ogst
Home All issues Volume 69 / No 4 (July-August 2014) Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles, 69 4 (2014) 633-651 References
Dossier: Geosciences Numerical Methods
Open Access
Issue
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 69, Number 4, July-August 2014
Dossier: Geosciences Numerical Methods
Page(s) 633 - 651
DOI https://doi.org/10.2516/ogst/2013137
Published online 17 February 2014
  • Azarkish A., Khaghani E., Rezaeidoust A. (2006) Interpretation of Water Injection/Fall-off Test – Comparison Between Numerical and Levitan’s Analytical Model, Proceedings of SPE international Oil & Gas Conference and Exhibition, Beijing, China, 5-7 Dec., SPE Paper 101749-MS. DOI: 10.2118/101749-MS. [Google Scholar]
  • Aziz K., Settari A. (2002) Petroleum Reservoir Simulation, Blitzprint Ltd, Calgary, pp. 126–131 and p. 151, ISBN 0-9730614-0-5. [Google Scholar]
  • Banerjee R., Thompson L.G., Reynold A.C. (1998) Injection/Falloff Testing in Heterogeneous Reservoirs (revision), SPE Reserv. Eval. Eng. 1, 6, 519–517, SPE Paper -52670-PA. DOI: 10.2118/52670-PA. [CrossRef] [Google Scholar]
  • Bear J., Bachmat Y. (1990) Introduction to Modeling of Transport Phenomena in Porous Media, Kluver Academic Publishers, 16, ISBN-10: 079231106X. [Google Scholar]
  • Beretta E., Tiani A., Lo Presti G., Verga F. (2007) Value of Injection Testing as an Alternative of Conventional Well Testing: Field Experience in a Sour-Oil Reservoir, SPE Reserv. Eval. Eng. 10, 2, 112–121, SPE Paper 100283-PA. DOI: 10.2118/100283-PA. [Google Scholar]
  • Bourdet D. (2002) Well test analysis: the use of advanced interpretation models, Elsevier Science B.V., Amsterdam, ISBN-10: 0444509682. [Google Scholar]
  • Buckley S.E., Leverett M.C. (1941) Mechanism of Fluid Displacement in Sands. Petroleum Technology, Trans. AIME, 146, 1, 107–116, SPE Paper 942107-G. DOI: 10.2118/942107-G. [Google Scholar]
  • Chen Z., Huan G., Ma Y. (2006) Computational Methods for Multiphase Flow in Porous Media, SIAM, Philadelphia, 66, ISBN 0-89871-606-3. [Google Scholar]
  • Coelho A.C.D., de Carmargo C., Kato E.T., Legrand V.M.Q.F. (2005) Utilizing Mini - DST for Formation Evaluation, SPE Latin American and Caribbean Petroleum Engineering Conference, Rio de Janeiro, Brazil, June, SPE Paper 94963-MS. DOI: 10.2118/94963-MS. [Google Scholar]
  • El-Khazindar Y., Darwish M.R., Tengirsek A. (2002) Environmental Friendly Well Testing, SPE International Conference on Health, Safety & Environment in Oil and Gas Exploration and Production, Kuala Lumpur, Malaysia, 20-22 March, SPE Paper 74106. DOI: 10.2118/74106-MS. [Google Scholar]
  • Ertekin T., Abou-Kassem J.H., King G.R. (2001) Basic Applied Reservoir Simulation, Textbook Series, SPE: Richardson, Texas; 7: 78. ISBN 1-55563-089-8. [Google Scholar]
  • Forester C.K. (1977) Higher order monotonic convective difference schemes, J. Comput. Phys. 23, 1–22. DOI: http://dx.doi.org/10.1016/0021-9991(77)90084-5. [CrossRef] [Google Scholar]
  • Gunawan Gan R., Nai-Shyong Yeh, Bennett C.O. (2002) Application of Injection Tests for Reservoir appraisals: A Conceptual Study, SPE Annual Technical Conference and Exhibition, San Antonio, Texas, SPE Paper 77454-MS, DOI: 10.2118/77454-MS. [Google Scholar]
  • Han D.K., Han D.L., Yan C.Z., Peng L.T. (1987) A More Flexible Approach of Dynamic Local Grid Refinement for Reservoir Modeling, Ninth SPE Symposium on Reservoir Simulation, San Antonio, Texas, 1-4 Feb., SPE Paper 16014-MS, DOI: 10.2118/16014-MS. [Google Scholar]
  • Higham N.J. (1996) Accuracy and stability of numerical algorithms, SIAM, Philadelphia. ISBN-10: 0898715210. [Google Scholar]
