Seismic data correction methods, devices, equipment and storage media

Abstract

This application discloses a seismic data correction method, apparatus, device, and storage medium, belonging to the field of seismic exploration technology. The method first acquires the first amplitude characteristics of a first geophone and the second amplitude characteristics of a second geophone. Then, based on the first and second amplitude characteristics, a correction factor is determined. Finally, the wavelet data acquired by the near-field geophone is corrected based on the correction factor to obtain the corrected wavelet data. Therefore, this method corrects the near-field wavelet data using a correction factor, thereby eliminating the differences between the near-field geophone and conventional geophones.

Description

Technical Field

[0001] This application relates to the field of seismic exploration technology, and in particular to a seismic data correction method, apparatus, equipment, and storage medium. Background Technology

[0002] Air guns are the most common seismic sources in marine seismic data acquisition. They consist of optimized arrays of single guns and combinations of guns with different capacities, generating pulse signals. Near-field detectors are placed approximately 1 meter above each single gun and combination to acquire near-field wavelet data. This near-field wavelet data was initially used to monitor the status of the air guns. However, with the continuous advancement of marine seismic exploration technology, researchers have discovered that near-field wavelet data can also be applied to seismic data processing.

[0003] However, near-field geophones differ from conventional geophones in that their response characteristics differ significantly. Conventional geophones are placed on the seabed to acquire seabed seismic data. Therefore, to better apply near-field wavelet data to seismic data processing, it is necessary to first eliminate the differences between near-field and conventional geophones. Summary of the Invention

[0004] This application provides a seismic data correction method, apparatus, device, and storage medium, which can correct near-field wavelet data, thereby eliminating the differences between near-field detectors and conventional detectors. The technical solution is as follows:

[0005] On the one hand, a seismic data correction method is provided, the method comprising:

[0006] Obtain the first amplitude characteristic of the first detector, which is located below the vibration source and at a distance greater than a preset distance.

[0007] Acquire the second amplitude characteristics of the second detector, which is located above the vibration source and at a distance less than the preset distance;

[0008] Based on the first amplitude feature and the second amplitude feature, a correction factor is determined;

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

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

[0011] In one possible implementation, obtaining the first amplitude characteristic of the first detector includes:

[0012] Obtain 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 relational data, a second relational data is obtained; wherein, the first relational data is used to represent the relationship between amplitude, angular frequency, sensitivity, damping factor, and natural frequency, and the second relational 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, 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 the third relational data, and solve the third relational data using the least squares method to obtain the correction factor; wherein, the third relational 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, acquiring the first wavelet data includes:

[0018] Obtain the number of seismic traces and sampling points;

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

[0020] The second wavelet data is superimposed to obtain the first wavelet data.

[0021] In another possible implementation, the step of correcting the first wavelet data based on the correction factor to obtain 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] Seismic imaging is performed based on the corrected wavelet data; or, source wavelets are simulated based on the corrected wavelet data.

[0025] On the other hand, a seismic data correction device is provided, the device comprising:

[0026] The first acquisition module is used to acquire the first amplitude characteristics of the first detector, wherein the first detector is located below the vibration source and the distance between the detector and the vibration source is greater than a preset distance.

[0027] The second acquisition module is used to acquire the second amplitude characteristics of the second detector, wherein the second detector is located above the vibration source and the distance between the detector and the vibration source is less than the preset distance;

[0028] The determination module is used to determine the correction factor based on the first amplitude feature and the second amplitude feature;

[0029] The third acquisition module is used to acquire the first wavelet data, which is the 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 the corrected wavelet data.

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

[0032] In another possible implementation, the determining module is used to substitute the first amplitude feature and the second amplitude feature into the third relation data, and solve the third relation data by the least squares method to obtain the correction factor; wherein, the third relation 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 acquire the number of seismic traces and the number of sampling points; acquire 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, the correction module is used 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] The processing module is used to perform seismic imaging based on the corrected wavelet data; or to simulate the source wavelet 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 piece of program code, which is loaded and executed by the processor to implement the seismic data correction method described in any of the preceding claims.

