this data to the 5G private network central base station communication vehicle via the 5G network.

[0119] Step S104: Extract subsurface structural features and seismic wave propagation velocity from the original seismic data;

[0120] In this embodiment of the application, underground structural features, such as the interface locations of different strata and lithological changes, are extracted from the original seismic data. Based on the seismic wave propagation velocity, a model of the propagation velocity of seismic waves in the underground medium is constructed.

[0121] Step S105: Store the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system.

[0122] In this embodiment, the extracted underground structural features, seismic wave propagation velocity data, and raw seismic data are organized and necessary metadata information, such as collection time, location, and processing method, is added. The data is then stored in the private cloud storage system equipped on the 5G private network central base station communication vehicle, and data backups are performed regularly to prevent data loss.

[0123] This invention provides a seismic data acquisition method, comprising: acquiring raw seismic data of a selected area in the field using a seismograph; performing frequency locking processing on the seismograph at a first preset frequency point, and transmitting the raw seismic data to a 5G nomadic station communication vehicle according to the first preset frequency point; the nomadic station communication vehicle transmitting the raw seismic data back to a 5G private network central base station communication vehicle using an outdoor CPE device at a second preset frequency point; the 5G private network central base station communication vehicle being equipped with a private cloud storage system; extracting underground structural features and seismic wave propagation velocity from the raw seismic data; and storing the underground structural features, the seismic wave propagation velocity, and the raw seismic data in the private cloud storage system. This effectively improves the mobility and flexibility of 5G wireless network deployment in the field, enhances the support capability for field seismic acquisition operations, thereby improving the efficiency of acquisition operations and reducing economic and labor costs.

[0124] Example 2, please refer to Figure 2 , Figure 2 This is a flowchart illustrating a second embodiment of the seismic data acquisition method of the present invention, the steps of which include:

[0125] Step S201: In the selected area in the field, seismic waves are generated using an artificial seismic source;

[0126] In this embodiment of the application, seismic waves are generated in a selected area in the field using an artificial seismic source. These seismic waves will penetrate the earth's crust and be reflected back, carrying information about the underground structure.

[0127] Step S202: The seismic waves are collected using the seismograph and converted into the raw seismic data;

[0128] Step S203: Perform frequency locking processing on the seismograph at a first preset frequency point, and send the original seismic data to the 5G nomadic station communication vehicle through the seismograph at the first preset frequency point;

[0129] In step S204, the nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0130] In this embodiment of the application, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0131] In practice, the wireless transmission technology and equipment between private 5G base stations for raw seismic data acquisition consists of a 4.9GHz 5G private network central base station communication vehicle and multiple 700MHz 5G private network nomadic station base station communication vehicles.

[0132] Please see Figure 3 , Figure 3 This is a schematic diagram of the communication equipment configuration inside a 5G nomadic base station communication vehicle, which is a second embodiment of an earthquake data acquisition method of the present invention. The nomadic base station communication vehicle is equipped with a 5G base station with a frequency of 700MHz, a 5G antenna, a wireless tunnel transmission device, a 4.9GHz outdoor CPE, and other communication equipment.

[0133] Please see Figure 4 , Figure 4 This is a schematic diagram of the communication equipment configuration inside a 5G central base station communication vehicle, which is a second embodiment of an earthquake data acquisition method of the present invention. The 5G central base station communication vehicle is equipped with a 5G core network at a frequency of 4.9GHz, a 5G base station, a 5G antenna, private cloud storage, wireless tunnel transmission equipment, and other communication equipment.

[0134] Wireless tunnel transmission communication equipment is deployed on all communication vehicles and consists of routers, switches, transmission cables, etc. It can replace traditional optical fibers and reduce the difficulty of field work.

[0135] In practical work, before the deployment of 5G smart nodes, the 5G smart node access device is frequency-locked to 700MHz. The 5G smart nodes actually deployed in the field achieve 5G network access and data transmission through the 700MHz nomadic base station communication vehicle. After receiving the data back from the 5G smart nodes, the 700MHz nomadic base station communication vehicle wirelessly transmits it back to the private cloud storage of the 4.9GHz central station communication vehicle through the wireless tunnel communication equipment and 4.9GHz outdoor CPE on the communication vehicle, thereby realizing wireless data backhaul between base stations and getting rid of fiber optic limitations.

