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Volume 3, Issue 1
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Abstract

Net-transgressive, shallow-marine sandstone reservoirs overlain by thick mudstone seals are prime candidates for storage of CO, H and thermal energy. Although these reservoirs have high net-to-gross ratios, analogous outcrops demonstrate a wide range of sedimentological heterogeneities that are sampled only sparsely or at low resolution in subsurface data. We use a combination of outcrop data, sketch-based reservoir modelling and flow diagnostics to assess the impact of sedimentological heterogeneities on subsurface storage.

The Cliff House Sandstone outcrop example comprises wave-dominated shoreface sandstones arranged in aggradationally-to-retrogradationally stacked parasequences, which overlie and pass up depositional dip into mudstone-dominated coastal plain, lagoonal and tidal flat deposits that encase channelized tidal and tidally influenced fluvial sandbodies. Reservoir models of this outcrop example demonstrate that effective horizontal permeability, flow patterns and displacement, and stratigraphic trapping potential are controlled by: (1) the packaging of shoreface sandstones into laterally extensive parasequences bounded by offshore mudstones; (2) the spatial distribution, connectivity and permeability of channelized sandbodies; and (3) the localized connections between channelized sandbodies and shoreface sandstones. The last two parameters are likely to be poorly constrained in subsurface seismic and well data, and their potential effects require evaluation in reservoir modelling studies.

© 2025 The Author(s). Published by The Geological Society of London for GSL and EAGE

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References

  1. Abbots, F.V. and Van Kuijk, A.D.1997. Using 3D geological modelling and connectivity analysis to locate remaining oil targets in the Brent reservoir of the mature Brent Field. Paper SPE-38473-MS, presented at the SPE Offshore Europe, Aberdeen, United Kingdom, September 1997, doi: 10.2118/38473-MS10.2118/38473‑MS
     https://doi.org/10.2118/38473-MS [Google Scholar]
  2. Alshakri, J., Hampson, G.J. et al.2023. A screening assessment of the impact of sedimentological heterogeneity on CO2 migration and stratigraphic-baffling potential: Sherwood and Bunter sandstones, UK. Geological Society, London, Special Publications, 528, 245–266, doi: 10.1144/SP528-2022-3410.1144/SP528‑2022‑34
     https://doi.org/10.1144/SP528-2022-34 [Google Scholar]
  3. Baird, K., Arnold, D. et al.2024. Assessment of the impacts of multi-scale sedimentological heterogeneity on low-enthalpy geothermal energy production. Proceedings of 49th Workshop on Geothermal Reservoir Engineering, Stanford Univeristy, California, https://pangea.stanford.edu/ERE/pdf/IGAstandard/SGW/2024/Baird.pdf
     [Google Scholar]
  4. Box, G., Hunter, W. and Hunter, J.1978. Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building. Wiley Press, New York.
     [Google Scholar]
  5. Bump, A.P. and Hovorka, S.D.2024. Pressure space: the key subsurface commodity for CCS. International Journal of Greenhouse Gas Control, 136, 104174, doi: 10.1016/j.ijggc.2024.10417410.1016/j.ijggc.2024.104174
     https://doi.org/10.1016/j.ijggc.2024.104174 [Google Scholar]
  6. Cattaneo, A. and Steel, R.J.2003. Transgressive deposits, a review of their variability. Earth Science Reviews, 62, 187–223, doi: 10.1016/S0012-8252(02)00134-410.1016/S0012‑8252(02)00134‑4
     https://doi.org/10.1016/S0012-8252(02)00134-4 [Google Scholar]
  7. Caumon, G., Collon-Drouaillet, P., Le Carlier de Veslud, C., Viseur, S. and Sausse, J.2009. Surface-based 3D modeling of geological structures. Mathematical Geosciences, 41, 927–945, doi: 10.1007/s11004-009-9244-210.1007/s11004‑009‑9244‑2
     https://doi.org/10.1007/s11004-009-9244-2 [Google Scholar]
  8. Clauser, C.2021. Thermal storage and transport properties of rocks, II: thermal conductivity and diffusivity. In:Gupta, H.K. (ed.) Encyclopedia of Solid Earth Geophysics. 2nd edn. Springer International Publishing, Cham, 1769–1787, doi: 10.1007/978-3-030-58631-7_6710.1007/978‑3‑030‑58631‑7_67
