Multi-data reservoir history matching for enhanced reservoir forecasting and uncertainty quantification

by K. Katterbauer, S. Arango, S. Sun, I. Hoteit
Year:2015

Bibliography

Multi-data reservoir history matching for enhanced reservoir forecasting and uncertainty quantification
K. Katterbauer, S. Arango, S. Sun, and I. Hoteit
Journal of Petroleum Science and Engineering, 128, 160-176, 2015

Abstract

​Reservoir simulations and history matching are critical for fine-tuning reservoir production strategies, improving understanding of the subsurface formation, and forecasting remaining reserves. Production data have long been incorporated for adjusting reservoir parameters. However, the sparse spatial sampling of this data set has posed a significant challenge for efficiently reducing uncertainty of reservoir parameters. Seismic, electromagnetic, gravity and InSAR techniques have found widespread applications in enhancing exploration for oil and gas and monitoring reservoirs. These data have however been interpreted and analyzed mostly separately, rarely exploiting the synergy effects that could result from combining them. We present a multi-data ensemble Kalman filter-based history matching framework for the simultaneous incorporation of various reservoir data such as seismic, electromagnetics, gravimetry and InSAR for best possible characterization of the reservoir formation. We apply an ensemble-based sensitivity method to evaluate the impact of each observation on the estimated reservoir parameters. Numerical experiments for different test cases demonstrate considerable matching enhancements when integrating all data sets in the history matching process. Results from the sensitivity analysis further suggest that electromagnetic data exhibit the strongest impact on the matching enhancements due to their strong differentiation between water fronts and hydrocarbons in the test cases.

DOI: 10.1016/j.petrol.2015.02.016

Keywords

4D Reservoir Monitoring Ensemble Kalman Filter History Matching Sensitivity Analysis
KAUST

"KAUST shall be a beacon for peace, hope and reconciliation, and shall serve the people of the Kingdom and the world."

King Abdullah bin Abdulaziz Al Saud, 1924 – 2015

Contact Us

  • 4700 King Abdullah University of Science and Technology

    Thuwal 23955-6900, Kingdom of Saudi Arabia

    Al-Khwarizmi Building (1)

© King Abdullah University of Science and Technology. All rights reserved