An offshore wind farm evaluation method based on seismic interferometry technology

Abstract

The present application relates to the field of geological assessment, and discloses an offshore wind farm evaluation method based on seismic interferometry technology, including the following steps: S1, collecting and preprocessing single-channel seismic data; S2, separating primary wave data; S3, using seismic interferometry technology to reduce multiple waves to quasi-primary wave data and superimpose them with primary waves to generate interference processing results; S4, comparing and evaluating the interference processing results with traditional profiles; S5, determining the optimal construction location of the wind farm based on joint interpretation. The present invention improves the resolution of seismic data by using seismic interferometry technology to supplement the effective signals in single-channel seismic data. The joint interpretation of interference processing results and traditional seismic profiles makes the analysis of underground geological structures more refined and accurate, which helps wind power project managers and decision makers to more accurately assess potential geological risks.

Description

Technical Field

[0001] The present invention relates to the technical field of geological assessment, and in particular to an offshore wind farm assessment method based on seismic interferometry technology. Background Art

[0002] In the modern energy industry, especially in the construction and development of offshore wind farms, accurate assessment of the geological stability and suitability of potential construction sites is key to ensuring project success. Traditional geological assessment methods mainly rely on physical drilling and simple traditional engineering seismic reflection methods. Although these technologies can provide information about underground structures to some extent, they have many shortcomings.

[0003] First of all, the main problem with physical drilling methods is that they are expensive and inefficient, and there are certain challenges in applying them in large construction areas. In an offshore environment, each drilling may have a long-term negative impact on the seabed ecosystem. In addition, drilling activities usually require a lot of preliminary preparation and complex logistical support, which not only increases the direct cost of the project, but may also cause project delays due to unexpected situations such as bad weather or equipment failure, further amplifying the cost.

[0004] Secondly, although the traditional engineering seismic reflection method can provide a continuous profile of the underground structure, the resolution and accuracy of its data are limited by the equipment and technology used, and the credibility of the processing results is much lower than that of the physical drilling method. This limitation is particularly obvious in the identification of complex or subtle geological structures, which may lead to misjudgment of geological risks, thus affecting the design and safety of wind farms.

[0005] In terms of business decision-making and project management, the shortcomings of these technologies may lead to inadequate assessment of risks or overly conservative investment decisions. For example, due to inaccurate data, project developers may have to choose non-optimal locations to build wind farms, or need to implement expensive risk mitigation measures during the design and construction phases. These factors will ultimately affect the project's return on investment and economic viability.

[0006] Therefore, developing a technology that is cost-effective, has low environmental impact and can provide high-resolution and accurate geological data is of great significance to the offshore wind power industry. Summary of the invention

[0007] In view of the shortcomings of the existing technology, the present invention provides an offshore wind farm evaluation method based on seismic interferometry technology to solve the technical problems of high cost, great environmental impact, and insufficient data resolution and accuracy of traditional geological assessment methods, so as to improve the scientificity and economic benefits of wind farm site selection.

[0008] To achieve the above objectives, the present invention is implemented by the following technical solutions: An offshore wind farm evaluation method based on seismic interferometry technology comprises the following steps:

[0009] Carry out single-channel seismic data acquisition, cover the target sea area, and perform preprocessing;

[0010] Identify the primary wave data in the single-channel seismic data and separate the primary wave data from the entire seismic data by using the surface-correlated multiple wave elimination technique;

[0011] Seismic interferometry is used to reduce the multiple wave data in single-channel seismic data to quasi-primary wave data, and then superimposed with the primary wave data to obtain the seismic interferometry processing result;

[0012] Compare and evaluate the interferometric processing results with conventional seismic sections to confirm stratigraphic continuity and signal enhancement;

[0013] Based on the joint interpretation of interferometric processing results and traditional seismic profiles, the optimal construction location of the wind farm is determined.

[0014] Preferably, the preprocessing step includes improving the signal-to-noise ratio of the data by background noise suppression, direct wave excision and random noise suppression techniques.

[0015] Preferably, the step of identifying the primary wave data in the single-channel seismic data and separating the primary wave data from all the seismic data by using the surface-correlated multiple wave elimination technique comprises:

[0016] Through all earthquake data Convolution and summation operations are performed to generate predicted multiple wave data , and then subtract the predicted multiple wave data from the entire seismic data to obtain the primary wave data , the primary wave data in the frequency domain is expressed as follows:

[0017]

[0018] in, is the frequency domain source wavelet, representing the formation reflection coefficient, and is defined as is the surface correlation operator;

[0019] After reorganizing the formula, its polynomial form can be expressed as:

[0020]

[0021] The above formula represents the predicted multiple wave data of different orders from the original seismic data Subtract it from the original data to obtain the first wave data for the initial estimate;

[0022] The extraction of primary wave data is optimized through an iterative process.

