Predicting Log Data by Using Artificial Neural Networks to Approximate Petrophysical Parameters of Formation-Reference-Cited by-同舟云学术

Predicting Log Data by Using Artificial Neural Networks to Approximate Petrophysical Parameters of Formation

Published:2013-06-15 Issue:12 Volume:31 Page:1238-1248
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Baneshi M.,Behzadijo M.,Schaffie M.,Nezamabadi-Pour H.

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

http://www.tandfonline.com/doi/pdf/10.1080/10916466.2010.540611

Reference11 articles.

1. Basic well log analysis

2. Baneshi, M., Schaffie, M., Nezamabadi-Pour, H. and Behzadijo, M. Designing the best artificial neural network to prediction porosity index. National Conference of Energy and Environment. Kerman, Iran.

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