Abstract
Ground-penetrating radar (GPR) surveys, outcrop measurements, and cores provide a high-resolution 3D geologic model to investigate the hydraulic effects of shales in marine-influenced lower delta-plain distributary channel deposits within the Cretaceous-age Ferron Sandstone at Corbula Gulch in central Utah, USA. Shale statistics are computed from outcrop observations. Although slight anisotropy was observed in mean length and variogram ranges parallel and perpendicular to pale of low \((\overline L _ \bot \approx 1.2\overline L _ )\), the anisotropy is not statistically significant and the estimated mean length is 5.4 m. Truncated Gaussian simulation was used to create maps of shales that are placed on variably dipping stratigraphic surfaces interpreted from high-resolution 3D GPR surveys, outcrop interpretations, and boreholes. Sandstone permeability is estimated from radar responses calibrated to permeability measurements from core samples. Experimentally designed flow simulations examine the effects of variogram range, shale coverage fraction, and trends in shale coverage on predicted upscaled permeability, breakthrough time, and sweep efficiency. Approximately 1500 flow simulations examine three different geologic models, flow in the 3 coordinate directions, 16 geostatistical parameter combinations, and 10 realizations for each model. ANOVA and response models computed from the flow simulations demonstrate that shales decrease sweep, recovery, and permeability, especially in the vertical direction. The effect on horizontal flow is smaller. Flow predictions for ideal tracer displacements at Corbula Gulch are sensitive to shale-coverage fraction, but are relatively insensitive to twofold variations in variogram range or to vertical trends in shale coverage. Although the hydraulic effects of shale are statistically significant, the changes in flow responses rarely exceed 20%. As a result, it may be reasonable to use simple models when incorporating analogous shales into models of reservoirs or aquifers.
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REFERENCES
Armstrong, R. L., 1973, Sevier Orogenic belt in Nevada and Utah: Geol. Soc. Am. Bull., v. 79, p. 429–458.
Barton, M. D., 1994, Outcrop characterization of architecture and permeability structure in fluvialdeltaic sandstones within a sequence-stratigraphic framework, Cretaceous Ferron Sandstone, Utah: Unpublished PhD dissertation, The University of Texas at Austin, 260 p.
Begg, S. H., and King, P. R., 1985, Modelling the effects of shales on reservoir performance: Calculation of effective permeability: in 8th Society of Petroleum Engineers Symposium on Reservoir Simulation, Dallas, TX, Feb. 10-13, 1985, Paper SPE No. 13529.
Box, G. E. P., Hunter, W. G., and Hunter, J. S., 1978, Statistics for experimenters: Wiley, New York, 653 p.
Bu, T., and Damsleth, E., 1996, Error and uncertainties in reservoir performance predictions: SPE Formation Eval. v. 11, no. 3, p. 194–206.
Calhoun, T. G., and Tittle, R. M., 1968, Use of radioactive isotopes in gas injection, in 43rd Annual Fall Meeting of the Society of Petroleum Engineers, Houston, TX, 29 September-2 October, 1968, Paper No. SPE 2277.
Cardwell, W. T., and Parsons, R. L., 1945, Average permeability of heterogeneous oil sands: Trans. AIME, vol. 160, p. 34–42.
Corbeanu, R. M., 2001, Detailed internal architecture of ancient distributary channel reservoirs using ground-penetrating radar, outcrop and borehole data-case studies: Cretaceous Ferron Sandstone, Utah: Unpublished Ph.D. dissertation,: The University of Texas at Dallas, 122 p.
Desbarats, A. J., 1987, Numerical estimation of effective permeability in sand-shale formations: Water Resour. Res. v. 23, no. 2, p. 273–286.
Deutsch, C. V., 1997, Direct assessment of local accuracy and precision, inBaafi, E. Y., and Schofield, N. A., eds., Geostatistics Woolongong'96: Kluwer, Dordrecht, The Netherlands, p. 115–125.
Deutsch, C. V., and A. G. Journel, 1998, GSLIB Geostatistical library and user's guide: Oxford University Press, Oxford, United Kingdom, 369 p.
Eide, A. L., Holden, L., Reiso, E., and Aanonsen, S. I., 1994, Automatic history matching by use of response surfaces and experimental design, in 4th European Conference on the Mathematics of Oil Recovery, Roros, Norway, 7-10 June, 1994.
Gardner, M. H., 1995, Tectonic and eustatic controls on the stratal architecture of mid-Cretaceous stratigraphic sequences, central western interior foreland basin of North America, inDorobeck, S. L., and Ross, G. M., eds., Stratigraphic evolution of foreland basins: SEPM Special Publication No. 52, p. 243-281.
Geehan, G., and Underwood, J., 1993, The use of length distributions in geological modeling, inFlint, S. S., and Bryant, I. D., eds., The geological modelling of hydrocarbon reservoirs and outcrop analogues: Blackwell Scientific Publications, Oxford, p. 205–212. Special Publication 15 of the International Association of Sedimentologists.
