Applications of statistical physics to the oil industry: predicting oil recovery using percolation theory
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DOI: 10.1016/S0378-4371(99)00327-1
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References listed on IDEAS
- N/A, 1996. "Statistical Appendix," National Institute Economic Review, National Institute of Economic and Social Research, vol. 155(1), pages 110-119, February.
- N/A, 1996. "Statistical Appendix," National Institute Economic Review, National Institute of Economic and Social Research, vol. 156(1), pages 115-124, May.
- N/A, 1996. "Statistical Appendix," National Institute Economic Review, National Institute of Economic and Social Research, vol. 157(1), pages 107-116, July.
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Cited by:
- Manwart, C. & Hilfer, R., 2002. "Numerical simulation of creeping fluid flow in reconstruction models of porous media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 706-713.
- Ganjeh-Ghazvini, Mostafa & Masihi, Mohsen & Ghaedi, Mojtaba, 2014. "Random walk–percolation-based modeling of two-phase flow in porous media: Breakthrough time and net to gross ratio estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 214-221.
- Stanley, H.Eugene & Andrade, José S, 2001. "Physics of the cigarette filter: fluid flow through structures with randomly-placed obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(1), pages 17-30.
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