     https://doi.org/10.1007/978-3-030-58631-7_67 [Google Scholar]
  9. Colombera, L. and Mountney, N.P.2021. Influence of fluvial crevasse-splay deposits on sandbody connectivity: lessons from geological analogues and stochastic modelling. Marine and Petroleum Geology, 128, 105060, doi: 10.1016/j.marpetgeo.2021.10506010.1016/j.marpetgeo.2021.105060
     https://doi.org/10.1016/j.marpetgeo.2021.105060 [Google Scholar]
  10. Copestake, P.2023. Chapter 9. Application of sequence stratigraphy to the evaluation of selected North Sea Jurassic hydrocarbon fields and carbon capture, utilization and storage (CCUS) projects. Geological Society of London, Memoir, 59, 249–291, doi: 10.1144/M59-2022-5910.1144/M59‑2022‑59
     https://doi.org/10.1144/M59-2022-59 [Google Scholar]
  11. Costa Sousa, M., Silva, J.D.M. et al.2020. Smart modelling of geologic stratigraphy concepts using sketches. Smart Tools and Applications in computer Graphics (STAG) 2020 Proceedings, 12–13 November, online, 89–100, doi: 10.2312/stag.2020124310.2312/stag.20201243
     https://doi.org/10.2312/stag.20201243 [Google Scholar]
  12. Crooijmans, R.A., Willems, C.J.L., Nick, H.M. and Bruhn, D.F.2016. The influence of facies heterogeneity on the doublet performance in low-enthalpy geothermal sedimentary reservoirs. Geothermics, 64, 209–219, doi: 10.1016/j.geothermics.2016.06.00410.1016/j.geothermics.2016.06.004
     https://doi.org/10.1016/j.geothermics.2016.06.004 [Google Scholar]
  13. Denver, L.E. and Phillips, D.C.1990. Stratigraphic geocellular modeling. Geobyte, 5, 45–47.
     [Google Scholar]
  14. De Simone, S. and Krevor, S.2021. A tool for first order estimates and optimisation of dynamic storage resource resource in saline aquifers. International Journal of Greenhouse Gas Control, 106, 103258, doi: 10.1016/j.ijggc.2021.10325810.1016/j.ijggc.2021.103258
     https://doi.org/10.1016/j.ijggc.2021.103258 [Google Scholar]
  15. Donselaar, M.E.1989. The Cliff House Sandstone, San Juan Basin, New Mexico; model for the stacking of “transgressive” barrier complexes. Journal of Sedimentary Research, 59, 13–27, doi: 10.1306/212f8f08-2b24-11d7-8648000102c1865d10.1306/212f8f08‑2b24‑11d7‑8648000102c1865d
     https://doi.org/10.1306/212f8f08-2b24-11d7-8648000102c1865d [Google Scholar]
  16. Flett, M., Gurton, R. and Weir, G.2007. Heterogeneous saline formations for carbon dioxide disposal: impact of varying heterogeneity on containment and trapping. Journal of Petroleum Science and Engineering, 57, 106–118, doi: 10.1016/j.petrol.2006.08.01610.1016/j.petrol.2006.08.016
     https://doi.org/10.1016/j.petrol.2006.08.016 [Google Scholar]
  17. Gershenzon, N.I., Ritzi, R.W., Dominic, D.F., Mehnert, E. and Okwen, R.T.2016. Comparison of CO2 trapping in highly heterogeneous reservoirs with Brooks-Corey and van Genuchten type capillary pressure curves. Advances in Water Resources, 96, 225–236, doi: 10.1016/j.advwatres.2016.07.02210.1016/j.advwatres.2016.07.022
     https://doi.org/10.1016/j.advwatres.2016.07.022 [Google Scholar]
  18. Gibling, M.R.2006. Width and thickness of fluvial channel bodies and valley fills in the geological record: a literature compilation and classification. Journal of Sedimentary Research, 76, 731–770, doi: 10.2110/jsr.2006.06010.2110/jsr.2006.060
     https://doi.org/10.2110/jsr.2006.060 [Google Scholar]
  19. Gibson-Poole, C.M., Svendsen, L., Watson, M.N., Daniel, R.F., Ennis-King, J. and Rigg, A.J.2009. Understanding stratigraphic heterogeneity: a methodology to maximize the efficiency of the geological storage of CO2. American Association of Petroleum Geologists, Studies in Geology, 59, 347–364, doi: 10.1306/13171248St59338510.1306/13171248St593385
     https://doi.org/10.1306/13171248St593385 [Google Scholar]
  20. Goh, L.S.1993. The Logger field: geology and reservoir characterization. In:Aasen, J.O., Buller, A.T., Hjelmeland, O., Holt, R.M., Kleppe, J. and Torsæter, O. (eds) North Sea Oil and Gas Reservoirs – III: Proceedings of the 3rd North Sea Oil and Gas Reservoirs Conference. Kluwer Academic Publishers, Dordrecht, 75–93.
