Geological realism in hydrogeological and geophysical inverse modeling: A review

N Linde, P Renard, T Mukerji, J Caers - Advances in Water Resources, 2015 - Elsevier
Scientific curiosity, exploration of georesources and environmental concerns are pushing
the geoscientific research community toward subsurface investigations of ever-increasing …

Uncertainty and risk evaluation during the exploration stage of geothermal development: A review

JB Witter, WJ Trainor-Guitton, DL Siler - Geothermics, 2019 - Elsevier
Quantifying and representing uncertainty for geothermal systems is often ignored, in
practice, during the exploration phase of a geothermal development project. We propose …

Next generation three-dimensional geologic modeling and inversion

M Jessell, L Aillères, E De Kemp, M Lindsay… - 2014 - pubs.geoscienceworld.org
Abstract Existing three-dimensional (3-D) geologic systems are well adapted to high data-
density environments, such as at the mine scale where abundant drill core exists, or in …

Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and …

E Pakyuz-Charrier, M Lindsay, V Ogarko, J Giraud… - Solid Earth, 2018 - se.copernicus.org
Three-dimensional (3-D) geological structural modeling aims to determine geological
information in a 3-D space using structural data (foliations and interfaces) and topological …

Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversion

J Giraud, E Pakyuz-Charrier, M Jessell, M Lindsay… - Geophysics, 2017 - library.seg.org
We have developed a joint geophysical inversion workflow that aims to improve subsurface
imaging and decrease uncertainty by integrating petrophysical constraints and geologic …

Reservoir modeling and simulation for geothermal resource characterization and evaluation

MJ O'Sullivan, JP O'Sullivan - Geothermal power generation, 2025 - Elsevier
Three simple methods for geothermal resource estimation—power density, stored heat, and
exergy—are reviewed and their shortcomings are discussed. The conclusion is that …

[HTML][HTML] Drillhole uncertainty propagation for three-dimensional geological modeling using Monte Carlo

E Pakyuz-Charrier, J Giraud, V Ogarko, M Lindsay… - Tectonophysics, 2018 - Elsevier
Abstract Monte Carlo Uncertainty Estimation (MCUE) is an emerging heuristic uncertainty
propagation method designed to provide reliable and time/cost efficient estimates of …

A new process sensitivity index to identify important system processes under process model and parametric uncertainty

H Dai, M Ye, AP Walker, X Chen - Water Resources Research, 2017 - Wiley Online Library
A hydrological model consists of multiple process level submodels, and each submodel
represents a process key to the operation of the simulated system. Global sensitivity analysis …

Advances in subsurface modeling using the TOUGH suite of simulators

S Finsterle, EL Sonnenthal, N Spycher - Computers & Geosciences, 2014 - Elsevier
The TOUGH suite of nonisothermal multiphase flow and transport simulators is continually
updated to improve the analysis of complex subsurface processes through numerical …

iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems

S Finsterle, M Commer, JK Edmiston, Y Jung… - Computers & …, 2017 - Elsevier
Abstract iTOUGH2 is a simulation-optimization framework for the TOUGH suite of
nonisothermal multiphase flow models and related simulators of geophysical, geochemical …