Stochastic inversion of gravity data accounting for structural uncertainty

DOI10.1007/S11004-021-09978-2zbMath1495.86007OpenAlexW3204116345MaRDI QIDQ2675140

Noah Athens, Jef Caers

Publication date: 20 September 2022

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-021-09978-2

zbMATH Keywords

uncertaintyinverse modelingstructural modelinggravity modeling

Mathematics Subject Classification ID

Inverse problems in geophysics (86A22) Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08)

Related Items (1)

Geostatistical rock physics inversion for predicting the spatial distribution of porosity and saturation in the critical zone

Uses Software

• Scikit
• SGeMS
• SimPEG
• Havana
• pynoddy

Cites Work

• Unnamed Item
• A distance-based prior model parameterization for constraining solutions of spatial inverse problems
• Gradual deformation and iterative calibration of sequential stochastic simulations
• Conditional simulation of complex geological structures using multiple-point statistics
• Structural interpretation of sparse fault data using graph theory and geological rules. Fault data interpretation
• Random forests

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