Journal ArticleDOI
New method for reservoir characterization and optimization using CRM–EnOpt approach
Nelia Jafroodi,Dongxiao Zhang +1 more
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TLDR
In this paper, the EnOpt/CRM model is used to model, update, and optimize large waterflooding operations based on the capacitance resistive model (CRM) underlying dynamical system.About:
This article is published in Journal of Petroleum Science and Engineering.The article was published on 2011-05-01. It has received 34 citations till now. The article focuses on the topics: Reservoir modeling.read more
Citations
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The Ensemble Kalman Filter: Theoretical formulation and practical implementation
TL;DR: The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it as mentioned in this paper, and also presents new ideas and alternative interpretations which further explain the success of the EnkF.
Journal ArticleDOI
A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting
TL;DR: Capacitance resistance models (CRMs) are a family of material balance reservoir models that have been applied to primary, secondary and tertiary recovery processes as mentioned in this paper, which can accelerate the learning curve of the geological analysis by providing interwell connectivity maps to corroborate features such as sealing faults and channels.
Journal ArticleDOI
Optimization of miscible CO2 EOR and storage using heuristic methods combined with capacitance/resistance and Gentil fractional flow models
TL;DR: In this article, the authors employed the capacitance-resistance model (CRM) for characterization of inter-well interactions in two reservoir models, which experience miscible CO 2 injection for combined EOR and storage purposes.
Journal ArticleDOI
Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms
Jackson Udy,Brigham Hansen,Sage Maddux,Donald Petersen,Spencer Heilner,Kevin Stevens,David O. Lignell,John D. Hedengren +7 more
TL;DR: This paper presents a review of history matching and oil field development optimization techniques with a focus on optimization algorithms including global and local methods.
Journal ArticleDOI
Comparison and Analysis of Data Assimilation Algorithms for Predicting the Leaf Area Index of Crop Canopies
Yingying Dong,Jihua Wang,Cunjun Li,Guijun Yang,Qian Wang,Feng Liu,Jinling Zhao,Huifang Wang,Wenjiang Huang +8 more
TL;DR: A new data assimilation algorithm is proposed that is better than CERES-Wheat model, EnKF algorithm, and 4DVAR algorithm, with a lesser RMSE, and for the subset LAI, higher estimation precision and greater efficiency of the new algorithm are obtained.
References
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Journal ArticleDOI
The Ensemble Kalman Filter: theoretical formulation and practical implementation
TL;DR: A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias, and an ensemble based optimal interpolation scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications.
The Ensemble Kalman Filter: Theoretical formulation and practical implementation
TL;DR: The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it as mentioned in this paper, and also presents new ideas and alternative interpretations which further explain the success of the EnkF.
Journal ArticleDOI
A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
TL;DR: In this article, an ensemble Kalman filter is proposed for the 4D assimilation of atmospheric data, which employs a Schur (elementwise) product of the covariances of the background error calculated from the ensemble and a correlation function having local support to filter the small (and noisy) background-error covariance associated with remote observations.
Book
Applied Petroleum Reservoir Engineering
TL;DR: In this paper, the General Material Balance Equation (GMBE) is used to describe the fluid flow in Reservoirs, and the Displacement of Oil and Gas.
Journal ArticleDOI
Efficient Ensemble-Based Closed-Loop Production Optimization
TL;DR: In this article, an ensemble-based closed-loop optimization method that combines a novel ensemblebased optimization scheme (EnOpt) with the ensemble Kalman filter (EnKF) was proposed.