[0136] Step S205: Use filtering technology to denoise the original seismic data to obtain seismic data;

[0137] In this application, filtering techniques (such as median filtering, bandpass filtering, etc.) are used to remove noise interference from the original seismic data and improve the signal-to-noise ratio of the data.

[0138] Step S206: Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them.

[0139] In this application, outliers are handled using methods such as deletion, replacement, or smoothing. These outliers may be caused by instrument malfunctions or data transmission errors.

[0140] Step S207: Verify whether there are missing data points in the earthquake data, and if there are missing data points, use interpolation to fill in the corresponding data points.

[0141] In the embodiments of this application, missing data points can be filled using interpolation methods (such as linear interpolation, polynomial interpolation, etc.) to ensure the continuity and integrity of the data.

[0142] Step S208: Extract the underground structural features and the seismic wave propagation velocity from the target seismic data;

[0143] Step S209: Store the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system.

[0144] In this embodiment of the application, it is determined whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data is greater than a preset data volume threshold. If so, the underground structural features, the seismic wave propagation velocity, and the original seismic data are compressed and saved to the private cloud storage system.

[0145] This invention discloses a seismic data acquisition method, comprising: acquiring raw seismic data of a selected area in the field using a seismograph; performing frequency locking processing on the seismograph at a first preset frequency point, and transmitting the raw seismic data to a 5G nomadic station communication vehicle according to the first preset frequency point; the nomadic station communication vehicle transmitting the raw seismic data back to a 5G private network central base station communication vehicle using an outdoor CPE device at a second preset frequency point; the 5G private network central base station communication vehicle being equipped with a private cloud storage system; extracting underground structural features and seismic wave propagation velocity from the raw seismic data; and storing the underground structural features, the seismic wave propagation velocity, and the raw seismic data in the private cloud storage system. By performing noise reduction and data verification processing on the raw seismic data, and compressing the data when the data volume is large, not only can the reliability of the data be significantly improved, but the storage space occupation can also be reduced while effectively improving the mobility and flexibility of the deployment of 5G wireless networks in the field, enhancing the support capability for field seismic acquisition operations, thereby improving the construction efficiency of acquisition operations and reducing the economic and labor costs of operations.

[0146] Example 3, please refer to Figure 5 , Figure 5 This is a structural block diagram of an embodiment of a seismic data acquisition device according to the present invention. The device includes:

[0147] The acquisition module 301 is used to acquire raw seismic data of a selected area in the field using a seismograph;

[0148] The transmitting module 302 is used to perform frequency locking processing on the seismograph at a first preset frequency point, and to transmit the original seismic data to the 5G nomadic station communication vehicle through the seismograph at the first preset frequency point;

[0149] The backhaul module 303 is used by the nomadic station communication vehicle to transmit the original seismic data back to the 5G private network central base station communication vehicle using an outdoor CPE device with a second preset frequency; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0150] Extraction module 304 is used to extract subsurface structural features and seismic wave propagation velocity from the original seismic data;

[0151] Storage module 305 is used to store the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system.

[0152] In an optional embodiment, the acquisition module 301 includes:

[0153] The excitation submodule is used to excite seismic waves using an artificial source in the selected area in the field.

[0154] The conversion submodule is used to collect the seismic waves using the seismograph and convert them into the raw seismic data.

[0155] In an optional embodiment, the extraction module 304 includes:

[0156] The cleaning submodule is used to clean the raw seismic data to obtain the target seismic data.

[0157] An extraction submodule is used to extract the underground structural features and the seismic wave propagation velocity from the target seismic data.

[0158] In an optional embodiment, the cleaning submodule includes:

[0159] The denoising unit is used to denoise the original seismic data using filtering techniques to obtain seismic data.

[0160] An outlier verification unit is used to verify whether there are outliers in the seismic data, and if there are outliers, to delete, replace or smooth them.

[0161] The missing value verification unit is used to verify whether there are missing data points in the seismic data, and when there are missing data points, it uses an interpolation method to fill in the corresponding data points.

