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Accurate Prediction of Heterogeneity in Fluvial Reservoirs

Accurate Prediction of Heterogeneity in Fluvial Reservoirs
Accurate Prediction of Heterogeneity in Fluvial Reservoirs

Supervisors - Prof. Adrian Hartley, University of Aberdeen and Dr. Andrew Gardiner, Heriot-Watt University

PhD Student - Alistair Swan, University of Aberdeen

Status - Closed

The objective is to produce pseudo-3D LiDAR models for proximal to medial deposits (90 to 50% net to gross) that provide reservoir body dimensions, connectivity and salient properties including permeability barrier sizes and shape. Outcrop models can then be calibrated against subsurface models with similar net to gross proportions and could provide training images for subsequent reservoir model builds. We have identified a number of outcrops in the Jurassic Morrison formation of SW Utah, the Eocene Willwood Formation of Wyoming and the proximal part of the Miocene succession in the Ebro Basin, Spain, which are considered analogues to high net fluvial reservoirs such as the Clair Field reservoir and the Triassic Skagerrak reservoir. The aim is to move towards quantifying the range and scale of heterogeneity that occur in fluvial systems with the recognition that different sand body sizes and geometries occur in different parts of a DFS, allowing better use of existing database approaches to fluvial model building by constraining particular width:thickness ratios to occur in specific parts of a DFS.