Results 21 to 30 of about 846,274 (324)
SPE Journal, 2022 History matching is a critical process used for calibrating simulation models and assessing subsurface uncertainties. This common technique aims to align the reservoir models with the observed data. However, achieving this goal is often challenging due
Zhen Zhang +4 more
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gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective
Infrastructures, 2021 In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the uncertain input parameters of a structural model given the measurements of the outputs.
Filippo Landi +3 more
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New Journal of Physics, 2023 Quantum state tomography (QST) is essential for characterizing unknown quantum states. Several methods of estimating quantum states already exist and can be classified mainly into three broad classes.
Subhadeep Mondal, Amit Kumar Dutta
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Environmental stress level to model tumor cell growth and survival
Mathematical Biosciences and Engineering, 2022 Survival of living tumor cells underlies many influences such as nutrient saturation, oxygen level, drug concentrations or mechanical forces. Data-supported mathematical modeling can be a powerful tool to get a better understanding of cell behavior in ...
Sabrina Schönfeld +4 more
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Bayesian Markov Chain Monte Carlo inversion of surface-based transient electromagnetic data
SN Applied Sciences, 2022 Article Highlights 1. We propose a Bayesian MCMC procedure for surface-based TEM data inversion and apply it successfully both in synthetic data and field data. 2.
Shengqiang Deng +4 more
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Frontiers in Earth Science, 2022 For economical production from a fractured reservoir, a characteristic analysis of the fracture parameters like its density and orientation within the reservoir is essential to improve the fluid flow during extraction.
Ferhana Masood +4 more
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Bayesian inversion and the Tomita–Takesaki modular group [PDF]
Quarterly Journal of Mathematics, 2021 We show that conditional expectations, optimal hypotheses, disintegrations and adjoints of unital completely positive maps are all instances of Bayesian inverses. We study the existence of the latter by means of the Tomita–Takesaki modular group and we
L. Giorgetti +3 more
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Hierarchical Bayesian Inversion of Global Variables and Large‐Scale Spatial Fields
Water Resources Research, 2021 Bayesian inversion is commonly applied to quantify uncertainty of hydrological variables. However, Bayesian inversion is usually focused on spatial hydrological properties instead of hyperparameters or non‐gridded physical global variables. In this paper,
Lijing Wang, P. Kitanidis, J. Caers
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Structural Gaussian priors for Bayesian CT reconstruction of subsea pipes
Applied Mathematics in Science and Engineering, 2023 A non-destructive testing (NDT) application of X-ray computed tomography (CT) is inspection of subsea pipes in operation via 2D cross-sectional scans. Data acquisition is time-consuming and costly due to the challenging subsea environment. While reducing
Silja L. Christensen +3 more
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Seismica, 2022 Geodynamic tomography, an imaging technique that incorporates constraints from geodynamics and mineral physics to restrict the potential number of candidate seismic models down to a subset consistent with geodynamic predictions, is applied to a thermal ...
John Keith Magali, Thomas Bodin
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