A propeller noise based seismic imaging method, device, medium and equipment

Abstract

The application provides a propeller noise-based seismic imaging method, device, medium and equipment, and relates to the technical field of marine seismic exploration. The method first acquires seismic data generated by the propeller of a ship during the ship driving according to a preset route, and extracts propeller noise data from the seismic data. Then, based on the propeller noise data, the sound field generated by the propeller is calculated, and seismic imaging processing is performed based on the sound field to obtain a seismic stack profile. Thus, by taking the propeller of a single ship as a seismic source for marine seismic exploration, the noise data generated by the propeller is effectively utilized for seismic imaging processing, so as to reduce the cost of marine seismic exploration and improve the resolution of seismic imaging.

Description

Technical Field

[0001] This application relates to the field of marine seismic exploration technology, and in particular to a seismic imaging method, apparatus, medium and equipment based on propeller noise. Background Technology

[0002] The principle of marine seismic exploration is based on the fact that when artificially generated seismic waves propagate downwards in seawater, they encounter interfaces between strata of different velocities and densities, generating reflected or refracted waves that return to the seawater. Specialized instruments (geophones) record these seismic waves, and by analyzing their propagation time, vibration amplitude, and shape, seismic data can be obtained. Subsequent imaging processing using specialized computational programs can accurately determine the depth and morphology of strata interfaces within the Earth's crust, and identify the lithology and structure of the strata.

[0003] However, due to the complex marine exploration environment, the signals collected by geophones often include not only seismic signals but also various types of noise generated by factors such as the construction environment, climate conditions, equipment status, and ocean currents. Noise interference can lead to distortion of seismic signals and a reduction in the signal-to-noise ratio, affecting the interpretation and processing of seismic data, and consequently impacting the imaging quality of seismic profiles. Summary of the Invention

[0004] This application provides a method, apparatus, medium, and equipment for seismic imaging based on propeller noise, which can effectively utilize propeller noise components, reduce marine seismic exploration costs, and improve the resolution of seismic imaging.

[0005] The first aspect of this application provides a seismic imaging method based on propeller noise, the method comprising:

[0006] The seismic data generated by the ship's propeller during the ship's journey along a preset route is acquired, and propeller noise data is extracted from the seismic data.

[0007] Based on the propeller noise data, the sound wave field generated by the propeller is calculated;

[0008] Seismic imaging processing is performed based on the acoustic field to obtain a superimposed seismic profile.

[0009] Optionally, the seismic data generated by the ship's propeller during the ship's journey along a preset route is acquired, including:

[0010] Based on the position information of the propeller and the position information of multiple detectors during the ship's journey along the preset route, the target detectors for detecting the seismic wave data generated by the propeller at each moment are determined.

[0011] The seismic wave data collected by multiple target detectors are stitched together to obtain the seismic data generated by the ship's propeller during the ship's journey along a preset route.

[0012] Optionally, based on the position information of the propeller and the position information of multiple geophones during the ship's journey along a preset route, target geophones for detecting seismic wave data generated by the propeller at each moment are determined, including:

[0013] Based on the position information of the propeller and the position information of the multiple detectors, the distance information between the propeller and each detector at each time is determined;

[0014] Based on the distance information, the detector closest to the propeller at each time point is determined as the target detector.

[0015] Optionally, propeller noise data is extracted from the seismic data, including:

[0016] The earthquake data is filtered according to a preset frequency range to obtain the propeller noise data.

[0017] Optionally, the preset frequency range is determined as follows:

[0018] The seismic data generated by the ship's propeller is converted into frequency domain data to obtain the test spectrum;

[0019] Based on the test spectrum, and according to the vibration characteristics of the propeller, the preset frequency range is determined.

[0020] Optionally, after filtering the seismic data according to a preset frequency range to obtain the propeller noise data, the method further includes:

[0021] Determine the initial arrival time of the seismic data received by the detector;

[0022] The accuracy of the preset frequency range is evaluated by comparing the first amplitude information of the propeller noise data at the first arrival time with the second amplitude information of the earthquake data at the first arrival time.

