arXiv - PHYS - Geophysics最新文献_第10页

Unsteady slip pulses under spatially-varying prestress 空间变化预应力下的非稳定滑移脉冲

arXiv - PHYS - Geophysics Pub Date : 2024-07-31 DOI: arxiv-2407.21539

Anna Pomyalov, Eran Bouchbinder

{"title":"Unsteady slip pulses under spatially-varying prestress","authors":"Anna Pomyalov, Eran Bouchbinder","doi":"arxiv-2407.21539","DOIUrl":"https://doi.org/arxiv-2407.21539","url":null,"abstract":"It was recently established that self-healing slip pulses under uniform\u0000prestress $tau_b$ are unstable frictional rupture modes, i.e., they either\u0000slowly expand/decay with time t. Furthermore, their dynamics were shown to\u0000follow a reduced-dimensionality description corresponding to a special $L(c)$\u0000line in a plane defined by the pulse propagation velocity $c(t)$ and size\u0000$L(t)$. Yet, uniform prestress is rather the exception than the rule in natural\u0000faults. We study the effects of a spatially-varying prestress $tau_b(x)$ on 2D\u0000slip pulses, initially generated under a uniform $tau_b$ along a\u0000rate-and-state friction fault. We consider periodic and constant-gradient\u0000prestress $tau_b(x)$ around the reference uniform $tau_b$. For a periodic\u0000$tau_b(x)$, pulses either sustain and form quasi-limit cycles in the $L-c$\u0000plane or decay predominantly monotonically along the $L(c)$ line, depending on\u0000the instability index of the initial pulse and the properties of the periodic\u0000$tau_b(x)$. For a constant-gradient $tau_b(x)$, expanding/decaying pulses\u0000closely follow the $L(c)$ line, with systematic shifts determined by the sign\u0000and magnitude of the gradient. We also find that a spatially-varying\u0000$tau_b(x)$ can revert the expanding/decaying nature of the initial reference\u0000pulse. Finally, we show that a constant-gradient $tau_b(x)$, of sufficient\u0000magnitude and specific sign, can lead to the nucleation of a back-propagating\u0000rupture at the healing tail of the initial pulse, generating a bilateral\u0000crack-like rupture. This pulse-to-crack transition, along with the\u0000above-described effects, demonstrate that rich rupture dynamics merge from a\u0000simple, nonuniform prestress. Furthermore, we show that as long as pulses\u0000exist, their dynamics are related to the special $L(c)$ line, providing an\u0000effective, reduced-dimensionality description of unsteady slip pulses under\u0000spatially-varying prestress.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141870690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generative Diffusion Model for Seismic Imaging Improvement of Sparsely Acquired Data and Uncertainty Quantification 用于改进稀疏采集数据地震成像和不确定性量化的生成扩散模型

arXiv - PHYS - Geophysics Pub Date : 2024-07-31 DOI: arxiv-2407.21683

Xingchen Shi, Shijun Cheng, Weijian Mao, Wei Ouyang

{"title":"Generative Diffusion Model for Seismic Imaging Improvement of Sparsely Acquired Data and Uncertainty Quantification","authors":"Xingchen Shi, Shijun Cheng, Weijian Mao, Wei Ouyang","doi":"arxiv-2407.21683","DOIUrl":"https://doi.org/arxiv-2407.21683","url":null,"abstract":"Seismic imaging from sparsely acquired data faces challenges such as low\u0000image quality, discontinuities, and migration swing artifacts. Existing\u0000convolutional neural network (CNN)-based methods struggle with complex feature\u0000distributions and cannot effectively assess uncertainty, making it hard to\u0000evaluate the reliability of their processed results. To address these issues,\u0000we propose a new method using a generative diffusion model (GDM). Here, in the\u0000training phase, we use the imaging results from sparse data as conditional\u0000input, combined with noisy versions of dense data imaging results, for the\u0000network to predict the added noise. After training, the network can predict the\u0000imaging results for test images from sparse data acquisition, using the\u0000generative process with conditional control. This GDM not only improves image\u0000quality and removes artifacts caused by sparse data, but also naturally\u0000evaluates uncertainty by leveraging the probabilistic nature of the GDM. To\u0000overcome the decline in generation quality and the memory burden of large-scale\u0000images, we develop a patch fusion strategy that effectively addresses these\u0000issues. Synthetic and field data examples demonstrate that our method\u0000significantly enhances imaging quality and provides effective uncertainty\u0000quantification.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141870685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D Variational Inference-Based Double-Difference Seismic Tomography Method and Application to the SAFOD Site, California 基于三维变分推理的双差分地震层析成像方法及其在加利福尼亚州 SAFOD 现场的应用

