Sediment source tracking method for numerical simulation of clastic sedimentary rock deposition

Abstract

The invention discloses a sediment source tracking method for numerical simulation of clastic sedimentary rock deposition, and the method comprises the following steps: S1, data collection: the geological data of a research area are widely collected, the topographic data cover a high-precision digital topographic measurement result, and the accurate mastering of topographic relief is ensured; geochemical data of the rock sample are obtained through an advanced analysis instrument in a professional laboratory, and the accuracy of element analysis is guaranteed; deposited layer thickness data are explored by means of various exploration means. According to the established numerical model, various factors in the sediment carrying and depositing process are comprehensively considered, the movement track of the sediment can be simulated more truly, the tracking precision is improved, refined tracking of the sediment source is achieved through multi-level tracer system construction and tracer dynamic updating management, and the tracking precision is improved. The source and movement history of the sediment can be better reflected, and the advantages of the method in the aspects of accuracy, efficiency and reliability are ensured through strict effect evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of sedimentation rate prediction, and in particular to a sediment source tracing method for numerical simulation of clastic sedimentary rock deposition. Background Art

[0002] Tracing the provenance of clastic sedimentary rocks plays a crucial role in geological research. As faithful recorders of billions of years of Earth's geological evolution, clastic sedimentary rocks hold a wealth of crucial information about paleoenvironments, paleoclimates, and tectonic movements. This information is crucial for constructing a complete picture of Earth's history and understanding the evolution of the Earth system.

[0003] In the study of paleoenvironmental change, sediment provenance tracing helps us reconstruct past ecosystems. For example, by analyzing the sources of debris in marine sediments from specific geological periods, scientists can infer the positions of continents, changes in coastlines, and the direction of rivers. This is crucial for studying global climate change, particularly the environmental transitions between glacial and interglacial periods. In mineral resource exploration, accurate sediment provenance tracing is a crucial tool for discovering new deposits. For example, in oil exploration, understanding the provenance of source rocks can help geologists determine the migration pathways and accumulation areas of oil and gas, thereby improving exploration efficiency and reducing exploration costs.

[0004] However, traditional sediment source tracing methods have many flaws. In terms of data acquisition, traditional methods rely on limited technical means. For example, early geological surveys mainly relied on field geological mapping, which is not only time-consuming and labor-intensive, but also difficult to implement in areas with complex terrain or inconvenient transportation. With the development of satellite remote sensing technology, although more macroscopic geological information has been obtained, there are still deficiencies in data accuracy and details. In terms of data processing, traditional methods lack effective data fusion and quality control mechanisms. Data from different sources, such as geochemical data, geological age data, and topographic data, are often difficult to effectively integrate due to differences in accuracy and scale. This leads to the loss or contradiction of information during the analysis process, affecting the final research results.

[0005] Traditional simulation methods also have serious limitations. When simulating the transport and deposition of sediments, traditional models often simplify complex physical processes. For example, in river sediment simulation, traditional models usually only consider the average flow velocity and flow rate of the water flow, while ignoring the turbulent characteristics of the water flow, the roughness of the riverbed, and the interaction between the sediment and the riverbed. These simplifications lead to large deviations between the simulation results and the actual situation, especially in predicting the deposition location and deposition rate of sediments. In terms of model establishment, traditional methods lack the ability to dynamically simulate geological processes. The geological environment is a dynamically changing system, and the transport and deposition of sediments are affected by multiple factors such as tectonic movement and climate change. Traditional models have difficulty reflecting these changes in real time, resulting in limited applicability and predictive ability of the models. Therefore, we propose a sediment source tracing method for numerical simulation of clastic sedimentary rock deposition to address the above problems. Summary of the Invention

[0006] Based on the technical problems existing in the background technology, the present invention proposes a sediment source tracing method for numerical simulation of clastic sedimentary rock deposition.

[0007] The present invention proposes a sediment source tracing method for numerical simulation of clastic sedimentary rock deposition, comprising the following steps:

[0008] S1: Data Collection: Extensive geological data from the study area is collected. Topographic data includes high-precision digital topographic measurements to ensure accurate understanding of topographic undulations. Geochemical data of rock samples is obtained using advanced analytical instruments in professional laboratories to ensure the accuracy of elemental analysis. Sediment thickness data is comprehensively covered using a variety of exploration methods, such as geological drilling and geophysical surveys.

