Seismic data correction method and device, equipment and storage medium

Abstract

The invention discloses a seismic data correction method and device, equipment and a storage medium, and belongs to the technical field of seismic exploration. The method comprises the following steps: respectively acquiring a first amplitude feature of a first detector and a second amplitude feature of a second detector, then determining a correction factor according to the first amplitude feature and the second amplitude feature, and finally correcting wavelet data collected by a near-field detector based on the correction factor to obtain corrected wavelet data. Therefore, according to the method, the near-field wavelet data is corrected through the correction factor, so that the difference between the near-field detector and the conventional detector is eliminated.

Description

Technical Field

[0001] The present application relates to the field of seismic exploration technology, and in particular to a seismic data correction method, device, equipment and storage medium. Background Art

[0002] Airguns are the most common seismic source in marine seismic data collection. They are composed of an optimized array of single guns and combination guns of different capacities to stimulate pulse signals. Near-field geophones are placed about 1 meter above each group of single guns and combination guns to collect near-field wavelet data. Near-field wavelet data was originally used to monitor the status of airguns. However, with the continuous advancement of marine seismic exploration technology, relevant personnel have discovered that near-field wavelet data can also be used in seismic data processing.

[0003] However, near-field geophones are different from conventional geophones, and the response characteristics of near-field geophones are quite different from those of conventional geophones. Conventional geophones are placed on the seabed to collect seabed seismic data. Therefore, in order to better apply near-field wavelet data to seismic data processing, it is necessary to first eliminate the differences between near-field geophones and conventional geophones. Summary of the invention

[0004] The embodiments of the present application provide a seismic data correction method, device, equipment and storage medium, which can correct near-field wavelet data, thereby eliminating the difference between near-field geophones and conventional geophones. The technical solution is as follows:

[0005] In one aspect, a method for correcting seismic data is provided, the method comprising:

[0006] Acquiring a first amplitude characteristic of a first geophone, where the first geophone is located below a seismic source and a distance between the first geophone and the seismic source is greater than a preset distance;

[0007] Acquiring a second amplitude characteristic of a second geophone, where the second geophone is located above the seismic source and the distance between the second geophone and the seismic source is less than the preset distance;

[0008] determining a correction factor based on the first amplitude characteristic and the second amplitude characteristic;

[0009] Acquire first wavelet data, where the first wavelet data is data collected by the second detector;

[0010] The first wavelet data is corrected based on the correction factor to obtain corrected wavelet data.

[0011] In a possible implementation manner, the acquiring a first amplitude feature of a first detector includes:

[0012] Obtaining the sensitivity, damping factor and natural frequency of the first detector;

[0013] Substituting the sensitivity, damping factor and natural frequency of the first detector into the first relationship data to obtain second relationship data; wherein the first relationship data is used to represent the relationship between amplitude, angular frequency, sensitivity, damping factor and natural frequency, and the second relationship data is used to represent the relationship between amplitude and angular frequency;

[0014] Based on the second relationship data, the first amplitude feature is determined.

[0015] In another possible implementation manner, determining the correction factor based on the first amplitude feature and the second amplitude feature includes:

[0016] Substitute the first amplitude feature and the second amplitude feature into third relationship data, solve the third relationship data by least square method, and obtain the correction factor; wherein the third relationship data is used to represent the relationship between the first amplitude feature, the second amplitude feature and the correction factor.

[0017] In another possible implementation, the acquiring the first wavelet data includes:

[0018] Get the number of seismic channels and sampling points;

[0019] Based on the number of seismic traces and the number of sampling points, obtaining second wavelet data;

[0020] The second wavelet data is subjected to superposition processing to obtain the first wavelet data.

[0021] In another possible implementation, the correcting the first wavelet data based on the correction factor to obtain the corrected wavelet data includes:

[0022] The correction factor is convolved with the first wavelet data to obtain the corrected wavelet data.

