A method and apparatus for seismic data quality analysis

Abstract

This application provides a method and apparatus for seismic wave data quality analysis. The method includes: extracting seismic data from a selected seismic trace set in an interference zone according to the excitation time, forming several single-trace data; calculating the frequency amplitude spectrum of the several single-trace data; establishing a standard frequency amplitude spectrum for the interference-free zone based on the frequency amplitude spectrum of selected seismic traces in a selected interference-free zone; dividing the frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed into multiple frequency segment amplitude sub-spectrums at equal intervals according to a set frequency interval; dividing the standard frequency amplitude spectrum into corresponding standard frequency segment amplitude sub-spectrums according to the frequency interval; calculating the correlation coefficient between the frequency segment amplitude sub-spectrum of each seismic trace in the seismic trace set to be analyzed and the corresponding standard frequency segment amplitude sub-spectrum; and performing quality analysis on the seismic wave data based on the correlation coefficient values. This application achieves quality analysis of seismic wave data by analyzing the above-mentioned correlation coefficient values.

Description

Technical Field

[0001] This application relates to the fields of seismic exploration, data acquisition and analysis technology, and in particular to a seismic data quality analysis method and apparatus. Background Technology

[0002] Seismic exploration involves artificially generating seismic waves on the ground or in the shallow subsurface, and deploying thousands of seismic receivers at fixed intervals (often 40-50 meters) on the ground. After each generation, the ground receivers simultaneously receive the seismic wave information. To ensure the quality of the seismic wave data acquired in the field, it is necessary to analyze the quality of the acquired data in a timely manner, especially in areas with strong interference, such as cities and factories, which require focused monitoring.

[0003] Traditional seismic exploration often employs seismic receivers with interconnected cables for seismic wave acquisition. This allows for real-time acquisition of data from all receiver channels after each excitation, i.e., common shot point data. The quality of the common shot point data is assessed by comparing and analyzing characteristic parameters such as the recorded features, waveforms between channels, dominant frequency, bandwidth, clarity of the first arrival wave, and interference energy of the first arrival wavefront. Currently, with the upgrading of seismic receivers, wireless nodal instruments, due to their small size, flexible deployment, and rapid deployment in complex terrain areas, have demonstrated significant advantages in high-density seismic data acquisition on land. They have experienced rapid development in recent years and are widely used in exploration in major oil and gas basins in China, achieving good results and improving exploration efficiency.

[0004] Although wireless nodal instruments have achieved good exploration results in seismic exploration, there is a major bottleneck problem in using wireless nodal instruments to receive seismic waves: the seismic wave data of the receiving channel cannot be collected in real time. Thus, when it is necessary to obtain shot point data, all the wireless nodal instruments used must be retrieved from the field and the data must be synthesized to obtain the shot point data. This process often takes more than 10 days after construction, so it is impossible to monitor the quality of seismic wave data in real time. Summary of the Invention

[0005] This application discloses a method and apparatus for seismic data quality analysis.

[0006] In a first aspect, this application discloses a method for seismic wave data quality analysis, the method comprising:

[0007] Seismic data from each seismic trace in the selected interference area seismic trace set are extracted according to the excitation time to form several single-trace data.

[0008] Calculate the frequency amplitude spectrum of the aforementioned single-channel data;

[0009] Based on the frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone, a standard frequency amplitude spectrum of the interference-free zone is established.

[0010] The frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed is divided into multiple frequency segment amplitude sub-spectrums at equal intervals according to the set frequency intervals.

[0011] The standard frequency amplitude spectrum is divided into corresponding multiple standard frequency segment amplitude sub-spectrums according to the frequency interval;

[0012] Calculate the correlation coefficient between the frequency band amplitude sub-spectrum of each seismic trace in the seismic trace set to be analyzed and the corresponding standard frequency band amplitude sub-spectrum;

[0013] The seismic wave data is analyzed based on the correlation coefficient values.