[0023] Optionally, the accuracy of the preset frequency range is evaluated by comparing the first amplitude information of the propeller noise data at the first arrival time with the second amplitude information of the seismic data at the first arrival time, including:

[0024] If the similarity between the first amplitude information and the second amplitude information reaches a preset threshold, the preset frequency range is determined to be compliant.

[0025] If the similarity between the first amplitude information and the second amplitude information does not reach a preset threshold, the preset frequency range is determined to be non-compliant.

[0026] Based on the same inventive concept, a second aspect of this application provides a seismic imaging device based on propeller noise, the device comprising:

[0027] The data extraction module is used to acquire seismic data generated by the ship's propeller during the ship's journey along a preset route, and to extract propeller noise data from the seismic data.

[0028] The data analysis module is used to calculate the sound wave field generated by the propeller based on the propeller noise data;

[0029] An imaging processing module is used to perform seismic imaging processing based on the acoustic field to obtain a seismic overlay profile.

[0030] Based on the same inventive concept, a third aspect of the present application provides a storage medium storing machine-executable instructions, which, when executed by a processor, implement the propeller noise-based seismic imaging method proposed in the first aspect of the present application.

[0031] A fourth aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executed, implements the propeller noise-based seismic imaging method as proposed in the first aspect of this application.

[0032] Compared with the prior art, this application has the following advantages:

[0033] This application provides a seismic imaging method based on propeller noise. First, it acquires seismic data generated by a ship's propeller while the ship is traveling along a preset route, and then extracts propeller noise data from the seismic data. Next, based on the propeller noise data, it calculates the acoustic wave field generated by the propeller, and performs seismic imaging processing based on the acoustic wave field to obtain a seismic overlay profile. Thus, by using a single ship propeller as a seismic source for marine seismic exploration, it effectively utilizes the noise data generated by the propeller for seismic imaging processing, thereby reducing the cost of marine seismic exploration and improving the resolution of seismic imaging. Attached Figure Description

[0034] Figure 1 This is a flowchart of a seismic imaging method based on propeller noise in one embodiment of this application;

[0035] Figure 2 This is a schematic diagram of the detector layout in one embodiment of this application;

[0036] Figure 3 This is a schematic diagram of the reflection point generated by the propeller noise source and the detector point in one embodiment of this application;

[0037] Figure 4 This is a schematic diagram of the amplitude signal of the propeller noise data extracted in one embodiment of this application;

[0038] Figure 5 This is a schematic diagram of the functional modules of a seismic imaging device based on propeller noise in one embodiment of this application;

[0039] Figure 6 This is a schematic diagram of the structure of an electronic device according to one embodiment of this application. Detailed Implementation

[0040] 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.

[0041] Marine seismic exploration is a method of marine seismic measurement that utilizes the differences in velocity and density of seismic waves between the ocean and the Earth's crustal strata. By observing, processing, and analyzing the reflection responses of artificially induced seismic waves to different strata structures in the Earth's crust, it studies the propagation laws of seismic waves and infers the properties of underground rocks and strata structures.

[0042] The principle of marine seismic exploration is based on the fact that when artificially generated seismic waves propagate downwards in seawater, they encounter interfaces between strata with different velocities and densities, generating reflected or refracted waves that return to the seawater. Specialized instruments (detectors) record these seismic waves, and by analyzing their propagation time, vibration amplitude, and shape, seismic data can be obtained. Subsequent imaging processing using specialized computational programs can accurately determine the depth and morphology of strata interfaces within the Earth's crust, and identify the lithology and structure of the strata.

[0043] In existing technologies, artificial seismic waves are typically generated at a certain depth below the sea surface by a ship towing an air gun. Seismic data is then collected using detectors in the seawater. However, this method often results in seismic data containing various types of noise, such as ship propeller noise. For conventional marine seismic exploration, noise has always been considered useless information because it affects the quality of the seismic data. This is generally addressed in two ways: first, by optimizing the ship's design to minimize noise and vibration during the survey process; and second, by removing noise from the collected seismic data before use for seismic analysis. However, optimizing the ship's design is time-consuming and labor-intensive, and the noise removal process may also damage the seismic data, compromising its quality.

