1887
Volume 21, Issue 4
  • ISSN: 1354-0793
  • E-ISSN:
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Abstract

Data from a large-scale outcrop analogue (Upper Cretaceous Blackhawk Formation, Wasatch Plateau, central Utah, USA) were used to construct three-dimensional, object-based reservoir models of low to moderate net-to-gross (NTG) ratios (11–32%). Two descriptive spatial statistical measures, lacunarity and Ripley’s function, were used to characterize sandbody distribution patterns in the different models. Lacunarity is sensitive to sandbody abundance and NTG ratio, while Ripley’s function identifies clustered, random and regular spacing of sandbodies. The object-based modelling algorithm reproduces sandbody dimensions and abundances, but patterns of sandbody distribution generated by river avulsion are poorly replicated because pseudo-well spacing provides only limited constraint on sandbody positions.

In common with previous studies, the connected sand fraction in the reservoir models increases with increasing NTG ratio and increasing range of sandbody orientations, but there is significant stochastic variation around both of these trends. In addition, low NTG reservoir models in which sandbodies exhibit strong clustering may also have a low connected sand fraction across the model volume because the sandbody clusters are widely spaced and, thus, tend to be isolated from each other. Consequently, connected sand fraction could be overestimated if avulsion-generated sandbody clusters are not identified and replicated in models of such reservoirs.

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References

  1. Adams, M.M. & Bhattacharya, J.P.
    2005. No change in fluvial style across a sequence boundary, Cretaceous Blackhawk and Castlegate Formations of central Utah, USA. Journal of Sedimentary Research, 75, 1038–1051.
    [Google Scholar]
  2. Ainsworth, R.B.
    2005. Sequence-stratigraphic-based analysis of reservoir connectivity: Influence of depositional architecture–A case study from a marginal marine depositional setting. Petroleum Geoscience, 11, 257–276, http://dx.doi.org/10.1144/1354-079304-638.
    [Google Scholar]
  3. Allain, C. & Cloitre, M.
    1991. Characterizing the lacunarity of random and deterministic fractal sets. Physical Review A, 44, 3552–3558.
    [Google Scholar]
  4. Allard, D.
    & HERESIM Group. 1993. On the connectivity of two random set models: The truncated Gaussian and the Boolean. In: Soares, A. (ed.) Geostatistics Troia ‘92, Volume. Kluwer Academic, Norwell, MA, 467–478.
    [Google Scholar]
  5. Allen, J.R.L.
    1978. Studies in fluviatile sedimentation: An exploratory quantitative model for the architecture of avulsion controlled alluvial suites. Sedimentary Geology, 21, 129–147.
    [Google Scholar]
  6. Balsley, J.K.
    1980. Cretaceous Wave-Dominated Delta Systems: Book Cliffs, East Central Utah. Oklahoma City Geological Society, Continuing Education Course Short Course. American Association of Petroleum Geologists, Tulsa, OK.
    [Google Scholar]
  7. Besag, J.E.
    1977. Comments on Ripley’s paper. Journal of the Royal Statistical Society, B39, 193–195.
    [Google Scholar]
  8. Bridge, J.S. & Leeder, M.R.
    1979. A simulation model of alluvial stratigraphy. Sedimentology, 26, 599–623.
    [Google Scholar]
  9. Bridge, J.S. & Tye, R.S.
    2000. Interpreting the dimensions of ancient fluvial channel bars, channels and channel belts from wireline logs and cores. American Association of Petroleum Geologists Bulletin, 84, 1205–1228.
    [Google Scholar]
  10. Clark, P.J. & Evans, F.C.
    1954. Distance to nearest neighbor as a measure of spatial relationships in populations. Ecology, 35, 445–453.
    [Google Scholar]
  11. Clemetsen, R., Hurst, A.R., Knarud, R. & Omre, K.H.
    1989. A computer program for evaluation of fluvial reservoirs. In: Buller, A.T., Berg, E., Hjelmeland, O., Kleppe, J., Torsæter, O. & Aasen, J.O. (eds) North Sea Oil and Gas Reservoirs II. Graham & Trotman, London, 373–385.