     [Google Scholar]
  21. Hamilton, D.E. and Jones, T.A.1992. Computer Modeling of Geologic Surfaces and Volumes. American Association of Petroleum Geologists, Computer Applications in Geology, 1.
     [Google Scholar]
  22. Hampson, G.J., Sixsmith, P.J., Kieft, R.L., Jackson, C.A.L. and Johnson, H.D.2009. Quantitative analysis of net-transgressive shoreline trajectories and stratigraphic architectures: mid-to-late Jurassic of the North Sea Rift Basin. Basin Research, 21, 528–558, doi: 10.1111/j.1365-2117.2009.00414.x10.1111/j.1365‑2117.2009.00414.x
     https://doi.org/10.1111/j.1365-2117.2009.00414.x [Google Scholar]
  23. Hashemi, L., Blunt, M. and Hajibeygi, H.2021. Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media. Scientific Reports, 11, 8348, doi: 10.1038/s41598-021-87490-710.1038/s41598‑021‑87490‑7
     https://doi.org/10.1038/s41598-021-87490-7 [Google Scholar]
  24. Hossain, S., Hampson, G.J. et al.2025. Effective permeability of fluvial lithofacies in the Bunter Sandstone Formation, UK. Advances in Water Resources, 199, 104936, doi: 10.1016/j.advwatres.2025.10493610.1016/j.advwatres.2025.104936
     https://doi.org/10.1016/j.advwatres.2025.104936
  25. Howell, J.A., Martinius, A.W. and Good, T.R.2014. The application of outcrop analogues in geological modelling: a review, present status and future outlook. Geological Society, London, Special Publications, 387, 1–25, doi: 10.1144/SP38710.1144/SP387
     https://doi.org/10.1144/SP387 [Google Scholar]
  26. Jackson, M.D., Hampson, G.J. and Sech, R.P.2009. Three-dimensional modeling of a shoreface-shelf parasequence reservoir analog: part 2. Geologic controls on fluid flow and hydrocarbon recovery. American Association of Petroleum Geologists Bulletin, 93, 1183–1208, doi: 10.1306/0511090814510.1306/05110908145
     https://doi.org/10.1306/05110908145 [Google Scholar]
  27. Jackson, S.J. and Krevor, S.2020. Small-scale capillary heterogeneity linked to rapid plume migration during CO 2 storage. Geophysical Research Letters, 47, e2020GL088616, doi: 10.1029/2020GL08861610.1029/2020GL088616
     https://doi.org/10.1029/2020GL088616 [Google Scholar]
  28. Jackson, W.A., Hampson, G.J. et al.2022. A screening assessment of the impact of sedimentological heterogeneity on CO2 migration and stratigraphic-baffling potential: Johansen and Cook formations, Northern Lights project, offshore Norway. International Journal of Greenhouse Gas Control, 120, 103762, doi: 10.1016/j.ijggc.2022.10376210.1016/j.ijggc.2022.103762
     https://doi.org/10.1016/j.ijggc.2022.103762 [Google Scholar]
  29. Jacquemyn, C., Jackson, M.D. and Hampson, G.J.2019. Surface-based geological reservoir modelling using grid-free NURBS curves and surfaces. Mathematical Geosciences, 51, 1–28, doi: 10.1007/s11004-018-9764-810.1007/s11004‑018‑9764‑8
     https://doi.org/10.1007/s11004-018-9764-8 [Google Scholar]
  30. Jacquemyn, C., Pataki, M.E.H. et al.2021. Sketch-based interface and modelling of stratigraphy and structure in three dimensions. Journal of the Geological Society, London, 178, jgs2020-187, doi: 10.1144/jgs2020-18710.1144/jgs2020‑187
     https://doi.org/10.1144/jgs2020-187 [Google Scholar]