[0044] Therefore, this application directly uses a single ship propeller as a seismic source for marine seismic exploration. Based on the acoustic characteristics of propeller noise, seismic data generated by the ship propeller is collected and processed for seismic imaging, thereby achieving effective utilization of ship propeller noise and reducing the cost of marine seismic exploration. Furthermore, the ship propeller is a passive excitation source, and its vibrations are not affected by external factors. Compared to air gun seismic source exploration, the seismic data generated by the propeller is of better quality, which is beneficial for improving the resolution of seismic imaging.

[0045] Please refer to Figure 1 , Figure 1 This is a flowchart of a seismic imaging method based on propeller noise, proposed in one embodiment of this application. Figure 1 As shown, the method includes the following steps:

[0046] S101: Acquire seismic data generated by the ship's propeller during the ship's journey along a preset route, and extract propeller noise data from the seismic data.

[0047] In this embodiment, for areas where marine geological exploration is required, multiple geophones are pre-deployed at a certain depth in the marine area.

[0048] The ship is guided to travel along a specific route in the ocean area, and its trajectory, speed, travel time, and the position of its propeller during the journey are recorded. At the same time, the sound waves generated by the propeller rotation are received by underwater detectors, thereby collecting seismic data generated by the ship's propeller. In other words, the ship's propeller is used as an energy source to collect seismic data.

[0049] It's easy to understand that the effective data in seismic data generated by a ship's propeller is the propeller noise. Therefore, by analyzing the seismic data acquired by the detector, useless data (such as environmental noise) other than propeller noise can be removed to obtain relatively clean propeller noise data for use in seismic imaging.

[0050] Specifically, since propeller noise is mainly concentrated in the low-frequency band and has periodic peaks in the spectrum, based on this characteristic of propeller noise, the effective frequency range can be determined by using filtering software to design the frequency band range and perform spectrum scanning. Then, the seismic data can be filtered based on this frequency range to extract relatively pure propeller noise data from the seismic data.

[0051] S102: Calculate the acoustic field generated by the propeller based on propeller noise data.

[0052] In this embodiment, the aforementioned detector is a three-component detector, which contains three mutually perpendicular sensors to record the three components of the particle (propeller) vibration velocity vector, used to simultaneously record P-waves, S-waves, and converted waves. When the vibration signal generated by the propeller reaches the measuring point where the detector is located, the three-component detector can acquire and record the three-component data to obtain seismic data.

[0053] After obtaining the propeller noise data, the three component measurements can be time-varyingly rotated (the rotation is to compensate for the detector's sensitivity and acoustic impedance) so that one component always points directly in the direction of the detector throughout the entire data recording time. The component pointing towards the source is then added to the pressure measurement, thereby deriving the downward pressure field from the ship's direction. Based on this downward pressure field, the acoustic wave field generated by the ship's propeller can be estimated.

[0054] S103: Seismic imaging processing based on acoustic field to obtain a superimposed seismic profile.

[0055] In this embodiment, based on the acoustic wave field generated by the propeller, a seismic overlay profile can be obtained through data static correction, velocity analysis, dynamic correction, and overlay processing. The static and dynamic correction methods are existing technologies and will not be described in detail here.

[0056] Conventional marine seismic exploration requires artificially generating seismic waves to acquire seismic data. Propeller noise and other such data are generally considered useless and need to be filtered out before being used for seismic imaging. This application, however, takes the opposite approach, directly utilizing the acoustic characteristics of propeller noise itself for noise acoustic imaging. Specifically, it uses the ship's propeller as an energy source, employing propeller noise for target exploration and marine geological analysis. Therefore, marine seismic exploration eliminates the need for actively generating seismic signals, saving on high-power transmitters and reducing costs. Furthermore, the ship's propeller is a passive excitation source, its vibrations unaffected by external factors. Compared to air gun source exploration, the seismic data generated by the propeller is of higher quality, improving seismic imaging resolution. Additionally, utilizing the scattering, reflection, and multipath effects of the target on the propeller noise source further enhances imaging performance and improves seismic imaging resolution.

[0057] In another embodiment of this application, a seismic imaging method based on propeller noise specifically includes the following steps:

[0058] S201: Based on the position information of the propeller and the position information of multiple detectors during the ship's journey along a preset route, determine the target detectors for detecting seismic wave data generated by the propeller at each moment.

