Application Of Smooth Neural Networks For Inter-Well Estimation Of Porosity From Seismic Data
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 cross-validation tests to assess the accuracy of the method and to compare it...
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| Format: | Technical Report |
| Published: |
Massachusetts Institute of Technology. Earth Resources Laboratory
2012
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| Online Access: | http://hdl.handle.net/1721.1/75458 |