Inversion of Structural Geology Data for Fold Geometry [PDF]
Journal of Geophysical Research: Solid Earth, 2018 AbstractRecent developments in structural modeling techniques have dramatically increased the capability to incorporate fold‐related data into the modeling workflow. However, these techniques are lacking a mathematical framework for properly addressing structural uncertainties. Previous studies investigating structural uncertainties have focused on the
Lachlan Grose +5 more
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Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models [PDF]
Geoscientific Model Development, 2022 Parametric geological models such as implicit or kinematic models provide low-dimensional, interpretable representations of 3-D geological structures. Combining these models with geophysical data in a probabilistic joint inversion framework provides an ...
R. Scalzo +16 more
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New perspectives on Solid Earth Geology from Seismic Texture to Cooperative Inversion [PDF]
Scientific Reports, 2019 AbstractSeismic and electromagnetic methods are fundamental to Solid Earth research and subsurface exploration. Acquisition cost reduction is making dense 3D application of these methods accessible to a broad range of geo-scientists. However, the challenge of extracting geological meaning remains.
Cường Văn Anh Lê +2 more
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Integrated interpretation of geology and geophysics, using inversions, to predict geology under cover [PDF]
ASEG Extended Abstracts, 2010 Predictive 3D geological models of the subsurface can be developed using a range of available tools. Each tool is suited to slightly different problems and datasets. The method described here, using the UBC-GIF inversions algorithms, allows rapid development of models using an objective, automated procedure.
Nicholas Williams
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Seismic imaging and recognition technology of medium and shallow channel sand body [PDF]
E3S Web of Conferences, 2022 The fine characterization of channel sand body is a complex system engineering. The longitudinal superposition relationship of channel is complex, the sandstone thickness is thin, and the lateral changes of lithology and physical properties are obvious ...
Wang Dongna
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Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications [PDF]
Earth System Science Data, 2022 Unlike some other well-known challenges such as facial recognition, where machine learning and inversion algorithms are widely developed, the geosciences suffer from a lack of large, labelled data sets that can be used to validate or train robust machine
M. Jessell +16 more
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Application of fine structure interpretation and reservoir prediction technology in Beier Sag [PDF]
E3S Web of Conferences, 2021 After years of exploration in Beier Sag, the exploration is becoming more and more difficult. Beier Sag is characterized by many faults and complex structures.
Zhang Bin
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Automatic Horizon Picking Using Multiple Seismic Attributes and Markov Decision Process
Remote Sensing, 2023 Picking the reflection horizon is an important step in velocity inversion and seismic interpretation. Manual picking is time-consuming and no longer suitable for current large-scale seismic data processing.
Chengliang Wu +5 more
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Stochastic inversion for scaling geology [PDF]
Geophysical Journal International, 1990 SUMMARY We have examined acoustic, density resistivity, gamma-ray and neutron logs from a number of boreholes in both sedimentary and igneous sequences. We show that the power spectra of these geophysical variables obey a scaling law, that is, the power spectra are proportional to some power of the frequency.
J. P. Todoeschuck, Mark Pilkington
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Probabilistic approach to Gramian inversion of multiphysics data
Frontiers in Earth Science, 2023 We consider a probabilistic approach to the joint inversion of multiphysics data based on Gramian constraints. The multiphysics geophysical survey represents the most effective technique for geophysical exploration because different physical data reflect
Michael S. Zhdanov +3 more
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