arXiv - PHYS - Geophysics Pub Date : 2024-07-31 DOI: arxiv-2407.21405

Hao Yang, Xin Zhang, Haijiang Zhang

{"title":"3D Variational Inference-Based Double-Difference Seismic Tomography Method and Application to the SAFOD Site, California","authors":"Hao Yang, Xin Zhang, Haijiang Zhang","doi":"arxiv-2407.21405","DOIUrl":"https://doi.org/arxiv-2407.21405","url":null,"abstract":"Seismic tomography is a crucial technique used to image subsurface structures\u0000at various scales, accomplished by solving a nonlinear and nonunique inverse\u0000problem. It is therefore important to quantify velocity model uncertainties for\u0000accurate earthquake locations and geological interpretations. Monte Carlo\u0000sampling techniques are usually used for this purpose, but those methods are\u0000computationally intensive, especially for large datasets or high-dimensional\u0000parameter spaces. In comparison, Bayesian variational inference provides a more\u0000efficient alternative by delivering probabilistic solutions through\u0000optimization. The method has been proven to be efficient in 2D tomographic\u0000problems. In this study, we apply variational inference to solve 3D\u0000double-difference (DD) seismic tomographic system using both absolute and\u0000differential travel time data. Synthetic tests demonstrate that the new method\u0000can produce more accurate velocity models than the original DD tomography\u0000method by avoiding regularization constraints, and at the same time provides\u0000more reliable uncertainty estimates. Compared to traditional checkerboard\u0000resolution tests, the resulting uncertainty estimates measure more accurately\u0000the reliability of the solution. We further apply the new method to data\u0000recorded by a local dense seismic array around the San Andreas Fault\u0000Observatory at Depth (SAFOD) site along the San Andreas Fault (SAF) at\u0000Parkfield. Similar to other researches, the obtained velocity models show\u0000significant velocity contrasts across the fault. More importantly, the new\u0000method produces velocity uncertainties of less than 0.34 km/s for Vp and 0.23\u0000km/s for Vs. We therefore conclude that variational inference provides a\u0000powerful and efficient tool for solving 3D seismic tomographic problems and\u0000quantifying model uncertainties.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141880844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Meteoritic Tutton salt, a naturally inspired reservoir of cometary and asteroidal ammonium 陨石塔顿盐--自然激发的彗星和小行星铵库

arXiv - PHYS - Geophysics Pub Date : 2024-07-30 DOI: arxiv-2407.20997

Sergey N. Britvin, Oleg S. Vereshchagin, Natalia S. Vlasenko, Maria G. Krzhizhanovskaya, Marina A. Ivanova

引用次数: 0

libEMMI_MGFD: A program of marine controlled-source electromagnetic modelling and inversion using frequency-domain multigrid solver libEMMI_MGFD: 使用频域多网格求解器进行海洋可控源电磁建模和反演的程序

