Sedimentary facies controls for reservoir quality prediction of lower shihezi member-1 of the Hangjinqi area, Ordos Basin

A Anees, H Zhang, U Ashraf, R Wang, K Liu, A Abbas… - Minerals, 2022 - mdpi.com
The tight gas reserves in the Hangjinqi area are estimated at 700× 109 m3. Since the
exploration of the Hangjinqi, numerous wells are already drilled. However, the Hangjinqi …

[HTML][HTML] Estimating uncertainties in 3-D models of complex fold-and-thrust belts: A case study of the eastern alps triangle zone

S Brisson, F Wellmann, N Chudalla… - Applied Computing and …, 2023 - Elsevier
Geological modeling commonly results in a single prescribed geometric representation of
the subsurface with no consideration of uncertainties. Accounting for uncertainties is of …

Variational Gaussian processes for implicit geological modeling

ÍG Gonçalves, F Guadagnin, DP Cordova - Computers & Geosciences, 2023 - Elsevier
A variational Gaussian process (VGP) model for implicit geological modeling is proposed,
capable of modeling linear and non-linear trends. A new likelihood capable of honoring …

AdaHRBF v1. 0: gradient-adaptive Hermite–Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling

B Zhang, L Du, U Khan, Y Tong… - Geoscientific Model …, 2023 - gmd.copernicus.org
Abstract Three-dimensional (3D) stratigraphic modeling is capable of modeling the shape,
topology, and other properties of strata in a digitalized manner. The implicit modeling …

Assessing geometrical uncertainties in geological interface models using Markov chain Monte Carlo sampling via abstract graph

J Huang, H Deng, J Chen, N Li, J Wang, Z Liu, X Mao - Tectonophysics, 2023 - Elsevier
Uncertainty assessment is a common requirement in 3D modeling applications. The Markov
chain Monte-Carlo (MCMC) method is a practical way to generate multiple realizations of 3D …

Characterization of subsurface geology and hydrogeology in Kribi-Cameroon using electrical resistivity soundings and 3D-Implicit modelling: Baseline for …

GMS Yevalla, ES Rodrigue, NE Ndoh… - Groundwater for …, 2024 - Elsevier
This scientific article aims to characterize the geology and hydrogeology of Kribi, Cameroon
for the purposes of water resources management, infrastructure development, and …

Modelling and inferring fracture curvature from borehole GPR data: A case study from the Bedretto Laboratory, Switzerland

D Escallon, A Shakas, H Maurer - Near Surface Geophysics, 2024 - Wiley Online Library
Fracture curvature has been observed from the millimetre to the kilometre scales.
Nevertheless, characterizing curvature remains challenging due to data sparsity and …

[HTML][HTML] GeoINR 1.0: an implicit neural network approach to three-dimensional geological modelling

M Hillier, F Wellmann, EA de Kemp… - Geoscientific Model …, 2023 - gmd.copernicus.org
Implicit neural representation (INR) networks are emerging as a powerful framework for
learning three-dimensional shape representations of complex objects. These networks can …

Implementation of Adaptive Localization for Enhancing Ensemble-Based History Matching in Hydrocarbon Reservoir Management

M Pernalete, O Lia, T Popa, R Hanea - SPE Reservoir Simulation …, 2023 - onepetro.org
In reservoir management, the ensemble-based history matching is applied to quantify and
update uncertainty in reservoir characterization with the main objective to support high …

[PDF][PDF] Applied Computing and Geosciences

S Brisson, F Wellmann, N Chudalla, J von Harten… - researchgate.net
Geological modeling commonly results in a single prescribed geometric representation of
the subsurface with no consideration of uncertainties. Accounting for uncertainties is of …