[0023] In another possible implementation, the method further includes:

[0024] Perform seismic imaging based on the corrected wavelet data; or simulate source wavelets based on the corrected wavelet data.

[0025] In another aspect, a seismic data correction device is provided, the device comprising:

[0026] A first acquisition module, used for acquiring a first amplitude characteristic of a first geophone, wherein the first geophone is located below a seismic source and the distance between the first geophone and the seismic source is greater than a preset distance;

[0027] A second acquisition module, used for acquiring a second amplitude characteristic of a second geophone, wherein the second geophone is located above the seismic source and the distance between the second geophone and the seismic source is less than the preset distance;

[0028] A determination module, configured to determine a correction factor based on the first amplitude characteristic and the second amplitude characteristic;

[0029] A third acquisition module, used to acquire first wavelet data, where the first wavelet data is data collected by the second detector;

[0030] The correction module is used to correct the first wavelet data based on the correction factor to obtain corrected wavelet data.

[0031] In a possible implementation, the first acquisition module is used to acquire the sensitivity, damping factor and natural frequency of the first detector; the sensitivity, damping factor and natural frequency of the first detector are substituted into the first relationship data to obtain the second relationship data; wherein the first relationship data is used to represent the relationship between amplitude, angular frequency, sensitivity, damping factor and natural frequency, and the second relationship data is used to represent the relationship between amplitude and angular frequency; based on the second relationship data, the first amplitude characteristic is determined.

[0032] In another possible implementation, the determination module is used to substitute the first amplitude feature and the second amplitude feature into third relationship data, solve the third relationship data by least squares method, and obtain the correction factor; wherein the third relationship data is used to represent the relationship between the first amplitude feature, the second amplitude feature and the correction factor.

[0033] In another possible implementation, the third acquisition module is used to obtain the number of seismic traces and the number of sampling points; obtain the second wavelet data based on the number of seismic traces and the number of sampling points; and perform superposition processing on the second wavelet data to obtain the first wavelet data.

[0034] In another possible implementation manner, the correction module is configured to perform convolution processing on the correction factor and the first wavelet data to obtain the corrected wavelet data.

[0035] In another possible implementation, the device further includes:

[0036] A processing module is used to perform seismic imaging based on the corrected wavelet data; or to simulate source wavelets based on the corrected wavelet data.

[0037] On the other hand, an electronic device is provided, comprising a processor and a memory, wherein the memory stores at least one program code, and the at least one program code is loaded and executed by the processor to implement any of the above-mentioned seismic data correction methods.

[0038] On the other hand, a computer-readable storage medium is provided, in which at least one program code is stored. The at least one program code is loaded and executed by a processor to implement any of the above-mentioned seismic data correction methods.

[0039] On the other hand, a computer program product is provided, wherein at least one program code is stored in the computer program product, and the at least one program code is loaded and executed by a processor to implement any of the above-mentioned seismic data correction methods.

[0040] The embodiment of the present application provides a method for correcting seismic data, which first obtains a first amplitude characteristic of a conventional geophone, i.e., a first geophone, and a second amplitude characteristic of a near-field geophone, i.e., a second geophone, respectively, and then determines a correction factor based on the first amplitude characteristic and the second amplitude characteristic, and finally corrects the wavelet data collected by the near-field geophone based on the correction factor to obtain the corrected wavelet data. It can be seen that the method corrects the near-field wavelet data by the correction factor, thereby eliminating the difference between the near-field geophone and the conventional geophone.