[0023] Preferably, the iterative process includes:

[0024] initialization:

[0025]

[0026] Using the first wave data of the initial estimate Perform multiple wave prediction again to generate new multiple wave data :

[0027]

[0028] The new multiple wave data From the original earthquake data Subtract from the original value and update the wave data once :

[0029]

[0030] Repeat the above steps until a wave of data Reach convergence and obtain the final primary wave extraction result.

[0031] Preferably, the step of using seismic interferometry technology to reduce the multiple wave data in the single-channel seismic data to quasi-primary wave data and superimposing the data with the primary wave data to obtain the seismic interferometry processing result includes:

[0032] Obtain input data for seismic interferometry technology, including primary wave data and multiple wave data;

[0033] Single-channel deconvolution seismic interferometry technology is used on input data one by one to generate new quasi-primary wave data in the frequency domain;

[0034] The generated quasi-primary wave data is superimposed with the separated primary wave data to form an enhanced seismic interferometry processing result;

[0035] The processing results in the frequency domain are converted back to the time domain through inverse Fourier transform to obtain the final seismic profile for subsequent geological analysis and interpretation.

[0036] Preferably, the single-channel deconvolution seismic interferometry technique is expressed by the following formula:

[0037]

[0038] in, and At the receiving point and Green's function at , where multiple wave data and primary wave data are used as input, is the epicenter location. Since it is a single-channel seismic data, it naturally satisfies the same epicenter location. is the angular frequency.

[0039] Preferably, the step of comparing and evaluating the seismic interferometry processing result with the conventional seismic profile to confirm the formation continuity and signal enhancement comprises:

[0040] The shallow and deep energy distribution of the seismic interferometry results and the traditional seismic profiles are compared, and the continuity of the formation is evaluated by calculating the energy ratio of the shallow layer to the deep layer. The energy ratio is calculated by the following formula:

[0041]

[0042] in, represents the shallow sampling time, represents the deep sampling time, For time The signal energy at

[0043] Compare and analyze the stratigraphic resolution of seismic interferometry results and traditional seismic profiles at different depths to identify the enhancement effect of interferometry results;

[0044] Observe the stratigraphic details of the interference processing results and the traditional seismic profile through the local zoom view, and compare the continuity and signal-to-noise ratio of the stratigraphic signals to confirm the stratigraphic enhancement effect of the interference processing results;

[0045] The high-frequency energy distribution in traditional seismic profiles and seismic interferometry processing results is compared through time-frequency analysis to confirm the improvement of stratigraphic resolution after interferometry processing.

[0046] Preferably, the step of determining the optimal construction location of the wind farm based on the joint interpretation of interferometric and traditional data comprises:

[0047] The results of seismic interferometry processing are jointly interpreted with traditional seismic profiles to determine the continuity and integrity of the strata by comparing the differences between the shallow and deep strata interfaces.

[0048] In the joint interpretation process, we first locate key stratigraphic interfaces and identify potential geological structural features based on the high signal-to-noise ratio information of traditional seismic sections;

[0049] Using the high resolution and enhanced stratigraphic signals from the seismic interferometry processing results, the initially located stratigraphic interfaces are corrected and refined;

[0050] Combining the interferometric processing results with the comprehensive information of traditional seismic profiles, potential geological risks in shallow areas are identified to assess the foundation stability of wind farm construction;

[0051] Based on the joint interpretation results, the area with the best geological conditions and minimum engineering risks is selected as the optimal construction location for the wind farm, taking into account the continuity, stability and potential risks of the strata.

[0052] The present invention also provides an offshore wind farm evaluation device based on seismic interferometry technology, comprising:

[0053] Data acquisition module, used to collect single-channel seismic data, cover the target sea area, and pre-process the collected data;

[0054] Wave data identification module, used to identify the primary wave data in the single-channel seismic data and separate the primary wave data from all seismic data through surface-correlated multiple wave elimination technology;

[0055] A seismic interferometry processing module is used to reduce the multiple wave data in the single-channel seismic data to quasi-primary wave data by using seismic interferometry technology, and to superimpose the data with the primary wave data to obtain the seismic interferometry processing result;

[0056] Comparative evaluation module, used to compare and evaluate the seismic interferometry processing results with traditional seismic sections to confirm the formation continuity and signal enhancement;

[0057] The location determination module is used to determine the optimal construction location of the wind farm based on the joint interpretation of the interferometric processing results and traditional seismic profiles.

[0058] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the above method is implemented.

[0059] The present invention also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the method described above is implemented.