  31. Jones, A.D.W., Doyle, J.D., Jacobsen, T. and Kjønsvik, D.1995. Which sub-seismic heterogeneities influence waterflood performance? A case study of a low net-to-gross fluvial reservoir. Geological Society, London, Special Publications, 84, 5–18, doi: 10.1144/GSL.SP.1995.084.01.0210.1144/GSL.SP.1995.084.01.02
     https://doi.org/10.1144/GSL.SP.1995.084.01.02 [Google Scholar]
  32. Jordan, O.D., Gupta, S., Hampson, G.J. and Johnson, H.D.2016. Preserved stratigraphic architecture and evolution of a net-transgressive mixed wave- and tide-influenced coastal system: the Cliff House Sandstone, Northwestern New Mexico, USA. Journal of Sedimentary Research, 86, 1399–1424, doi: 10.2110/jsr.2016.8310.2110/jsr.2016.83
     https://doi.org/10.2110/jsr.2016.83 [Google Scholar]
  33. Kauffman, E.G. and Caldwell, W.G.E.1993. The Western Interior Basin in space and time. Geological Association of Canada Special Paper, 39, 1–30.
     [Google Scholar]
  34. Krevor, S., Blunt, M.J., Benson, S.M., Pentland, C.H., Reynolds, C., Al-Menhali, A. and Niu, B.2015. Capillary trapping for geologic carbon dioxide storage – from pore scale physics to field scale implications. International Journal of Greenhouse Gas Control, 40, 221–237, doi: 10.1016/j.ijggc.2015.04.00610.1016/j.ijggc.2015.04.006
     https://doi.org/10.1016/j.ijggc.2015.04.006 [Google Scholar]
  35. Krevor, S., de Coninck, H. et al.2023. Subsurface carbon dioxide and hydrogen storage for a sustainable energy future. Nature Reviews Earth & Environment, 4, 102–118, doi: 10.1038/s43017-022-00376-810.1038/s43017‑022‑00376‑8
     https://doi.org/10.1038/s43017-022-00376-8 [Google Scholar]
  36. Krystinik, L.F. and DeJarnett, B.B.1995. Lateral variability of sequence stratigraphic framework in the Campanian and Lower Maastrichtian of the Western Interior Seaway. Association of Petroleum Geologists, Memoir, 64, 11–26, doi: 10.1306/M64594C210.1306/M64594C2
     https://doi.org/10.1306/M64594C2 [Google Scholar]
  37. Larue, D.K. and Hovadik, J.2006. Connectivity of channelized reservoirs: a modelling approach. Petroleum Geoscience, 12, 291–308, doi: 10.1144/1354-079306-69910.1144/1354‑079306‑699
     https://doi.org/10.1144/1354-079306-699 [Google Scholar]
  38. Lawton, T.F., Pollock, S.L. and Robinson, R.A.J.2003. Integrating sandstone petrology and nonmarine sequence stratigraphy: application to the Late Cretaceous fluvial systems of southwestern Utah, USA. Journal of Sedimentary Research, 73, 389–406, doi: 10.1306/10070273038910.1306/100702730389
     https://doi.org/10.1306/100702730389 [Google Scholar]
  39. Li, Z. and Aschoff, J.2022. Shoreline evolution in the Late Cretaceous North American Cordilleran foreland basin: an exemplar of the combined influence of tectonics, sea level, and sediment supply through time. Earth-Science Reviews, 226, 103947, doi: 10.1016/j.earscirev.2022.10394710.1016/j.earscirev.2022.103947
     https://doi.org/10.1016/j.earscirev.2022.103947 [Google Scholar]
  40. Lie, K.A., Møyner, O. and Krogstad, S.2015. Application of flow diagnostics and multiscale methods for reservoir management. Society of Petroleum Engineers, Reservoir Simulation Symposium, Houston, TX, Paper 173376.