[0041] It is to be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of an implementation environment of a seismic data correction method provided in an embodiment of the present application;

[0043] Figure 2 is a flow chart of a seismic data correction method provided in an embodiment of the present application;

[0044] Figure 3 is a schematic diagram of an amplitude characteristic curve of a first detector provided in an embodiment of the present application;

[0045] Figure 4 is a schematic diagram of an amplitude characteristic curve of a second detector provided in an embodiment of the present application;

[0046] Figure 5 is a schematic diagram of a correction factor in the time domain provided in an embodiment of the present application;

[0047] Figure 6 is a cross-sectional view of a first wavelet data provided in an embodiment of the present application;

[0048] Figure 7 is a cross-sectional view of corrected wavelet data provided in an embodiment of the present application;

[0049] Figure 8 It is a structural schematic diagram of a seismic data correction device provided in an embodiment of the present application;

[0050] Fig. 9 It is a structural block diagram of a terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to make the technical solutions and advantages of the present application clearer, the implementation methods of the present application are described in further detail below.

[0052] The terms "first", "second", "third" and "fourth" etc. in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0053] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions. For example, the amplitude characteristics and wavelet data involved in this application are all obtained with full authorization.

[0054] Figure 1 is a schematic diagram of an implementation environment of a seismic data correction method provided in an embodiment of the present application, see Figure 1 The implementation environment includes: an electronic device, which may be provided as a terminal 101, or provided as a terminal 101 and a server 102, and is not specifically limited thereto. If the electronic device is provided as a terminal 101 and a server 102, the terminal 101 and the server 102 are connected via a wireless or wired network.

[0055] If the electronic device is provided as the terminal 101 , the terminal 101 corrects the near-field wavelet data.

[0056] If the electronic device is provided as a terminal 101 and a server 102, a target application is installed on the terminal 101, and the terminal 101 can correct the near-field wavelet data based on the target application. The server 102 can provide background services for the target application. Among them, the server 102 can undertake the main computing work, and the terminal 101 can undertake the secondary computing work; or, the server 102 undertakes the secondary computing work, and the terminal 101 undertakes the main computing work; or, the server 102 and the terminal 101 adopt a distributed computing architecture for collaborative computing.

[0057] The terminal 101 is at least one of a mobile phone, a tablet computer, a PC (Personal Computer), an intelligent voice interaction device, a vehicle-mounted terminal, etc. The server 102 can be at least one of a server, a server cluster consisting of multiple servers, a cloud server, a cloud computing platform, and a virtualization center.

[0058] Figure 2 is a flow chart of a seismic data correction method provided in an embodiment of the present application, which is executed by an electronic device, see Figure 2 , the method comprising:

[0059] Step 201: The electronic device obtains a first amplitude characteristic of a first detector.

[0060] The first geophone is located below the earthquake source, and the distance between the first geophone and the earthquake source is greater than a preset distance, that is, the first geophone is a conventional geophone, which is placed on the seabed and is used to collect seabed seismic data.

[0061] In the embodiment of the present application, the electronic device can obtain the first amplitude characteristic through any of the following implementation methods.

[0062] In a first implementation, the electronic device obtains a first amplitude characteristic provided by a device manufacturer of a conventional detector. The process may be: the electronic device obtains an input first amplitude characteristic.

[0063] In a second implementation, the electronic device simulates the amplitude characteristics of a conventional detector through the key parameters of the conventional detector. The process may be: the electronic device obtains the sensitivity, damping factor and natural frequency of the first detector; substitutes the sensitivity, damping factor and natural frequency of the first detector into the first relationship data to obtain the second relationship data; and determines the first amplitude characteristic based on the second relationship data. The first relationship data is used to represent the relationship between amplitude, angular frequency, sensitivity, damping factor and natural frequency, and the second relationship data is used to represent the relationship between amplitude and angular frequency.

[0064] In this implementation, the first relationship data can be expressed as:

[0065]

[0066] Among them, H1(jω) represents the amplitude of the first detector, G1 represents the sensitivity of the first detector, ω represents the angular frequency, ω1 represents the natural frequency of the first detector, κ1 represents the damping factor of the first detector, j represents the imaginary unit, and ω=2πω1.

[0067] According to the first relationship data, after the electronic device substitutes the sensitivity, damping factor and natural frequency of the first detector into the first relationship data, only the angular frequency and amplitude are unknown quantities in the obtained second relationship data, and the amplitude changes with the change of the angular frequency. Therefore, the first amplitude feature can be determined according to the second relationship data.

