Multiobjective and Level Set Methods for Reservoir Characterization and Optimization
Proper management of oil and gas reservoirs as dynamic systems reduces operational expenditures, alleviates uncertainty, and increases hydrocarbon recovery. In this dissertation, we focus on two issues in reservoir management: multiobjective integration and channelized reservoir calibration. Multipl...
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fttexasamuniv:oai:oaktrust.library.tamu.edu:1969.1/157139 2023-07-16T03:59:39+02:00 Multiobjective and Level Set Methods for Reservoir Characterization and Optimization Han, Jichao Datta-Gupta, Akhil King, Michael Gildin, Eduardo Efendiev, Yalchin 2016-07-08T15:17:50Z application/pdf https://hdl.handle.net/1969.1/157139 en eng https://hdl.handle.net/1969.1/157139 Multiobjective Optimization Level Set Method Pareto-Based Method Channelized Reservoir Parameterization Thesis text 2016 fttexasamuniv 2023-06-27T22:56:35Z Proper management of oil and gas reservoirs as dynamic systems reduces operational expenditures, alleviates uncertainty, and increases hydrocarbon recovery. In this dissertation, we focus on two issues in reservoir management: multiobjective integration and channelized reservoir calibration. Multiple objectives, including bottom-hole pressure (BHP), water cut, and 4-D seismic data, are utilized in model ranking, history matching, and production optimization. These objectives may conflict, as they represent characteristics coming from different measurements and sources, and, significantly, of varying scales. A traditional weighted-sum method may reduce the solution space, often leading to loss of key information for each objective. Thus, how to integrate multiple objectives effectively becomes critical in reservoir management. This dissertation presents a Pareto-based approach to characterize multiobjective and potentially conflicting features and to capture geologic uncertainty, preserving the original objective space and avoiding weights determination as in the weight-sum method. For channelized reservoirs, identification of the channel geometry and facies boundaries, as well as characterization of channel petrophysical properties are critical for performance predictions. Traditional history matching methods, however, are unable to preserve the channel geometry. We propose a level set based method, integrated with seismic constraint and coupled with the Grid Connectivity Transform (GCT) for channelized reservoirs calibration. We first develop the Pareto-based model ranking (PBMR) to rank multiple realizations, taking into consideration seismic and production data. We demonstrate that this approach can be applied to select multiple competitive realizations compared with the weighted-sum method, and uncertainty range of each objective can be effectively addressed. Next, we extend the Pareto-based framework to full-field history matching and production optimization of the Norne Field in the North Sea. A ... Thesis Norne field Texas A&M University Digital Repository |
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Texas A&M University Digital Repository |
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English |
topic |
Multiobjective Optimization Level Set Method Pareto-Based Method Channelized Reservoir Parameterization |
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Multiobjective Optimization Level Set Method Pareto-Based Method Channelized Reservoir Parameterization Han, Jichao Multiobjective and Level Set Methods for Reservoir Characterization and Optimization |
topic_facet |
Multiobjective Optimization Level Set Method Pareto-Based Method Channelized Reservoir Parameterization |
description |
Proper management of oil and gas reservoirs as dynamic systems reduces operational expenditures, alleviates uncertainty, and increases hydrocarbon recovery. In this dissertation, we focus on two issues in reservoir management: multiobjective integration and channelized reservoir calibration. Multiple objectives, including bottom-hole pressure (BHP), water cut, and 4-D seismic data, are utilized in model ranking, history matching, and production optimization. These objectives may conflict, as they represent characteristics coming from different measurements and sources, and, significantly, of varying scales. A traditional weighted-sum method may reduce the solution space, often leading to loss of key information for each objective. Thus, how to integrate multiple objectives effectively becomes critical in reservoir management. This dissertation presents a Pareto-based approach to characterize multiobjective and potentially conflicting features and to capture geologic uncertainty, preserving the original objective space and avoiding weights determination as in the weight-sum method. For channelized reservoirs, identification of the channel geometry and facies boundaries, as well as characterization of channel petrophysical properties are critical for performance predictions. Traditional history matching methods, however, are unable to preserve the channel geometry. We propose a level set based method, integrated with seismic constraint and coupled with the Grid Connectivity Transform (GCT) for channelized reservoirs calibration. We first develop the Pareto-based model ranking (PBMR) to rank multiple realizations, taking into consideration seismic and production data. We demonstrate that this approach can be applied to select multiple competitive realizations compared with the weighted-sum method, and uncertainty range of each objective can be effectively addressed. Next, we extend the Pareto-based framework to full-field history matching and production optimization of the Norne Field in the North Sea. A ... |
author2 |
Datta-Gupta, Akhil King, Michael Gildin, Eduardo Efendiev, Yalchin |
format |
Thesis |
author |
Han, Jichao |
author_facet |
Han, Jichao |
author_sort |
Han, Jichao |
title |
Multiobjective and Level Set Methods for Reservoir Characterization and Optimization |
title_short |
Multiobjective and Level Set Methods for Reservoir Characterization and Optimization |
title_full |
Multiobjective and Level Set Methods for Reservoir Characterization and Optimization |
title_fullStr |
Multiobjective and Level Set Methods for Reservoir Characterization and Optimization |
title_full_unstemmed |
Multiobjective and Level Set Methods for Reservoir Characterization and Optimization |
title_sort |
multiobjective and level set methods for reservoir characterization and optimization |
publishDate |
2016 |
url |
https://hdl.handle.net/1969.1/157139 |
genre |
Norne field |
genre_facet |
Norne field |
op_relation |
https://hdl.handle.net/1969.1/157139 |
_version_ |
1771547759182086144 |