     [Google Scholar]
  41. Livera, S.E.1989. Facies associations and sand-body geometries in the Ness Formation of the Brent Group, Brent Field. Geological Society, London, Special Publications, 41, 269–286, doi: 10.1144/GSL.SP.1989.041.01.1910.1144/GSL.SP.1989.041.01.19
     https://doi.org/10.1144/GSL.SP.1989.041.01.19 [Google Scholar]
  42. Mijnlieff, H.F.2020. Introduction to the geothermal play and reservoir geology of the Netherlands. Netherlands Journal of Geosciences, 99, e2, doi: 10.1017/njg.2020.210.1017/njg.2020.2
     https://doi.org/10.1017/njg.2020.2 [Google Scholar]
  43. Molenaar, C.M.1983. Major depositional cycles and regional correlations of Upper Cretaceous rocks, southern Colorado Plateau, and adjacent area. In:Reynolds, M.W. and Dolly, E.D. (eds) Mesozoic Paleogeography of West-Central United States. Rocky Mountain Palaeogeography Symposium Vol. 2, Rocky Mountain Section Society of Economic Paleontologists and Mineralogists, 201–224.
     [Google Scholar]
  44. Møyner, O., Krogstad, S. and Lie, K.A.2014. The application of flow diagnostics for reservoir management. Society of Petroleum Engineers Journal, 20, 306–323, doi: 10.2118/171557-PA10.2118/171557‑PA
     https://doi.org/10.2118/171557-PA [Google Scholar]
  45. Olsen, T.R., Mellere, D. and Olsen, T.1999. Facies architecture and geometry of landward-stepping shoreface tongues: the Upper Cretaceous Cliff House Sandstone (Mancos Canyon, south-west Colorado). Sedimentology, 46, 603–625, doi: 10.1046/j.1365-3091.1999.00234.x10.1046/j.1365‑3091.1999.00234.x
     https://doi.org/10.1046/j.1365-3091.1999.00234.x [Google Scholar]
  46. Onyenanu, G.I., Hampson, G.J., Fitch, P.J.R. and Jackson, M.D.2019. Effects of erosional scours on reservoir properties of heterolithic, distal lower-shoreface sandstones. Petroleum Geoscience, 25, 235–248, doi: 10.1144/petgeo2018-05810.1144/petgeo2018‑058
     https://doi.org/10.1144/petgeo2018-058 [Google Scholar]
  47. Painter, C.S. and Carrapa, B.2013. Flexural versus dynamic processes of subsidence in the North American Cordillera foreland basin. Geophysical Research Letters, 40, 4249–4253, doi: 10.1002/grl.5083110.1002/grl.50831
     https://doi.org/10.1002/grl.50831 [Google Scholar]
  48. Palmer, J.J. and Scott, A.J.1984. Stacked shoreline and shelf sandstone of La Ventena Tongue (Campanian), northwestern New Mexico. American Association of Petroleum Geologists Bulletin, 68, 74–91, doi: 10.1306/AD46096D-16F7-11D7-8645000102C1865D10.1306/AD46096D‑16F7‑11D7‑8645000102C1865D
     https://doi.org/10.1306/AD46096D-16F7-11D7-8645000102C1865D [Google Scholar]
  49. Petrovskyy, D., Jacquemyn, C.E.M.M. et al.2023. Rapid flow diagnostics for reservoir prototyping - applications to subsurface CO2 storage. International Journal of Greenhouse Gas Control, 124, 103855, doi: 10.1016/j.ijggc.2023.10385510.1016/j.ijggc.2023.103855
     https://doi.org/10.1016/j.ijggc.2023.103855 [Google Scholar]
  50. Pyrcz, M.J., Catuneanu, O. and Deutsch, C.V.2005. Stochastic surface-based modeling of turbidite lobes. American Association of Petroleum Geologists Bulletin, 89, 177–191, doi: 10.1306/0922040311210.1306/09220403112
     https://doi.org/10.1306/09220403112 [Google Scholar]