[0068] The following is an example of a four-component bottom node geophone and a type of near-field geophone collected by an OBN (Ocean Bottom Node) seismic exploration project. The three key parameters of the bottom node geophone, i.e., the first geophone, are ω1=5, G1=13.8, and κ1=0.7. Substituting these three key parameters into the first relational data, the second relational data is obtained. The amplitude characteristic curve of the first detector can be determined according to the second relationship data, such as Figure 3 shown.

[0069] Step 202: The electronic device obtains a second amplitude characteristic of a second detector.

[0070] The second geophone is located above the earthquake source, and the distance between the second geophone and the earthquake source is less than the preset distance, that is, the second geophone is a near-field geophone, which is placed about 1 meter above the earthquake source.

[0071] In this step, the electronic device can obtain the second amplitude characteristic provided by the equipment manufacturer of the near-field detector, or simulate the amplitude characteristic of the near-field detector through the key parameters of the near-field detector. The process of the electronic device simulating the amplitude characteristic of the near-field detector through the key parameters of the near-field detector is similar to the second implementation method in step 201, which is to first obtain the sensitivity, damping factor and natural frequency of the second detector, and then substitute the sensitivity, damping factor and natural frequency of the second detector into the fourth relationship data to obtain the fifth relationship data, and determine the second amplitude characteristic based on the fifth relationship data, which will not be repeated here.

[0072] In the embodiment of the present application, the fourth relationship data can be expressed as:

[0073]

[0074] Wherein, H2(jω) represents the amplitude of the second detector, G2 represents the sensitivity of the second detector, ω represents the angular frequency, ω2 represents the natural frequency of the second detector, and κ2 represents the damping factor of the second detector.

[0075] For example, the three key parameters of the second detector are ω2=14, G2=14.2, κ2=0.41. Substituting these three key parameters into the fourth relationship data, the fifth relationship data is obtained. According to the fifth relationship data, the amplitude characteristic curve of the second detector can be determined, such as Figure 4 shown.

[0076] It should be noted that, since the second relationship data and the fifth relationship data include imaginary units, the amplitude in the first amplitude feature is the absolute value of H1(jw), and the amplitude in the second amplitude feature is the absolute value of H2(jw).

[0077] Step 203: The electronic device determines a correction factor based on the first amplitude characteristic and the second amplitude characteristic.

[0078] The electronic device uses the second amplitude feature as input and the first amplitude feature as output, substitutes the first amplitude feature and the second amplitude feature into the third relationship data, solves the third relationship data by the least square method, and obtains the correction factor. The third relationship data is used to represent the relationship between the first amplitude feature, the second amplitude feature, and the correction factor.

[0079] In the embodiment of the present application, the third relationship data can be expressed as: H2(jω)*α(jω)=H1(jω); wherein α(jω) represents a correction factor. Figure 5 , Figure 5 is the time domain form of the correction factor.

[0080] Step 204: The electronic device obtains first wavelet data.

[0081] The first sub-wave data is the data collected by the second detector.

[0082] In this step, the electronic device first obtains the number of seismic channels and sampling points in the target work area, and then obtains the second wavelet data based on the number of seismic channels and sampling points; and performs stacking processing on the second wavelet data to obtain the first wavelet data. It can be seen that the first wavelet data is post-stack data.

[0083] In this implementation, the number of sampling points is the number of sampling points of one seismic trace. The electronic device obtains the second wavelet data collected by the second detector, performs dynamic correction and / or static correction superposition processing on the second wavelet data, and obtains the first wavelet data. The first wavelet data can be expressed as Wherein, x=1, 2, 3...m, y=1, 2, 3...n, m is the total number of sampling points, and n is the total number of seismic traces.