[0060] The present invention provides an offshore wind farm evaluation method based on seismic interferometry technology. It has the following beneficial effects:

[0061] 1. The present invention significantly improves the resolution of seismic data by using seismic interferometry technology, making the analysis of underground geological structures more detailed and accurate. This technology can effectively reveal detailed information about complex strata, helping wind power project managers and decision makers to more accurately assess potential geological risks, thereby optimizing project planning and resource allocation.

[0062] 2. The present invention uses seismic interferometry technology to conduct in-depth geological assessments, which can accurately identify geologically unstable areas and other potential problems in the early stages of a project, thereby avoiding unexpected geological conditions during the construction of a wind farm. This early risk identification and avoidance not only helps reduce engineering risks, but also reduces maintenance costs in the future operation and maintenance phase, and improves the overall economic benefits of wind power projects.

[0063] 3. Compared with traditional geological exploration methods, the seismic interferometry technology of the present invention does not require large-scale ground physical operations, thereby significantly reducing the interference and damage to the marine and coastline environment. This non-invasive geological assessment method meets the current high standards for sustainable development and environmental protection, and helps the wind power industry achieve sustainable development without damaging the ecosystem.

[0064] 4. By improving data utilization efficiency and accuracy, the present invention reduces reliance on expensive physical drilling, which directly reduces the initial investment and long-term operation and maintenance costs of wind farm construction. In addition, accurate geological data can also help project developers allocate resources more reasonably and avoid waste of resources, thereby maximizing cost-effectiveness throughout the project cycle.

[0065] 5. The present invention uses seismic interferometry technology to supplement the effective signals in single-channel seismic data, thereby significantly improving the resolution of seismic data. The combined interpretation of interference processing results and traditional seismic profiles makes the analysis of underground geological structures more detailed and accurate, which helps wind power project managers and decision makers to more accurately assess potential geological risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0067] Figure 2 It is a schematic diagram of the structure of the device of the present invention;

[0068] Figure 3 It is a schematic diagram of the computer device structure of the present invention.

[0069] Among them, 100, data acquisition module; 200, wave data identification module; 300, seismic interference processing module; 400, comparison and evaluation module; 500, location determination module; 40, computer equipment; 41, processor; 42, memory; 43, storage medium. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] Please refer to the attached Figure 1 The embodiment of the present invention provides an offshore wind farm evaluation method based on seismic interferometry technology, comprising the following steps:

[0072] S1. Single-channel seismic data acquisition, covering the target sea area, and pre-processing

[0073] In the present invention, the site selection evaluation of offshore wind farms relies on high-quality seismic data, and the acquisition and preprocessing of single-channel seismic data is the basis of the entire evaluation process. By accurately acquiring and effectively preprocessing these data, reliable basic data can be provided for subsequent seismic interferometry processing and stratigraphic analysis. The implementation of this step is crucial to ultimately obtain a clear geological structure image and evaluate the suitability of the wind farm construction location.

[0074] In this embodiment, the specific steps of step S1 are as follows:

[0075] 1. Single-channel seismic data acquisition:

[0076] In this embodiment, single-channel seismic data is first collected in the target sea area. In order to cover the entire assessment area, the collection ship sails along a predetermined survey line with a survey line length of 7.5 kilometers, and the seismic signal is excited every 5 meters. By using high-resolution seismic exploration equipment, it is ensured that the seismic data of each point can be captured clearly. The sampling interval is set to 0.05 milliseconds, and the total sampling duration is 125 milliseconds to capture the reflection information of the seismic signal at different depths underground. During the acquisition process, the equipment will monitor the water depth changes in real time (from 0 meters to 25 meters) to adjust the acquisition parameters to ensure consistent data quality under different water depth conditions.

[0077] 2. Data preprocessing:

[0078] After collecting the raw seismic data, a series of preprocessing steps are required to improve the data quality and lay the foundation for subsequent seismic interferometry processing. The preprocessing steps include the following aspects:

[0079] Background noise suppression: In this embodiment, background noise suppression technology is applied to reduce low-frequency noise caused by the marine environment (such as swells, currents, etc.). Through frequency filters and noise models, the interference of background noise on the signal can be effectively reduced, thereby improving the clarity of the effective signal.

[0080] Direct wave removal: Since the direct wave is usually the first strong signal to arrive, it is easy to interfere with the subsequent reflected wave. In this embodiment, the direct wave removal technology is used to identify and remove these interference signals to ensure that the subsequent reflected wave data is more accurate and reliable.

[0081] Random noise suppression: In order to further improve the signal-to-noise ratio of the data, random noise suppression technology is also used in this embodiment. A variety of filtering algorithms, including mean filtering and frequency domain filtering, are used to reduce the impact of random noise, making the real seismic reflection signal more prominent. This step plays a key role in improving the interpretability of the data.

