Colombera, L orcid.org/0000-0001-9116-1800, Yan, N orcid.org/0000-0003-1790-5861, McCormick-Cox, T et al. (1 more author) (2018) Seismic-driven geocellular modeling of fluvial meander-belt reservoirs using a rule-based method. Marine and Petroleum Geology, 93. pp. 553-569. ISSN 0264-8172
Abstract
A novel workflow is presented for building static models of fluvial reservoirs composed of large point-bar architectural elements, based on the application of a specialized forward stratigraphic model, named ‘Point-Bar Sedimentary Architecture Numerical Deduction’ (PB-SAND).
The approach uses interpreted horizontal slices from 3D seismic datasets to reconstruct the planform evolution of meander loops, on which basis the geometry of point-bar deposits and associated accretion units can be simulated deterministically. The resulting meander-belt geometry is then populated with different types of facies, through a rule-based algorithm that generates facies architectures that reflect geologic understanding, enabling users to establish linkages between styles of meander evolution (e.g., meander growth via expansion, translation, rotation) and facies distributions. Input parameters define the proportions, geometries and distributions of types of point-bar deposits, as captured from subsurface data and/or from geologic analogs. Multiple stochastic realizations of facies architecture can be generated.
To demonstrate the application of this modeling approach, the workflow has been applied to a meander-belt reservoir where large point-bar and channel-fill elements are imaged in seismic. A detailed example is used to illustrate workflows that can be used to build high-resolution sector models in pre-drill contexts, suitable for guiding development plans. An additional example is used to show how to achieve well match for densely drilled sectors, by means of a hybrid approach that combines the new algorithm with traditional geostatistical techniques.
It is shown how the workflow allows consideration of point-bar growth styles, as inferred from seismic data, on distribution and geometry of heterogeneities, and how this facilitates the reproduction of geologic features that are important controls on the static connectivity of point-bar reservoirs (e.g., distribution and characteristics of bar-front mud drapes, and of mud-prone packages arising from progressive meander-bend tightening or from downstream fining of deposits beyond the apex of a meander bend). A comparison with traditional variogram-based methods is undertaken to compare metrics that describe intra-point-bar static connectivity and that represent proxies for the degree of compartmentalization of upper-bar sands by mud drapes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | (c) 2018, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Marine and Petroleum Geology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Point bar; Mud drape; Meandering channel; Sedimentary architecture; Connectivity; Reservoir model; Facies model; Stochastic model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds) |
Funding Information: | Funder Grant number Tullow Oil Ltd Not Known Conoco Phillips (UK) Ltd Not Known Woodside Energy Ltd Not Known Operating Account FRG Areva NC Not Known Nexen Inc N/A BHP Petroleum (Americas) Inc 3200146611 Shell International Exploration Prodn BV PO4511216520 Nexen Inc Not Known Operating Account N/A Woodside Energy Ltd PO-200489-5B-0-0B-TEC-23 Woodside Energy Ltd PO-200489-5B-0-0B-TEC-23 Conoco Phillips (UK) Ltd 4517303979 BHP Petroleum (Americas) Inc N/A Woodside Energy Ltd No External Ref Nexen Inc No External Ref Shell International No External Ref NERC NE/N017218/1 Nexen Petroleum UK Ltd Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Apr 2018 14:42 |
Last Modified: | 01 Apr 2019 00:40 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.marpetgeo.2018.03.042 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129207 |