An Advanced Well Log and an Effective Methodology to Evaluate Water Saturation of the Organic-Rich Cambay Shale

Author:

De SanjuktaORCID,Sengupta Debashish

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Reference40 articles.

1. Adebayo, A. R., Abdulraheem, A., & Olatunji, S. O. (2015). Artificial intelligence based estimation of water saturation in complex reservoir systems. Journal of Porous Media, 18(9), 893–906.

2. Al-Bulushi, N., Araujo, M., Kraaijveld, M., & Jing, X. D. (2007, January). Predicting water saturation using artificial neural networks (ANNS). In SPWLA Middle East Regional Symposium. Society of Petrophysicists and Well-Log Analysts.

3. Alfosail, K. A., & Alkaabi, A. U. (1997). Water saturation in shaly formation. In Proceedings of the Middle East Oil Show (Vol. 1, pp. 555–563). Society of Petroleum Engineers (SPE). https://doi.org/10.2118/37746-ms.

4. Archie, G. E. (1942). The electrical resistivity log as an aid in determining some reservoir characteristics. Transactions of the AIME, 146(01), 54–62.

5. Berg, C. R. (1996). Effective-medium resistivity models for calculating water saturation in shaly sands. The Log Analyst, 37(3), 16–28.

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