[0082] Through the above steps, the collected and preprocessed seismic data not only has a high signal-to-noise ratio, but also effectively retains the integrity and resolution of the original signal, providing a solid foundation for subsequent seismic interferometry processing and geological structure analysis.

[0083] S2. Identify the primary wave data in the single-channel seismic data and separate the primary wave data from all seismic data through surface-correlated multiple wave elimination technology

[0084] In the processing of seismic data for offshore wind farms, accurately identifying the primary wave data in single-channel seismic data and effectively eliminating the interference of multiple waves are key steps in obtaining clear seismic profiles. The primary wave data represents the initial reflection information of the seismic signal in the target stratum and is the main basis for analyzing the stratigraphic structure. However, due to the existence of multiple waves, it is easy to interfere with the clarity of the primary wave data and affect subsequent geological analysis. Therefore, using surface-correlated multiple wave elimination technology to separate the primary wave data from all seismic data is crucial to improving the resolution and accuracy of seismic data.

[0085] In this embodiment, the specific steps of step S2 are as follows:

[0086] 1. Identification of primary wave data:

[0087] For all earthquake data When conducting the analysis, the data is first analyzed in frequency and time domains using signal processing techniques to identify possible multiple and primary wave features. At this point, the phase and amplitude features of the data can be used to preliminarily identify the arrival time and relative strength of the primary wave.

[0088] 2. Application of surface-related multiple wave elimination technology:

[0089] After the primary wave data is initially identified, the surface-correlated multiple wave elimination technique is used to further accurately separate the primary wave data. Perform convolution and summation operations to generate predicted multiple wave data The predicted multiple wave data are then subtracted from the total seismic data to obtain the primary wave data. The primary wave data in the frequency domain is expressed as follows:

[0090]

[0091] in, is the frequency domain source wavelet, represents the formation reflection coefficient. The surface correlation operator is defined as for:

[0092]

[0093] 3. Polynomial expansion and optimization of formula:

[0094] By reorganizing the above formula, the representation of the primary wave data can be expanded into a polynomial form:

[0095]

[0096] The above formula represents the predicted multiple wave data of different orders from the original seismic data Subtract it from the original to obtain the first estimated wave data. Through multiple iterations, the extraction of the first wave data is continuously optimized until the data converges and the final first wave extraction result is obtained.

[0097] Through the above steps, multiple wave interference can be effectively removed, primary wave data can be accurately extracted, and pure and reliable seismic input data can be provided for subsequent seismic interferometry processing steps.

[0098] In the present invention, in order to more accurately extract the primary wave data from the single-channel seismic data, the prediction and elimination of multiple waves are continuously optimized through an iterative process. The iterative process can gradually reduce the influence of the residual multiple waves and improve the accuracy and clarity of the primary wave data. Through multiple iterations, not only the signal-to-noise ratio of the data can be improved, but also the integrity of the original geological signal can be better preserved.

[0099] In this embodiment, the specific steps of the iteration process are as follows:

[0100] 1. Initialize the wave data:

[0101] First, the original seismic data The first wave data as the initial estimate is recorded as :

[0102]

[0103] This initial estimate includes the entire seismic signal, including primaries and multiples.

[0104] 2. Prediction of multiple wave data:

[0105] Use the estimated wave data of the current iteration To predict multiple wave data The prediction uses the autocorrelation characteristics of seismic data to generate multiple wave predictions based on primary wave data:

[0106]

[0107] in, For the The multiple wave data estimated based on the current single wave in the iteration.

[0108] 3. Update of primary wave data:

[0109] The newly predicted multiple wave data From the original earthquake data Subtract from the original value and update the wave data once :

[0110]

[0111] The purpose of this step is to eliminate the error caused by multiple wave interference so that the updated Closer to pure primary wave data.

[0112] 4. Convergence judgment:

[0113] Repeat steps 2 and 3 to gradually update the primary wave data. After each iteration, the updated primary wave data With the previous Compare and judge whether the change reaches the predetermined convergence standard. If the change is less than the given threshold, it means that the primary wave data has reached the convergence state; otherwise, continue to iterate.

[0114] 5. Extraction of final results:

[0115] When a wave of data When convergence is reached, the iteration is stopped. At this time, the obtained The final extracted primary wave data has higher purity and accuracy, and can provide high-quality input data for subsequent seismic interference processing and geological analysis.

[0116] Through the above iterative process, multiple wave interference can be gradually eliminated, the extraction effect of primary wave data can be optimized, and clear and accurate seismic data can be obtained, which provides a solid technical foundation for geological assessment of wind farm site selection.