  51. Qu, M.L., Yang, J., Foroughi, S., Zhang, Y., Yu, Z.T., Blunt, M.J. and Lin, Q.2024. Pore-to-meter scale modeling of heat and mass transport applied to thermal energy storage: how local thermal and velocity fluctuations affect average thermal dispersivity. Energy, 296, 131147, doi: 10.1016/j.energy.2024.13114710.1016/j.energy.2024.131147
     https://doi.org/10.1016/j.energy.2024.131147 [Google Scholar]
  52. Rasmussen, A. and Lie, K.A.2014. Discretization of flow diagnostics on stratigraphic and unstructured grids. 14th European Conference on the Mathematics of Oil Recovery, Catania, Sicily, 1–17, doi: 10.3997/2214-4609.2014184410.3997/2214‑4609.20141844
     https://doi.org/10.3997/2214-4609.20141844 [Google Scholar]
  53. Ruiu, J., Caumon, G. and Viseur, S.2016. Modeling channel forms and related sedimentary objects using a boundary representation based on non-uniform rational B-splines. Mathematical Geosciences, 48, 259–284, doi: 10.1007/s11004-015-9629-310.1007/s11004‑015‑9629‑3
     https://doi.org/10.1007/s11004-015-9629-3 [Google Scholar]
  54. Saadatpoor, E., Bryant, S.L. and Sepehrnoori, K.2009. New trapping mechanism in carbon sequestration. Transport in Porous Media, 82, 3–17, doi: 10.1007/s11242-009-9446-610.1007/s11242‑009‑9446‑6
     https://doi.org/10.1007/s11242-009-9446-6 [Google Scholar]
  55. Scott, G.R., O'Sullivan, R.B. and Weide, D.L.1984. Geologic Map of the Chaco Culture National Historical Park, North Western New Mexico. United States Geological Survey Miscellaneous Investigations Series Map, I-1571, 1 sheet, scale 1:50,000.
     [Google Scholar]
  56. Sears, J.D., Hunt, C.B. and Hendricks, T.A.1941.Transgressive and Regressive Cretaceous Deposits in Southern San Juan Basin, New Mexico. United States Geological Survey, Professional Paper, 193-F.
     [Google Scholar]
  57. Sech, R.P., Jackson, M.D. and Hampson, G.J.2009. Three-dimensional modeling of a shoreface-shelf parasequence reservoir analog: part 1. Surface-based modeling to capture high-resolution facies architecture. Association of Petroleum Geologists Bulletin, 93, 1155–1181, doi: 10.1306/0511090814410.1306/05110908144
     https://doi.org/10.1306/05110908144 [Google Scholar]
  58. Shahvali, M., Mallison, B., Wei, K. and Gross, H.2012. An alternative to streamlines for flow diagnostics on structured and unstructured grids. Society of Petroleum Engineers Journal, 17, 768–778, doi: 10.2118/146446-PA10.2118/146446‑PA
     https://doi.org/10.2118/146446-PA [Google Scholar]
  59. Siebels, A., Bults, A., Nolten, M., Wierenga, J., Doust, H. and Verbeek, J.2022. Potential for CO2 sequestration in saline formations in the western offshore Netherlands: a preliminary study – expanding carbon capture and storage beyond depleted fields. American Association of Petroleum Geologists Bulletin, 106, 1855–1876, doi: 10.1306/0225222101810.1306/02252221018
     https://doi.org/10.1306/02252221018 [Google Scholar]
  60. Sixsmith, P.J., Hampson, G.J., Gupta, S., Johnson, H.D. and Fofana, J.F.2008. Facies architecture of a net transgressive sandstone reservoir analog: the Cretaceous Hosta Tongue, New Mexico. American Association of Petroleum Geologists Bulletin, 92, 513–547, doi: 10.1306/0102080701710.1306/01020807017
     https://doi.org/10.1306/01020807017 [Google Scholar]