[0009] S2: Fingerprint feature extraction: Correlation analysis is performed on the geochemical data, elemental composition, isotope ratios and mineral types and contents of rock samples. By analyzing the correlation between different elements and minerals, the geochemical fingerprint characteristics corresponding to specific mineral combinations are determined, providing more accurate data basis for subsequent sediment source identification;

[0010] S3: Data preprocessing: When converting terrain data into digital elevation models, professional geographic information processing software is used to perform coordinate conversion, data interpolation and other operations to improve data accuracy. Geochemical data uses standardized algorithms to remove outliers and eliminate data deviations, providing a high-quality data foundation for subsequent model building.

[0011] S4: Establish a numerical sedimentation model: Based on the principles of fluid mechanics and sedimentology, a numerical model of clastic sedimentary rock deposition is established. This model takes into account the processes of sediment transport, deposition, and resuspension, and simulates the movement trajectory of sediments under different water flow conditions through numerical calculations.

[0012] S5: Precise Sediment Source Marking: Sediment grains from different potential sediment source areas are marked in the numerical model using a unique and easily identifiable coding method to ensure the uniqueness and stability of the markers for each area. These markers will be retained during the sediment transportation and deposition process for subsequent tracking.

[0013] S6: Detailed simulation of sediment transport and deposition: Numerical models are used to simulate water flow and the sediment transport and deposition processes at different times. The simulation fully considers the dynamic changes in water velocity and direction, and incorporates factors such as the collision and sorting of sediment particles during transport. High-precision calculation methods are used to determine the final deposition location of the sediment. Simultaneously, the movement trajectories and deposition locations of sediment particles are recorded in real time, generating dynamic data on sediment distribution over time, providing detailed data support for subsequent analysis.

[0014] S7: Sediment source tracing and analysis: After the simulation is complete, efficient data analysis algorithms are used to trace the source areas of marked sediment particles in the sediment layer. Professional data analysis software is used to calculate the distribution ratio of sediments from different source areas in the sediment layer, analyze the contribution of sediment sources and transportation paths, and combine background information such as the geological structure and paleocurrent direction of the study area to deeply verify and interpret the sediment source tracing results and explore the underlying geological evolution information.

[0015] S8: Effect evaluation: evaluation of the accuracy of sediment source tracing, evaluation of the efficiency of sediment source tracing simulation, and finally evaluation of the reliability of sediment source tracing.

[0016] Preferably, in addition to obtaining topographic data using satellite remote sensing and topographic surveying, it is also necessary to collect geological structure maps, stratigraphic profiles, etc. in the area, fuse topographic data of different accuracies and resolutions, eliminate errors and inconsistencies between data, ensure that the topographic data can accurately reflect the actual geomorphological characteristics of the study area, and provide a solid foundation for subsequent water flow simulation and sediment movement analysis.

[0017] Preferably, the formula for establishing the sedimentation numerical model is:

[0018]

[0019] where ρ is the fluid density, is the velocity vector, t is time, p is pressure, μ is dynamic viscosity, It's an external force.

[0020] Preferably, the equation of motion of the sediment particles is:

[0021]

[0022] Where m is the particle mass, is the particle velocity, is the drag force of the fluid on the particle, It's gravity, It's buoyancy.

[0023] Preferably, the calculation formula for the deposition rate of the sediment is:

[0024]

[0025] Where D is the settling velocity, C is the sediment concentration, and C1 is the saturation concentration of sediment.

[0026] Preferably, the S4 also includes the construction of a multi-level tracer system: constructing a multi-level tracer system according to the complexity of the potential sediment source; not only marking the sediment sources in different geographical locations, but also subdividing the sediments of different lithologies and formed in different periods in the same source area, and dynamic updating and management of tracers: during the numerical simulation process, the distribution of tracers will change with the transportation and deposition of sediments; establishing a dynamic update mechanism for tracers to record the position, concentration and other information of tracers in real time; when the sediment undergoes resuspension, mixing and other processes, timely updating the properties of the tracers to ensure that the tracers can accurately reflect the source and movement history of the sediments.

[0027] Preferably, the S6 also includes setting up a real-time monitoring module during the numerical simulation calculation process to monitor key parameters such as the movement trajectory of sediment particles, sedimentation rate, and tracer distribution in real time; once an abnormality is found in the simulation results, such as unreasonable sediment accumulation, chaotic tracer distribution, etc., the model parameters are adjusted in time or the simulation is re-performed to ensure the accuracy and reliability of the simulation process.

