4D Seismic History Matching Using the Ensemble Kalman Filter (EnKF): Possibilities and Challenges, 2010
Title of thesis: 4D Seismic History Matching Using the Ensemble Kalman Filter (EnKF): Possibilities and Challenges, 2010
Name of PhD student : Abul Fahimuddin
Advisors: Trond Mannseth
Short description of project:
This research endeavor presents a 4D seismic history matching work flow based on the ensemble Kalman filter (EnKF) methodology. The objective of this work is to investigate the sensitivity of different combinations of production and seismic data on EnKF model updating. In particular, we are interested to quantify the performance of EnKF-based model updating experiments with respect to production and seismic data matching as well as to estimate uncertain reservoir parameters, e.g., porosity and permeability.
Link to thesis at BORA-UiB: Link