[0084] For example, if the number of sampling points and the number of seismic channels are 401 and 2280 respectively, the profile of the first wavelet data acquired by the electronic device is as follows: Figure 6 shown.

[0085] Step 205: the electronic device corrects the first wavelet data based on the correction factor to obtain corrected wavelet data.

[0086] The electronic device performs convolution processing on the correction factor and the first wavelet data to obtain the corrected wavelet data. This process can be expressed as: in, Represents the corrected wavelet data.

[0087] See also Figure 7 , Figure 7 is the profile of the corrected wavelet data. Figure 6 and Figure 7 It can be seen that the event axes of the corrected wavelet data are more continuous and the distribution between axis groups is more reasonable.

[0088] In the embodiment of the present application, the corrected wavelet data can be applied to the following two aspects: first, shallow seismic imaging is performed using the corrected near-field wavelet data, that is, the electronic device performs seismic imaging based on the corrected wavelet data, so as to make up for the lack of shallow seismic data in marine towed cable seismic acquisition or other sparse observation systems, and improve the quality of shallow seismic imaging; second, the far-field wavelet data is simulated using the corrected near-field wavelet data, that is, the electronic device simulates the source wavelet based on the corrected wavelet data, and then uses the simulated source wavelet, that is, the far-field wavelet data, to perform deterministic deconvolution on the marine seismic data, so as to eliminate the influence of the directionality of the marine seismic acquisition airgun source on the seismic data. Among them, the process of the electronic device performing seismic imaging based on the corrected wavelet data and the process of simulating the far-field wavelet data can be realized by the methods in the relevant technology, which will not be repeated here.

[0089] The embodiment of the present application provides a method for correcting seismic data, which first obtains a first amplitude characteristic of a conventional geophone, i.e., a first geophone, and a second amplitude characteristic of a near-field geophone, i.e., a second geophone, respectively, and then determines a correction factor based on the first amplitude characteristic and the second amplitude characteristic, and finally corrects the wavelet data collected by the near-field geophone based on the correction factor to obtain the corrected wavelet data. It can be seen that the method corrects the near-field wavelet data by the correction factor, thereby eliminating the difference between the near-field geophone and the conventional geophone.

[0090] Figure 8is a structural diagram of a seismic data correction device provided in an embodiment of the present application, see Figure 8 , the device comprises:

[0091] A first acquisition module 801 is used to acquire a first amplitude characteristic of a first geophone, where the first geophone is located below a seismic source and the distance between the first geophone and the seismic source is greater than a preset distance;

[0092] A second acquisition module 802 is used to acquire a second amplitude characteristic of a second geophone, where the second geophone is located above the seismic source and the distance between the second geophone and the seismic source is less than a preset distance;

[0093] A determination module 803, configured to determine a correction factor based on the first amplitude feature and the second amplitude feature;

[0094] A third acquisition module 804 is used to acquire first wavelet data, where the first wavelet data is data collected by the second detector;

[0095] The correction module 805 is used to correct the first wavelet data based on the correction factor to obtain corrected wavelet data.

[0096] In one possible implementation, the first acquisition module 801 is used to obtain the sensitivity, damping factor and natural frequency of the first detector; the sensitivity, damping factor and natural frequency of the first detector are substituted into the first relationship data to obtain the second relationship data; wherein the first relationship data is used to represent the relationship between amplitude, angular frequency, sensitivity, damping factor and natural frequency, and the second relationship data is used to represent the relationship between amplitude and angular frequency; based on the second relationship data, the first amplitude characteristic is determined.

[0097] In another possible implementation, the determination module 803 is used to substitute the first amplitude feature and the second amplitude feature into the third relationship data, solve the third relationship data by the least squares method, and obtain the correction factor; wherein the third relationship data is used to represent the relationship between the first amplitude feature, the second amplitude feature and the correction factor.

[0098] In another possible implementation, the third acquisition module 804 is used to obtain the number of seismic traces and the number of sampling points; obtain the second wavelet data based on the number of seismic traces and the number of sampling points; and perform superposition processing on the second wavelet data to obtain the first wavelet data.

