A novel empirical correlation for waterflooding performance prediction in stratified reservoirs using artificial intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-05158-1.pdf
Reference50 articles.
1. Yasari E, Pishvaie MR, Khorasheh F et al (2013) Application of multi-criterion robust optimization in water-flooding of oil reservoir. J Pet Sci Eng 109:1–11. https://doi.org/10.1016/j.petrol.2013.07.008
2. Stiles WE (1949) Use of permeability distribution in water flood calculations. J Pet Technol 1:9–13. https://doi.org/10.2118/949009-G
3. Dykstra H, Parsons RL (1950) The prediction of oil recovery by waterflooding in secondary recovery of oil in the United States. API, Washingt, DC
4. de Souza A, Brigham W (1995) A study of Dykstra–Parsons curves. Pittsburgh, PA, and Morgantown, WV
5. El-Khatib N (1985) The effect of crossflow on waterflooding of stratified reservoirs (includes associated papers 14490 and 14692 and 15043 and 15191). Soc Pet Eng J 25:291–302. https://doi.org/10.2118/11495-PA
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