Novel fracture zone identifier attribute using geophysical and well log data for unconventional reservoirs
Author:
Affiliation:
1. Gas Technology Institute, Des Plaines, Illinois, USA..
2. University of Southern California, Los Angeles, California, USA..
Abstract
Publisher
Society of Exploration Geophysicists
Subject
Geology,Geophysics
Link
https://library.seg.org/doi/pdf/10.1190/INT-2015-0003.1
Reference38 articles.
1. Aminzadeh, F., 2003, Meta attributes: A new concept for reservoir characterization and seismic anomaly detection: Presented at 53rd Gulf Coast Association of Geological Societies Annual Convention.
2. Aminzadeh, F., 2005, A new concept for seismic anomaly detection: Presented at OTC, SPE.
3. Aminzadeh, F., and F. Brouwer, 2006, Integrating neural networks and fuzzy logic for improved reservoir property prediction and prospect ranking: 76th Annual International Meeting, SEG, Expanded Abstracts, 1752–1756.
4. Applications of clustering in exploration seismology
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