[0099] In another possible implementation, the correction module 805 is configured to perform convolution processing on the correction factor and the first wavelet data to obtain corrected wavelet data.

[0100] In another possible implementation, the device further includes:

[0101] The processing module is used to perform seismic imaging based on the corrected wavelet data; or to simulate source wavelets based on the corrected wavelet data.

[0102] The embodiment of the present application provides a seismic data correction device, which first obtains the first amplitude characteristic of the conventional geophone, i.e., the first geophone, and the second amplitude characteristic of the near-field geophone, i.e., the second geophone, respectively, and then determines the correction factor according to the first amplitude characteristic and the second amplitude characteristic, and finally corrects the wavelet data collected by the near-field geophone based on the correction factor to obtain the corrected wavelet data. It can be seen that the device corrects the near-field wavelet data by the correction factor, thereby eliminating the difference between the near-field geophone and the conventional geophone.

[0103] refer to Fig. 9 , Fig. 9 The structure block diagram of a terminal 900 provided by an exemplary embodiment of the present application is shown. The terminal 900 may be a portable mobile terminal, such as a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III), an MP4 player (Moving Picture Experts Group Audio Layer IV), a laptop computer or a desktop computer. The terminal 900 may also be called a user device, a portable terminal, a laptop terminal, a desktop terminal or other names.

[0104] Typically, the terminal 900 includes a processor 901 and a memory 902 .

[0105] The processor 901 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 901 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 901 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 901 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 901 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0106] The memory 902 may include one or more computer-readable storage media, which may be non-transitory. The memory 902 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 902 is used to store at least one program code, which is used to be executed by the processor 901 to implement the seismic data correction method provided in the method embodiment of the present application.

[0107] In some embodiments, the terminal 900 may further optionally include: a peripheral device interface 903 and at least one peripheral device. The processor 901, the memory 902 and the peripheral device interface 903 may be connected via a bus or a signal line. Each peripheral device may be connected to the peripheral device interface 903 via a bus, a signal line or a circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 904, a display screen 905, a camera assembly 906, an audio circuit 907 and a power supply 908.

[0108] The peripheral device interface 903 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 901 and the memory 902. In some embodiments, the processor 901, the memory 902, and the peripheral device interface 903 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 901, the memory 902, and the peripheral device interface 903 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

[0109] The radio frequency circuit 904 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 904 communicates with communication networks and other communication devices through electromagnetic signals. The radio frequency circuit 904 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals into electrical signals. Optionally, the radio frequency circuit 904 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, and the like. The radio frequency circuit 904 can communicate with other terminals through at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G and 5G), a wireless local area network and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 904 may also include circuits related to NFC (Near Field Communication), which is not limited in this application.

[0110] The display screen 905 is used to display the UI (User Interface). The UI may include graphics, text, icons, videos, and any combination thereof. When the display screen 905 is a touch display screen, the display screen 905 also has the ability to collect touch signals on the surface or above the surface of the display screen 905. The touch signal can be input to the processor 901 as a control signal for processing. At this time, the display screen 905 can also be used to provide virtual buttons and / or virtual keyboards, also known as soft buttons and / or soft keyboards. In some embodiments, the display screen 905 can be one, set on the front panel of the terminal 900; in other embodiments, the display screen 905 can be at least two, respectively set on different surfaces of the terminal 900 or in a folding design; in other embodiments, the display screen 905 can be a flexible display screen, set on the curved surface or folding surface of the terminal 900. Even, the display screen 905 can also be set to a non-rectangular irregular shape, that is, a special-shaped screen. The display screen 905 can be made of materials such as LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode, organic light-emitting diode).