arXiv - PHYS - Geophysics Pub Date : 2024-07-30 DOI: arxiv-2407.20795

Pengliang Yang, An Ping

{"title":"libEMMI_MGFD: A program of marine controlled-source electromagnetic modelling and inversion using frequency-domain multigrid solver","authors":"Pengliang Yang, An Ping","doi":"arxiv-2407.20795","DOIUrl":"https://doi.org/arxiv-2407.20795","url":null,"abstract":"We develop a software package libEMMI_MGFD for 3D frequency-domain marine\u0000controlled-source electromagnetic (CSEM) modelling and inversion. It is the\u0000first open-source C program tailored for geometrical multigrid (GMG) CSEM\u0000simulation. An volumetric anisotropic averaging scheme has been employed to\u0000compute effective medium for modelling over uniform and nonuniform grid. The\u0000computing coordinate is aligned with acquisition geometry by rotation with the\u0000azimuth and dip angles, facilitating the injection of the source and the\u0000extraction of data with arbitrary orientations. Efficient nonlinear\u0000optimization is achieved using quasi-Newton scheme assisted with bisection\u0000backtracking line search. In constructing the modularized Maxwell solver and\u0000evaluating the misfit and gradient for 3D CSEM inversion, the reverse\u0000communication technique is the key to the compaction of the software while\u0000maintaining the computational performance. A number of numeric tests\u0000demonstrate the efficiency of the modelling while preserving the solution\u0000accuracy. A 3D marine CSEM inversion example been been examined for resistivity\u0000imaging.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141870689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge 用于高效水文建模的机器学习替代物：有管理的含水层补给随机模拟的启示

arXiv - PHYS - Geophysics Pub Date : 2024-07-30 DOI: arxiv-2407.20902

Timothy Dai, Kate Maher, Zach Perzan

{"title":"Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge","authors":"Timothy Dai, Kate Maher, Zach Perzan","doi":"arxiv-2407.20902","DOIUrl":"https://doi.org/arxiv-2407.20902","url":null,"abstract":"Process-based hydrologic models are invaluable tools for understanding the\u0000terrestrial water cycle and addressing modern water resources problems.\u0000However, many hydrologic models are computationally expensive and, depending on\u0000the resolution and scale, simulations can take on the order of hours to days to\u0000complete. While techniques such as uncertainty quantification and optimization\u0000have become valuable tools for supporting management decisions, these analyses\u0000typically require hundreds of model simulations, which are too computationally\u0000expensive to perform with a process-based hydrologic model. To address this\u0000gap, we propose a hybrid modeling workflow in which a process-based model is\u0000used to generate an initial set of simulations and a machine learning (ML)\u0000surrogate model is then trained to perform the remaining simulations required\u0000for downstream analysis. As a case study, we apply this workflow to simulations\u0000of variably saturated groundwater flow at a prospective managed aquifer\u0000recharge (MAR) site. We compare the accuracy and computational efficiency of\u0000several ML architectures, including deep convolutional networks, recurrent\u0000neural networks, vision transformers, and networks with Fourier transforms. Our\u0000results demonstrate that ML surrogate models can achieve under 10% mean\u0000absolute percentage error and yield order-of-magnitude runtime savings over\u0000processed-based models. We also offer practical recommendations for training\u0000hydrologic surrogate models, including implementing data normalization to\u0000improve accuracy, using a normalized loss function to improve training\u0000stability and downsampling input features to decrease memory requirements.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"213 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141870686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Theoretical analysis of stress perturbations from a partially-lubricated viscous gravity current 部分润滑粘性重力流应力扰动的理论分析

