An effective method to predict porosity using GA-WNN hybrid algorithm-Reference-Cited by-同舟云学术

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An effective method to predict porosity using GA-WNN hybrid algorithm

Published:2017-05-31 Issue: Volume: Page:
ISSN:
Container-title:International Geophysical Conference, Qingdao, China, 17-20 April 2017
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Author:

Zhong Han¹,Liu Yang¹,Zhou Lekai¹,Liu Jinpeng²

Affiliation:

1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, and CNPC Key Laboratory of Geophysical Prospecting, China University of Petroleum, Beijing

2. School of Geology Engineering and Geomatics, Chanǵ an University, Xí an

Publisher

Society of Exploration Geophysicists and Chinese Petroleum Society

Reference7 articles.

1. Al-Mudhafer, W. J., and A. Isawi, 2015, Multivariate multiple linear regression for jointly modeling of petrophysical properties: 77th Annual Conference and Exhibition, EAGE, Extended Abstracts, SP1–3.

2. Dumitrescu, C. C., and L. Lines, 2008, Seismic attributes used for reservoir experiment-application to a heavy oil reservoir in Canada: 78th Annual Conference and Exhibition, SEG, Technical Program Expanded Abstracts, 1471–1475.

3. Using multi-attribute transforms to predict log properties from seismic data

4. Parra, J. O., J. S. Parra, J. L. Jiménez-Andrade, and H. Carrillo-Calvet, 2015, Self-organizing maps with cokriging porosity applied to sand-shale reservoirs using seismic: 85th Annual Conference and Exhibition, SEG, Technical Program Expanded Abstracts, 1946–1950.

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