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Application of seismic attributes and unsupervised machine learning methods for identification of hidden faults in basement and carbonate rocks
(2023-12-15)
Seismic fault interpretation is a critical task for any type of energy industry and correct fault mapping can be crucial for the success of a project. Common geometric seismic attributes such as coherence and curvature are ...
Seismic-based characterization of a carbonate gas storage reservoir assisted by machine learning techniques
(2021)
Silurian pinnacle reefs found within the Michigan Basin were prolific hydrocarbon producers in the mid-to-late twentieth century. During production, studies over these complex reservoirs were primarily focused on facies ...
Examining Seismic Amplitude Responses of Gaseous Media Using Unsupervised Machine Learning
(2020-12-18)
The presence of gas in the rock’s or sediment’s pore space significantly affects its seismic amplitude response and modifies its subsurface signature. Gas hydrates in the subsurface are often difficult to image with ...