[0162] In an optional embodiment, the storage module 305 includes:

[0163] The judgment group module is used to determine whether the sum of the data volume of the underground structure features, the seismic wave propagation velocity, and the original seismic data is greater than a preset data volume threshold. If so, the underground structure features, the seismic wave propagation velocity, and the original seismic data are compressed and saved to the private cloud storage system.

[0164] In one optional embodiment, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0165] Example 4: This embodiment of the invention also provides an electronic device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it causes the processor to perform a seismic data acquisition method according to any embodiment, including:

[0166] Use a seismograph to acquire raw seismic data for a selected area in the field;

[0167] The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is transmitted to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point.

[0168] The nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0169] Extract subsurface structural features and seismic wave propagation velocity from the raw seismic data;

[0170] The underground structural features, the seismic wave propagation velocity, and the original seismic data are stored in the private cloud storage system.

[0171] In one optional embodiment, raw seismic data of a selected area in the field is acquired using a seismograph, including:

[0172] In the selected field area, seismic waves are generated using an artificial seismic source;

[0173] The seismic waves are collected using the seismograph and converted into the raw seismic data.

[0174] In one optional embodiment, extracting subsurface structural features and seismic wave propagation velocities from the raw seismic data includes:

[0175] The raw seismic data is cleaned to obtain the target seismic data;

[0176] The underground structural features and the seismic wave propagation velocity are extracted from the target seismic data.

[0177] In one optional embodiment, the raw seismic data is cleaned to obtain the target seismic data, including:

[0178] The original seismic data is denoised using filtering techniques to obtain seismic data.

[0179] Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them.

[0180] The system verifies whether there are missing data points in the earthquake data, and if so, uses interpolation to fill in the missing data points.

[0181] In an optional embodiment, storing the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system includes:

[0182] Determine whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data exceeds a preset data volume threshold. If so, compress the underground structural features, the seismic wave propagation velocity, and the original seismic data and save them to the private cloud storage system.

[0183] In one optional embodiment, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0184] Example 5: This embodiment of the invention also provides a computer storage medium storing a computer program thereon. When the computer program is executed by the processor, it implements a seismic data acquisition method according to any embodiment, including:

[0185] Use a seismograph to acquire raw seismic data for a selected area in the field;

[0186] The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is transmitted to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point.

[0187] The nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0188] Extract subsurface structural features and seismic wave propagation velocity from the raw seismic data;

[0189] The underground structural features, the seismic wave propagation velocity, and the original seismic data are stored in the private cloud storage system.

[0190] In one optional embodiment, raw seismic data of a selected area in the field is acquired using a seismograph, including:

[0191] In the selected field area, seismic waves are generated using an artificial seismic source;

[0192] The seismic waves are collected using the seismograph and converted into the raw seismic data.

[0193] In one optional embodiment, extracting subsurface structural features and seismic wave propagation velocities from the raw seismic data includes:

[0194] The raw seismic data is cleaned to obtain the target seismic data;

[0195] The underground structural features and the seismic wave propagation velocity are extracted from the target seismic data.

[0196] In one optional embodiment, the raw seismic data is cleaned to obtain the target seismic data, including:

[0197] The original seismic data is denoised using filtering techniques to obtain seismic data.

[0198] Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them.

[0199] The system verifies whether there are missing data points in the earthquake data, and if so, uses interpolation to fill in the missing data points.

[0200] In an optional embodiment, storing the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system includes:

[0201] Determine whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data exceeds a preset data volume threshold. If so, compress the underground structural features, the seismic wave propagation velocity, and the original seismic data and save them to the private cloud storage system.

[0202] In one optional embodiment, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0203] Example 6: This embodiment of the invention also provides a computer program product, on which a computer program is stored. When the computer program is executed by the processor, it implements a seismic data acquisition method of any embodiment, including:

[0204] Use a seismograph to acquire raw seismic data for a selected area in the field;

[0205] The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is transmitted to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point.

[0206] The nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle; the 5G private network central base station communication vehicle is equipped with a private cloud storage system.

[0207] Extract subsurface structural features and seismic wave propagation velocity from the raw seismic data;

[0208] The underground structural features, the seismic wave propagation velocity, and the original seismic data are stored in the private cloud storage system.

[0209] In one optional embodiment, raw seismic data of a selected area in the field is acquired using a seismograph, including:

[0210] In the selected field area, seismic waves are generated using an artificial seismic source;

[0211] The seismic waves are collected using the seismograph and converted into the raw seismic data.

