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- W4320807701 abstract "Summary Building a static reservoir model for a deepwater greenfield that most accurately represents geological data is the starting point in de-risking well placement and optimisation. A sound depositional model and chronostratigraphic control are prerequisites for a robust static reservoir model. The recent study has led to a significant revision of the chrono-stratigraphic correlation and sedimentological model that shifted from a turbidites-lobes system with high reservoir continuity to a more complex turbidites-channels system. This revision caused a substantial impact on reservoir distribution, connectivity, and well placement. Depofacies model was constructed for channel-levee reservoirs based on depositional facies maps inferred from high-resolution seismic sequence stratigraphic analysis, and seismic sedimentology analysis of spectral decomposition seismic attribute. Given the poor relationship between facies and seismic quantitative interpretation results, two static model scenarios were constructed. In the first scenario, due to the limitation of well data especially in levee-overbank, integration of 2D trends from geological analogues was used to govern the net and non-net electro-facies proportion for a realistic base-case net-to-gross. In the second scenario, additional steps were performed to generate sand distribution trends from 3D process-based turbidite modelling as a 2D secondary constrain and incorporated into the electro-facies modelling." @default.
- W4320807701 created "2023-02-15" @default.
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- W4320807701 date "2022-01-01" @default.
- W4320807701 modified "2023-09-24" @default.
- W4320807701 title "Derisking Well Placement through Innovative Geological Driven Modeling for Greenfield Deepwater Turbidite in NW of Borneo" @default.
- W4320807701 doi "https://doi.org/10.3997/2214-4609.202273026" @default.
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