[0014] Optionally, the step of extracting seismic data from the selected seismic trace set of the interference area according to the excitation time to form several single-trace data includes:

[0015] Select interference-free areas and interference areas based on the interference distribution;

[0016] Select several seismic traces from the selected interference-free zone;

[0017] Several seismic traces are selected from the interference zone at set intervals to form a set of seismic traces for the interference zone.

[0018] Based on the same excitation time as each seismic trace in the interference-free zone, seismic data for each trace are extracted from the set of seismic traces to form several single-trace data.

[0019] Optionally, the step of selecting several seismic traces from the selected interference-free zone includes:

[0020] The number of seismic traces selected from the selected undisturbed zone is 3, 4, or 5.

[0021] Optionally, the step of dividing the frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed into multiple frequency segment amplitude sub-spectrums at equal intervals according to a set frequency interval includes:

[0022] Using 5 Hz as the frequency interval, the frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed is equally divided into several different frequency band amplitude sub-spectrums.

[0023] Optionally, the step of dividing the standard frequency amplitude spectrum into corresponding multiple standard frequency amplitude sub-spectrums according to the frequency interval includes:

[0024] Using 5 Hz as the frequency interval, the standard frequency amplitude spectrum is divided into corresponding multiple standard frequency band amplitude sub-spectrums.

[0025] Optionally, the step of performing quality analysis on the seismic wave data based on the correlation coefficient value includes:

[0026] The strength of interference is determined based on the magnitude of the correlation coefficient, and the correlation coefficient is negatively correlated with the strength of interference.

[0027] Secondly, this application discloses a seismic wave data quality analysis device, the device comprising:

[0028] The single-channel data generation module is used to extract seismic data from the selected seismic trace set of the interference area according to the excitation time, and form several single-channel data.

[0029] The frequency amplitude spectrum calculation module is used to calculate the frequency amplitude spectrum of the several single-channel data.

[0030] The standard frequency amplitude spectrum establishment module is used to establish the standard frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone based on the frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone.

[0031] The seismic trace segmentation module is used to divide the frequency amplitude spectrum of each seismic trace in the set of seismic traces to be analyzed into multiple frequency segment amplitude sub-spectrums at equal intervals according to a set frequency interval; and to divide the standard frequency amplitude spectrum into corresponding multiple standard frequency segment amplitude sub-spectrums according to the frequency interval.

[0032] The correlation coefficient calculation module is used to calculate the correlation coefficient value between the frequency band amplitude sub-spectrum of each seismic trace in the seismic trace set to be analyzed and the corresponding standard frequency band amplitude sub-spectrum;

[0033] The data wave quality analysis module is used to perform quality analysis on the seismic wave data based on the correlation coefficient value.

[0034] Optionally, the single-channel data forming module is used for:

[0035] Select interference-free areas and interference areas based on the interference distribution;

[0036] Select several seismic traces from the selected interference-free zone;

[0037] Several seismic traces are selected from the interference zone at set intervals to form a set of seismic traces for the interference zone.

[0038] Based on the same excitation time as each seismic trace in the interference-free zone, seismic data for each trace are extracted from the set of seismic traces to form several single-trace data.

[0039] Optionally, the single-channel data forming module is specifically used for:

[0040] The number of seismic traces selected from the selected undisturbed zone is 3, 4, or 5.

[0041] Optionally, the seismic trace segmentation module is used for:

[0042] Using 5 Hz as the frequency interval, the frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed is equally divided into several different frequency band amplitude sub-spectrums; and,

[0043] Using 5 Hz as the frequency interval, the standard frequency amplitude spectrum is divided into corresponding multiple standard frequency band amplitude sub-spectrums.

[0044] Optionally, the data wave quality analysis module is used for:

[0045] The strength of interference is determined based on the magnitude of the correlation coefficient, and the correlation coefficient is negatively correlated with the strength of interference.

[0046] Thirdly, this application discloses an electronic device comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the above-described method.

[0047] Fourthly, this application discloses a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the above-described method.

[0048] Fifthly, this application discloses a computer program product in which the electronic device implements the above-described method when the instructions in the computer program product are executed by the processor of the electronic device.

