Assessment of seismic tomographic models of the contiguous United States using intermediate-period 3D wavefield simulation
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DOI: 10.1093/gji/ggab406
Abstract: The contiguous United States has been well instrumented with broadband seismic stations due to the development of the EarthScope Transportable Array. Previous studies have provided various 3D seismic wave speed models for the crust and… read more here.
Keywords: initial model; period; contiguous united; united states ... See more keywords
On the sensitivity of teleseismic full-waveform inversion to earth parametrization, initial model and acquisition design
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DOI: 10.1093/gji/ggx480
Abstract: S U M M A R Y Full-waveform inversion (FWI) is not yet a mature imaging technology for lithospheric imaging from teleseismic data. Therefore, its promise and pitfalls need to be assessed more accurately according… read more here.
Keywords: full waveform; parametrization; initial model; model acquisition ... See more keywords
Building initial model for seismic inversion based on semi‐supervised learning
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DOI: 10.1111/1365-2478.13491
Abstract: Seismic inversion is an important tool for reservoir characterization. The inversion results are significantly impacted by a reliable initial model. Conventional well interpolation methods are not able to meet the needs of seismic inversion for… read more here.
Keywords: initial model; proposed method; model; seismic inversion ... See more keywords
An initial model construction method constrained by stratigraphic sequence representation for pre‐stack seismic inversion
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DOI: 10.1111/1365-2478.13558
Abstract: The construction of an accurate and high‐resolution reservoir parameter model is crucial for reservoir characterization. However, due to the band‐limited characteristics of seismic data, the inversion results heavily rely on the accuracy of the initial… read more here.
Keywords: initial model; representation; stratigraphic sequence; model ... See more keywords
Blind Federated Learning without initial model
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DOI: 10.1186/s40537-024-00911-y
Abstract: Federated learning is an emerging machine learning approach that allows the construction of a model between several participants who hold their own private data. This method is secure and privacy-preserving, suitable for training a machine… read more here.
Keywords: initial model; learning without; without initial; model ... See more keywords
Extending Product Lifecycles—An Initial Model with New and Emerging Existential Design Aspects Required for Long and Extendable Lifecycles
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DOI: 10.3390/app14135812
Abstract: This paper introduces an evaluated initial model for how product lifecycles can be extended considering new and emerging existential design aspects concerning both general as well as digital/connected products. The initial model, which is cyclic,… read more here.
Keywords: design aspects; initial model; product; existential design ... See more keywords