[0059] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the detector layout in one embodiment of this application. For example... Figure 2 As shown, multiple geophones are evenly distributed across five receiving lines at a predetermined depth below the sea surface, with equal spacing between adjacent receiving lines. For example, the water depth is 400 meters, each receiving line is 1.2 kilometers long, and the spacing between lines is 50 meters. As the ship travels along a predetermined route on the sea surface, the geophones on the receiving lines continuously collect seismic wave data generated by the propeller.

[0060] In this embodiment, to obtain more accurate seismic data, it is necessary to screen the geophones. For example, the target geophone for detecting seismic wave data generated by the propeller at each time point can be determined based on the propeller's position information and the position information of multiple geophones. Specifically, this process mainly includes:

[0061] S201-1: Based on the position information of the propeller and the position information of multiple detectors, determine the distance information between the propeller and each detector at each moment.

[0062] In this embodiment, the propeller's position information can be obtained from the ship's department and denoted as R0(X0, Y0, Z0), with the depth as D0. The detector's position information can be obtained from the navigation equipment and denoted as R... i (X i Y i Z i ), with a depth of D i , where i≥1, and X, Y, Z represent the three-dimensional coordinates of the propeller or detector in the geocentric coordinate system.

[0063] As a ship sails, its position constantly changes. Since the position of the geophone is fixed, the relative distance between the ship's propeller and the geophone also changes continuously. Calculating the distance between the propeller and each geophone at different times helps to determine the target geophone used to detect the seismic wave data generated by the propeller at each moment.

[0064] S201-2: Based on the distance information, the detector closest to the propeller at each time point is determined as the target detector.

[0065] In this embodiment, based on the distance information between the propeller and each detector at each time point, the detector closest to the propeller at each time point can be determined and designated as the target detector at that time point. Then, by processing the data collected by the target detector at each time point, seismic data can be obtained for seismic imaging.

[0066] Specifically, the reasons for selecting the geophone closest to the propeller at each moment as the target geophone include: First, the closer the propeller source is to the geophone, the higher the superposition number of shallow reflected waves. This helps to enhance the seismic signal in shallow strata, making it easier to detect and interpret. Second, for velocity and timing control, the proximity of the propeller source to the geophone ensures more accurate measurement of the propeller-driven seismic wave propagation velocity, which is crucial for subsequent seismic data processing and interpretation. Third, it facilitates static and benchmark corrections, which are necessary steps in seismic data acquisition to eliminate data errors caused by instrumentation. The proximity of the propeller source to the geophone facilitates these correction processes, improving the accuracy and reliability of the data.

[0067] S202: The seismic wave data collected by multiple target detectors are stitched together to obtain the seismic data generated by the ship's propeller during the ship's journey along a preset route.

[0068] Please refer to Figure 3 , Figure 3 This is a schematic diagram of the reflection point generated by the propeller noise source and the detector point in one embodiment of this application. For example... Figure 3 As shown, when the underwater geophone node receives seismic information with propeller noise as the source, reflection points P0, P1, P2...P are formed on the underground reflection interface. i These reflection points together form a reflective interface, allowing imaging to be performed using the noise of the ship's propeller.

[0069] In this embodiment, by selecting the geophone closest to the propeller at each time point as the target geophone and stitching together the data collected by the target geophone at each time point, the seismic data generated by the ship's propeller during the ship's journey along a preset route can be obtained. For example, when the ship's propeller is at position 1, the nearest geophone is geophone 1; when the ship's propeller is at position 2, the nearest geophone is geophone 2. The data received by the geophones can be extracted using seismic processing software. Therefore, by stitching together the seismic wave data collected by geophone 1 and geophone 2 according to the timeline, the complete seismic data of the propeller during a single route can be obtained.

[0070] S203: Filter the seismic data according to the preset frequency range to obtain propeller noise data.