[0049] The technical solution provided in this application may include the following beneficial effects:

[0050] In the seismic data quality analysis scheme provided in this application, single-channel data is first generated based on the excitation time to establish a standard shape of frequency amplitude spectrum within the region; then, the frequency amplitude spectrum of the seismic channel to be analyzed is divided into different frequency band amplitude spectra, and the seismic channel to be analyzed is correlated with the corresponding standard frequency band amplitude spectrum to obtain the correlation coefficient value; finally, a frequency correlation coefficient value relationship diagram is generated to determine whether there is interference in the area near the receiving channel and the strength of the interference.

[0051] Furthermore, when analyzing the quality of field seismic wave acquisition data, only a small amount of seismic trace data can be retrieved, without the need for complete common shot point data, which can effectively improve the timeliness of data quality analysis received by wireless nodal instruments. Attached Figure Description

[0052] Figure 1 A flowchart of a seismic wave data quality analysis method provided in this application.

[0053] Figure 2 A schematic diagram of a standard frequency-amplitude spectrum for seismic data provided in this application.

[0054] Figure 3 A schematic diagram of the standard frequency-amplitude spectrum of seismic data with external interference, provided for this application.

[0055] Figure 4 A schematic diagram of a correlation value provided for this application.

[0056] Figure 5 This is a schematic diagram illustrating the frequency-correlation coefficient relationship provided in this application.

[0057] Figure 6 A structural diagram of a seismic wave data quality analysis device provided in this application.

[0058] Figure 7 A block diagram of an electronic device provided in this application.

[0059] Figure 8 A block diagram of another electronic device provided in this application. Detailed Implementation

[0060] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0061] To address the aforementioned problems, this application provides a method and apparatus for seismic wave data quality analysis. Before describing this application, the principle and inventive concept of the solution will be introduced first. The frequency-amplitude spectrum of a seismic wave reflects the energy corresponding to different frequencies. During the propagation of a seismic wave, due to the diffusion of wave energy and absorption by the medium, the amplitude gradually decreases, and the higher the frequency of the seismic wave, the faster it attenuates, exhibiting a certain regular decrease in the frequency-amplitude spectrum, such as... Figure 2 As shown.

[0062] Studies have shown that, in the absence of external interference, within areas with similar surface conditions, the frequency amplitude spectra of seismic data received from different seismic traces exhibit a high degree of similarity in shape. However, under conditions of external interference, the shape of the frequency amplitude spectrum of seismic data will be distorted, generally showing an abnormal increase in energy within a certain frequency band, such as... Figure 3 The right-hand peak in the spectrum represents an abnormal increase, causing distortion of the frequency amplitude spectrum.

[0063] Therefore, the interference situation of different seismic channels can be determined by comparing and analyzing the differences between the frequency-amplitude spectrum of data received by a single-channel seismograph and the frequency-amplitude spectrum of data received by an interference-free channel.

[0064] Example One

[0065] Please refer to Figure 1 This application provides a seismic data quality analysis method, which includes the following steps:

[0066] Step S101: Extract seismic data from each seismic trace in the selected interference area seismic trace set according to the excitation time, forming several single-trace data.

[0067] In one scenario, several single-channel data sets can be generated in the following manner:

[0068] (1) Select the interference-free area and the interference area according to the interference distribution;

[0069] (2) Select several seismic traces from the selected interference-free zone;

[0070] (3) Select several seismic traces from the interference zone according to a set interval and form a set of seismic traces for the interference zone;

[0071] (4) Based on the same excitation time as each seismic trace in the interference-free zone, extract the seismic data of each trace from the set of seismic traces to form several single-trace data.

[0072] In one preferred implementation, the number of seismic traces selected from the chosen interference-free zone is 3, 4, or 5. It should be noted that the number of seismic traces mentioned here is merely a preferred embodiment of this application and does not constitute a limitation on the solution. In practical applications, the number can be reasonably set according to specific circumstances.

[0073] Step S102: Calculate the frequency amplitude spectrum of the several single-channel data.