    [Google Scholar]
  12. Cojan, I., Fouche, O. & Lopez, S.
    2004. Process-based reservoir modelling in the example meandering channel. In: Leuangthong, O. & Deutsch, C. (eds) Geostatistics Banff 2004. Springer, Dordrecht, 611–619.
    [Google Scholar]
  13. Cressie, N.A.C.
    1993. Statistics for Spatial Data, revised edn.Wiley, New York.
    [Google Scholar]
  14. DeCelles, P.G. & Coogan, J.C.
    2006. Regional structure and kinematic history of the Sevier fold-and-thrust belt, central Utah. Geological Society of America Bulletin, 118, 841–864.
    [Google Scholar]
  15. Deutsch, C.V. & Tran, T.T.
    2002. FLUVSIM: A program for object-based stochastic modeling of fluvial depositional systems. Computers and Geosciences, 28, 525–535.
    [Google Scholar]
  16. Donselaar, M.E. & Overeem, I.
    2008. Connectivity of fluvial point-bar deposits: An example from the Miocene Huesca fluvial fan, Ebro Basin, Spain. American Association of Petroleum Geologists Bulletin, 92, 1109–1129.
    [Google Scholar]
  17. Dubiel, R.F., Kirschbaum, M.A., Roberts, L.N.R., Mercier, T.J. & Heinrich, A.
    2000. Chapter S. Geology and coal resources of the Blackhawk Formation in the southern Wasatch Plateau, central Utah. In: Kirschbaum, M.A., Roberts, L.N.R. & Biewick, L.R.H. (eds) Geologic Assessment of Coal in the Colorado Plateau. Arizona, Colorado, New Mexico, and Utah. United States Geological Survey, Professional Papers, 1625-B (CD-ROM only).
    [Google Scholar]
  18. Farrell, K.M.
    2001. Geomorphology, facies architecture, and high-resolution, non-marine sequence stratigraphy in avulsion deposits, Cumberland Marshes, Sasketchewan. Sedimentary Geology, 139, 93–150.
    [Google Scholar]
  19. Flood, Y.S. & Hampson, G.J.
    2014. Facies and architectural analysis to interpret avulsion style and variability: Upper Cretaceous Blackhawk Formation, Wasatch Plateau, Central Utah, USA. Journal of Sedimentary Research, 84, 743–762.
    [Google Scholar]
  20. 2015. Quantitative analysis of the dimensions and distribution of channelized fluvial sandbodies within a large-scale outcrop dataset: Upper Cretaceous Blackhawk Formation, Wasatch Plateau, Central Utah, USA. Journal of Sedimentary Research, 85, 315–336.
    [Google Scholar]
  21. Flores, R.M., Blanchard, L.F., Sanchez, J.D., Marley, W.E. & Muldoon, W.J.
    1984. Paleogeographic controls of coal accumulation, Cretaceous Blackhawk Formation and Star Point Sandstone, Wasatch Plateau, Utah. Geological Society of America Bulletin, 95, 540–550.
    [Google Scholar]
  22. Georgsen, F., Egeland, T., Knarud, R. & Omre, H.
    1994. Conditional simulation of facies architecture in fluvial reservoirs. In: Armstrong, C. & Dowd, P.A. (eds) Geostatistical Simulations. Kluwer Academic, Dordrecht, 235–250.
    [Google Scholar]
  23. Greig-Smith, P.
    1952. The use of random and contiguous quadrats in the study of the structure of plant communities. Annals of Botany, 16, 293–316.
    [Google Scholar]
  24. Hajek, E.A., Heller, P.L. & Sheets, B.A.
    2010. Significance of channel-belt clustering in alluvial basins. Geology, 38, 535–538.
    [Google Scholar]
  25. Hampson, G.J.
    2010. Sediment dispersal and quantitative stratigraphic architecture across an ancient shelf. Sedimentology, 57, 96–141.
    [Google Scholar]
  26. Hampson, G.J. & Howell, J.A.
    2005. Sedimentologic and geomorphic characterization of ancient wave-dominated shorelines: Examples from the Late Cretaceous Blackhawk Formation, Book Cliffs, Utah. In: Bhattacharya, J.P. & Giosan, L. (eds) River Deltas – Concepts, Models, and Examples. Society for Sedimentary Geology (SEPM), Special Publications, 83, 133–154.