[0028] Preferably, the accuracy assessment is to compare and verify the sediment source results obtained by this method with known geological data and actual field survey results. The similarity or error rate between the two is calculated, such as using the root mean square error to quantify the assessment. The root mean square error calculation formula is:

[0029]

[0030] Among them, x i is the sediment source parameter obtained by this method (such as sediment source location coordinates, component ratio, etc.), y i is the corresponding parameter actually known, n is the number of samples, and the lower the error rate, the more accurate the method.

[0031] Preferably, the efficiency evaluation involves recording the time required to complete a sediment source tracing simulation using this method and comparing it with traditional methods. Furthermore, the method's computational efficiency is evaluated for datasets of varying sizes, such as study areas of varying sizes and numbers of sediment samples, to analyze its scalability.

[0032] Preferably, the reliability assessment involves performing multiple repeated simulations and statistically analyzing the consistency of the sediment source tracing results obtained from each simulation. For example, the overlap of the main sediment source regions in different simulation results is calculated; the higher the overlap, the greater the reliability of the method. Simulation tests under different geological conditions are conducted to verify the applicability and stability of the method in different environments.

[0033] Beneficial effects of the preparation of the present invention:

[0034] This method improves the accuracy and completeness of data through multi-source data fusion and high-precision processing, providing a reliable data basis for sediment source tracing.

[0035] The numerical model established by this method comprehensively considers various factors in the sediment transportation and deposition process, can simulate the movement trajectory of sediments more realistically, and improve the tracking accuracy.

[0036] This method achieves refined tracking of sediment sources through the construction of a multi-level tracer system and dynamic tracer update management, which can better reflect the origin and movement history of sediments.

[0037] This method has been rigorously evaluated to ensure its advantages in accuracy, efficiency, and reliability, providing a more valuable technical means for geological research. DETAILED DESCRIPTION

[0038] The present invention will be further explained below with reference to specific embodiments.

[0039] This embodiment proposes a sediment source tracing method for numerical simulation of clastic sedimentary rock deposition, including the following steps:

[0040] S1: Data Collection: Extensive geological data from the study area will be collected. Topographic data will include high-precision digital topographic surveys to ensure accurate understanding of topographic relief. Geochemical data for rock samples will be obtained using advanced analytical instruments in specialized laboratories to ensure accurate elemental analysis. Sediment thickness data will be comprehensively collected using a variety of exploration methods, such as geological drilling and geophysical surveys. In addition to obtaining topographic data using satellite remote sensing and topographic surveys, geological structural maps and stratigraphic profiles will be collected for the region. Topographic data of varying accuracy and resolution will be integrated to eliminate errors and inconsistencies between data, ensuring that the topographic data accurately reflects the actual geomorphological characteristics of the study area. This will provide a solid foundation for subsequent flow simulations and sediment movement analysis. Sampling points will be strategically arranged based on the geological characteristics of the study area to collect representative rock samples. These samples will be sent to specialized laboratories equipped with advanced analytical instruments, such as inductively coupled plasma mass spectrometry (ICP-MS) and X-ray fluorescence (XRF), to obtain geochemical data for the rock samples. At the same time, geological drilling technology is used to drill holes at different locations and depths to obtain core samples and accurately measure the thickness of sediment layers. Combined with geophysical exploration methods such as seismic exploration and electromagnetic exploration, deep sediment layers are detected to achieve full coverage of sediment thickness data.

[0041] S2: Fingerprint Feature Extraction: Correlation analysis is performed on the rock sample's geochemical data, elemental composition, isotope ratios, and mineralogy data, including mineral types and contents. By analyzing the correlations between different elements and minerals, the geochemical fingerprint corresponding to a specific mineral assemblage is determined, providing more accurate data for subsequent sediment source identification. Professional data analysis software, such as Organism and MATLAB, is used to perform correlation analysis on the rock sample's geochemical data, elemental composition, isotope ratios, and mineralogy. By establishing a data matrix and applying multivariate statistical analysis methods, such as principal component analysis (PCA) and discriminant analysis (DA), the correlations between different elements and minerals are explored.

[0042] S3: Data preprocessing: When converting terrain data into digital elevation models, professional geographic information processing software is used to perform coordinate conversion, data interpolation and other operations to improve data accuracy. Geochemical data uses standardized algorithms to remove outliers and eliminate data deviations, providing a high-quality data foundation for subsequent model building.