[0074] Step S103: Based on the frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone, establish the standard frequency amplitude spectrum of the interference-free zone.

[0075] It should be noted that the calculation method for the frequency amplitude spectrum of seismic traces has been disclosed in the existing technology, and the calculation can be performed by referring to the relevant knowledge in the existing technology, which will not be repeated here.

[0076] Step S104: Divide the frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed into multiple frequency segment amplitude sub-spectrums at equal intervals according to the set frequency intervals.

[0077] Step S105: Divide the standard frequency amplitude spectrum into corresponding multiple standard frequency amplitude sub-spectrums according to the frequency interval.

[0078] A specific implementation of steps S104 and S105 is illustrated below. Specifically, using a frequency interval of 5 Hz, the frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed is equally divided into several different frequency band amplitude sub-spectrums; correspondingly, using a frequency interval of 5 Hz, the standard frequency amplitude spectrum is divided into corresponding multiple standard frequency band amplitude sub-spectrums. Of course, the 5 Hz frequency interval provided here can be considered as a preferred embodiment of this application, but should not be construed as a limitation on the frequency interval set in this application.

[0079] Step S106: Calculate the correlation coefficient between the frequency band amplitude sub-spectrum of each seismic trace in the seismic trace set to be analyzed and the corresponding standard frequency band amplitude sub-spectrum.

[0080] Step S107: Perform quality analysis on the seismic wave data based on the correlation coefficient value.

[0081] It should be noted that the strength of interference is determined based on the magnitude of the correlation coefficient, and the correlation coefficient is negatively correlated with the strength of interference. Furthermore, a frequency correlation coefficient relationship graph can be generated based on the correlation coefficient values, such as... Figures 2 to 5 As shown, the relationship between the magnitude of the correlation coefficient and the strength of the interference can be seen intuitively.

[0082] This application provides a method for seismic wave data quality analysis. In this scheme, the frequency amplitude spectrum of single-channel data is first generated by extracting single-channel data from each seismic channel. Then, a standard frequency amplitude spectrum of the interference-free zone is established. Next, the correlation coefficient value between the frequency band amplitude sub-spectrum of each seismic channel and the corresponding standard frequency band amplitude sub-spectrum is calculated. Then, the quality analysis of seismic wave data is performed based on the correlation coefficient value, thereby realizing seismic wave data quality analysis and effectively improving the timeliness of data quality analysis received by wireless node instruments.

[0083] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions involved are not necessarily required by this application.

[0084] The seismic wave data quality analysis method provided in this application is illustrated below with a specific example. Please refer to [link / reference]. Figures 2 to 5 .

[0085] S1. Single-channel data preparation.

[0086] Specifically, based on the possible distribution of interference, 3 to 5 seismic traces in interference-free areas can be selected, and seismic traces in interference areas can be selected at certain intervals. Based on the excitation time, data from each of the selected seismic traces can be extracted to form single-trace data.

[0087] S2. Calculate the frequency-amplitude spectrum of each seismic data point. It should be noted that this can be obtained using existing, well-established calculation methods; the specific calculation method will not be elaborated further.

[0088] S3. Establish the standard form of frequency-amplitude spectrum within the region.

[0089] Specifically, the frequency-amplitude spectra of the uninterrupted seismic traces are superimposed to form a standard frequency-amplitude spectrum free from interference.

[0090] S4. Divide the frequency amplitude spectrum of the seismic trace to be analyzed into different frequency band amplitude spectra at equal intervals according to the frequency, such as 1HZ~5HZ, 5HZ~10HZ, 10HZ~15HZ, 15HZ~20HZ, etc.

[0091] It should be noted that the spacing between frequency bands can be determined based on the test results. If the spacing is too small, it will not be easy to reflect the trend of spectrum changes, while if the spacing is too large, it will not be easy to reflect the degree of interference.