  61. Skorstad, A., Kolbjørnsen, O., Manzocchi, T., Carter, J.N. and Howell, J.A.2008. Combined effects of structural, stratigraphic and well controls on production variability in faulted shallow-marine reservoirs. Petroleum Geoscience, 14, 45–54, doi: 10.1144/1354-079307-78910.1144/1354‑079307‑789
     https://doi.org/10.1144/1354-079307-789 [Google Scholar]
  62. Swift, D.J.P.1968. Coastal erosion and transgressive stratigraphy. Journal of Geology, 76, 444–456, doi: 10.1086/62734210.1086/627342
     https://doi.org/10.1086/627342 [Google Scholar]
  63. Szwarc, T.S., Johnson, C.L., Stright, L.E. and McFarlane, C.M.2015. Interactions between axial and transverse drainage systems in the Late Cretaceous Cordilleran foreland basin: evidence from detrital zircons in the Straight Cliffs Formation, southern Utah, USA. Geological Society of America Bulletin, 127, 372–392, doi: 10.1130/B31039.110.1130/B31039.1
     https://doi.org/10.1130/B31039.1 [Google Scholar]
  64. Taylor, A.M. and Goldring, R.1993. Description and analysis of bioturbation and ichnofabric. Journal of the Geological Society, London, 150, 141–148, doi: 10.1144/gsjgs.150.1.014110.1144/gsjgs.150.1.0141
     https://doi.org/10.1144/gsjgs.150.1.0141 [Google Scholar]
  65. Tyler, N. and Finley, R.J.1991. Architectural controls on the recovery of hydrocarbons from sandstone reservoirs. In:Miall, A.D. and Tyler, N. (eds) The Three-Dimensional Facies Architecture of Terrigenous Clastic Sediments and Its Implications for Hydrocarbon Recovery and Discovery. Society for Sedimentary Geology (SEPM), Concepts in Sedimentology and Paleontology, 3, 1–5, doi: 10.2110/csp.91.03.000110.2110/csp.91.03.0001
     https://doi.org/10.2110/csp.91.03.0001 [Google Scholar]
  66. Van Cappelle, M., Hampson, G.J. and Johnson, H.D.2018. Spatial and temporal evolution of coastal depositional systems and regional depositional process regimes: Campanian Western Interior Seaway, USA. Journal of Sedimentary Research, 88, 873–897, doi: 10.2110/jsr.2018.4910.2110/jsr.2018.49
     https://doi.org/10.2110/jsr.2018.49 [Google Scholar]
  67. Villamizar, C.A., Hampson, G.J., Flood, Y.S. and Fitch, P.J.R.2015. Object-based modelling of avulsion-generated sandbody distributions and connectivity in a fluvial reservoir analogue of low to moderate net-to-gross ratio. Petroleum Geoscience, 21, 249–270, doi: 10.1144/petgeo2015-00410.1144/petgeo2015‑004
     https://doi.org/10.1144/petgeo2015-004 [Google Scholar]
  68. Wang, Y., Voskov, D., Khait, M., Saeid, S. and Bruhn, D.2021. Influential factors on the development of a low-enthalpy geothermal reservoir: a sensitivity study of a realistic field. Renewable Energy, 179, 641–651, doi: 10.1016/j.renene.2021.07.01710.1016/j.renene.2021.07.017
     https://doi.org/10.1016/j.renene.2021.07.017 [Google Scholar]
  69. Weber, K.J. and Van Geuns, L.C.1990. Framework for constructing clastic reservoir simulation models. Journal of Petroleum Technology, 42, 1248–1297, doi: 10.2118/19582-PA10.2118/19582‑PA
     https://doi.org/10.2118/19582-PA [Google Scholar]
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Impact of sedimentological heterogeneity on subsurface storage in net-transgressive, shallow-marine sandstones: Cliff House Sandstone, New Mexico, USA
Geoenergy 3, geoenergy2024-022 (2025); https://doi.org/10.1144/geoenergy2024-022
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