[0071] In this embodiment, the preset frequency range is the frequency range of the sound waves generated by the ship's propeller, obtained through spectrum analysis. After obtaining seismic data, the data is filtered according to this preset frequency range to remove useless data (such as environmental noise) other than propeller noise, thereby obtaining relatively pure propeller noise data for seismic imaging. Specifically, the preset frequency range is determined as follows:

[0072] S203-1: Convert the seismic data generated by the ship's propeller into frequency domain data to obtain the test spectrum.

[0073] In this embodiment, the seismic data acquired by the detector is a time-domain signal. The seismic data can be converted from the time domain to the frequency domain through Fourier transform or Laplace transform to obtain the test spectrum, which helps to analyze the periodic vibration or fluctuation phenomenon of the data, thereby gaining a deeper understanding of the intrinsic structure and characteristics of propeller seismic signals and improving the accuracy of seismic analysis.

[0074] S203-2: Based on the test spectrum, determine the preset frequency range according to the vibration characteristics of the propeller.

[0075] In this embodiment, the vibration characteristics of the propeller are mainly concentrated in the low frequency band and have periodic peaks in the spectrum. Therefore, by detecting the amplitude and periodicity of the test spectrum, the frequency range of the sound waves generated by the ship propeller, i.e. the preset frequency range, can be determined, and filtering can be performed based on the preset frequency range.

[0076] For example, the preset frequency range can be 30-125Hz, and the amplitude signal of the propeller noise data obtained after filtering is as follows: Figure 4 As shown.

[0077] S204: Determine the first arrival time of the seismic data received by the detector.

[0078] In this embodiment, the first arrival time refers to the moment when, during seismic exploration, the seismic wave front arrives at a certain observation point, and the geophone detects particle vibration at that point. Specifically, it can be based on the propeller position R0 (X0, Y0, Z0) and depth D0, as well as the geophone position R... i (X i Y i Z i ) and depth D i Then, based on the water velocity, the initial arrival time of the sound wave to the detector is calculated using the formula for the propagation of sound waves underwater.

[0079] S205: Compare the first amplitude information of the propeller noise data at the first arrival time with the second amplitude information of the seismic data at the first arrival time to evaluate the accuracy of the preset frequency range.

[0080] In this embodiment, after determining the first arrival time, the first amplitude information corresponding to the first arrival time is determined from the seismic data before filtering, and the second amplitude information corresponding to the first arrival time is determined from the propeller noise data after filtering. Then, the first and second amplitude information are compared to evaluate the accuracy of the preset frequency range. If the first and second amplitude information are very close, it indicates that the preset frequency range is accurate, and the propeller noise data obtained after filtering based on this preset frequency range is clean and effective. Therefore, performing seismic imaging processing based on this propeller noise data can ensure the effectiveness of seismic imaging. Conversely, if the first and second amplitude information differ significantly, it indicates that the preset frequency range is not very accurate, and the propeller noise data obtained after filtering based on this preset frequency range may still contain impurities. Performing seismic imaging processing based on this propeller noise data may affect the effectiveness of seismic imaging. In this case, seismic data can be reacquired and spectral analysis performed to determine the accurate preset frequency range and ensure the filtering effect.

[0081] Specifically, step S205 mainly includes: if the similarity between the first amplitude information and the second amplitude information reaches a preset threshold, determining that the preset frequency range is compliant; if the similarity between the first amplitude information and the second amplitude information does not reach the preset threshold, determining that the preset frequency range is non-compliant.

[0082] In this embodiment, the similarity between the first amplitude information and the second amplitude information is mainly determined by the difference in magnitude between the first amplitude and the second amplitude. The magnitude of the amplitude reflects the strength of the vibration of the seismic source.

[0083] For example, if the difference between the first amplitude and the second amplitude is within a preset amplitude difference range, the first amplitude information is considered similar to the second amplitude information, and the preset frequency range is determined to be compliant. Conversely, if the difference between the first amplitude and the second amplitude is within a preset amplitude difference range, the first amplitude information is considered dissimilar to the second amplitude information, and the preset frequency range is determined to be non-compliant.