arXiv - PHYS - Geophysics Pub Date : 2024-07-30 DOI: arxiv-2407.20565

Joshua H. Rines, Ching-Yao Lai, Yongji Wang

{"title":"Theoretical analysis of stress perturbations from a partially-lubricated viscous gravity current","authors":"Joshua H. Rines, Ching-Yao Lai, Yongji Wang","doi":"arxiv-2407.20565","DOIUrl":"https://doi.org/arxiv-2407.20565","url":null,"abstract":"We present a theoretical investigation into the dynamics of a viscous gravity\u0000current subjected to spatially-finite lubrication (i.e., a `slippery patch').\u0000The work is motivated by grounded ice sheets flowing across patches of basal\u0000meltwater which reduce the ice-bed frictional coupling, causing perturbations\u0000enhancing ice motion, with implications for increased ice flux into the ocean\u0000and sea level rise. The flow is characterized by transitions between shear- and\u0000extension-dominated dynamics, which necessitates boundary-layer solutions at\u0000the transition points. We develop a depth-integrated analytical model of\u0000Newtonian flow which concisely reveals fundamental relationships between ice\u0000sheet geometry (thickness, surface slope, and slippery patch length) and the\u0000magnitude and spatial extent of resulting horizontal deviatoric stresses. This\u0000reduced-order analytical model shows good quantitative agreement with numerical\u0000simulations using 2-D Newtonian Stokes equations, which are further extended to\u0000the case of a non-Newtonian flow. From the reduced-order model, we rationalize\u0000that the slippery patch-induced stress perturbations are exponentially-decaying\u0000functions of distance upstream away from the patch onset. We also show that the\u0000amplitude of the perturbation scales linearly with the surface slope and patch\u0000length while the decay lengthscale scales linearly with ice thickness. These\u0000fundamental relationships have implications for the response of the Greenland\u0000Ice Sheet to the inland expansion of basal meltwater presence over the coming\u0000warming decades.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"126 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141870695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coupling 3D geodynamics and dynamic earthquake rupture: fault geometry, rheology and stresses across timescales 三维地球动力学与动态地震破裂耦合：断层几何、流变学和跨时标应力

arXiv - PHYS - Geophysics Pub Date : 2024-07-30 DOI: arxiv-2407.20609

Anthony Jourdon, Jorge Nicolas Hayek, Dave A. May, Alice-Agnes Gabriel

{"title":"Coupling 3D geodynamics and dynamic earthquake rupture: fault geometry, rheology and stresses across timescales","authors":"Anthony Jourdon, Jorge Nicolas Hayek, Dave A. May, Alice-Agnes Gabriel","doi":"arxiv-2407.20609","DOIUrl":"https://doi.org/arxiv-2407.20609","url":null,"abstract":"Tectonic deformation crucially shapes the Earth's surface, with strain\u0000localization resulting in the formation of shear zones and faults that\u0000accommodate significant tectonic displacement. Earthquake dynamic rupture\u0000models, which provide valuable insights into earthquake mechanics and seismic\u0000ground motions, rely on initial conditions such as pre-stress states and fault\u0000geometry. However, these are often inadequately constrained due to\u0000observational limitations. To address these challenges, we develop a new method\u0000that loosely couples 3D geodynamic models to 3D dynamic rupture simulations,\u0000providing a mechanically consistent framework for earthquake analysis. Our\u0000approach does not prescribe fault geometry but derives it from the underlying\u0000lithospheric rheology and tectonic velocities using the medial axis transform.\u0000We perform three long-term geodynamics models of a strike-slip geodynamic\u0000system, each involving different continental crust rheology. We link these with\u0000nine dynamic rupture models, in which we investigate the role of varying\u0000fracture energy and plastic strain energy dissipation in the dynamic rupture\u0000behavior. These simulations suggest that for our fault, long-term rheology, and\u0000geodynamic system, a plausible critical linear slip weakening distance falls\u0000within Dc in [0.6,1.5]. Our results indicate that the long-term 3D stress field\u0000favors slip on fault segments better aligned with the regional plate motion and\u0000that minor variations in the long-term 3D stress field can strongly affect\u0000rupture dynamics, providing a physical mechanism for arresting earthquake\u0000propagation. Our geodynamically informed earthquake models highlight the need\u0000for detailed 3D fault modeling across time scales for a comprehensive\u0000understanding of earthquake mechanics.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141870687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Changes in seismicity in a volcanically active region, on the eastern side of Izu Peninsula, Japan 日本伊豆半岛东侧火山活跃地区的地震变化