[0111] The camera assembly 906 is used to capture images or videos. Optionally, the camera assembly 906 includes a front camera and a rear camera. Typically, the front camera is arranged on the front panel of the terminal, and the rear camera is arranged on the back of the terminal. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth of field camera, a wide-angle camera, and a telephoto camera, so as to realize the fusion of the main camera and the depth of field camera to realize the background blur function, the fusion of the main camera and the wide-angle camera to realize panoramic shooting and VR (Virtual Reality) shooting function or other fusion shooting functions. In some embodiments, the camera assembly 906 may also include a flash. The flash can be a monochrome temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cold light flash, which can be used for light compensation at different color temperatures.

[0112] The audio circuit 907 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, and convert the sound waves into electrical signals and input them into the processor 901 for processing, or input them into the radio frequency circuit 904 to achieve voice communication. For the purpose of stereo acquisition or noise reduction, there may be multiple microphones, which are respectively arranged at different parts of the terminal 900. The microphone may also be an array microphone or an omnidirectional acquisition microphone. The speaker is used to convert the electrical signal from the processor 901 or the radio frequency circuit 904 into sound waves. The speaker may be a traditional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert the electrical signal into sound waves audible to humans, but also convert the electrical signal into sound waves inaudible to humans for purposes such as ranging. In some embodiments, the audio circuit 907 may also include a headphone jack.

[0113] The power supply 908 is used to power various components in the terminal 900. The power supply 908 can be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 908 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery charged through a wired line, and a wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0114] In some embodiments, the terminal 900 further includes one or more sensors 909 . The one or more sensors 909 include, but are not limited to: an acceleration sensor 910 , a gyroscope sensor 911 , a pressure sensor 912 , an optical sensor 913 , and a proximity sensor 914 .

[0115] The acceleration sensor 910 can detect the magnitude of acceleration on the three coordinate axes of the coordinate system established by the terminal 900. For example, the acceleration sensor 910 can be used to detect the components of gravity acceleration on the three coordinate axes. The processor 901 can control the display screen 905 to display the user interface in a horizontal view or a vertical view based on the gravity acceleration signal collected by the acceleration sensor 910. The acceleration sensor 910 can also be used for collecting game or user motion data.

[0116] The gyro sensor 911 can detect the body direction and rotation angle of the terminal 900, and the gyro sensor 911 can cooperate with the acceleration sensor 910 to collect the user's 3D actions on the terminal 900. Based on the data collected by the gyro sensor 911, the processor 901 can implement the following functions: motion sensing (such as changing the UI based on the user's tilt operation), image stabilization during shooting, game control, and inertial navigation.

[0117] The pressure sensor 912 can be set in the side frame of the terminal 900 and / or the lower layer of the display screen 905. When the pressure sensor 912 is set in the side frame of the terminal 900, the user's holding signal of the terminal 900 can be detected, and the processor 901 performs left and right hand recognition or shortcut operation based on the holding signal collected by the pressure sensor 912. When the pressure sensor 912 is set in the lower layer of the display screen 905, the processor 901 controls the operability controls on the UI interface based on the user's pressure operation on the display screen 905. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

[0118] The optical sensor 913 is used to collect the ambient light intensity. In one embodiment, the processor 901 can control the display brightness of the display screen 905 based on the ambient light intensity collected by the optical sensor 913. Specifically, when the ambient light intensity is high, the display brightness of the display screen 905 is increased; when the ambient light intensity is low, the display brightness of the display screen 905 is reduced. In another embodiment, the processor 901 can also dynamically adjust the shooting parameters of the camera component 906 based on the ambient light intensity collected by the optical sensor 913.

[0119] The proximity sensor 914, also called a distance sensor, is usually arranged on the front panel of the terminal 900. The proximity sensor 914 is used to collect the distance between the user and the front of the terminal 900. In one embodiment, when the proximity sensor 914 detects that the distance between the user and the front of the terminal 900 is gradually decreasing, the processor 901 controls the display screen 905 to switch from the screen-on state to the screen-off state; when the proximity sensor 914 detects that the distance between the user and the front of the terminal 900 is gradually increasing, the processor 901 controls the display screen 905 to switch from the screen-off state to the screen-on state.