[0084] Furthermore, the amplitude difference range can be further categorized to better determine the similarity between the first and second amplitude information. For example, when the amplitude difference is within the range of [0dB, 5dB), the similarity between the first and second amplitude information is 95%; when the amplitude difference is within the range of [5dB, 10dB), the similarity is 85%; and when the amplitude difference is within the range of [10dB, 15dB), the similarity is 75%. In this case, by setting a preset threshold, if the similarity between the first and second amplitude information reaches this threshold, the preset frequency range is considered compliant; otherwise, it is considered non-compliant. For example, the preset threshold can be set to 80%.

[0085] S206: Calculate the acoustic field generated by the propeller based on propeller noise data.

[0086] S207: Seismic imaging processing based on acoustic field yields a superimposed seismic profile.

[0087] In this embodiment, after filtering based on a compliant preset frequency range to obtain effective propeller noise data, imaging processing can be performed to obtain a seismic overlay profile. This process is the same as steps S102-S103 described above, and will not be repeated here.

[0088] This application directly uses a single ship propeller as the seismic source. By collecting seismic data and filtering it according to a preset frequency range, pure propeller noise data is obtained. At the same time, by comparing the data before and after filtering, the accuracy of the preset frequency range is verified to ensure that clean and effective propeller noise data is obtained, thereby improving the seismic imaging effect.

[0089] Please refer to Figure 5 Based on the same inventive concept, a second aspect of this application provides a propeller noise-based seismic imaging device 500, comprising:

[0090] The data acquisition module 501 is used to acquire seismic data generated by the ship's propeller during the ship's journey along a preset route, and to extract propeller noise data from the seismic data.

[0091] Data analysis module 502 is used to calculate the sound wave field generated by the propeller based on propeller noise data;

[0092] The imaging processing module 503 is used for seismic imaging processing based on the acoustic field to obtain a seismic overlay profile.

[0093] Optionally, the data acquisition module 501 includes:

[0094] The target detector determination submodule is used to determine the target detectors for detecting seismic wave data generated by the propeller at each moment, based on the position information of the propeller and the position information of multiple detectors during the ship's journey along a preset route.

[0095] The seismic data formation submodule is used to stitch together seismic wave data collected by multiple target detectors to obtain seismic data generated by the ship's propeller during the ship's journey along a preset route.

[0096] Optionally, the target detector determination submodule includes:

[0097] The distance calculation unit is used to determine the distance information between the propeller and each detector at each moment based on the position information of the propeller and the position information of multiple detectors.

[0098] The target determination unit is used to determine the detector closest to the propeller at each time point as the target detector based on the distance information.

[0099] Optionally, the data acquisition module 501 includes:

[0100] The data extraction submodule is used to filter earthquake data according to a preset frequency range to obtain propeller noise data.

[0101] Optionally, the data extraction submodule includes:

[0102] The spectrum conversion unit is used to convert the seismic data generated by the ship's propeller into frequency domain data to obtain the test spectrum;

[0103] The spectrum analysis unit is used to determine a preset frequency range based on the test spectrum and the vibration characteristics of the propeller.

[0104] Optionally, the data acquisition module 501 further includes:

[0105] The first arrival calculation submodule is used to determine the first arrival time of the seismic data received by the detector;

[0106] The filtering evaluation submodule is used to compare the first amplitude information of propeller noise data at the first arrival time with the second amplitude information of seismic data at the first arrival time to evaluate the accuracy of the preset frequency range.

[0107] Optionally, the filter evaluation submodule is specifically used for:

[0108] If the similarity between the first amplitude information and the second amplitude information reaches a preset threshold, the preset frequency range is determined to be compliant.

[0109] If the similarity between the first amplitude information and the second amplitude information does not reach a preset threshold, the preset frequency range is determined to be non-compliant.

[0110] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0111] Thirdly, based on the same inventive concept, embodiments of this application provide a storage medium storing machine-executable instructions, which, when executed by a processor, implement the propeller noise-based seismic imaging method proposed in the first aspect of this application.

[0112] It should be noted that the specific implementation of the storage medium in this application embodiment refers to the specific implementation of the propeller noise-based seismic imaging method proposed in the first aspect of the above-mentioned application embodiment, and will not be repeated here.

