10.11440070019_si_003.mov (169.16 MB)
3. Nukul syncline, Gulf of Suez (Hodgetts et al.)
mediaposted on 2020-01-14, 11:09 authored by K.J.W. McCaffrey, D. Hodgetts, J. Howell, D. Hunt, J. Imber, R.R. Jones, M. Tomasso, J. Thurmond, S. Viseur
The authors have developed bespoke software called Virtual Reality Geological Studio (VRGS) which can be used for the interpretation and integration of traditional forms of data with the lidar scan data (Fig. 2). The development of this software was driven by the lack of geoscience-specific software that allows full use of the scan data. In outcrop data it is often difficult to constrain geometries in 3D. Data is usually high-density in some areas, and sparse in others, leading to increased uncertainty. This may be the case for sediment bodies, faults or surfaces. In order to constrain these geometries as much information from the outcrop must be used as possible. In this study a large lidar dataset (over 100 linked and georeferenced scan positions) is used to derive information in addition to traditional fieldwork to help constrain hanging wall morphology (Fig. 2) in a syn-rift fault block comprising early Miocene strata in the Gulf of Suez. The resulting integrated dataset of both lidar and field-based observations has been used to build and condition a reservoir model in Petrel.