arXiv - PHYS - Geophysics Pub Date : 2024-07-29 DOI: arxiv-2407.19648

K. Z. Nanjo, Y. Yukutake, T. Kumazawa

{"title":"Changes in seismicity in a volcanically active region, on the eastern side of Izu Peninsula, Japan","authors":"K. Z. Nanjo, Y. Yukutake, T. Kumazawa","doi":"arxiv-2407.19648","DOIUrl":"https://doi.org/arxiv-2407.19648","url":null,"abstract":"The Izu-Tobu region, on the eastern side of Izu Peninsula, in Japan, is\u0000volcanically and seismically active. In this region, earthquake swarms of\u0000ordinary earthquakes frequently occur at shallow depths, which is considered to\u0000be associated with magma intrusion. Beneath ordinary earthquakes, low-frequency\u0000earthquakes (LFEs) are infrequently observed. We conducted a timeseries\u0000analysis of both types of earthquakes during the time period 2005-2020, using a\u0000variant of the Epidemic-Type Aftershock Sequence model. For this analysis, we\u0000used the Japan Meteorological Agency catalog of ordinary earthquakes and the\u0000catalog of LFEs produced using the matched filter method. The observed result,\u0000which was common to both types of earthquakes, showed a significant change in\u0000seismicity, which became quiet, with the inflection point falling sometime\u0000between late 2009 and mid-2013, during which two out of three pronounced\u0000earthquake swarms occurred. We associated this seismic quiescence with changes\u0000in background rate to be low, where background rate, by removing the triggering\u0000effect of aftershocks, was interpreted as having been caused directly by the\u0000magma source, which can vary with time. We used surface displacement data\u0000obtained from the Geospatial Information Authority of Japan, and observed that\u0000the uplift due to magma intrusion was significant during the 1970s-1990s\u0000whereas it was in abatement or unobservable during the studied period\u0000(2005-2020). We also found that the seismic quiescence occurred without\u0000significant crustal movement during the studied period. Our implication from\u0000this finding is that magma source, which caused magma intrusion into the\u0000Izu-Tobu region, is in a transition phase, becoming less active, compared with\u0000the magma source during the 1970s-1990s.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141870692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accurate background velocity model building method based on iterative deep learning in sparse transform domain 基于稀疏变换域迭代深度学习的精确背景速度模型构建方法

arXiv - PHYS - Geophysics Pub Date : 2024-07-28 DOI: arxiv-2407.19419

Guoxin Chen

{"title":"Accurate background velocity model building method based on iterative deep learning in sparse transform domain","authors":"Guoxin Chen","doi":"arxiv-2407.19419","DOIUrl":"https://doi.org/arxiv-2407.19419","url":null,"abstract":"Whether it is oil and gas exploration or geological science research, it is\u0000necessary to accurately grasp the structural information of underground media.\u0000Full waveform inversion is currently the most popular seismic wave inversion\u0000method, but it is highly dependent on a high-quality initial model. Artificial\u0000intelligence algorithm deep learning is completely data-driven and can get rid\u0000of the dependence on the initial model. However, the prediction accuracy of\u0000deep learning algorithms depends on the scale and diversity of training data\u0000sets. How to improve the prediction accuracy of deep learning without\u0000increasing the size of the training set while also improving computing\u0000efficiency is a worthy issue to study. In this paper, an iterative deep\u0000learning algorithm in the sparse transform domain is proposed based on the\u0000characteristics of deep learning: first, based on the computational efficiency\u0000and the effect of sparse transform, the cosine transform is selected as the\u0000sparse transform method, and the seismic data and the corresponding velocity\u0000model are cosine transformed to obtain their corresponding sparse expressions,\u0000which are then used as the input data and corresponding label data for deep\u0000learning; then we give an iterative deep learning algorithm in the cosine\u0000transform domain, that is, after obtaining the seismic data residuals and\u0000velocity model residuals of the previous round of test results, they are used\u0000again as new input data and label data, and re-trained in the cosine domain to\u0000obtain a new network, and the prediction results of the previous round are\u0000corrected, and then the cycle is repeated until the termination condition is\u0000reached. The algorithm effect was verified on the SEG/EAGE salt model and the\u0000seabed sulfide physical model site data.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"362 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141870693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0