Gómez-Hernández, J., and Journel, A. G., 1993, Joint sequential simulation of multi-Gaussian fields, inSoares, A., ed., Geostatistics-Troia: Kluwer, Dordrecht, The Netherlands, p. 85–94.
Haldorsen, H. H., and Lake, L. W., 1984, A new approach to shale management in field scale simulation models: Soc. Pet. Eng. J., August, v. 24, no. 4, p. 447–457.
Hammon, W. S., III, Zeng, X., Corbeanu, R. M., and McMechan, G. A., in press, Estimation of the spatial variability of fluid permeability from surface and borehole GPR data and cores, with a 2-D example from the Ferron Sandstone, Utah: Geophysics.
Jackson, M. D., and Muggeridge, A. H., 2000, Effects of discontinuous shales on reservoir performance during horizontal waterflooding: SPEJ, v. 5, no. 4, p. 446–455.
King, M. J., and Mansfield, M., 1999, Flow simulations of geologic models: Soc. Pet. Eng. Reserv. Eng. Eval., v. 2, no. 4, p. 351–367.
Kjønsvik, D., Jacobsen, T., and Jones, A., 1992, The effects of sedimentary heterogeneities on production from shallow marine reservoirs-what really matters? in1992 European Petroleum Conference, London, SPE Paper No. 28445.
Li, D., Beckner, B. and Kumar, A., 1999, A new efficient averaging technique for scaleup of multimillion-cell geologic models, in1999 SPE Annual Technical Conference and Exhibition held in Houston, Texas, 3-6 October 1999, SPE Paper No. 565554.
Matheron, G., Beucher, H., de Fouquet, C., and Galli, A., 1987, Conditional simulation of the geometry of fluvio-deltaic reservoirs, in 62nd Annual Technical Conference and Exhibition of the Society of Petroleum Engineers, Dallas, TX, 27-30 September 1987, SPE Paper No. 16753.
Myers, R. H., and Montgomery, D. C., 1995, Response surface methodology: Process and product optimization using designed experiments: Wiley, New York, 700 p.
Narayanan, K., 1999, Applications for response surfaces in reservoir engineering: MS Thesis, The University of Texas at Austin, 90 p.
Ponting, D. K., 1992, Corner point geometry in reservoir simulation, inKing, P. R., ed., Proceedings of First European Conference of the Mathematics of Oil Recovery, Cambridge, United Kingdom, p. 45-65.
R Core Team, 2000, The R Reference Index, Version 1.1.1: August 15, 2000, 789 p.
Rubin, B., and Blunt, M. J., 1991, Higher-order implicit flux limiting schemes for black oil simulation, in 1991, Society of Petroleum Engineers Symposium on Reservoir Simulation, Anaheim, California, 17-20 February 1991, SPE Paper No. 21222.
Ryer, T. A., 1983, Deltaic coals of the Ferron Sandstone Member of the Mancos Shale: Predictive model for Cretaceous coal-bearing strata of the Western Interior: Am. Assoc. Pet. Geol. Bull. v. 65, no. 11, p. 2323–2340.
Schlumberger Technology Co., 1997, Eclipse 100 97A Reference Manual: Oxfordshire, UK, 766 p.
Visser, C. A., and Chessa, A. G., 2000, A new method for estimating lengths for partially exposed features: Math. Geol., v. 32, no. 1, p. 109–126.
White, C. D., and Barton, M. D., 1999, Translating outcrop data to flow models, with applications to the Ferron Sandstone: Soc. Pet. Eng. Resvr. Eval. Eng., v. 2, no. 4, p. 341–350.
White, C. D., and Willis, B. J., 2000, A method to estimate length distributions from outcrop data: Math. Geol., v. 32, no. 4, pp. 389–419.
White, C. D., B. Willis, J., Dutton, S. P., and Narayanan, K., 2001, Identifying and estimating significant geologic parameters with experimental design: SPEJ, v. 6 no. 3, p. 311–324.
Willis B. J., Bhattacharya, J. P., Gabel, S. L., and White, C. D., 1999, Architecture of a tide-influenced delta in the Frontier Formation of central Wyoming: Sedimentology, v. 46, p. 667–688.
Willis, B. J., and C. D. White, 2000, Quantitative outcrop data for flow simulation: J. Sediment. Res., v. 70, p. 788–802.
Xu, X., 2000, Three-dimensional virtual geology: photorealistic outcrops, and their acquisition, visualization and analysis: Unpublished PhD Dissertation, The University of Texas at Dallas.
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Novakovic, D., White, C.D., Corbeanu, R.M. et al. Hydraulic Effects of Shales in Fluvial-Deltaic Deposits: Ground-Penetrating Radar, Outcrop Observations, Geostatistics, and Three-Dimensional Flow Modeling for the Ferron Sandstone, Utah. Mathematical Geology 34, 857–893 (2002). https://doi.org/10.1023/A:1020980711937
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DOI: https://doi.org/10.1023/A:1020980711937