Learning Outcomes:
On completion of the module students should have:
1. A working knowledge of ArcGIS, Petrel and Leapfrog software in order to view and interpret surface and subsurface data.
2. The ability to build a structural-stratigraphic model based on integration and interpretation of a variety of types of subsurface data.
Indicative Module Content:
Practicals 1-3: GIS training.
The first practicals of this module provide an introduction to ArcGIS Pro and the fundamentals of GIS software. These introductory practicals are designed as an introduction or refresher for the use of ArcGIS Pro software and digital data management, skills that will be used in numerous modules throughout the course.
Practicals 4-13: Petrel modelling project.
Building of a structural framework model for a reservoir interval based on 3D seismic and well data as may be required for a range of applied subsurface industry projects. The project will involve mapping faults and seismic horizons to produce a consistent stratigraphic and structural model that honours the data. The structural framework model will then be used to create a gridded model in order to compute gross rock volume and fluid volumes. The key modelling uncertainties will be considered.
Practicals 14-22: Leapfrog modelling project
Building of a structural-stratigraphic model within a sedimentary basin with magmatic-volcanic elements, based on drillhole and geological mapping data. This will involve QA/QC of different types of data, and the combining, compositing, and processing of drillhole log databases. These data will be used to explore different horizon and volume modelling strategies and to create 3D interpretations of structural and stratigraphic elements. Ultimately these elements will be used to build a 3D structural-stratigraphic model, using both explicit and implicit modelling techniques. The basics of visualisation and interrogation of volumetric cell-based data (e.g. mineral resource estimates, block models) will be explored, as well as spatial querying of property data, such as geochemical assays.