Evaporite-Distribution Typing from Resistivity Images and Openhole Logs in a Middle Eastern Reservoir
- Marina Hruška (Chevron Energy Technology Company) | Steven Bachtel (Chevron Energy Technology Company) | Bonny Archuleta (Chevron Energy Technology Company) | Mark Skalinski (Chevron Energy Technology Company)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- December 2012
- Document Type
- Journal Paper
- 636 - 647
- 2012. Society of Petroleum Engineers
- 1.14 Casing and Cementing, 4.3.4 Scale, 1.6.9 Coring, Fishing
- 2 in the last 30 days
- 426 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 10.00|
|SPE Non-Member Price:||USD 30.00|
In this integrated study using resistivity images, conventional openhole logs, and core data from a Middle Eastern reservoir, abundance and geometric configuration of bedded and nodular evaporite have been studied to help distinguish which nodular forms of evaporite may be related to a permeability suppression. Several logs have been calculated from the resistivity image log to quantify nodular evaporite and help predict the presence of corresponding core facies well. Compared with thin-section description, most samples of nodular evaporite were exhibiting fine-scale cementation as well, and their permeability was suppressed compared with samples with rare or no fine-scale cementation in thin sections.
|File Size||2 MB||Number of Pages||12|
Ameen, M.S, Buhidma, I.M., and Rahim, Z. 2010. The Function of Fractures andIn-Situ Stresses in the Khuff Reservoir Performance, Onshore Fields, SaudiArabia. AAPG Bull 94 (1): 27-60. http://dx.doi.org/10.1306/06160909012.
Delhomme, J.P. 1992. A Quantitative Characterization of FormationHeterogeneities Based on Borehole Image Analysis. Paper 1992-T presented atSociety of Petrophysicists and Well-Log Analysts 33rd Annual Logging Symposium,14-17 June 1992, Oklahoma City, Oklahoma.
Doveton, J.H. 1994. Geologic Log Interpretation: Reading the Rocks fromWireline Logs, SEPM Short Course No. 29. Tulsa, Oklahoma: Society ofSedimentary Geology.
Hruška, M., Corea, W., Seeburger, D., et al. 2009. Automated Segmentation ofResistivity Image Logs Using Wavelet Transform. Mathematical Geosciences 41 (6): 703-716. http://dx.doi.org/10.1007/s11004-009-9236-2.
Hurley, N.F, Zimmerman, R.A., and Pantoja, D. 1998. Quantification of VuggyPorosity in a Dolomite Reservoir from Borehole Images and Core, Dagger DrawField, New Mexico. Paper SPE 49323 presented at SPE Annual Technical Conferenceand Exhibition, New Orleans, Louisiana, 27-30 September. http://dx.doi.org/10.2118/49323-MS.
Iqbal, A, Smith, J., Zahedi A. R, et al. 2009. Characterization of ComplexCarbonate Heavy Oil Reservoir - A Case Study. Paper SPE 120423 presented at SPEMiddle East Oil and Gas Show and Conference, Bahrain, Bahrain, 15-18 March. http://dx.doi.org/10.2118/120423-MS.
Kennedy, B.A. ed. 1990. Surface Mining. Baltimore, Maryland: PortCity Press.
Lucia, F.J. 2007. Carbonate Reservoir Characterization: An IntegratedApproach, second edition. Berlin, Germany: Springer-Verlag.
Lucia, F.J. and Kane, J.A. 2004. Calculations of Permeability and InitialWater Saturations from Wireline Logs. In Multidisciplinary Imaging of RockProperties in Carbonate Reservoirs for Flow-Unit Targeting, ed. S.C. Rupel,189-218. Univ. Texas at Austin, Bureau of Economic Geology, report prepared forU.S. Department of Energy under contract No. DE-FC26-01BC15351.
Lindsay, R. F., Cantrell, D. L., Hughes, G. W., et al. 2006. Ghawar Arab-DReservoir: Widespread Porosity in Shoaling-Upward Carbonate Cycles, SaudiArabia. In Giant Hydrocarbon Reservoirs of the World: From Rocks toReservoir Characterization and Modeling. AAPG Memoir 88, ed. P. M. Harrisand L. J. Weber, Chapter 3, 97-137. Tulsa, Oklahoma: American Association ofPetroleum Geologists.
Meddaugh, W.S, Dull, D., Garber, D., et al. 2007. The Wafra First EoceneReservoir Partitioned Neutral Zone (PNZ), Saudi Arabia and Kuwait: Geology,Stratigraphy, and Static Modeling. Paper SPE 105087 presented at SPE MiddleEast Oil and Gas Show and Conference, Kingdom of Bahrain, 11-14 March. http://dx.doi.org/10.2118/105087-MS.
Pal, A., Seth, K., Guru, U., et al. 2007. Porosity Partitioning and FlowUnit Characterization From an Integration of Magnetic-Resonance andBorehole-Image Measurements. Paper SPE 105014 presented at SPE Middle East Oiland Gas Show and Conference, Kingdom of Bahrain, 11-14 March. http://dx.doi.org/10.2118/105014-MS.
Perrin, C., Rafiq Wani, M., Akbar, M., et al. 2007. Integration of BoreholeImage Log Enhances Conventional Electrofacies Analysis in Dual PorosityCarbonate Reservoirs. Paper IPTC 11622 presented at International PetroleumTechnology Conference, Dubai, U.A.E., 4-6 December. http://dx.doi.org/10.2523/11622-MS.
Pranter, M.J, Hurley, N.F. and Davis, T.L. 2004. Anhydrite DistributionWithin a Shelf-Margin Carbonate Reservoir: San Andres Formation, Vacuum Field,New Mexico, USA. Petroleum Geoscience 10 (1): 43-52. http://dx.doi.org/10.1144/1354-079302-547.
Ramamoorthy, R., Boyd, A., Neville, T. J., et al. 2008. A New Workflow ForPetrophysical and Textural Evaluation of Carbonate Reservoirs. Paper 2008-Bpresented at Society of Petrophysicists and Well-Log Analysts 49th AnnualLogging Symposium, Austin, Texas, 25-28 May.
Serra, G. 1986. Advanced Interpretation of Wireline Logs. Houston,Texas: Schlumberger Ltd.