[0038] On the other hand, a computer-readable storage medium is provided, wherein at least one piece of program code is stored therein, the at least one piece of program code being loaded and executed by a processor to implement the seismic data correction method described in any of the preceding claims.

[0039] On the other hand, a computer program product is provided, wherein at least one piece of program code is stored in the computer program product, the at least one piece of program code being loaded and executed by a processor to implement the seismic data correction method described in any of the preceding claims.

[0040] This application provides a seismic data correction method. The method first acquires the first amplitude characteristics of a conventional geophone (a first geophone) and the second amplitude characteristics of a near-field geophone (a second geophone). Then, based on the first and second amplitude characteristics, a correction factor is determined. Finally, the wavelet data acquired by the near-field geophone is corrected based on the correction factor to obtain the corrected wavelet data. Therefore, this method corrects the near-field wavelet data using a correction factor, thereby eliminating the differences between the near-field geophone and the conventional geophone.

[0041] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit this disclosure. Attached Figure Description

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

[0043] Figure 2 This is a flowchart of a seismic data correction method provided in an embodiment of this application;

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

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

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

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

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

[0049] Figure 8 This is a schematic diagram of the structure of a seismic data correction device provided in an embodiment of this application;

[0050] Figure 9 This is a structural block diagram of a terminal provided in an embodiment of this application. Detailed Implementation

[0051] To make the technical solution and advantages of this application clearer, the embodiments of this application will be described in further detail below.

[0052] The terms "first," "second," "third," and "fourth," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0053] It should be noted that all 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 have been authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. For example, the amplitude characteristics and wavelet data involved in this application were obtained with full authorization.

[0054] Figure 1 This is a schematic diagram illustrating the implementation environment of a seismic data correction method provided in an embodiment of this application. See also... Figure 1 The implementation environment includes an electronic device, which can be provided as terminal 101, or as terminal 101 and server 102, without specific limitation. If the electronic device is provided as terminal 101 and server 102, then terminal 101 and server 102 are connected via a wireless or wired network.

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

[0056] If the electronic device provides a terminal 101 and a server 102, the terminal 101 has a target application installed, 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. Specifically, the server 102 can undertake the main computational work, and the terminal 101 can undertake secondary computational work; or, the server 102 can undertake secondary computational work, and the terminal 101 can undertake the main computational work; or, the server 102 and the terminal 101 can collaborate on computation using a distributed computing architecture.

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

[0058] Figure 2 This is a flowchart of a seismic data correction method provided in an embodiment of this application, executed by an electronic device. See also... Figure 2 The method includes:

[0059] Step 201: The electronic device acquires the first amplitude characteristics of the first detector.

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

[0061] In the embodiments of this application, the electronic device can obtain the first amplitude feature through any of the following implementation methods.

[0062] In the first implementation, the electronic device acquires the first amplitude characteristic provided by the equipment manufacturer of the conventional detector. This process can be described as follows: the electronic device acquires the first amplitude characteristic of the input.

[0063] In the second implementation, the electronic device simulates the amplitude characteristics of a conventional detector using key parameters of the conventional detector. This process can be as follows: the electronic device acquires the sensitivity, damping factor, and natural frequency of the first detector; substitutes the sensitivity, damping factor, and natural frequency of the first detector into first relational data to obtain second relational data; and determines the first amplitude characteristic based on the second relational data. The first relational data represents the relationship between amplitude, angular frequency, sensitivity, damping factor, and natural frequency, while the second relational data represents the relationship between amplitude and angular frequency.

[0064] In this implementation, the first relational data can be represented as:

[0065]

[0066] Where 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 relational data, after the electronic device substitutes the sensitivity, damping factor, and natural frequency of the first detector into the first relational data, the only unknowns in the resulting second relational data are the angular frequency and amplitude, and the amplitude changes with the angular frequency. Therefore, the first amplitude characteristic can be determined based on the second relational data.

[0068] The following explanation uses a four-component seabed node geophone and a certain type of near-field geophone acquired from a certain OBN (Ocean Bottom Node) seismic exploration project as examples. The three key parameters of the seabed 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 yields the second relational data. The amplitude characteristic curve of the first detector can be determined based on the second relationship data, such as... Figure 3 As shown.

