LiDAR mapping connectivity in fractured and deep-weathered bedrock : implications for fluid migration and storage
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- Institutt for geografi 
The precision of high resolution LiDAR data provides a unique opportunity to map geologic features in detail. ArcGIS and 1-m resolution LiDAR data lays down the foundation for detailed geological mapping and understanding. LiDAR data covering the Bømlo area, western Norway, allows generating of a high-resolution digital elevation model (DEM). After the vegetation is filtered away, only bedrock and soils are visible. The 1-m DEM is an excellent asset for image enhancement in GIS to calculate connectivity and surface volumes of the landscape. The study involves GIS image enhancement to extract linear elements (bedrock fractures). Thereafter the extracted bedrock elements are used to calculate connectivity, effective distance and transport pathways for hypothetical hydrocarbons or other fluids. The DEM is also used in GIS to calculate past saprolite volumes which have now been eroded away. Consequently, hypothetical hydrocarbon and fluid reservoir volume is calculated by using the standard porosity (approximately 25%) of saprolite. Finally, the transport capacity of hydrocarbons through saprolite is estimated using the calculated bedrock connectivity and the surface volume. Based on such estimation, this master thesis aims at tackling the reservoir management problem by developing a framework of how to use and evaluate LiDAR data and Geographical Information System (GIS) for future work.