Inverse methods for estimating fracture transmissibilities in porous media

Monday, October 22, 2018 - 4:10pm - 5:00pm
Keller 3-180
Clint Dawson (The University of Texas at Austin)
Fractures are common in real porous media and their transmissibilities can greatly effect flow patterns and hydrocarbon
recovery. Estimating these transmissibilities from limited data can be challenging. In this talk, we focus on a measure-theoretic inverse method used to determine the most likely values of transmissibilities based on data measured at wells. We will discuss a non-intrusive approach that only requires sampling a forward model. Numerical results for two-phase flow will be discussed.