[0069] Step 202: The electronic device acquires the second amplitude characteristics of the second detector.

[0070] The second detector is located above the seismic source, and the distance between it and the seismic source is less than the preset distance. That is, the second detector is a near-field detector, placed about 1 meter above the seismic source.

[0071] In this step, the electronic device can obtain the second amplitude characteristics provided by the near-field detector manufacturer, or simulate the amplitude characteristics of the near-field detector using its key parameters. The process of simulating the amplitude characteristics of the near-field detector using its key parameters is similar to the second implementation method in step 201. It first obtains the sensitivity, damping factor, and natural frequency of the second detector, then substitutes these parameters into the fourth relational data to obtain the fifth relational data. Based on the fifth relational data, the second amplitude characteristics are determined. This will not be elaborated further here.

[0072] In this embodiment of the application, the fourth relation data can be represented as:

[0073]

[0074] Where 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, and κ2 = 0.41. Substituting these three key parameters into the fourth relational data yields the fifth relational data. The amplitude characteristic curve of the second detector can be determined based on the fifth relationship data, such as... Figure 4 As shown.

[0076] It should be noted that since the second and fifth relational 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 the correction factor based on the first amplitude feature and the second amplitude feature.

[0078] The electronic device takes the second amplitude feature as input and the first amplitude feature as output. It substitutes the first and second amplitude features into the third relational data and solves the third relational data using the least squares method to obtain the correction factor. The third relational data represents the relationship between the first amplitude feature, the second amplitude feature, and the correction factor.

[0079] In this embodiment, the third relation data can be represented as: H2(jω)*α(jω)=H1(jω); where α(jω) represents the correction factor. See also Figure 5 , Figure 5 The time-domain form of the correction factor.

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

[0081] The first wavelet data is the data acquired by the second detector.

[0082] In this step, the electronic device first acquires the number of seismic traces and sampling points in the target work area, and then acquires the second wavelet data based on the number of seismic traces and sampling points; the second wavelet data is then superimposed to obtain the first wavelet data. It can be seen that the first wavelet data is post-stacked data.

[0083] In this implementation, the number of sampling points is the same as that of a single seismic trace. The electronic device acquires the second wavelet data collected by the second detector, performs dynamic and / or static correction superposition processing on the second wavelet data, and obtains the first wavelet data. The first wavelet data can be represented as... Where 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 traces are 401 and 2280 respectively, then the profile of the first wavelet data acquired by the electronic equipment is as follows: Figure 6 As shown.

[0085] Step 205: The electronic device corrects the first wavelet data based on the correction factor to obtain the 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 represented as: in, This represents the corrected wavelet data.

[0087] See Figure 7 , Figure 7 This is a profile of the corrected wavelet data. Based on... Figure 6 and Figure 7 It can be seen that the corrected wavelet data has more continuous phase axes and a more reasonable distribution among axis groups.

[0088] In this embodiment, the corrected wavelet data can be applied to the following two aspects: First, shallow seismic imaging can be performed using the corrected near-field wavelet data, i.e., the electronic device performs seismic imaging based on the corrected wavelet data, thereby compensating for the lack of shallow seismic data in marine towed seismic acquisition or other sparse observation systems and improving the quality of shallow seismic imaging; Second, far-field wavelet data can be simulated using the corrected near-field wavelet data, i.e., the electronic device simulates the source wavelet based on the corrected wavelet data, and then uses the simulated source wavelet, i.e., the far-field wavelet data, to perform deterministic deconvolution on the marine seismic data, so as to eliminate the influence of the source directionality of the marine seismic acquisition airgun on the seismic data. The process of seismic imaging based on the corrected wavelet data and the process of simulating the far-field wavelet data can be implemented using methods in related technologies, which will not be elaborated here.

[0089] This application provides a seismic data correction method. The method first acquires the first amplitude characteristics of a conventional geophone (a first geophone) and the second amplitude characteristics of a near-field geophone (a second geophone). Then, based on the first and second amplitude characteristics, a correction factor is determined. Finally, the wavelet data acquired by the near-field geophone is corrected based on the correction factor to obtain the corrected wavelet data. Therefore, this method corrects the near-field wavelet data using a correction factor, thereby eliminating the differences between the near-field geophone and the conventional geophone.