[0117] S3. Use seismic interferometry to reduce the multiple wave data in the single-channel seismic data to quasi-primary wave data, and superimpose it with the primary wave data to obtain the seismic interferometry processing result.

[0118] In the present invention, using seismic interferometry to process multiple wave data is a key step to improve the accuracy of seismic data analysis. After interference processing, multiple wave data can be converted into signals with quasi-primary wave characteristics. This order reduction process effectively enhances the resolution and signal-to-noise ratio of the original seismic data. By superimposing the processed quasi-primary wave data with the original primary wave data, a clearer and more complete seismic interferometry processing result can be obtained, providing more accurate underground structure information for subsequent geological analysis.

[0119] In this embodiment, the specific steps of step S3 are as follows:

[0120] 1. Get input data:

[0121] After the separation of the primary wave and the multiple waves is completed, the input data for seismic interferometry processing is obtained, including the primary wave data and the multiple wave data in the single-channel seismic data. These data will be used in the subsequent single-channel deconvolution seismic interferometry processing step.

[0122] 2. Application of single-channel deconvolution seismic interferometry technology:

[0123] The single-channel deconvolution seismic interferometry technique is used to process the input data and generate new quasi-primary wave data in the frequency domain. It can be expressed by the following formula:

[0124]

[0125] in, and At the receiving point and Here, and Indicates that multiple wave data and primary wave data are used as input respectively. is the source location. Since this method uses single-channel seismic data, it naturally meets the same condition of the source location. is the angular frequency.

[0126] 3. Superposition of quasi-primary wave data and primary wave data:

[0127] After obtaining the quasi-primary wave data, in this embodiment, it is superimposed with the previously extracted primary wave data. The purpose of superposition is to merge the effective signal in the quasi-primary wave data with the information in the primary wave data, and further enhance the signal-to-noise ratio and resolution of the seismic data. The specific operation is:

[0128] The quasi-primary wave data and the primary wave data are added point by point in the frequency domain to ensure that the phase and amplitude of the signal are correctly superimposed.

[0129] In order to avoid unnecessary noise introduced by superposition, a weighted superposition method is adopted in this embodiment, that is, data of different frequency bands are weighted according to the signal-to-noise ratio and amplitude of the signal to maximize the accuracy of the superposition result.

[0130] 4. Convert back to time domain:

[0131] After the stacking process is completed, the stacking results in the frequency domain are converted back to the time domain through inverse Fourier transform to generate the final seismic interferometry processing results. The results will contain clearer stratum interfaces and reflection signals, and their resolution and signal-to-noise ratio are significantly improved compared to the original seismic data. The final seismic profile will be used for subsequent geological analysis and interpretation, providing a more accurate geological basis for the construction location of the wind farm.

[0132] Through the implementation of the above steps, the seismic interferometry technology can effectively reduce the complex multiple wave data to quasi-primary wave data, and accurately superimpose it with the primary wave data to form an enhanced seismic interferometry processing result. The resulting seismic profile image has higher resolution and signal quality, providing a reliable basis for the geological structure assessment of wind farms and the optimal selection of construction locations.

[0133] S4. Compare and evaluate the seismic interferometry results with traditional seismic sections to confirm stratigraphic continuity and signal enhancement

[0134] In the process of seismic data processing, the continuity of the strata and signal enhancement are key indicators for evaluating data quality and reliability. By comparing the results of seismic interferometry processing with traditional seismic profiles, the actual effect of interferometry processing technology in stratum analysis can be effectively evaluated. The implementation of this step not only helps to confirm the contribution of interferometry processing to signal enhancement, but also verifies whether the continuity of the stratum interface is better presented, thereby providing a more accurate geological basis for the site selection and construction of wind farms.

[0135] In this embodiment, the specific steps of step S4 are as follows:

[0136] 1. Data preparation and alignment:

[0137] In this embodiment, the seismic interferometry processing results are first prepared with the traditional seismic profile data. In order to ensure the consistency of the two in time and space, the two types of data need to be aligned first. By calibrating the starting time, stratigraphic depth and lateral position of the two types of data, it is ensured that they are compared within the same time window and spatial range.

[0138] 2. Comparative assessment of formation continuity:

[0139] After the alignment process, in this embodiment, the effect of the seismic interferometry processing result is evaluated by analyzing the continuity of the stratum interface. The specific method is as follows:

[0140] Shallow and deep energy distribution analysis: Compare the energy distribution of shallow (45ms-60ms) and deep (60ms-75ms) layers in the interference processing results and traditional profiles, and calculate the energy ratio of shallow and deep layers. , the formula is as follows:

[0141]

[0142] in, represents the shallow sampling time, represents the deep sampling time, For in time By comparing the energy ratios in different areas, it is possible to determine whether the interferometric processing has enhanced the continuity of the formation.

