ERL Industry Consortia Technical Reports: Recent submissions
Now showing items 103-105 of 456
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Seismic Facies Classification And Identification By Competitive Neural Networks
(Massachusetts Institute of Technology. Earth Resources Laboratory, 2000)We present an approach based on competitive networks for the classification and identification of reservoir facies from seismic data. This approach can be adapted to perform either classification of the seismic facies based ... -
Application Of Smooth Neural Networks For Inter-Well Estimation Of Porosity From Seismic Data
(Massachusetts Institute of Technology. Earth Resources Laboratory, 2000)We apply an approach based on smooth neural networks to a 3D seismic survey in the Shedgum area of the Ghawar Field to estimate the reservoir porosity distribution of the Arab-D Member. We conducted numerous systematic ... -
Estimation Of Reservoir Properties From Seismic Data By Smooth Neural Networks
(Massachusetts Institute of Technology. Earth Resources Laboratory, 2000)Traditional joint inversion methods reqnire an a priori prescribed operator that links the reservoir properties to the observed seismic response. The methods also rely on a linearized approach to the solution that makes ...