[0090] Figure 8This is a schematic diagram of the structure of a seismic data correction device provided in an embodiment of this application. See also... Figure 8 The device includes:

[0091] The first acquisition module 801 is used to acquire the first amplitude characteristics of the first detector, the first detector is located below the earthquake source, and the distance between the detector and the earthquake source is greater than a preset distance;

[0092] The second acquisition module 802 is used to acquire the second amplitude characteristics of the second detector, which is located above the source of the earthquake and the distance between the detector and the source of the earthquake is less than a preset distance.

[0093] The determination module 803 is used to determine the correction factor based on the first amplitude feature and the second amplitude feature;

[0094] The third acquisition module 804 is used to acquire the first wavelet data, which is the 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 the corrected wavelet data.

[0096] In one possible implementation, a first acquisition module 801 is used to acquire the sensitivity, damping factor, and natural frequency of a first detector; substitute the sensitivity, damping factor, and natural frequency of the first detector into first relational data to obtain second relational data; wherein the first relational data is used to represent the relationship between amplitude, angular frequency, sensitivity, damping factor, and natural frequency, and the second relational data is used to represent the relationship between amplitude and angular frequency; based on the second relational data, a 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 relation data, and solve the third relation data by the least squares method to obtain the correction factor; wherein, the third relation 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 acquire the number of seismic traces and the number of sampling points; acquire 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 used to perform convolution processing on the correction factor and the first wavelet data to obtain the corrected wavelet data.

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

[0101] The processing module is used for seismic imaging based on the corrected wavelet data; or for simulating the source wavelet based on the corrected wavelet data.

[0102] This application provides a seismic data correction device. The device first acquires the first amplitude characteristics of a conventional geophone (a first geophone) and the second amplitude characteristics of a near-field geophone (a second geophone). Then, based on the first and second amplitude characteristics, a correction factor is determined. Finally, the wavelet data acquired by the near-field geophone is corrected based on the correction factor to obtain the corrected wavelet data. Therefore, this device corrects the near-field wavelet data using a correction factor, thereby eliminating the differences between the near-field geophone and the conventional geophone.

[0103] refer to Figure 9 , Figure 9 A structural block diagram of a terminal 900 provided in an exemplary embodiment of this application is shown. The terminal 900 may be a portable mobile terminal, such as a smartphone, tablet computer, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), laptop computer, or desktop computer. The terminal 900 may also be referred to as a user device, portable terminal, laptop terminal, desktop terminal, or other names.

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

[0105] Processor 901 may include one or more processing cores, such as a quad-core processor or an octa-core processor. Processor 901 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 901 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 901 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 901 may also include an AI (Artificial Intelligence) processor, which is used to handle computational 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 high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 902 are used to store at least one line of program code, which is executed by the processor 901 to implement the seismic data correction method provided in the method embodiments of this application.

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

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

[0109] The radio frequency (RF) circuit 904 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 904 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 904 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF 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, etc. The RF circuit 904 can communicate with other terminals through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 904 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0110] Display screen 905 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When display screen 905 is a touch display screen, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to processor 901 for processing. In this case, display screen 905 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 905, disposed on the front panel of terminal 900; in other embodiments, there may be at least two display screens 905, disposed on different surfaces of terminal 900 or in a folded design; in other embodiments, display screen 905 may be a flexible display screen, disposed on a curved or folded surface of terminal 900. Furthermore, display screen 905 may be configured as a non-rectangular irregular shape, i.e., a non-rectangular screen. Display screen 905 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).

[0111] The camera assembly 906 is used to acquire images or videos. Optionally, the camera assembly 906 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is located on the front panel of the terminal, and the rear-facing camera is located on the back of the terminal. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, a wide-angle camera, and a telephoto camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, panoramic shooting by fusion of the main camera and the wide-angle camera, VR (Virtual Reality) shooting, or other fusion shooting functions. In some embodiments, the camera assembly 906 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm-light flash and a cool-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, converting them into electrical signals that are input to the processor 901 for processing, or to the radio frequency circuit 904 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each positioned at a different location on the terminal 900. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert electrical signals from the processor 901 or the radio frequency circuit 904 into sound waves. The speaker may be a conventional diaphragm speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, the audio circuit 907 may also include a headphone jack.

