A statistical assessment of seismic models of the U.S. continental crust using Bayesian inversion of ambient noise surface wave dispersion data
Sign Up to like & getrecommendations! Published in 2017 at "Tectonics"
DOI: 10.1002/2017tc004468
Abstract: We present a new approach for evaluating existing crustal models using ambient noise datasets and its associated uncertainties. We use a transdimensional hierarchical Bayesian inversion (THBI) approach to invert ambient noise surface wave phase dispersion… read more here.
Keywords: surface wave; ambient noise; noise surface; noise ... See more keywords
Probabilistic constrained Bayesian inversion for transpiration cooling
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Fluids"
DOI: 10.1002/fld.5135
Abstract: To enable safe operations in applications such as rocket combustion chambers, the materials require cooling to avoid material damage. Here, transpiration cooling is a promising cooling technique. Numerous studies investigate possibilities to simulate and evaluate… read more here.
Keywords: constrained bayesian; transpiration; bayesian inversion; probabilistic constrained ... See more keywords
Bayesian inversion of synthetic AVO data to assess fluid and shale content in sand-shale media
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Earth System Science"
DOI: 10.1007/s12040-017-0818-y
Abstract: Reservoir characterization of sand-shale sequences has always challenged geoscientists due to the presence of anisotropy in the form of shale lenses or shale layers. Water saturation and volume of shale are among the fundamental reservoir… read more here.
Keywords: sand; fluid; sand shale; bayesian inversion ... See more keywords
Petrophysical parameters prediction and uncertainty analysis in tight sandstone reservoirs using Bayesian inversion method
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Natural Gas Science and Engineering"
DOI: 10.1016/j.jngse.2018.04.031
Abstract: Abstract Petrophysical parameters are of great importance in the evaluation and characterization for reservoirs, especially for the unconventional reservoirs with complex properties. The geophysical inversion is an efficient and economic method to obtain the petrophysical… read more here.
Keywords: inversion; analysis; method; petrophysical parameters ... See more keywords
Electrical conductivity and temperature of the Earth's mantle inferred from Bayesian inversion of Swarm vector magnetic data
Sign Up to like & getrecommendations! Published in 2021 at "Physics of the Earth and Planetary Interiors"
DOI: 10.1016/j.pepi.2021.106702
Abstract: Abstract Study of induced magnetic field is a powerful way to sound Earth internal structure. This work presents a full analysis and interpretation in terms of electrical conductivity and temperature of vector magnetic field measurements… read more here.
Keywords: bayesian inversion; field; electrical conductivity; temperature ... See more keywords
Constraining landslide characteristics with Bayesian inversion of field and seismic data
Sign Up to like & getrecommendations! Published in 2020 at "Geophysical Journal International"
DOI: 10.1093/gji/ggaa056
Abstract: Using a fully nonlinear Bayesian approach based on forward modelling of granular flow, we invert for landslide parameters (volume, release geometry and rheology) from different kinds of observations. Synthetic tests show that the runout distance… read more here.
Keywords: bayesian inversion; geometry; constraining landslide; landslide parameters ... See more keywords
Multistatic Uniform Diffraction Tomography Derived Structural-Prior in Bayesian Inversion Framework for Microwave Tomography
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2022.3212835
Abstract: In this work, a quantitative Bayesian inversion framework for microwave tomography (MWT) is coupled with a multistatic uniform diffraction tomography (MUDT) method to improve the imaging quality. The method is applied for an industrial use-case… read more here.
Keywords: inversion; bayesian inversion; uniform diffraction; tomography ... See more keywords
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3236155
Abstract: Most modern imaging systems incorporate a computational pipeline to infer the image of interest from acquired measurements. The Bayesian approach to solve such ill-posed inverse problems involves the characterization of the posterior distribution of the… read more here.
Keywords: generative priors; bayesian inversion; imaging models; deep generative ... See more keywords
Fast Bayesian Inversion of Airborne Electromagnetic Data Based on the Invertible Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3264777
Abstract: The inversion of airborne electromagnetic (AEM) data suffers from severe nonuniqueness in the solution. Bayesian inference provides the means to estimate structural uncertainty with a rich suite of statistical information. However, conventional Bayesian methods are… read more here.
Keywords: inversion; bayesian inversion; fast bayesian; inversion airborne ... See more keywords
Prediction of Refracturing Effect of Tight Gas Reservoirs Based on Bayesian Inversion Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7593526
Abstract: As a key technology for tight gas stimulation, refracturing plays an important role in tight gas development. In the production process of tight gas wells, the reservoir or fracturing process may cause the hydraulic fractures… read more here.
Keywords: gas; tight gas; bayesian inversion; prediction ... See more keywords