[0092] S5. Divide the standard frequency-amplitude spectrum into corresponding different frequency band-amplitude spectra, such as 1HZ~5HZ, 5HZ~10HZ, 10HZ~15HZ, 15HZ~20HZ, etc., multiple standard frequency band amplitude sub-spectrums.

[0093] S6. For the seismic traces to be analyzed, perform correlation calculations on the amplitude sub-spectrums of different frequency bands with the corresponding standard frequency band amplitude sub-spectrums to obtain the correlation coefficient values ​​(e.g., Figure 4 (As shown).

[0094] S7. Generate a graph showing the relationship between frequency correlation coefficient values ​​(e.g.) Figure 5 As shown in the figure, the correlation coefficients exhibit the following pattern: the stronger the correlation, the smaller the correlation coefficient, indicating less interference; conversely, the weaker the correlation, the larger the correlation coefficient, indicating greater interference. Therefore, it is possible to... Figure 5 The data clearly shows that the correlation coefficients of the first segment (0-60Hz) and the fourth segment (100Hz-120Hz) are relatively small, indicating a strong correlation and low interference; while the correlation coefficients of the second segment (60Hz-80Hz) and the third segment (80Hz-100Hz) are relatively large, indicating a weak correlation and high interference.

[0095] In the seismic data quality analysis scheme provided in this application, the frequency amplitude spectrum of single-channel data is first generated by extracting single-channel data from each seismic trace. Then, a standard frequency amplitude spectrum of the interference-free zone is established. Next, the correlation coefficient value between the frequency band amplitude sub-spectrum of each seismic trace and the corresponding standard frequency band amplitude sub-spectrum is calculated. Based on the correlation coefficient value, the quality analysis of seismic wave data is performed. When analyzing the quality of seismic wave acquisition data in the field, only a small amount of seismic trace data can be retrieved, without the need for complete common shot point data, which can effectively improve the timeliness of the quality analysis of data received by the wireless nodal instrument.

[0096] Example Two

[0097] Reference Figure 6 This is a structural diagram of a seismic wave data quality analysis device provided in this application. The device may include the following modules:

[0098] The single-channel data formation module 210 is used to extract seismic data from each seismic channel in the selected set of seismic channels in the interference area according to the excitation time, and form several single-channel data.

[0099] The frequency amplitude spectrum calculation module 220 is used to calculate the frequency amplitude spectrum of the plurality of single-channel data;

[0100] The standard frequency amplitude spectrum establishment module 230 is used to establish the standard frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone based on the frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone.

[0101] The seismic trace segmentation module 240 is used to divide the frequency amplitude spectrum of each seismic trace in the set of seismic traces to be analyzed into multiple frequency segment amplitude sub-spectrums at equal intervals according to a set frequency interval; and to divide the standard frequency amplitude spectrum into corresponding multiple standard frequency segment amplitude sub-spectrums according to the frequency interval.

[0102] The correlation coefficient calculation module 250 is used to calculate the correlation coefficient value between the frequency band amplitude sub-spectrum of each seismic trace in the seismic trace set to be analyzed and the corresponding standard frequency band amplitude sub-spectrum;

[0103] The data wave quality analysis module 260 is used to perform quality analysis on the seismic wave data based on the correlation coefficient value.

[0104] In one scenario, the single-channel data forming module 210 is used to select an interference-free zone and an interference zone based on the interference distribution; select several seismic channels from the selected interference-free zone; select several seismic channels from the interference zone at set intervals to form a seismic channel set for the interference zone; and extract each seismic data from the seismic channel set according to the same excitation time as each seismic channel in the interference-free zone to form several single-channel data sets.

[0105] In one scenario, the single-channel data forming module 210 is specifically used to select 3, 4, or 5 seismic channels from the selected interference-free zone.

[0106] In one scenario, the seismic trace segmentation module 240 is used to divide the frequency amplitude spectrum of each seismic trace in the set of seismic traces to be analyzed into several different frequency band amplitude sub-spectrums at equal intervals using 5 Hz as the frequency interval; and to divide the standard frequency amplitude spectrum into corresponding multiple standard frequency band amplitude sub-spectrums using 5 Hz as the frequency interval.

