[HTML][HTML] Current state and future directions for deep learning based automatic seismic fault interpretation: A systematic review
Automated seismic fault interpretation has been an active area of research. Since 2018,
Deep learning (DL) based seismic fault interpretation methods have emerged and shown …
Deep learning (DL) based seismic fault interpretation methods have emerged and shown …
Geometry and Kinematics of strike-slip faults in the Dibrugarh field of the Upper Assam foreland basin, NE India
Sedimentary basins within fold-and-thrust belts preserve the structural record of complex
deformations and are essential to many orogenic systems worldwide. One of the component …
deformations and are essential to many orogenic systems worldwide. One of the component …
Geomorphological characterization of basal flow markers during recurrent mass movement: A case study from the Taranaki Basin, offshore New Zealand
This work examines the mode of basal to substrate interaction, and flow dynamics of
recurrent mass wasting events from a high‐quality 3D seismic reflection data. The Taranaki …
recurrent mass wasting events from a high‐quality 3D seismic reflection data. The Taranaki …
Submarine canyon systems focusing sub-surface fluid in the Canterbury Basin, South Island, New Zealand
This work uses a high-quality 3D seismic volume from offshore Canterbury Basin, New
Zealand, to investigate how submarine canyon systems can focus sub-surface fluid. The …
Zealand, to investigate how submarine canyon systems can focus sub-surface fluid. The …
A machine learning tool for interpretation of Mass Transport Deposits from seismic data
Abstract Machine learning is a tool that allows machines or intelligent systems to learn and
get equipped to solve complex problems in predicting reliable outcome. The learning …
get equipped to solve complex problems in predicting reliable outcome. The learning …
[HTML][HTML] Subsurface fluid flow: A case study from the Indo-Gangetic peripheral foreland basin
Subsurface fluid flow involves migration of fluids from source to surface through a wide
range of geologic structures, and thus plays a crucial role in unlocking potential hydrocarbon …
range of geologic structures, and thus plays a crucial role in unlocking potential hydrocarbon …
Forced folding in the Kora Volcanic Complex, New Zealand: A case study with relevance to the production of hydrocarbons and geothermal energy
The intrusion of magma into relatively shallow strata often results in structural deformation.
Forced folds are typically formed above intrusions so as to accommodate the addition of new …
Forced folds are typically formed above intrusions so as to accommodate the addition of new …
Unsupervised machine learning models applied to basement faults: An example from the Dibrugarh region, NE India
Accurately characterizing the basement faults, including their patterns and movements,
holds paramount importance for engineers and seismologists in designing foundations, and …
holds paramount importance for engineers and seismologists in designing foundations, and …
Multiple point geostatistical simulation with adaptive filter derived from neural network for sedimentary facies classification
F Han, H Zhang, J Rui, K Wei, D Zhang… - Marine and Petroleum …, 2020 - Elsevier
Sedimentary facies distribution is a vital reference for oil and gas exploration in an offshore
area. One of remaining questions in a marine exploration area is to acquire an accurate …
area. One of remaining questions in a marine exploration area is to acquire an accurate …
[HTML][HTML] Machine learning elucidates the anatomy of buried carbonate reef from seismic reflection data
A carbonate build-up or reef is a thick carbonate deposit consisting of mainly skeletal
remains of organisms that can be large enough to develop a favourable topography …
remains of organisms that can be large enough to develop a favourable topography …