[0143] Local zoom analysis: In this example, local zoom analysis is also performed on some key areas (such as areas with strong reflection interfaces or complex geological structures). By comparing the clarity and continuity of the stratum interfaces in these areas, the contribution of interferometric processing to stratum analysis is further evaluated.

[0144] 3. Comparative evaluation of signal enhancement:

[0145] In addition to the continuity of the formation, this embodiment also compares the interference processing results with the signal enhancement effect in the traditional seismic profile through time-frequency analysis. The specific operations are:

[0146] High-frequency energy comparison: Compare the energy distribution of the high-frequency part in the traditional profile and the interferometric processing results, especially in the shallow formations. By analyzing the increase in high-frequency energy, it is evaluated whether the interferometric processing effectively enhances the reflection signal of the target formation.

[0147] 4. Comprehensive evaluation and verification:

[0148] Finally, in this embodiment, the overall performance of the seismic interferometry processing results and the traditional seismic profiles are compared to comprehensively evaluate the advantages and disadvantages of the two under different depths and geological conditions. The effectiveness of the interferometry processing is judged by combining the comparison results of formation continuity and signal enhancement, and verified by combining the actual geological conditions.

[0149] Signal-to-noise ratio analysis: In this embodiment, the signal enhancement effect is further evaluated by calculating the signal-to-noise ratio. The calculation of the signal-to-noise ratio is based on the ratio of the signal to the background noise at different formation depths. By comparing the signal-to-noise ratio of the traditional profile and the interferometric processing results, the actual contribution of the interferometric technology in signal enhancement is confirmed.

[0150] Through these steps, this embodiment confirms the significant advantages of seismic interferometry in terms of stratum continuity and signal enhancement. This technology effectively improves the quality of seismic data and provides a more reliable basis for subsequent geological analysis and wind farm site selection.

[0151] S5. Determine the optimal location for wind farms based on joint interpretation of interferometric and traditional data

[0152] In the process of selecting the site for an offshore wind farm, it is crucial to accurately analyze the underground geological structure. By jointly interpreting the results of seismic interferometry with the data of traditional seismic profiles, we can have a more comprehensive understanding of the continuity, stability and potential geological risks of the strata. This joint interpretation method can comprehensively utilize the advantages of both types of data to ultimately determine the optimal construction location of the wind farm to ensure the safety of the structure and the feasibility of the project.

[0153] In this embodiment, the specific steps of step S5 are as follows:

[0154] 1. Data joint interpretation preparation:

[0155] Before joint interpretation, in this embodiment, the seismic interferometry processing results are first preprocessed and aligned with the traditional seismic profile. Ensure that the two data are compared at the same time scale and geological horizon to eliminate the impact that may be caused by differences in data acquisition and processing. Through standardization, data from different sources can be interpreted within the same framework.

[0156] 2. Identification of key stratigraphic interfaces:

[0157] In this embodiment, the key stratum interface is identified by jointly analyzing the interference processing results and the traditional profile. The specific steps include:

[0158] Preliminary identification: Using the high signal-to-noise ratio in traditional seismic profiles, the main interfaces and reflection features of the strata are preliminarily identified. These interfaces usually correspond to obvious changes in the strata or the boundaries of geological structures, and are the areas that need to be focused on during the wind farm site selection process.

[0159] Refinement and correction: Use the higher resolution of seismic interferometry results to refine and correct the initially identified stratigraphic interfaces, especially in areas with stratigraphic distortion or complex geological structures. Interferometry results provide more detailed stratigraphic information, help correct deviations in traditional sections, and confirm stratigraphic continuity.

[0160] 3. Geological risk assessment:

[0161] After identifying and correcting the stratum interface, the present embodiment further evaluates the potential geological risk. The evaluation is based on factors such as the continuity of the stratum, the complexity of the geological structure, and the stability of the shallow overburden, including:

[0162] Discontinuity Identification: Through joint interpretation, potential stratigraphic discontinuities such as faults, slip surfaces or drastic changes in the stratigraphic formation are identified. These discontinuities may affect the stability of the wind farm foundation and therefore require special attention.

[0163] Overburden stability analysis: Assess the stability of shallow overburden, especially the strata below the wind turbine foundation. Combining interferometric and traditional data can more accurately assess the bearing capacity and stability of the strata, thereby reducing geological risks during construction.

[0164] 4. Choice of the best construction location:

[0165] In combination with the results of stratum interface identification and geological risk assessment, the best construction location of the wind farm is selected in this embodiment. The specific steps include:

[0166] Consider multiple factors: When selecting the best location, consider the continuity of the strata, geological risks, stability of the shallow overburden, and other engineering parameters. Areas with good geological conditions and low risks are preferred as candidate locations for wind farms.

