[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 …
Seismic coherence for discontinuity interpretation
Seismic coherence is of the essence for seismic interpretation as it highlights seismic
discontinuity features caused by the deposition process, reservoir boundaries, tectonic …
discontinuity features caused by the deposition process, reservoir boundaries, tectonic …
Application of unconventional seismic attributes and unsupervised machine learning for the identification of fault and fracture network
The identification of small scale faults (SSFs) and fractures provides an improved
understanding of geologic structural features and can be exploited for future drilling …
understanding of geologic structural features and can be exploited for future drilling …
Gas channels and chimneys prediction using artificial neural networks and multi-seismic attributes, offshore West Nile Delta, Egypt
Abstract Machine learning techniques combined with multi-seismic attributes and well logs
datasets have been successfully used in reducing the risk of drilling operations and …
datasets have been successfully used in reducing the risk of drilling operations and …
Automatic seismic image segmentation by introducing a novel strategy in histogram of oriented gradients
E Hosseini-Fard, A Roshandel-Kahoo… - Journal of Petroleum …, 2022 - Elsevier
Automatic seismic image segmentation and further geological interpretation, requires
accurate detection of the target's boundary through applying image analysis techniques …
accurate detection of the target's boundary through applying image analysis techniques …
Improved reservoir characterization by means of supervised machine learning and model-based seismic impedance inversion in the Penobscot field, Scotian Basin
The present research work attempted to delineate and characterize the reservoir facies from
the Dawson Canyon Formation in the Penobscot field, Scotian Basin. An integrated study of …
the Dawson Canyon Formation in the Penobscot field, Scotian Basin. An integrated study of …
Attribute amalgamation-aiding interpretation of faults from seismic data: An example from Waitara 3D prospect in Taranaki basin off New Zealand
A suitable combination of seismic attributes amalgamated with interpreter's acquaintances
results into a meta-attribute that augments interpretation of geological discontinuities from …
results into a meta-attribute that augments interpretation of geological discontinuities from …
Detection of gas chimney and its linkage with deep-seated reservoir in poseidon, NW shelf, Australia from 3D seismic data using multi-attribute analysis and artificial …
Accurate delineation of hydrocarbon seepage has significant implications in accentuating
hydrocarbon migration pathways and assessing seal integrity thereby alleviating drilling …
hydrocarbon migration pathways and assessing seal integrity thereby alleviating drilling …
Fault enhancement in seismic images by introducing a novel strategy integrating attributes and image analysis techniques
J Mousavi, M Radad, M Soleimani Monfared… - Pure and Applied …, 2022 - Springer
In this study, a novel strategy is presented for fault enhancement in seismic images,
specifically in a time slice, through a combination of seismic attribute image reprocessing by …
specifically in a time slice, through a combination of seismic attribute image reprocessing by …
Automatic fault detection in seismic data using Gaussian process regression
Compartmentalization of hydrocarbon reservoirs, change in fluid contacts, effects of high
permeable fractures around faults, and hydrocarbon traps created by seal faults make fault …
permeable fractures around faults, and hydrocarbon traps created by seal faults make fault …