  • Hollaender F., Filas J.G., Bennett C.O., Gringarten A.C. (2002) Use of Downhole Production/ Reinjection for Zero-Emission Well Testing: Challenges and Rewards, SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 29 Sept.-2 Oct., SPE Paper 77620. DOI: 10.2118/77620-MS. [Google Scholar]
  • Jensen O.K. (1980) An automatic timestep selection scheme for reservoir simulation, 55th SPE AIME Annual Fall Technical Conference and Exhibition, Dallas, Texas, 21-24 Sept., SPE Paper 9373-MS. DOI: 10.2118/94963-MS. [Google Scholar]
  • Lantz R.B. (1971) Quantitative evaluation of numerical diffusion (truncation error), SPE J. 11, 3, 315–320, SPE Paper 2811-PA. DOI: 10.2118/2811-PA. [Google Scholar]
  • Laumbach D.D. (1975) A high-accuracy finite difference technique for treating the convection-diffusion Equation, SPE J. 15, 6, 315–320, SPE Paper 3996. DOI: 10.2118/3996-PA. [Google Scholar]
  • Le Veque R.J. (1990) Numerical Methods for Conservation Laws, Lectures in Mathematics, Verlag, ETH Zürich. Birkhäuser, Basel, Germany, ISBN-10: 3764327235. [CrossRef] [Google Scholar]
  • Levitan M.M. (2002) Application of Water Injection/Falloff Tests for Reservoir Appraisal: New Analytical Solution Method for Two-Phase Variable Rate Problems, SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 29 Sept.-2 Oct., SPE Paper 77532-MS. DOI: 10.2118/77532-MS. [Google Scholar]
  • Peaceman D.W., Rachford Jr H.H. (1962) Numerical Calculation of Multidimensional Miscible Displacement, SPE J. 2, 4, 327–339, SPE Paper 471-PA. DOI: 10.2118/471-PA. [CrossRef] [Google Scholar]
  • Schlumberger (1998) Introduction to Well Testing, Schlumberger, Wireline & Testing, Phi Solutions, Bath, March 1998. [Google Scholar]
  • Settari A., Price H.S., Dupont T. (1977) Development and Application of Variational Methods for Simulation of Miscible Displacement in Porous Media, SPE J. 17, 3, 228–246, SPE Paper 5721-PA. DOI: 10.2118/5721-PA. [Google Scholar]
  • Sosa A., Raghavan R., Limon T.J. (1981) Effect of Relative Permeability and Mobility Ratio on Pressure Falloff Behavior, J. Petrol. Technol. 33, 6, 1125–1135, SPE Paper 9398-PA. DOI: 10.2118/9398-PA. [CrossRef] [Google Scholar]
  • Todd M.R., Longstaff W.J. (1972) The development, testing and application of a numerical simulator for predicting miscible flood performance, J. Petrol. Technol. 24, 7, 874–882, SPE Paper 3484-PA. DOI: 10.2118/3484-PA. [Google Scholar]
  • Todd M.R., O’Dell P.M., Hirasaki G.J. (1972) Methods for increased accuracy in numerical reservoir simulators, SPE J. 12, 6, 515–530, SPE Paper 3516-PA. DOI: 10.2118/3516-PA. [Google Scholar]
  • Van Leer B. (1977) Towards the Ultimate Conservative Difference Scheme IV. A New Approach to Numerical Convection, J. Comput. Phys. 23, 3, 276–299. DOI: http://dx.doi.org/10.1016/0021-9991(77)90095-X. [Google Scholar]
  • Verga F., Rocca V. (2010) Green methodologies to test hydrocarbon reservoirs, Am. J. Environ. Sci. 6, 1, 1–10. ISSN: 1553-345X, DOI: 10.3844/ajessp.2010.1.10. [CrossRef] [Google Scholar]
  • Verga F., Viberti D., Salina Borello E. (2011) A New Insight for Reliable Interpretation and Design of Injection Tests, J. Petrol. Sci. Eng. 78, 1, 166–177. DOI: http://dx.doi.org/10.1016/j.petrol.2011.05.002. [CrossRef] [Google Scholar]
  • Verga F., Viberti D., Serazio C. (2012) Estimation of skin components for a partially completed damaged well from injection tests, J. Petrol. Sci. Eng. 90-91, 165–174. ISSN: 0920-4105. DOI: 10.1016/j.petrol.2012.04.024 [CrossRef] [Google Scholar]
  • Woie R., Hegre T.M., Gravem T., Berger P.E. (2000) Downhole Production Testing, a Cost Effective, Safe and Environmentally Friendly Well Test Method, SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production, Stavanger, Norway, 26-28 June, SPE Paper 61183. DOI: 10.2118/61183-MS. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.