[0043] S4: Establish a numerical sedimentation model: Based on the principles of fluid mechanics and sedimentology, a numerical model of clastic sedimentary rock deposition is established. This model takes into account processes such as sediment transportation, deposition, and resuspension, and simulates the movement trajectory of sediments under different water flow conditions through numerical calculations. The numerical model of clastic sedimentary rock deposition, constructed based on the principles of fluid mechanics and sedimentology, comprehensively considers complex processes such as sediment transportation, deposition, and resuspension. The model is solved using finite element or finite difference methods, giving the model higher computational accuracy and stability. The construction of a multi-level tracer system and the establishment of a dynamic tracer update mechanism have achieved refined tracking of sediment sources, and can accurately reflect the origin and movement history of sediments of different periods and lithologies. This innovative model construction method provides a powerful tool for studying sediment migration under complex geological conditions, and contributes to a deeper understanding of geological evolution processes.

[0044] S5: Precise Sediment Source Marking: Sediment grains from different potential sediment source areas are marked in the numerical model using a unique and easily identifiable coding method to ensure the uniqueness and stability of the markers for each area. These markers will be retained during the sediment transportation and deposition process for subsequent tracking.

[0045] S6: Detailed simulation of sediment transport and deposition: Numerical models are used to simulate water flow and the sediment transport and deposition processes at different times. The simulation fully considers the dynamic changes in water velocity and direction, and incorporates factors such as the collision and sorting of sediment particles during transport. High-precision calculation methods are used to determine the final deposition location of the sediment. Simultaneously, the movement trajectories and deposition locations of sediment particles are recorded in real time, generating dynamic data on sediment distribution over time, providing detailed data support for subsequent analysis.

[0046] S7: Sediment source tracking and analysis: After the simulation is completed, based on the marked sediment particles in the sediment layer, an efficient data analysis algorithm is used to reversely track their source areas. Professional data analysis software is used to statistically analyze the distribution ratio of sediments from different source areas in the sediment layer, analyze the contribution size and transportation path of the sediment source, and combine the geological structure, ancient water flow direction and other background information of the study area to deeply verify and interpret the sediment source tracking results, and explore the geological evolution information behind them. In the process of sediment source tracking, precise sediment source marking and sophisticated simulation process significantly improve the tracking accuracy. The unique binary coding method ensures the uniqueness and stability of the markings of different sediment source areas, so that the sediment source can still be accurately identified in the complex sedimentation process. The simulation process fully considers factors such as water flow velocity, dynamic changes in direction, and collision and sorting of sediment particles. High-precision calculation methods and real-time monitoring and adjustment mechanisms are used to ensure the reliability of the simulation results. Compared with traditional methods, the present invention has greatly improved the tracking accuracy of sediment source location and composition ratio, and can provide more accurate information for geological research.

[0047] S8: Performance Evaluation: The accuracy of sediment source tracking, the efficiency of sediment source tracking simulation, and finally the reliability of sediment source tracking were evaluated. Through testing and evaluation on datasets of varying sizes and under diverse geological conditions, this method demonstrated good scalability and versatility. When faced with study areas of varying sizes and varying numbers of sediment samples, this method was able to flexibly adjust computing resources and parameter settings to maintain high computational efficiency. Furthermore, under various complex geological conditions, such as varying topography and stratigraphic structures, this method was able to operate stably and achieve reliable tracking results, providing a unified and effective technical approach for geological research and related applications in different regions.

[0048] In this embodiment, the formula for establishing the sedimentation numerical model is:

[0049]

[0050] where ρ is the fluid density, is the velocity vector, t is time, p is pressure, μ is dynamic viscosity, It's an external force.

[0051] The equation of motion for sediment particles is:

[0052]

[0053] Where m is the particle mass, is the particle velocity, is the drag force of the fluid on the particle, It's gravity. It's buoyancy.

[0054] The calculation formula of sediment deposition rate is:

[0055]

[0056] Where D is the settling velocity, C is the sediment concentration, and C1 is the saturation concentration of sediment.

[0057] In this embodiment, S4 also includes the construction of a multi-level tracer system: according to the complexity of the potential sediment source, a multi-level tracer system is constructed; not only the sediment sources in different geographical locations are marked, but also the sediments of different lithologies and formed in different periods in the same source area are subdivided and marked; for example, for a large mountain range as a sediment source, different tracer codes are assigned according to different geological structural units and lithostratigraphic units, and each code is further subdivided into multiple sub-codes corresponding to sediments in different periods, so as to achieve refined tracking of the sediment source, dynamic update and management of tracers: during the numerical simulation process, the distribution of tracers will change with the transportation and deposition of sediments; a dynamic update mechanism for tracers is established to record the position, concentration and other information of tracers in real time; when the sediment undergoes processes such as resuspension and mixing, the properties of the tracers are updated in time to ensure that the tracers can accurately reflect the source and movement history of the sediments.

