Abstract
Improved prediction of the recovery of oil-in-place in basin-floor fan reservoirs requires accurate characterization and modelling of multiscale heterogeneities. The use of outcrop analogues is a key tool to augment this process by documenting and quantifying sedimentary architecture, hierarchy and sedimentary facies relationships. A 3D geological modelling workflow is presented that tests the impact of fine-scale heterogeneities within basin-floor lobe complexes on reservoir connectivity. Construction of geological models of a basin-floor lobe complex allows realistic depositional architecture and facies distributions to be captured. In addition, detailed models are constructed from channelized areas within a basin-floor lobe complex. Petrophysical modelling and streamline analysis are employed to test the impact on reservoir connectivity between lobe models with: (i) vertically stacked facies with coarsening- and thickening-upwards trends in all locations; and (ii) lateral facies changes with dimensions and distributions constrained from outcrop data. The findings show that differences in facies architecture and, in particular, lobe-on-lobe amalgamation have a significant impact on connectivity and macroscopic sweep efficiency, which influence the production results. Channelized lobe areas are less predictable reservoir targets owing to uncertainties associated with channel-fill heterogeneities. The use of deterministic sedimentary architecture concepts and facies relationships have proven vital in the accurate modelling of reservoir heterogeneities.
Original language | English |
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Pages (from-to) | 159-176 |
Number of pages | 18 |
Journal | Petroleum Geoscience |
Volume | 23 |
Issue number | 2 |
Early online date | 30 Sept 2016 |
DOIs | |
Publication status | Published - May 2017 |
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Basins, stratigraphy and sedimentary processes
Brunt, R. (PI), Redfern, J. (PI), Huuse, M. (PI), Schroeder, S. (PI), Hodgetts, D. (PI), Hollis, C. (PI), Kane, I. (PI), Jerrett, R. (PI), Taylor, K. (PI), Flint, S. (PI), Gawthorpe, R. (PI), Bowman, M. (PI) & Bulot, L. G. (PI)
Project: Research