[0212] In one optional embodiment, extracting subsurface structural features and seismic wave propagation velocities from the raw seismic data includes:

[0213] The raw seismic data is cleaned to obtain the target seismic data;

[0214] The underground structural features and the seismic wave propagation velocity are extracted from the target seismic data.

[0215] In one optional embodiment, the raw seismic data is cleaned to obtain the target seismic data, including:

[0216] The original seismic data is denoised using filtering techniques to obtain seismic data.

[0217] Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them.

[0218] The system verifies whether there are missing data points in the earthquake data, and if so, uses interpolation to fill in the missing data points.

[0219] In an optional embodiment, storing the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system includes:

[0220] Determine whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data exceeds a preset data volume threshold. If so, compress the underground structural features, the seismic wave propagation velocity, and the original seismic data and save them to the private cloud storage system.

[0221] In one optional embodiment, the first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

[0222] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0223] In the several embodiments provided in this application, it should be understood that the methods, apparatuses, electronic devices, and storage media disclosed in this invention can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0224] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0225] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0226] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0227] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method of seismic data acquisition, characterized by, include: Use a seismograph to acquire raw seismic data for a selected area in the field; The seismograph is frequency-locked to a first preset frequency point, and the original seismic data is transmitted to the 5G nomadic station communication vehicle through the seismograph according to the first preset frequency point. The nomadic station communication vehicle uses an outdoor CPE device with a second preset frequency to transmit the raw seismic data back to the 5G private network central base station communication vehicle. The 5G private network central base station communication vehicle is equipped with a private cloud storage system; Extract subsurface structural features and seismic wave propagation velocity from the raw seismic data; The underground structural features, the seismic wave propagation velocity, and the original seismic data are stored in the private cloud storage system.

2. The seismic data acquisition method of claim 1, wherein, Raw seismic data for a selected area in the field is acquired using a seismograph, including: In the selected field area, seismic waves are generated using an artificial seismic source; The seismic waves are collected using the seismograph and converted into the raw seismic data.

3. The seismic data acquisition method of claim 1, wherein, Extracting subsurface structural features and seismic wave propagation velocities from the raw seismic data includes: The raw seismic data is cleaned to obtain the target seismic data; The underground structural features and the seismic wave propagation velocity are extracted from the target seismic data.

4. The seismic data acquisition method of claim 1, wherein, The raw seismic data is cleaned to obtain the target seismic data, including: The original seismic data is denoised using filtering techniques to obtain seismic data. Verify whether there are outliers in the seismic data, and if there are outliers, delete, replace or smooth them. The system verifies whether there are missing data points in the earthquake data, and if so, uses interpolation to fill in the missing data points.

5. The seismic data acquisition method of claim 1, wherein, Storing the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system includes: Determine whether the sum of the data volume of the underground structural features, the seismic wave propagation velocity, and the original seismic data exceeds a preset data volume threshold. If so, compress the underground structural features, the seismic wave propagation velocity, and the original seismic data and save them to the private cloud storage system.

6. The seismic data acquisition method according to claim 1, characterized in that, The first preset frequency is 700MHz; the second preset frequency is 4.9GHz.

7. A seismic data acquisition device, characterized in that, include: The acquisition module is used to acquire raw seismic data of a selected area in the field using a seismograph. The transmitting module is used to perform frequency locking processing on the seismograph at a first preset frequency point, and to transmit the original seismic data to the 5G nomadic station communication vehicle through the seismograph at the first preset frequency point. The backhaul module is used by the nomadic station communication vehicle to transmit the original seismic data back to the 5G private network central base station communication vehicle using an outdoor CPE device with a second preset frequency. The 5G private network central base station communication vehicle is equipped with a private cloud storage system; The extraction module is used to extract subsurface structural features and seismic wave propagation velocities from the raw seismic data; A storage module is used to store the underground structural features, the seismic wave propagation velocity, and the original seismic data in the private cloud storage system.

8. An electronic device, characterized in that, It includes a processor and a memory, the memory storing computer-readable instructions that, when executed by the processor, perform the method as described in any one of claims 1-6.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it performs the method as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1-6.

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