Uncertainty Quantification Using Streamline Based Inversion and Distance Based Clustering
Author:
Affiliation:
1. Department of Energy Resources Engineering, Seoul National University, Seoul 151-744, Korea e-mail:
2. Department of Energy System Engineering, Seoul National University, Seoul 151-744, Korea e-mail:
Abstract
Publisher
ASME International
Subject
Geochemistry and Petrology,Mechanical Engineering,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment
Link
http://asmedigitalcollection.asme.org/energyresources/article-pdf/doi/10.1115/1.4031446/6147673/jert_138_01_012906.pdf
Reference22 articles.
1. Quantification of Uncertainty in Reserve Estimation From Decline Curve Analysis of Production Data for Unconventional Reservoirs;ASME J. Energy Resour. Technol.,2008
2. Uncertainty Analyses of Basement Fracture Reservoir Performances Using Proxy Models With High-Quality History Matching;Energy Explor. Exploit.,2013
3. Feasibility Study and Economic Analyses for the Marginal Field Development Using Proxy Models Under Uncertainty of Reservoir Characterization;Energy Explor. Exploit.,2013
4. The Ensemble Kalman Filter for Continuous Updating of Reservoir Simulation Models;ASME J. Energy Resour. Technol.,2005
5. Streamline Assisted Ensemble Kalman Filter for Rapid and Continuous Reservoir Model Updating;SPE Reservoir Eval. Eng.,2008
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