Gas detection from absorption attributes and amplitude versus offset with artificial neural networks in Grand Bay Field-Reference-Cited by-同舟云学术

Gas detection from absorption attributes and amplitude versus offset with artificial neural networks in Grand Bay Field

Published:2011-01 Issue: Volume: Page:
ISSN:
Container-title:SEG Technical Program Expanded Abstracts 2011
language:
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Author:

Clifford Andy¹,Aminzadeh Fred²

Affiliation:

1. Saratoga Resources

2. University of Southern California.

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/1.3627988

Reference4 articles.

1. Integrating neural networks and fuzzy logic for improved reservoir property prediction and prospect ranking

2. Clifford, A. C., and E. Goodman, 2010, Southeast Louisiana shallow gas — 1: Louisiana Lagniappe: Shallow gas play concept, evaluation techniques, analogs: Oil & Gas Journal, December, 6.

3. —, 2011, Southeast Louisiana shallow gas — 2 Conclusion: Louisiana Lagniappe: Case study from Grand Bay gas prospects: Oil & Gas Journal, January, 3.

4. From seismic character and seismic attributes to reservoir properties: Case history in Arab‐D reservoir of Saudi Arabia

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