[0107] In one scenario, the data wave quality analysis module 260 is used to determine the strength of interference based on the magnitude of the correlation coefficient value, and the correlation coefficient value is negatively correlated with the strength of interference.

[0108] In the seismic data quality analysis scheme provided in this application, the frequency amplitude spectrum of single-channel data is first generated by extracting single-channel data from each seismic trace. Then, a standard frequency amplitude spectrum of the interference-free zone is established. Next, the correlation coefficient value between the frequency band amplitude sub-spectrum of each seismic trace and the corresponding standard frequency band amplitude sub-spectrum is calculated. Then, the quality analysis of seismic wave data is performed based on the correlation coefficient value, thereby realizing seismic wave data quality analysis and effectively improving the timeliness of data quality analysis received by wireless node instruments.

[0109] Example Three

[0110] Optionally, this application also provides an electronic device, including: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the various processes of the above method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0111] This application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described method embodiments and achieves the same technical effects. To avoid repetition, it will not be described again here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0112] Figure 7 This application provides a block diagram of an electronic device 800. For example, the electronic device 800 may be a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.

[0113] Reference Figure 7 The electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input / output (I / O) interface 812, a sensor component 814, and a communication component 816.

[0114] Processing component 802 typically controls the overall operation of electronic device 800, such as operations associated with display, telephone calls, data communication, camera operation, and recording operations. Processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the methods described above. Furthermore, processing component 802 may include one or more modules to facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.

[0115] Memory 804 is configured to store various types of data to support the operation of device 800. Examples of this data include instructions for any application or method operating on electronic device 800, contact data, phonebook data, messages, images, videos, etc. Memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0116] Power supply component 806 provides power to various components of electronic device 800. Power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 800.

[0117] Multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 808 includes a front-facing camera and / or a rear-facing camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0118] Audio component 810 is configured to output and / or input audio signals. For example, audio component 810 includes a microphone (MIC) configured to receive external audio signals when electronic device 800 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 804 or transmitted via communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

[0119] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0120] Sensor assembly 814 includes one or more sensors for providing state assessments of various aspects of electronic device 800. For example, sensor assembly 814 may detect the on / off state of device 800, the relative positioning of components such as the display and keypad of electronic device 800, changes in position of electronic device 800 or a component of electronic device 800, the presence or absence of user contact with electronic device 800, orientation or acceleration / deceleration of electronic device 800, and temperature changes of electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 814 may also include an accelerometer, gyroscope, magnetometer, pressure sensor, or temperature sensor.

[0121] Communication component 816 is configured to facilitate wired or wireless communication between electronic device 800 and other devices. Electronic device 800 can access wireless networks based on communication standards, such as WiFi, carrier networks (such as 2G, 3G, 4G, or 5G), or combinations thereof. In one exemplary embodiment, communication component 816 receives broadcast signals or broadcast operation information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 816 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0122] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0123] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, which can be executed by a processor 820 of an electronic device 800 to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0124] Example Four

[0125] Figure 8 A block diagram of another electronic device 1900 provided for this application. For example, electronic device 1900 may be provided as a server.

[0126] Reference Figure 8 The electronic device 1900 includes a processing component 1922, which further includes one or more processors, and memory resources represented by memory 1932 for storing instructions, such as application programs, that can be executed by the processing component 1922. The application programs stored in memory 1932 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 1922 is configured to execute instructions to perform the methods described above.

[0127] Electronic device 1900 may also include a power supply component 1926 configured to perform power management of electronic device 1900, a wired or wireless network interface 1950 configured to connect electronic device 1900 to a network, and an input / output (I / O) interface 1958. Electronic device 1900 can operate on an operating system stored in memory 1932, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or similar.

[0128] Example Five

[0129] Fifthly, this application discloses a computer program product in which, when the instructions in the computer program product are executed by a processor of an electronic device, the electronic device is enabled to perform the method described in any of the preceding aspects.