[0113] Fourthly, based on the same inventive concept, referring to Figure 6 This application provides an electronic device 600, including a processor 601 and a memory 602; the memory 602 stores machine-executable instructions that can be executed by the processor 601, and the processor 601 is used to execute the machine-executable instructions to implement the propeller noise-based seismic imaging method as proposed in the first aspect of this application.

[0114] It should be noted that the specific implementation of the electronic device 600 in this application embodiment refers to the specific implementation of the propeller noise-based seismic imaging method proposed in the first aspect of the above-mentioned application embodiment, and will not be repeated here.

[0115] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0116] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, or computer program products. Therefore, embodiments of this application can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of this application can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0117] This application describes embodiments with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0118] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0119] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0120] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.

[0121] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device 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 terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0122] The above provides a detailed description of the seismic imaging method, apparatus, medium, and device based on propeller noise provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and its core ideas. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A seismic imaging method based on propeller noise, characterized in that, The method includes: The seismic data generated by the ship's propeller during its journey along a preset route is acquired, and propeller noise data is extracted from the seismic data; wherein: Acquiring the earthquake data includes: Based on the position information of the propeller and the position information of multiple detectors during the ship's journey along a preset route, the target detectors for detecting seismic wave data generated by the propeller at each moment are determined. Specifically, based on the position information of the propeller and the position information of the multiple detectors, the distance information between the propeller and each detector at each moment is determined; according to the distance information, the detector closest to the propeller at each moment is determined as the target detector. The seismic wave data collected by multiple target detectors are stitched together to obtain the seismic data generated by the ship's propeller during the ship's journey along a preset route. The propeller noise data extracted from the earthquake data includes: The seismic data is filtered according to a preset frequency range to obtain the propeller noise data; the initial arrival time of the seismic data received by the detector is determined; the first amplitude information of the propeller noise data at the initial arrival time is compared with the second amplitude information of the seismic data at the initial arrival time to evaluate the accuracy of the preset frequency range; Based on the propeller noise data, the sound wave field generated by the propeller is calculated; Seismic imaging processing is performed based on the acoustic field to obtain a superimposed seismic profile.

2. The method according to claim 1, characterized in that, The preset frequency range is determined as follows: The seismic data generated by the ship's propeller is converted into frequency domain data to obtain the test spectrum; Based on the test spectrum, and according to the vibration characteristics of the propeller, the preset frequency range is determined.

3. The method according to claim 1, characterized in that, The accuracy of the preset frequency range is evaluated by comparing the first amplitude information of the propeller noise data at the first arrival time with the second amplitude information of the seismic data at the first arrival time, including: If the similarity between the first amplitude information and the second amplitude information reaches a preset threshold, the preset frequency range is determined to be compliant. If the similarity between the first amplitude information and the second amplitude information does not reach a preset threshold, the preset frequency range is determined to be non-compliant.

4. A seismic imaging device based on propeller noise, characterized in that, The device includes: The data extraction module is used to acquire seismic data generated by the ship's propeller during the ship's journey along a preset route, and to extract propeller noise data from the seismic data; wherein: Acquiring the earthquake data includes: Based on the position information of the propeller and the position information of multiple detectors during the ship's journey along a preset route, the target detectors for detecting seismic wave data generated by the propeller at each moment are determined. Specifically, based on the position information of the propeller and the position information of the multiple detectors, the distance information between the propeller and each detector at each moment is determined; according to the distance information, the detector closest to the propeller at each moment is determined as the target detector. The seismic wave data collected by multiple target detectors are stitched together to obtain the seismic data generated by the ship's propeller during the ship's journey along a preset route. The propeller noise data extracted from the earthquake data includes: The seismic data is filtered according to a preset frequency range to obtain the propeller noise data; the initial arrival time of the seismic data received by the detector is determined; the first amplitude information of the propeller noise data at the initial arrival time is compared with the second amplitude information of the seismic data at the initial arrival time to evaluate the accuracy of the preset frequency range; The data analysis module is used to calculate the sound wave field generated by the propeller based on the propeller noise data; An imaging processing module is used to perform seismic imaging processing based on the acoustic field to obtain a seismic overlay profile.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the propeller noise-based seismic imaging method as described in any one of claims 1 to 3.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the propeller noise-based seismic imaging method as described in any one of claims 1 to 3.

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