A Bayesian Framework for Quantifying Fault Network Uncertainty Using a Marked Point Process Model

Incomplete observations of subsurface fault networks lead to uncertainty pertaining to location, geometry and existence of faults. In practice, gaps in incomplete fault network observations are filled based on tectonic knowledge and structural interpreter’s intuition pertaining to fault relationships. In this dissertation, a rigorous approach to quantifying fault network uncertainty is proposed. Fault pattern and intensity information pertaining to fault networks are expressed using a marked point process, namely a marked Strauss point process.

Speaker: Orhun Aydin (Thesis Defense)