[0113] Power supply 908 is used to power the various components in terminal 900. Power supply 908 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When 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 that is charged via a wired line, while a wireless rechargeable battery is a battery that is charged via 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 accelerometer 910, a gyroscope 911, a pressure sensor 912, an optical sensor 913, and a proximity sensor 914.

[0115] Accelerometer 910 can detect the magnitude of acceleration along the three coordinate axes of a coordinate system established by terminal 900. For example, accelerometer 910 can be used to detect the components of gravitational acceleration along the three coordinate axes. Processor 901 can control display screen 905 to display the user interface in either a landscape or portrait view based on the gravitational acceleration signal acquired by accelerometer 910. Accelerometer 910 can also be used for games or for acquiring user motion data.

[0116] The gyroscope sensor 911 can detect the orientation and rotation angle of the terminal 900. The gyroscope sensor 911, in conjunction with the accelerometer sensor 910, can collect 3D motion data from the user on the terminal 900. Based on the data collected by the gyroscope sensor 911, the processor 901 can perform the following functions: motion sensing (e.g., changing the UI based on the user's tilt), image stabilization during shooting, game control, and inertial navigation.

[0117] The pressure sensor 912 can be disposed on the side bezel of the terminal 900 and / or the lower layer of the display screen 905. When the pressure sensor 912 is disposed on the side bezel of the terminal 900, it can detect the user's grip signal on the terminal 900, and the processor 901 can perform left / right hand recognition or quick operation based on the grip signal collected by the pressure sensor 912. When the pressure sensor 912 is disposed on the lower layer of the display screen 905, the processor 901 can control the operable controls on the UI interface based on the user's pressure operation on the display screen 905. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0118] An optical sensor 913 is used to collect 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 decreased. In another embodiment, the processor 901 can also dynamically adjust the shooting parameters of the camera assembly 906 based on the ambient light intensity collected by the optical sensor 913.

[0119] The proximity sensor 914, also known as a distance sensor, is typically located on the front panel of the terminal 900. The proximity sensor 914 is used to detect 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 a screen-on state to a 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 a screen-off state to a screen-on state.

[0120] Those skilled in the art will understand that Figure 9 The structure shown does not constitute a limitation on terminal 900, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

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

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

[0123] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0124] The above description is only for the purpose of enabling those skilled in the art to understand the technical solution of this application, and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A seismic data correction method, characterized in that, The method includes: Obtain the first amplitude characteristic of the first detector, which is located below the vibration source and at a distance greater than a preset distance. Acquire the second amplitude characteristics of the second detector, which is located above the vibration source and at a distance less than the preset distance; Based on the first amplitude feature and the second amplitude feature, a correction factor is determined; Acquire the first wavelet data, which is the data collected by the second detector; The first wavelet data is corrected based on the correction factor to obtain the corrected wavelet data.

2. The method according to claim 1, characterized in that, The acquisition of the first amplitude characteristic of the first detector includes: Obtain 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 relational data, a second relational data is obtained; wherein, the first relational data is used to represent the relationship between amplitude, angular frequency, sensitivity, damping factor, and natural frequency, and the second relational 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 step of determining the correction factor based on the first amplitude feature and the second amplitude feature includes: Substitute the first amplitude feature and the second amplitude feature into the third relational data, and solve the third relational data using the least squares method to obtain the correction factor; wherein, the third relational 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 acquisition of the first wavelet data includes: Obtain the number of seismic traces and sampling points; Based on the number of seismic traces and the number of sampling points, the second wavelet data is obtained; The second wavelet data is superimposed 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 includes: Seismic imaging is performed based on the corrected wavelet data; or, source wavelets are simulated based on the corrected wavelet data.

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

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

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one piece of program code, which is loaded and executed by a processor to implement the seismic data correction method as described in any one of claims 1 to 6.

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

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