    [Google Scholar]
  27. Hampson, G.J., Gani, M.R., Sharman, K.E., Irfan, N. & Bracken, B.
    2011. Along-strike and down-dip variations in shallow-marine sequence stratigraphic architecture: Upper Cretaceous Star Point Sandstone, Wasatch Plateau, Central Utah, USA. Journal of Sedimentary Research, 81, 159–184.
    [Google Scholar]
  28. Hampson, G.J., Gani, M.R., Sahoo, H.
    . 2012. Alluvial-to-coastal plain stratigraphic architecture and large-scale patterns of fluvial sandbody distribution in a progradational clastic wedge: Upper Cretaceous Blackhawk Formation, Wasatch Plateau, central Utah, USA. Sedimentology, 59, 2226–2258.
    [Google Scholar]
  29. Hampson, G.J., Jewell, T.O., Irfan, N., Gani, M.R. & Bracken, B.
    2013. Modest change in fluvial style with varying accommodation in regressive alluvial-to-coastal-plain wedge: Upper Cretaceous Blackhawk Formation, Wasatch Plateau, central Utah, USA. Journal of Sedimentary Research, 83, 145–169.
    [Google Scholar]
  30. Henebry, G.M. & Kux, H.J.H.
    1995. Lacunarity as a texture measure for SAR imagery. International Journal of Remote Sensing, 16, 565–571.
    [Google Scholar]
  31. Hirst, J.P.P., Blackstock, C.R. & Tyson, S.
    1993. Stochastic modelling of fluvial sandstone bodies. In: Flint, S.S. & Bryant, I.D. (eds) The Geological Modelling of Hydrocarbon Reservoirs and Outcrop Analogues. International Association of Sedimentologists, Special Publications, 15, 237–252.
    [Google Scholar]
  32. Holden, L., Hauge, R., Skare, O. & Skorstad, A.
    1998. Modeling of fluvial reservoirs with object models. Mathematical Geology, 30, 473–496.
    [Google Scholar]
  33. Horton, B.K., Constenius, K.N. & DeCelles, P.G.
    2004. Tectonic control on coarse-grained foreland-basin sequences: An example from the Cordilleran foreland basin, Utah. Geology, 32, 637–640.
    [Google Scholar]
  34. Hovadik, J. & Larue, D.K.
    2007. Static characterizations of reservoirs: Refining the concepts of connectivity and continuity. Petroleum Geoscience, 13, 195–211, http://dx.doi.org/10.1144/1354-079305-697.
    [Google Scholar]
  35. Howell, J.A. & Flint, S.S.
    2003. Siliciclastics case study: The Book Cliffs. In: Coe, A. (ed.) The Sedimentary Record of Sea-Level Change. University Press, Cambridge, 135–208.
    [Google Scholar]
  36. Jerolmack, D.J. & Paola, C.
    2007. Complexity in a cellular model of river avulsion. Geomorphology, 91, 259–270.
    [Google Scholar]
  37. Johnson, R.C.
    2003. Chapter 10. Depositional framework of the Upper Cretaceous Mancos Shale and the lower part of the Upper Cretaceous Mesaverde Group, western Colorado and eastern Utah. In: Petroleum Systems and Geologic Assessment of Oil and Gas in the Uinta-Piceance Province, Utah and Colorado. United States Geological Survey, Digital Data Series, DDS-69-B,.
    [Google Scholar]
  38. Jones, A.D.W., Doyle, J.D., Jacobsen, T. & Kjønsvik, D.
    1995. Which sub-seismic heterogeneities influence waterflood performance? A case study of a low net-to-gross fluvial reservoir. In: De Haan, H.J. (ed.) New Developments in Improved Oil Recovery. Geological Society, London, Special Publications, 84, 5–18, http://dx.doi.org/10.1144/GSL.SP.1995.084.01.02.
