- Matthews C.S., Russell D.G. (1967) Pressure buildup and flow tests in wells, Vol. 1, Henry L. Doherty Memorial Fund of AIME. [Google Scholar]
- Sabet M.A. (1991) Well test analysis, Vol. 8, Gulf Professional Publishing. [Google Scholar]
- Lee J. (1982) Well testing, Society of Petroleum Engineers. [Google Scholar]
- Earlougher R.C. (1977) Advances in well test analysis, Vol. 5, Henry L. Doherty Memorial Fund of AIME, New York. [Google Scholar]
- Horne R.N. (1995) Modern well test analysis, Petroway Inc., 1141 p. [Google Scholar]
- Kucuk F., Karakas M., Ayestaran L. (1986) Well testing and analysis techniques for layered reservoirs, SPE Form. Eval. 1, 4, 342–354. [Google Scholar]
- Dastjerdi A.M., Farab A.E., Sharifi M. (2019) Possible pitfalls in pressure transient analysis: Effect of adjacent wells, J. Petrol. Explor. Prod. Technol. 9, 4, 3023–3038. [Google Scholar]
- Ahmed T., McKinney P. (2011) Advanced reservoir engineering, Elsevier Science. [Google Scholar]
- Jonoud S., Wennberg O.P., Larsen A., Casini G. (2013) Capturing the effect of fracture heterogeneity on multiphase flow during fluid injection, SPE Reserv. Evalu. Eng. 16, 2, 194–208. [Google Scholar]
- Ho Z., Engel D.W., Lin G., Fang Y., Fang Z. (2013) An uncertainty quantification framework for studying the effect of spatial heterogeneity in reservoir permeability on CO2 sequestration, Math. Geosci. 45, 7, 799–817. [Google Scholar]
- Lake L.W., Jensen J.L. (1991) A review of heterogeneity measures used in reservoir characterization, In Situ 15, 4, 409–440. [Google Scholar]
- Ganjeh-Ghazvini M., Masihi M., Baghalha M. (2015) Study of heterogeneity loss in upscaling of geological maps by introducing a cluster-based heterogeneity number, Physica A 436, 1–13. [Google Scholar]
- Molnar D.L., Aminian K., Ameri S. (1994) The use of well log data for estimating permeability in a heterogeneous reservoir, Society of Petroleum Engineers. [Google Scholar]
- Arya A., Hewett T., Larson R., Lake L. (1988) Dispersion and reservoir heterogeneity, SPE Reserv. Eng. 3, 1, 139–148. [Google Scholar]
- Green D.W., Willhite G.P. (1998) Enhanced oil recovery, Henry L. Doherty Memorial Fund of AIME, Society of Petroleum Engineers, Richardson, TX, pp. 143–154. [Google Scholar]
- Chen C., Balhoff M.T., Mohanty K.K. (2014) Effect of reservoir heterogeneity on primary recovery and CO2 huff ‘n’ puff recovery in shale-oil reservoirs, Soc. Pet. Eng. 17, 3, 404–413. [Google Scholar]
- Yang F., Bai B., Dunn-Norman S. (2011) Modeling the effects of completion techniques and formation heterogeneity on CO 2 sequestration in shallow and deep saline aquifers, Environ. Earth Sci. 64, 3, 841–849. [Google Scholar]
- Shook G.M., Mitchell K.M. (2009) A robust measure of heterogeneity for ranking earth models: The F-PHI curve and dynamic Lorenz coefficient, in: SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, New York. [Google Scholar]
- Rashid B., Bal A.L., Williams G.J.J., Muggeridge A.H. (2012) Using vorticity to quantify the relative importance of heterogeneity, viscosity ratio, gravity and diffusion on oil recovery, Comput. Geosci. 16, 2, 409–422. [Google Scholar]
- Gautier Y., Noetinger B. (2004) Geostatistical parameters estimation using well test data, Oil Gas Science and Technology – Rev. IFP Energies nouvelles 59, 2, 167–183. [Google Scholar]
- Noetinger B., Gautier Y. (1998) Use of the Fourier-Laplace transform and of diagrammatical methods to interpret pumping tests in heterogeneous reservoirs, Adv. Water Resour. 21, 7, 581–590. [Google Scholar]
- Benzagouta M.S. (2013) Investigation on the impact of rock physical properties on permeability variation: case study for the reservoir heterogeneity development, Nafta 64, 2, 122–129. [Google Scholar]
- Hardy H.H., Beier R.A. (1994) Fractals in reservoir engineering, World Scientific Technology & Engineering. [CrossRef] [Google Scholar]
- Sagar R.K., Kelkar M.G., Thompson L.G. (1995) Reservoir description by integration of well test data and spatial statistics, SPE Form. Eval. 10, 4, 267–274. [Google Scholar]
