Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool [PDF]
Sensors, 2021 Seismic interpretation is a fundamental process for hydrocarbon exploration. This activity comprises identifying geological information through the processing and analysis of seismic data represented by different attributes.
Alimed Celecia +8 more
doaj +2 more sources
Machine learning elucidates the anatomy of buried carbonate reef from seismic reflection data
Artificial Intelligence in Geosciences, 2023 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.
Priyadarshi Chinmoy Kumar +1 more
doaj +1 more source
Random noise attenuation via convolutional neural network in seismic datasets
Alexandria Engineering Journal, 2022 With the explosive growth in seismic data acquisition and the successful application of convolutional neural networks to various image processing tasks within multidisciplinary fields, many researchers have begun to research convolutional neural networks
Ruishan Du +4 more
doaj +1 more source
Generating Paired Seismic Training Data with Cycle-Consistent Adversarial Networks
Remote Sensing, 2023 Deep-learning-based seismic data interpretation has received extensive attention and focus in recent years. Research has shown that training data play a key role in the process of intelligent seismic interpretation.
Zheng Zhang +4 more
doaj +1 more source
Identification and Interpretation of fan deposits in Block H12 of Beixi subsag, Beier depression, Hailar basin [PDF]
E3S Web of Conferences, 2020 Fan deposits in the Nantun formation in Beier depression have been drilled in the past two decades. It’s difficult to identify and describe subtle traps formed by fans by seismic interpretation. By using a combination of seismic interpretation techniques
Yu-lin QI, Yue ZHOU
doaj +1 more source
Energies, 2020 A good understanding of different rock types and their distribution is critical to locate oil and gas accumulations in the subsurface. Traditionally, rock core samples are used to directly determine the exact rock facies and what geological environments ...
Nilesh Dixit +2 more
doaj +1 more source
Fault interpretation in seismic reflection data: an experiment analysing the impact of conceptual model anchoring and vertical exaggeration [PDF]
Solid Earth, 2019 The use of conceptual models is essential in the interpretation of reflection seismic data. It allows interpreters to make geological sense of seismic data, which carries inherent uncertainty.
J. Alcalde +7 more
doaj +1 more source
Recognition of small faults in coal fields based on multi-scale seismic curvature attributes fusion
Heliyon, 2023 In order to meet the needs of intelligent development of coal mines in China for transparency of geological conditions, identifying small faults with a drop of about 3 m has become one of the important geological tasks in structural interpretation ...
Lifeng Li, Yaping Huang, Xuemei Qi
doaj +1 more source
Increasing the quality of seismic interpretation [PDF]
, 2016 Acknowledgments E. Macrae was funded by an NERC Open CASE Ph.D. award (NE/F013728/1) with Midland Valley Exploration Ltd. as the industry partner. We thank 763 geoscientists for their participation, and in particular, the REs who gave their time freely ...
Bond, Clare E. +3 more
core +1 more source
Stratigraphic variations control deformation patterns in evaporite basins : Messinian examples, onshore and offshore Sicily (Italy) [PDF]
, 2014 Acknowledgements and Funding We are grateful to Ente Minerario Siciliano and Italkali for the provision of extensive subsurface data from Realmonte, Corvillo and Mandre areas. We thank F. Peel and an anonymous referee for comments.
Butler, Robert W. H. +3 more
core +1 more source