    [Google Scholar]
  39. Jones, H.J. & Hajek, E.A.
    2007. Characterising avulsion stratigraphy in ancient alluvial deposits. Sedimentology Geology, 202, 124–137.
    [Google Scholar]
  40. Kamola, D.L. & Huntoon, J.E.
    1995. Repetitive stratal patterns in a foreland basin sandstone and their possible tectonic significance. Geology, 23, 177–180.
    [Google Scholar]
  41. Karperien, A.
    1999–2013. FracLac for ImageJ. http://rsb.info.nih.gov/ij/plugins/fraclac/FLHelp/Introduction.htm accessed 1 March 2014.
    [Google Scholar]
  42. Karssenberg, D., Tornqvist, T.E. & Bridge, J.S.
    2001. Conditioning a process-based model of sedimentary architecture to well data. Journal of Sedimentary Research, B71, 868–879.
    [Google Scholar]
  43. Kauffman, E.G. & Caldwell, W.G.E.
    1993. The Western Interior Basin in space and time. In: Caldwell, W.G.E. & Kauffman, E.G. (eds) Evolution of the Western Interior Basin. Geological Association of Canada, Special Papers, 39, 1–30.
    [Google Scholar]
  44. King, P.R.
    1990. The connectivity and conductivity of overlapping sand bodies. In: Buller, A.T., Berg, E., Hjelmeland, O., Kleppe, J., Torsæter, O. & Aasen, J.O. (eds) North Sea Oil and Gas Reservoirs II. Graham & Trotman, London, 353–362.
    [Google Scholar]
  45. Kraus, M.J.
    1996. Avulsion deposits in lower Eocene alluvial rocks, Bighorn Basin. Journal of Sedimentary Research, 66, 354–366.
    [Google Scholar]
  46. Kraus, M.J. & Wells, T.M.
    1999. Recognizing avulsion deposits in the ancient stratigraphical record. In: Smith, N.D. & Rogers, J. (eds) Fluvial Sedimentology VI. International Association of Sedimentologists, Special Publications, 28, 251–268.
    [Google Scholar]
  47. Krystinik, L.F. & DeJarnett, B.B.
    1995. Lateral variability of sequence stratigraphic framework in the Campanian and Lower Maastrichtian of the Western Interior Seaway. In: Van Wagoner, J.C. & Bertram, G.T. (eds) Sequence Stratigraphy of Foreland Basin Deposits: Outcrop and Subsurface Examples from the Cretaceous of North America. American Association of Petroleum Geologists, Memoirs, 64, 11–26.
    [Google Scholar]
  48. Larue, D.K. & Friedmann, F.
    2005. The controversy concerning stratigraphic architecture of channelized reservoirs and recovery by waterflooding. Petroleum Geoscience, 11, 131–146, http://dx.doi.org/10.1144/1354-079303-592.
    [Google Scholar]
  49. Larue, D.K. & Hovadik, J.
    2006. Connectivity of channelized reservoirs: A modelling approach. Petroleum Geoscience, 12, 291–308, http://dx.doi.org/10.1144/1354-079306-699.
    [Google Scholar]
  50. Leeder, M.R.
    1978. A quantitative stratigraphic model for alluvium, with special reference to channel deposit density and interconnectedness. In: Miall, A.D. (ed.) Fluvial Sedimentology. Canadian Society of Petroleum Geologists, Memoirs, 5, 587–596.
    [Google Scholar]
  51. Lopez, S., Cojan, I., Rivoirard, J. & Galli, A.
    2008. Process-based stochastic modelling: Meandering channelized reservoirs. In: de Boer, P., Postma, G., van der Zwan, K., Burgess, P. & Kukla, P. (eds) Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to prediction. International Association of Sedimentologists, Special Publications, 40, 139–144.
    [Google Scholar]
  52. Lorenz, J.C., Heinze, J.M., Clark, J.A. & Searls, C.A.
    1985. Determination of widths of meander-belt sandstone reservoirs from vertical downhole data, Mesaverde Group, Piceance Creek Basin, Colorado. American Association of Petroleum Geologists Bulletin, 69, 710–721.
    [Google Scholar]
  53. Mackey, S.D. & Bridge, J.S.
    1995. Three-dimensional model of alluvial stratigraphy: Theory and application. Journal of Sedimentary Research, B65, 7–31.