[0167] Location optimization: Based on the actual geological conditions and engineering requirements, it may be necessary to fine-tune and optimize the initially selected location to ensure that the site selection not only meets the geological requirements, but also meets the needs of engineering design and economy.

[0168] 5. Verification and decision support:

[0169] Finally, in this embodiment, the accuracy and reliability of the joint interpretation results are ensured by comparing and verifying with known geological data (such as drilling data and geological exploration reports). Based on the verification results, the final site selection recommendation is formed to provide scientific support for the decision-making of the wind farm project.

[0170] Through these steps, the present embodiment uses the combined interpretation of seismic interferometry processing results and traditional seismic profile data to accurately identify and evaluate potential geological risks, and ultimately determine the optimal construction location for the wind farm. This comprehensive approach significantly improves the scientificity and rationality of wind farm site selection, ensuring the safety and economic benefits of the project.

[0171] The present invention provides an offshore wind farm evaluation method based on seismic interferometry technology, which collects and preprocesses single-channel seismic data, identifies and separates primary wave data, converts multiple wave data into quasi-primary wave data using seismic interferometry technology, superimposes and generates high-resolution seismic profiles, and then compares and jointly interprets them with traditional seismic profiles to ultimately determine the optimal construction location of the wind farm. This method effectively improves the resolution and signal-to-noise ratio of seismic data, enhances the accuracy of stratigraphic analysis, and significantly reduces the geological risk in the process of wind farm site selection.

[0172] The offshore wind farm evaluation device based on seismic interference technology described below and the offshore wind farm evaluation method based on seismic interference technology described above can be referenced to each other.

[0173] Please refer to the attached Figure 2 The present invention also provides an offshore wind farm evaluation device based on seismic interferometry technology, comprising:

[0174] The data acquisition module 100 is used to acquire single-channel seismic data, cover the target sea area, and pre-process the acquired data;

[0175] The wave data identification module 200 is used to identify the primary wave data in the single-channel seismic data and separate the primary wave data from the entire seismic data by using the surface-correlated multiple wave elimination technique;

[0176] The seismic interferometry processing module 300 is used to reduce the multiple wave data in the single-channel seismic data to quasi-primary wave data by using the seismic interferometry technology, and superimpose it with the primary wave data to obtain the seismic interferometry processing result;

[0177] A comparison and evaluation module 400 is used to compare and evaluate the seismic interferometry processing results with the traditional seismic profile to confirm the formation continuity and signal enhancement;

[0178] The location determination module 500 is used to determine the optimal construction location of the wind farm based on the joint interpretation of the interference processing results and the traditional seismic profile.

[0179] The device of this embodiment can be used to execute the above method embodiment, and its principles and technical effects are similar, which will not be repeated here.

[0180] Please refer to the attached Figure 3The present invention further provides a computer device 40, comprising: a processor 41 and a memory 42, wherein the memory 42 stores a computer program executable by the processor, and when the computer program is executed by the processor, the above method is executed.

[0181] The present invention further provides a storage medium 43 on which a computer program is stored. When the computer program is run by the processor 41, the above method is executed.

[0182] Among them, the storage medium 43 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 red-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, disk or optical disk.

[0183] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating an offshore wind farm based on seismic interferometry technology, characterized in that: The following steps are involved: Carry out single-channel seismic data acquisition, cover the target sea area, and perform preprocessing; Identify the primary wave data in the single-channel seismic data and separate the primary wave data from the entire seismic data by using the surface-correlated multiple wave elimination technique; Seismic interferometry is used to reduce the multiple wave data in single-channel seismic data to quasi-primary wave data, and then superimposed with the primary wave data to obtain the seismic interferometry processing result; Compare and evaluate the interferometric processing results with conventional seismic sections to confirm stratigraphic continuity and signal enhancement; Determine the best location for wind farm construction based on the joint interpretation of interferometric processing results and traditional seismic profiles; The steps of identifying the primary wave data in the single-channel seismic data and separating the primary wave data from the entire seismic data by using the surface-correlated multiple wave elimination technique include: Through all earthquake data Convolution and summation operations are performed to generate predicted multiple wave data , and then subtract the predicted multiple wave data from the entire seismic data to obtain the primary wave data , the primary wave data in the frequency domain is expressed as follows: in, is the frequency domain source wavelet, representing the formation reflection coefficient, and is defined as is the surface correlation operator; The primary wave data formula in the frequency domain is sorted out and its polynomial form is expressed as follows: The above formula represents the predicted multiple wave data of different orders from the original seismic data Subtract it from the original data to obtain the first wave data for the initial estimate; Optimize the extraction of primary wave data through an iterative process; The step of using seismic interferometry to reduce the multiple wave data in the single-channel seismic data to quasi-primary wave data and superimposing it with the primary wave data to obtain the seismic interferometry processing result comprises: Obtain input data for seismic interferometry technology, including primary wave data and multiple wave data; Single-channel deconvolution seismic interferometry technology is used on input data one by one to generate new quasi-primary wave data in the frequency domain; The generated quasi-primary wave data is superimposed with the separated primary wave data to form an enhanced seismic interferometry processing result; The processing results in the frequency domain are converted back to the time domain through inverse Fourier transform to obtain the final seismic profile for subsequent geological analysis and interpretation; The single-channel deconvolution seismic interferometry technique is expressed by the following formula: in, and At the receiving point and Green's function at , where multiple wave data and primary wave data are used as input, is the epicenter location. Since it is a single-channel seismic data, it naturally satisfies the same epicenter location. is the angular frequency.

