3D geo-cellular static virtual outcrop model and its implications for reservoir petro-physical characteristics and heterogeneities

Geostatistical data plays a vibrant role for surface-based reservoir modeling through outcrop analogues, which is used to understand three-dimensional (3D) variability of petrophysical properties. The main purpose this study improvise the 3D geo-modeling demonstrate characteristics and heterogeneities Sandakan reservoirs, NW Borneo. We point cloud from Light Detection Ranging (LiDAR) build high-resolution virtual (VOM) onto we mapped 6 different lithofacies. Porosity permeability core plugs were measured determine average variance properties each By utilizing integration VOMs analogues in Petrel™, demonstrated distribution associations all lithofacies pseudo wells that have inherent thin beds geo-cellular model. results concluded heterogeneity dependent on porosity with input dataset. According final model, cross-bedding sandstone (CBS), hummocky cross-stratified (HCSS) trough (TCBS) show good quality due high ranging from: 25.6% 20.4% and, 19.3%–14.5%, 74.03 mD 66.84 64.86 21.01 mD. In contrast, massive weak laminae (MWLS) bioturbated (BS) fair poor quality, caused baffling surrounding mud sediments Results also revealed LiDAR based VOM can significantly reduce risk minimize cost petroleum industry.