    [Google Scholar]
  54. Marley, W.E., Flores, R.M. & Cavaroc, V.V.
    1979. Coal accumulation in Upper Cretaceous marginal deltaic environments of the Blackhawk Formation and Star Point Sandstone, Emery, Utah. Utah Geology, 6, 25–40.
    [Google Scholar]
  55. Mohrig, D., Heller, P.L., Paola, C. & Lyons, W.J.
    2000. Interpreting avulsion process from ancient alluvial sequences: Guadalupe–Matarranya system (northern Spain) and Wasatch Formation (western Colorado). Geological Society of America Bulletin, 112, 1787–1803.
    [Google Scholar]
  56. North, C.P.
    1996. The prediction and modelling of subsurface fluvial stratigraphy. In: Carling, P. & Dawson, M. (eds) Advances in Fluvial Dynamics and Stratigraphy. Wiley, Chichester, 395–508.
    [Google Scholar]
  57. Parker, L.R.
    1976. The paleoecology of the fluvial coal-forming swamps and associated floodplain environments in the Blackhawk Formation (Upper Cretaceous) of central Utah. Brigham Young University Geological Studies, 22, 99–116.
    [Google Scholar]
  58. Plotnick, R., Gardner, R.H. & Neil, R.V.O.
    1993. Lacunarity indices as measures of landscape texture. Landscape Ecology, 8, 201–211.
    [Google Scholar]
  59. Plotnick, R., Gardner, R.H., Hargrove, W., Prestegaard, K. & Perlmutter, M.
    1996. Lacunarity analysis: A general technique for the analysis of spatial patterns. Physical Review E, 53, 5461–5468.
    [Google Scholar]
  60. Potter, P.E.
    1967. Sand bodies and sedimentary environments: A review. American Association of Petroleum Geologists Bulletin, 51, 337–365.
    [Google Scholar]
  61. Pranter, M.J. & Sommer, N.K.
    2011. Static connectivity of fluvial sandstones in a lower coastal-plain setting: An example from the Upper Cretaceous lower Williams Fork Formation, Piceance Basin, Colorado. American Association of Petroleum Geologists Bulletin, 95, 899–923.
    [Google Scholar]
  62. Pranter, M.J., Hewlett, A.C., Cole, R.D., Wang, H. & Gilman, J.R.
    2014. Fluvial architecture and connectivity of the Williams Fork Formation: Use of outcrop analogues for stratigraphic characterisation and reservoir modelling. In: Martinius, A.W., Howell, J.A. & Good, T. (eds) Sediment-Body Geometry and Heterogeneity: Analogue Studies for Modelling the Subsurface. Geological Society, London, Special Publications, 387, 57–83, http://dx.doi.org/10.1144/SP387.1.
    [Google Scholar]
  63. Pyrcz, M.J. & Deutsch, C.V.
    2014. Geostatistical Reservoir Modelling. Oxford University Press, Oxford.
    [Google Scholar]
  64. Pyrcz, M.J., Boisvert, J.B. & Deutsch, C.V.
    2009. ALLUVSIM: A program for event-based stochastic models of fluvial depositional systems. Computers and Geosciences, 35, 1671–1685.
    [Google Scholar]
  65. Rankey, E.C.
    2002. Spatial patterns of sediment accumulation on a Holocene carbonate tidal flat, northwest Andros island, Bahamas. Journal of Sedimentary Research, 72, 591–601.
    [Google Scholar]
  66. Rasband, W.A.
    1997–2014. ImageJ. http://imagej.nih.gov/ij/ accessed 1 March 2014.
    [Google Scholar]
  67. Ripley, B.D.
    1976. The second-order analysis of stationary point processes. Journal of Applied Probability, 13, 255–266.
    [Google Scholar]
  68. 1977. Modelling spatial patterns. Journal of the Royal Statistical Society, Series B (Methodological), 39, 172–212.
