Prediction of Poisson's Ratio from Conventional Well Log Data: A Committee Machine with Intelligent Systems Approach-Reference-Cited by-同舟云学术

Prediction of Poisson's Ratio from Conventional Well Log Data: A Committee Machine with Intelligent Systems Approach

Published:2013-05-15 Issue:10 Volume:35 Page:962-975
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Asoodeh M.

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

http://www.tandfonline.com/doi/pdf/10.1080/15567036.2011.557693

Reference17 articles.

1. Abdulraheem, A., Ahmed, M., Vantala, A. and Parvez, T. Prediction of rock mechanical parameters for hydrocarbon reservoirs using different artificial intelligence techniques. SPE Paper 126094. SPE Saudi Arabia Section Technical Symposium and Exhibition. May9–11, Alkhobar, Saudi Arabia.

2. Fuzzy Model Identification Based on Cluster Estimation

3. Cuddy, S. J. Litho-facies and permeability prediction from electrical logs using fuzzy logic. Eighth Abu Dhabi International Petroleum Exhibition and Conference. November11–14, Abu Dhabi, UAE. pp.1–12. SPE Paper 65411 (49470)

4. Factors controlling elastic properties in carbonate sediments and rocks

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