- Sureshjani M.H., Ahmadi M., Fahimpour J. (2019) A generalized approach for fast estimation of reservoir permeability distribution from analysis of pressure transient data, J. Petrol. Sci. Eng. 182, 106240. [Google Scholar]
- Masihi M., Gago P.A., King P.R. (2016) Estimation of the effective permeability of heterogeneous porous media by using percolation concepts, Transp. Porous Media 114, 1, 169–199. [Google Scholar]
- Matheron G. (1967) Eléments pour une théorie des milieux poreux, Masson, Paris. [Google Scholar]
- Cardwell W.T., Parsons R.L. (1945) Average permeabilities of heterogeneous oil sands, Trans. AIME 160, 1, 34–42. [Google Scholar]
- Dagan G. (1989) Flow and transport in porous formations, Springer-Verlag, Berlin and New York. [Google Scholar]
- Renard P., De Marsily G. (1997) Calculating equivalent permeability, Adv. Water Resour. 20, 6, 253–278. [Google Scholar]
- Noetinger B. (1994) The effective permeability of a heterogeneous porous medium, Transp. Porous Media 15, 2, 99–127. [Google Scholar]
- Colecchio I., Boschan A., Otero A.D., Noetinger B. (2020) On the multiscale characterization of effective hydraulic conductivity in random heterogeneous media: a historical survey and some new perspectives, Adv. Water Resour. 140, 103594. [Google Scholar]
- King P.R., Masihi M. (2018) Percolation theory in reservoir engineering, World Scientific. [Google Scholar]
- Stauffer D., Aharony A. (2018) Introduction to percolation theory, CRC Press. [Google Scholar]
- de Gennes P.G. (1976) La percolation: Un concept unificateur, La Recherche 7, 72, 919–927. [Google Scholar]
- Stauffer D., Aharony A. (1992) Introduction to percolation theory, Vol. 96, Taylor & Francis. [Google Scholar]
- Sahimi M. (1994) Applications of percolation theory, CRC Press. [Google Scholar]
- Hunt A., Ewing R., Ghanbarian B. (2014) Percolation theory for flow in porous media, Vol. 880, Springer. [CrossRef] [MathSciNet] [Google Scholar]
- Gong J., Rossen W.R. (2017) Modeling flow in naturally fractured reservoirs: effect of fracture aperture distribution on dominant sub-network for flow, Petrol. Sci. 14, 1, 138–154. [Google Scholar]
- Berkowitz B. (1995) Analysis of fracture network connectivity using percolation theory, Math. Geol. 27, 4, 467–483. [Google Scholar]
- King P.R. (1990) The connectivity and conductivity of overlapping sand bodies, North Sea Oil and Gas Reservoirs—II, 353–362. [Google Scholar]
- Lee S.B., Torquato S. (1990) Monte Carlo study of correlated continuum percolation: Universality and percolation thresholds, Phys. Rev. A 41, 10, 5338–5344. [CrossRef] [PubMed] [Google Scholar]
- Prakash S., Havlin S., Schwartz M., Stanley H.E. (1992) Structural and dynamical properties of long-range correlated percolation, Phys. Rev. A 46, 4. [Google Scholar]
- Wilkinson D., Willemsen J.F. (1983) Invasion percolation: a new form of percolation theory, J. Phys. A Math. Gen. 16, 16, 3365–3376. [Google Scholar]
- Sadeghnejad S., Masihi M., Pishvaie M., King P.R. (2013) Rock type connectivity estimation using percolation theory, Math. Geosci. 45, 3, 321–340. [Google Scholar]
- Romeu R.K., Noetinger B. (1995) Calculation of internodal transmissivities in finite difference models of flow in heterogeneous porous media, Water Resour. Res. 31, 4, 943–959. [Google Scholar]
- Boschan A., Nœtinger B. (2012) Scale dependence of effective hydraulic conductivity distributions in 3D heterogeneous media: a numerical study, Transp. Porous Media 94, 1, 101–121. [Google Scholar]
- Odeh A.S. (1981) Comparison of solutions to a three-dimensional black-oil reservoir simulation problem, Soc. Petrol. Eng. 33, 1, 13–25. [Google Scholar]
Open Access
Issue |
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 76, 2021
|
|
---|---|---|
Article Number | 15 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.2516/ogst/2020092 | |
Published online | 09 February 2021 |
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