    [Google Scholar]
  69. Rittersbacher, A., Buckley, S.J., Howell, J.A., Hampson, G.J. & Vallet, J.
    2014a. Helicopter-based laser scanning: A method for quantitative analysis of large-scale sedimentary architecture. In: Martinius, A.W., Howell, J.A. & Good, T. (eds) Sediment-Body Geometry and Heterogeneity: Analogue Studies for Modelling the Subsurface. Geological Society, London, Special Publications, 387, 185–202, http://dx.doi.org/10.1144/SP387.3.
    [Google Scholar]
  70. Rittersbacher, A., Howell, J.A. & Buckley, S.J.
    2014b. Analysis of fluvial architecture in the Blackhawk Formation, Wasatch Plateau, Utah, USA, using large 3D photorealistic models. Journal of Sedimentary Research, 84, 72–87.
    [Google Scholar]
  71. Rosenberg, M.S. & Anderson, C.D.
    2011. PASSaGE: Pattern analysis, spatial statistics and geographic exegesis. Version 2. Methods in Ecology and Evolution, 2, 229–232.
    [Google Scholar]
  72. Roy, A., Perfect, E., Dunne, W.M., Odling, N. & Kim, J.-W.
    2010. Lacunarity analysis of fracture networks: Evidence for scale-dependent clustering. Journal of Structural Geology, 32, 1444–1449.
    [Google Scholar]
  73. Seifert, D. & Jensen, J.L.
    2000. Object and pixel-based reservoir modelling of a braided fluvial reservoir. Mathematical Geology, 31, 527–550.
    [Google Scholar]
  74. Shanley, K.W.
    2004. Fluvial reservoir description for a giant, low-permeability gas field: Jonah Field, Green River Basin, Wyoming, USA. In: Robinson, J.W. & Shanley, K.W. (eds) Jonah Field: Case Study of a Tight-Gas Fluvial Reservoir. American Association of Petroleum Geologists, Studies in Geology, 52, 159–182.
    [Google Scholar]
  75. Shanley, K.W. & McCabe, P.J.
    1994. Perspectives on the sequence stratigraphy of continental strata. American Association of Petroleum Geologists Bulletin, 78, 544–568.
    [Google Scholar]
  76. Slingerland, R.L. & Smith, N.D.
    2004. River avulsions and their deposits. Annual Reviews of Earth and Planetary Science, 32, 257–285.
    [Google Scholar]
  77. Smith, N.D., Cross, T.A., Dufficy, J.P. & Clough, S.R.
    1989. Anatomy of an avulsion. Sedimentology, 36, 1–23.
    [Google Scholar]
  78. Srivastava, R.M.
    1996. Matheronian geostatistics: Where is it going?In: Baafi, E.Y. & Schofield, N.A. (eds) Geostatistics Wollongong. Kluwer Academic, Dordrecht.
    [Google Scholar]
  79. Stouthamer, E. & Berendsen, H.J.A.
    2007. Avulsion: The relative roles of autogenic and allogenic processes. Sedimentary Geology, 198, 309–325.
    [Google Scholar]
  80. Straub, K.M., Paola, C., Mohrig, D., Wolinsky, M.A. & George, T.
    2009. Compensational stacking of channelised sedimentary deposits. Journal of Sedimentary Research, 79, 673–688.
    [Google Scholar]
  81. Taylor, D.R. & Lovell, R.W.W.
    1995. High-frequency sequence stratigraphy and paleogeography of the Kenilworth Member, Blackhawk Formation, Book Cliffs, Utah, USA. In: Van Wagoner, J.C. & Bertram, G.T. (eds) Sequence Stratigraphy of Foreland Basin Deposits: Outcrop and Subsurface Examples from the Cretaceous of North America. American Association of Petroleum Geologists, Memoirs, 64, 257–275.
    [Google Scholar]
  82. Wang, Y., Straub, K.M. & Hajek, E.A.
    2011. Scale-dependent compensational stacking: An estimate of autogenic time scales in channelised sedimentary deposits. Geology, 39, 811–814.
    [Google Scholar]
  83. Wright, V.P. & Marriott, S.B.
    1993. The sequence stratigraphy of fluvial depositional systems: The role of floodplain sediment storage. Sedimentary Geology, 86, 203–210.
    [Google Scholar]
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