A simplified method for petroleum reservoir history matching
نویسندگان
چکیده
منابع مشابه
A Novel Assisted History Matching Workflow and its Application in a Full Field Reservoir Simulation Model
The significant increase in using reservoir simulation models poses significant challenges in the design and calibration of models. Moreover, conventional model calibration, history matching, is usually performed using a trial and error process of adjusting model parameters until a satisfactory match is obtained. In addition, history matching is an inverse problem, and hence it may have non-uni...
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To perform any economic management of a petroleum reservoir in real time, a predictable and/or updateable model of reservoir along with uncertainty estimation ability is required. One relatively recent method is a sequential Monte Carlo implementation of the Kalman filter: the Ensemble Kalman Filter (EnKF). The EnKF not only estimate uncertain parameters but also provide a recursive estimat...
متن کاملHistory matching of petroleum reservoir models by the Ensemble Kalman Filter and parameterization methods
The Ensemble Kalman Filter (EnKF) has been successfully applied in petroleum engineering during the past few years to constrain reservoir models to production or seismic data. This sequential assimilation method provides a set of updated static variables (porosity, permeability) and dynamic variables (pressure, saturation) at each assimilation time. However, several limitations can be pointed o...
متن کاملA Parallel Stochastic Framework for Reservoir Characterization and History Matching
1 Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA 2 Chevron ETC, San Ramon, CA 94583, USA 3 ConocoPhillips, Houston, TX 77252, USA 4 Institute for Computational Engineering and Sciences, Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA 5 Department of Petroleum a...
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History matching is used to constrain flow simulations and reduce uncertainty in forecasts. In this work, we revisited some fundamental engineering tools for predicting waterflooding behavior to better understand the flaws in our simulation and thus find some models which are more accurate with better matching. The Craig-Geffen-Morse (CGM) analytical method was used to predict recovery performa...
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ژورنال
عنوان ژورنال: Applied Mathematical Modelling
سال: 1984
ISSN: 0307-904X
DOI: 10.1016/0307-904x(84)90163-x