[0120] Those skilled in the art will understand that Fig. 9 The structure shown in the figure does not constitute a limitation on the terminal 900, and the terminal 900 may include more or less components than those shown in the figure, or combine some components, or adopt a different component arrangement.

[0121] In an exemplary embodiment, a computer-readable storage medium is also provided, which stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the seismic data correction method in the above embodiment.

[0122] In an exemplary embodiment, a computer program product is also provided. The computer program product stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the seismic data correction method in the above embodiment.

[0123] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0124] The above description is only for the purpose of facilitating those skilled in the art to understand the technical solution of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A seismic data correction method, characterized in that: The method comprises: Acquiring a first amplitude characteristic of a first geophone, where the first geophone is located below a seismic source and a distance between the first geophone and the seismic source is greater than a preset distance; Acquiring a second amplitude characteristic of a second geophone, where the second geophone is located above the seismic source and the distance between the second geophone and the seismic source is less than the preset distance; determining a correction factor based on the first amplitude characteristic and the second amplitude characteristic; Acquire first wavelet data, where the first wavelet data is data collected by the second detector; The first wavelet data is corrected based on the correction factor to obtain corrected wavelet data.

2. The method according to claim 1, characterized in that: The obtaining of the first amplitude characteristic of the first detector comprises: Obtaining the sensitivity, damping factor and natural frequency of the first detector; Substituting the sensitivity, damping factor and natural frequency of the first detector into the first relationship data to obtain second relationship data; wherein the first relationship data is used to represent the relationship between amplitude, angular frequency, sensitivity, damping factor and natural frequency, and the second relationship data is used to represent the relationship between amplitude and angular frequency; Based on the second relationship data, the first amplitude feature is determined.

3. The method according to claim 1, characterized in that The determining of the correction factor based on the first amplitude characteristic and the second amplitude characteristic comprises: Substitute the first amplitude feature and the second amplitude feature into third relationship data, solve the third relationship data by least square method, and obtain the correction factor; wherein the third relationship data is used to represent the relationship between the first amplitude feature, the second amplitude feature and the correction factor.

4. The method according to claim 1, characterized in that The step of obtaining the first wavelet data comprises: Get the number of seismic channels and sampling points; Based on the number of seismic traces and the number of sampling points, obtaining second wavelet data; The second wavelet data is subjected to superposition processing to obtain the first wavelet data.

5. The method according to claim 1, characterized in that The step of correcting the first wavelet data based on the correction factor to obtain corrected wavelet data includes: The correction factor is convolved with the first wavelet data to obtain the corrected wavelet data.

6. The method according to claim 1, characterized in that The method further comprises: Perform seismic imaging based on the corrected wavelet data; or simulate source wavelets based on the corrected wavelet data.

7. A seismic data correction device, characterized in that: The device comprises: A first acquisition module, used for acquiring a first amplitude characteristic of a first geophone, wherein the first geophone is located below a seismic source and the distance between the first geophone and the seismic source is greater than a preset distance; A second acquisition module, used for acquiring a second amplitude characteristic of a second geophone, wherein the second geophone is located above the seismic source and the distance between the second geophone and the seismic source is less than the preset distance; A determination module, configured to determine a correction factor based on the first amplitude characteristic and the second amplitude characteristic; A third acquisition module, used to acquire first wavelet data, where the first wavelet data is data collected by the second detector; The correction module is used to correct the first wavelet data based on the correction factor to obtain corrected wavelet data.

8. An electronic device, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores at least one program code, and the at least one program code is loaded and executed by the processor to implement the seismic data correction method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: At least one program code is stored in the computer-readable storage medium, and the at least one program code is loaded and executed by the processor to implement the seismic data correction method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the seismic data correction method according to any one of claims 1 to 6.

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