Framing bias: The effect of figure presentation on seismic interpretation [PDF]
, 2017 Interpreters of reflection seismic data generally use images to disseminate the outcomes of their geologic interpretation work. The presentation of such interpretation images can generate unwanted biases in the perception of the observers, an effect ...
J. Alcalde, C. Bond, Charles H. Randle
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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
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Frontiers in Earth Science, 2023 The purpose of this research is to delineate the structures of the Lower Goru Formation, investigate fluid properties, and clarify the hydrocarbon-prone areas through seismic attributes analysis. First, the acquired data was matched by the interpretation
Fode Tounkara +8 more
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Geofluids, 2021 In the study of sequence stratigraphy in continental rift basins, the use of seismic data to track different levels of sequence stratigraphic boundaries laterally is the key to the division of sequence stratigraphic units at all levels and the ...
Xiaowei Guan +4 more
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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
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Defining the 3D geometry of thin shale units in the Sleipner reservoir using seismic attributes [PDF]
, 2016 Acknowledgments The seismic interpretation and image processing was carried out in the SeisLab facility at the University of Aberdeen (sponsored by BG BP and Chevron).
Bitrus, Ponfa Roy +2 more
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Understanding the Effect of Different Prior Knowledge on CNN Fault Interpreter
IEEE Access, 2023 As deep learning (DL) models have been successfully applied to various image processing tasks, DL models, particularly convolutional neural networks (CNN), have been introduced into the geosciences to assist geologists in faster seismic interpretation ...
Yu An, Ruihai Dong
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The role of visual saliency in the automation of seismic interpretation [PDF]
arXiv.org, 2018 In this paper, we propose a workflow based on SalSi for the detection and delineation of geological structures such as salt domes. SalSi is a seismic attribute designed based on the modelling of human visual system that detects the salient features and ...
M. Shafiq +3 more
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Stratigraphic Overview of Palaeogene Tuffs in the Faroe-Shetland Basin, NE Atlantic Margin [PDF]
, 2017 Acknowledgements We are very grateful to PGS for generously donating seismic datasets. Seismic interpretation was carried out using IHS Kingdom software, and wells were downloaded from the UK Oil & Gas Common Data Access Welllog interpretation was ...
Archer, Stuart +7 more
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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
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