2. The offshore wind farm evaluation method based on seismic interferometry technology according to claim 1 is characterized in that: The preprocessing step includes improving the signal-to-noise ratio of the data by background noise suppression, direct wave excision and random noise suppression techniques.

3. The offshore wind farm evaluation method based on seismic interferometry technology according to claim 1 is characterized in that: The iterative process includes: initialization: Using the first wave data of the initial estimate Perform multiple wave prediction again to generate new multiple wave data : The new multiple data From the original earthquake data Subtract from the original value and update the wave data once : Repeat the above steps until a wave of data Reach convergence and obtain the final primary wave extraction result.

4. The offshore wind farm evaluation method based on seismic interferometry technology according to claim 1 is characterized in that: The steps of comparing and evaluating the seismic interferometry processing results with the conventional seismic profiles to confirm the continuity of the formation and the signal enhancement include: The shallow and deep energy distribution of the seismic interferometry results and the traditional seismic profiles are compared, and the continuity of the formation is evaluated by calculating the energy ratio of the shallow layer to the deep layer. The energy ratio is calculated by the following formula: in, represents the shallow sampling time, represents the deep sampling time, For time The signal energy at Compare and analyze the stratigraphic resolution of seismic interferometry results and traditional seismic profiles at different depths to identify the enhancement effect of interferometry results; Observe the stratigraphic details of the interference processing results and the traditional seismic profile through the local zoom view, and compare the continuity and signal-to-noise ratio of the stratigraphic signals to confirm the stratigraphic enhancement effect of the interference processing results; The high-frequency energy distribution in traditional seismic profiles and seismic interferometry processing results is compared through time-frequency analysis to confirm the improvement of stratigraphic resolution after interferometry processing.

5. The offshore wind farm evaluation method based on seismic interferometry technology according to claim 1 is characterized in that: The steps of determining the optimal construction location of a wind farm based on the joint interpretation of interferometric and traditional data include: The results of seismic interferometry processing are jointly interpreted with traditional seismic profiles to determine the continuity and integrity of the strata by comparing the differences between the shallow and deep strata interfaces. In the joint interpretation process, we first locate key stratigraphic interfaces and identify potential geological structural features based on the high signal-to-noise ratio information of traditional seismic sections; Using the high resolution and enhanced stratigraphic signals from the seismic interferometry processing results, the initially located stratigraphic interfaces are corrected and refined; Combining the interferometric processing results with the comprehensive information of traditional seismic profiles, potential geological risks in shallow areas are identified to assess the foundation stability of wind farm construction; Based on the joint interpretation results, the area with the best geological conditions and minimum engineering risks is selected as the optimal construction location for the wind farm, taking into account the continuity, stability and potential risks of the strata.

6. An offshore wind farm evaluation device based on seismic interferometry technology, used to implement the method according to any one of claims 1 to 5, characterized in that: include: Data acquisition module, used to collect single-channel seismic data, cover the target sea area, and pre-process the collected data; Wave data identification module, used to identify the primary wave data in the single-channel seismic data and separate the primary wave data from the entire seismic data by using the surface-correlated multiple wave elimination technology; A seismic interference processing module is used to reduce the multiple wave data in the single-channel seismic data to quasi-primary wave data by using seismic interference technology, and to superimpose the data with the primary wave data to obtain the seismic interference processing result; Comparative evaluation module, used to compare and evaluate the seismic interferometry processing results with traditional seismic sections to confirm the formation continuity and signal enhancement; The location determination module is used to determine the optimal construction location of the wind farm based on the joint interpretation of the interferometric processing results and traditional seismic profiles.

7. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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