[0058] In this embodiment, S6 also includes setting up a real-time monitoring module during the numerical simulation calculation process to monitor key parameters such as the movement trajectory of sediment particles, sedimentation rate, and tracer distribution in real time; once an abnormality is found in the simulation results, such as unreasonable sediment accumulation, chaotic tracer distribution, etc., the model parameters are adjusted in time or the simulation is re-performed to ensure the accuracy and reliability of the simulation process.

[0059] In this embodiment, the accuracy assessment is to compare and verify the sediment source results obtained by this method with known geological data and actual field survey results. The similarity or error rate between the two is calculated, such as the root mean square error (RMS) for quantitative evaluation. The RMS error calculation formula is:

[0060]

[0061] Among them, x i is the sediment source parameter obtained by this method (such as sediment source location coordinates, component ratio, etc.), y iis the known corresponding parameter, and n is the number of samples. The lower the error rate, the more accurate the method. Efficiency evaluation: The time required to complete a sediment source tracing simulation using this method was recorded and compared with traditional methods. Furthermore, the method's computational efficiency was evaluated for datasets of varying sizes, such as study areas with varying numbers of sediment samples. Its scalability was analyzed. Reliability evaluation: Multiple simulations were repeated and the consistency of the sediment source tracing results obtained from each simulation was statistically analyzed. For example, the overlap of the main sediment source regions in different simulation results was calculated; the higher the overlap, the stronger the reliability of the method. Simulation tests under various geological conditions verified the applicability and stability of the method in diverse environments. Testing and evaluation under diverse datasets and geological conditions demonstrated the method's good scalability and versatility. The method can flexibly adjust computing resources and parameter settings to maintain high computational efficiency for study areas of varying sizes and sediment sample numbers. Furthermore, the method operates stably and achieves reliable tracing results under various complex geological conditions, such as varying topography, landforms, and stratigraphic structures, providing a unified and effective technical approach for geological research and related applications in diverse regions.

[0062] This method improves data accuracy and completeness through multi-source data fusion and high-precision processing, providing a reliable data foundation for sediment source tracking. The established numerical model comprehensively considers multiple factors in the sediment transportation and deposition process, can more realistically simulate the movement trajectory of sediments, and improve tracking accuracy. The construction of a multi-level tracer system and the dynamic update management of tracers realize the refined tracking of sediment sources and can better reflect the origin and movement history of sediments. Through rigorous effect evaluation, the advantages of this method in accuracy, efficiency and reliability are ensured, providing a more valuable technical means for geological research.

[0063] The above are only preferred specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with this technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solutions and inventive concepts of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A sediment source tracing method for numerical simulation of clastic sedimentary rock deposition, characterized in that: The following steps are involved: S1: Data Collection: Extensive geological data from the study area is collected. Topographic data includes high-precision digital topographic measurements to ensure accurate understanding of topographic undulations. Geochemical data of rock samples is obtained using advanced analytical instruments in professional laboratories to ensure the accuracy of elemental analysis. Sediment thickness data is comprehensively covered using a variety of exploration methods, such as geological drilling and geophysical surveys. S2: Fingerprint feature extraction: Correlation analysis is performed on the geochemical data, elemental composition, isotope ratios and mineral types and contents of rock samples. By analyzing the correlation between different elements and minerals, the geochemical fingerprint characteristics corresponding to specific mineral combinations are determined, providing more accurate data basis for subsequent sediment source identification; S3: Data preprocessing: When converting terrain data into digital elevation models, professional geographic information processing software is used to perform coordinate conversion, data interpolation and other operations to improve data accuracy. Geochemical data uses standardized algorithms to remove outliers and eliminate data deviations, providing a high-quality data foundation for subsequent model building. S4: Establish a numerical sedimentation model: Based on the principles of fluid mechanics and sedimentology, a numerical model of clastic sedimentary rock deposition is established. This model takes into account the processes of sediment transport, deposition, and resuspension, and simulates the movement trajectory of sediments under different water flow conditions through numerical calculations. S5: Accurate Sediment Source Labeling: In the numerical model, sediment grains from different potential sediment source areas are labeled using a unique and easily identifiable coding method to ensure that the labeling of each area is unique and stable; These marks will be retained as the sediment is transported and deposited for subsequent tracking; S6: Detailed simulation of sediment transport and deposition: Numerical models are used to simulate water flow and the sediment transport and deposition processes at different times. The simulation fully considers the dynamic changes in water velocity and direction, and incorporates factors such as the collision and sorting of sediment particles during transport. High-precision calculation methods are used to determine the final deposition location of the sediment. Simultaneously, the movement trajectories and deposition locations of sediment particles are recorded in real time, generating dynamic data on sediment distribution over time, providing detailed data support for subsequent analysis. S7: Sediment source tracing and analysis: After the simulation is complete, efficient data analysis algorithms are used to trace the source areas of marked sediment particles in the sediment layer. Professional data analysis software is used to calculate the distribution ratio of sediments from different source areas in the sediment layer, analyze the contribution of sediment sources and transportation paths, and combine background information such as the geological structure and paleocurrent direction of the study area to deeply verify and interpret the sediment source tracing results and explore the underlying geological evolution information. S8: Effect evaluation: evaluation of the accuracy of sediment source tracing, evaluation of the efficiency of sediment source tracing simulation, and finally evaluation of the reliability of sediment source tracing.

2. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 1, characterized in that: In addition to using satellite remote sensing and topographic surveying to obtain topographic data, it is also necessary to collect geological structure maps, stratigraphic profiles, etc. in the area, and fuse topographic data of different accuracy and resolution to eliminate errors and inconsistencies between data, ensure that the topographic data can accurately reflect the actual geomorphological characteristics of the study area, and provide a solid foundation for subsequent water flow simulation and sediment movement analysis.

3. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 1, characterized in that: The formula for establishing the sedimentation numerical model is: where ρ is the fluid density, is the velocity vector, t is time, p is pressure, μ is dynamic viscosity, It's an external force.

4. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 3, characterized in that: The equation of motion of the sediment particles is: Where m is the particle mass, is the particle velocity, is the drag force of the fluid on the particle, It's gravity. It's buoyancy.

5. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 4, characterized in that: The calculation formula of the sedimentation rate of the sediment is: Where D is the settling velocity, C is the sediment concentration, and C1 is the saturation concentration of sediment.

6. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 1, characterized in that: The S4 also includes the construction of a multi-level tracer system: according to the complexity of the potential sediment source, a multi-level tracer system is constructed; not only the sediment sources in different geographical locations are marked, but also the sediments of different lithologies and formed in different periods in the same source area are subdivided and marked. Tracer dynamic update and management: During the numerical simulation process, the distribution of tracers will change with the transportation and deposition of sediments. A dynamic tracer update mechanism is established to record the location, concentration and other information of tracers in real time. When sediments undergo resuspension, mixing, and other processes, the tracer properties are updated in a timely manner to ensure that the tracer can accurately reflect the source and movement history of the sediments.

7. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 1, characterized in that: The S6 also includes setting up a real-time monitoring module during the numerical simulation calculation process to monitor key parameters such as the movement trajectory of sediment particles, sedimentation rate, and tracer distribution in real time; once an abnormality is found in the simulation results, such as unreasonable sediment accumulation, chaotic tracer distribution, etc., the model parameters are adjusted in time or the simulation is re-performed to ensure the accuracy and reliability of the simulation process.

8. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 1, characterized in that: The accuracy assessment is to compare and verify the sediment source results obtained by this method with known geological data and actual field survey results. The similarity or error rate between the two is calculated, such as the root mean square error (RMS) for quantitative evaluation. The RMS error calculation formula is: Among them, x i is the sediment source parameter obtained by this method (such as sediment source location coordinates, component ratio, etc.), y i is the corresponding parameter actually known, n is the number of samples, and the lower the error rate, the more accurate the method.

9. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 1, characterized in that: The efficiency evaluation measures the time required to complete a sediment source tracing simulation using this method and compares it with traditional methods. Furthermore, the method's computational efficiency is evaluated for datasets of varying sizes, such as study areas with varying numbers of sediment samples, to analyze its scalability.

10. The sediment source tracing method for numerical simulation of clastic sedimentary rock deposition according to claim 1, characterized in that: Reliability assessment involves conducting multiple repeated simulations and statistically analyzing the consistency of sediment source tracing results from each simulation. For example, the degree of overlap between the main sediment source regions in different simulation results is calculated. The higher the overlap, the more reliable the method. Simulation tests under different geological conditions verify the applicability and stability of the method in different environments.

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