Results 51 to 60 of about 3,473 (205)

1D Basin Modelling of Upper Jurassic to Upper Cretaceous Source Rocks in the Southern Pletmos Sub‐Basin, Outeniqua Basin, Offshore South Africa

Journal of Petroleum Geology, EarlyView.
ABSTRACT The Pletmos sub‐basin in the Outeniqua Basin, offshore South Africa, is divided by the Superior, Pletmos and Plettenberg faults into northern and southern depocentres. In this study, geological and organic geochemical data together with 1D basin modelling were used to investigate the burial, thermal and maturation histories, and the timing of ...
Fritz Ako Agbor, Sanelisiwe Mhlambi, Nimuno Achu Teumahji, Wasiu Adedayo Sonibare, Jan van Bever Donker   +4 more
wiley   +1 more source

Bed‐scale quantitative discrimination of hyperpycnites from intrabasinal turbidites—Results from a channelised slope system in the Upper Carboniferous Westward Ho! Formation, United Kingdom

Sedimentology, EarlyView.
ABSTRACT Features considered indicative of hyperpycnites and intrabasinal turbidites overlap. Outcrop study presented here suggests that the Westward Ho! Formation forms an 800 m high deepwater‐slope system dominated by hyperpycnites. Taking this unit, and other successions where hyperpycnites have been described, as having been deposited solely from ...
Tony Reynolds
wiley   +1 more source

Fluid‐Induced Magnetic Enhancement in Sandstone Friction Experiments: Implications for Coseismic Fault Temperature Estimates

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Constraining peak temperature during seismic slip is essential for quantifying earthquake energy budgets and fault weakening. Rock magnetic methods provide a sensitive means of estimating shear‐induced coseismic temperature rise; however, the role of fluids in friction‐induced magnetic alterations remains poorly constrained.
Qiang Fu, Mark J. Dekkers, Simo Spassov, Derya Gürer, Chien‐Cheng Hung, Job P. B. Arts, André R. Niemeijer   +6 more
wiley   +1 more source

Lessons Learned From Using Simple Supervised Learning Tools on Small‐Ensemble Data—Applicability to Tunnel Design and Monitoring

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 8, Page 3397-3411, 10 June 2026.
ABSTRACT Integrating interdisciplinary strategies with artificial intelligence (AI), particularly machine learning (ML), is an effective way of addressing urgent engineering challenges. Therefore, a thorough evaluation of existing methodologies is essential, taking into account their respective strengths, limitations and opportunities.
Lina‐María Guayacán‐Carrillo, Jean‐Michel Pereira, Jean Sulem   +2 more
wiley   +1 more source

Deformation and water/gas flow properties of claystone/bentonite mixtures

Journal of Rock Mechanics and Geotechnical Engineering, 2021
As a potential engineered barrier material for disposal of radioactive waste in clay formations, claystone aggregate excavated from the Opalinus clay (OPA), its mixture with bentonite MX80 in a mass ratio of 7/3, and pure bentonite were extensively ...
Chun-Liang Zhang
doaj   +1 more source

Long-Term Effects of Near-Field Host Rock Alteration on Radionuclide Migration in Deep Geological Disposal

He huaxue yu fangshe huaxue
The safe disposal of high-level radioactive waste(HLW) is a critical challenge for the sustainable development of nuclear energy globally. Deep geological disposal, internationally recognized as a viable solution, aims to isolate HLW over long timescales(
Hanyu WU, Mingwei WANG, Xin WEN, Mingliang KANG, Yuan CHEN, Qiaohui FAN   +5 more
doaj   +1 more source

Inferring Internal Structures of Porous Media From Orthogonal External Surfaces: A Novel 2D‐to‐3D Reconstruction Method Based on a Deep Conditional Diffusion Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Diffusion models, a class of generative models renowned for producing realistic images, hold significant promise for reconstructing complex three‐dimensional (3D) porous media. Nevertheless, existing approaches predominantly generate stochastic microstructures visually resembling the training data but often struggle to accurately recover ...
Yinquan Meng, Jianguo Jiang, Benzhong Zhao, Shujun Ye, Dong Wang, Jichun Wu   +5 more
wiley   +1 more source

Foreland Flexure and Lower Crustal Flow as Controls on Cenozoic Subsidence Anomalies in the Zengmu (Sarawak) Basin, South China Sea

Tectonics, Volume 45, Issue 6, June 2026.
Abstract While the evolution of individual passive marginal and foreland basins is well understood, the subsidence pattern of passive margins near convergence zones—where thrust loading overprints earlier extension and the typical wedge and foredeep are obscured—remains poorly understood.
Penggao Fang, Weiwei Ding, Zhibing Feng, Zhongxian Zhao   +3 more
wiley   +1 more source

Gas Breakthrough Pressure (GBP) through Claystones: Correlation with FIB/SEM Imaging of the Pore Volume

Oil & Gas Science and Technology, 2016
This contribution uses six claystone samples imaged by FIB/SEM (Focused Ion Beam/Scanning Electron Microscopy), within micrometric volumes located in the clay matrix; their 3D connected pore network is identified down to 17-22 nm pore size.
Song Yang, Davy Catherine A., Troadec David   +2 more
doaj   +1 more source

Application of Multivariate Statistical Methods and Artificial Neural Network for Facies Analysis from Well Logs Data: An Example of Miocene Deposits

Energies, 2020
The main purpose of the study is a detailed interpretation of the facies and relate these to the results of standard well logs interpretation. Different methods were used: firstly, multivariate statistical methods, like principal components analysis ...
Edyta Puskarczyk
doaj   +1 more source