[0130] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0131] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0132] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0133] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0134] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0135] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0136] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0137] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0138] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0139] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for analyzing the quality of seismic wave data, characterized in that, The method includes: Seismic data from each seismic trace is extracted from the selected seismic trace set of the interference area according to the excitation time, forming several single-trace data. Calculate the frequency amplitude spectrum of the aforementioned single-channel data; Based on the frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone, a standard frequency amplitude spectrum of the interference-free zone is established. The frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed is divided into multiple frequency segment amplitude sub-spectrums at equal intervals according to the set frequency intervals. The standard frequency amplitude spectrum is divided into corresponding multiple standard frequency segment amplitude sub-spectrums according to the frequency interval; Calculate the correlation coefficient between the frequency band amplitude sub-spectrum of each seismic trace in the seismic trace set to be analyzed and the corresponding standard frequency band amplitude sub-spectrum; The seismic wave data is analyzed based on the correlation coefficient values.

2. The seismic wave data quality analysis method according to claim 1, characterized in that, The step of extracting seismic data from the selected seismic trace set of the interference area according to the excitation time to form several single-trace data includes: Select interference-free areas and interference areas based on the interference distribution; Select several seismic traces from the selected interference-free zone; Several seismic traces are selected from the interference zone at set intervals to form a set of seismic traces for the interference zone. Based on the same excitation time as each seismic trace in the interference-free zone, seismic data for each trace are extracted from the set of seismic traces to form several single-trace data.

3. The seismic wave data quality analysis method according to claim 2, characterized in that, The step of selecting several seismic traces from the selected interference-free zone includes: The number of seismic traces selected from the selected undisturbed zone is 3, 4, or 5.

4. The seismic wave data quality analysis method according to claim 1, characterized in that, The step of dividing the frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed into multiple frequency segment amplitude sub-spectrums at equal intervals according to a set frequency interval includes: Using 5 Hz as the frequency interval, the frequency amplitude spectrum of each seismic trace in the seismic trace set to be analyzed is equally divided into several different frequency band amplitude sub-spectrums.

5. The seismic wave data quality analysis method according to claim 4, characterized in that, The step of dividing the standard frequency amplitude spectrum into corresponding multiple standard frequency amplitude sub-spectrums according to the frequency interval includes: Using 5 Hz as the frequency interval, the standard frequency amplitude spectrum is divided into corresponding multiple standard frequency band amplitude sub-spectrums.

6. The seismic wave data quality analysis method according to claim 1, characterized in that, The step of performing quality analysis on the seismic wave data based on the correlation coefficient value includes: The strength of interference is determined based on the magnitude of the correlation coefficient, and the correlation coefficient is negatively correlated with the strength of interference.

7. A seismic wave data quality analysis device, characterized in that, The device includes: The single-channel data generation module is used to extract seismic data from the selected seismic trace set of the interference area according to the excitation time, and form several single-channel data. The frequency amplitude spectrum calculation module is used to calculate the frequency amplitude spectrum of the several single-channel data. The standard frequency amplitude spectrum establishment module is used to establish the standard frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone based on the frequency amplitude spectrum of the selected seismic trace in the selected interference-free zone. The seismic trace segmentation module is used to divide the frequency amplitude spectrum of each seismic trace in the set of seismic traces to be analyzed into multiple frequency segment amplitude sub-spectrums at equal intervals according to a set frequency interval; and to divide the standard frequency amplitude spectrum into corresponding multiple standard frequency segment amplitude sub-spectrums according to the frequency interval. The correlation coefficient calculation module is used to calculate the correlation coefficient value between the frequency band amplitude sub-spectrum of each seismic trace in the seismic trace set to be analyzed and the corresponding standard frequency band amplitude sub-spectrum; The data wave quality analysis module is used to perform quality analysis on the seismic wave data based on the correlation coefficient value.

8. An electronic device, characterized in that, include: A processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the 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 a computer program that, when executed by a processor, implements the method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, When the instructions in the computer program product are executed by the processor of the electronic device, the electronic device implements the method as described in any one of claims 1 to 6.

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