Real-time prediction of pore pressure gradient through an artificial intelligence approach: a case study from one of middle east oil fields-Reference-Cited by-同舟云学术

Real-time prediction of pore pressure gradient through an artificial intelligence approach: a case study from one of middle east oil fields

Published:2013-09 Issue:8 Volume:17 Page:675-686
ISSN:1964-8189
Container-title:European Journal of Environmental and Civil Engineering
language:en
Short-container-title:European Journal of Environmental and Civil Engineering

Author:

Keshavarzi R.,Jahanbakhshi R.

Publisher

Informa UK Limited

Subject

Civil and Structural Engineering,Environmental Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/19648189.2013.811614

Reference28 articles.

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2. Ali, J. K. (1994).Neural networks: A new tool for the petroleum industry?Paper SPE 27561 presented at European Petroleum Computer Conference held in Aberdeen, UK, March 15–17. doi:10.2118/27561

3. Centilmen, A., Ertekin, T. & Grader, A. S. (1999).Applications of neural-networks in multi-well field development. SPE 56624. Presented at SPE Annual Technical Conference and Exhibition, Houston, Texas, October. doi:10.2118/56624

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