A multiattribute analysis has been carried out on near-surface Pleistocene strata where the seismic data quality is very good. Relevant seismic attributes that have a proven application in the fluvial system were generated and analyzed. RGB color blend along with self-organizing maps were applied to reveal the depositional architecture of the interval. The extracted time slices were effectively characterized the depositional elements of the fluvial system.

Presentation Date: Wednesday, October 14, 2020

Session Start Time: 1:50 PM

Presentation Time: 3:05 PM

Location: Poster Station 10

Presentation Type: Poster

Keywords:
reservoir characterization, facies, upstream oil & gas, artificial intelligence, rgb color blending, machine learning, multiattribute analysis, time slice, color blending, instantaneous bandwidth
Subjects:
Reservoir Characterization, Information Management and Systems, Seismic processing and interpretation, Artificial intelligence
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2020. Society of Exploration Geophysicists
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