All Days 2012
DOI: 10.2118/150096-ms
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Closed-loop Feedback Control for Production Optimization of Intelligent Wells under Uncertainty

Abstract: Declaration of Originality I declare that this thesis, Closed-loop Feedback Control of Intelligent Wells under Uncertainty, is entirely my own work under the supervision of Prof. Matthew D. Jackson. The work was performed in the Department of Earth Science and Engineering at Imperial College London. All published and unpublished material used in the thesis has been given full acknowledgment. This work has not been previously submitted, in whole or in part, to any other academic institution for a degree, diplom… Show more

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Cited by 10 publications
(5 citation statements)
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“…In reality, conventional waterflooding schemes may not suffice in increasing the yield of produced oil due to a poor sweep efficiency [7]. So, to account for oil productivity, a system involving reservoir management lifecycle called Closed-Loop Reservoir Management (CLRM) is developed to tackle this production shortcoming [8]. CLRM basically involves the application of real time data and mathematical models to propagate the long and short term decision making strategies for new and existing oil reservoirs [8], [9].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In reality, conventional waterflooding schemes may not suffice in increasing the yield of produced oil due to a poor sweep efficiency [7]. So, to account for oil productivity, a system involving reservoir management lifecycle called Closed-Loop Reservoir Management (CLRM) is developed to tackle this production shortcoming [8]. CLRM basically involves the application of real time data and mathematical models to propagate the long and short term decision making strategies for new and existing oil reservoirs [8], [9].…”
Section: Introductionmentioning
confidence: 99%
“…So, to account for oil productivity, a system involving reservoir management lifecycle called Closed-Loop Reservoir Management (CLRM) is developed to tackle this production shortcoming [8]. CLRM basically involves the application of real time data and mathematical models to propagate the long and short term decision making strategies for new and existing oil reservoirs [8], [9]. CLRM primarily consist of two workflows; the first is history matching which relies on historical data assimilation; the second is the optimization of control inputs which relies on some optimization algorithms (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…Several authors are of the opinion that there should be a shift of paradigm to an efficient utilization of production measurements where control strategies are implemented in a closed-loop fashion (Brouwer, Naevdal, Jansen, Vefring, & van Kruijsdijk, 2004;Dilib & Jackson, 2013;Foss & Jensen, 2011;Jansen, Brouwer, & van Kruijsdijk, 2005;Sarma, Aziz, & Durlofsky, 2005). This led to studies on methodologies for automatic model updating (data assimilation) integrated with optimization of production systems in a closed-loop.…”
Section: Introductionmentioning
confidence: 99%
“…Similar to other work, the efficacy of the designed closed-loop was evaluated by comparing its performance to an open-loop based solution. In the work of Dilib and Jackson (2013), the robustness of their direct feedback relationship (formulated from a base model) was tested on more unexpected reservoir behaviours which include shape of relative permeability curves, horizontal permeability, width of shale-free zone and aquifer strength. Although more uncertainties were introduced in this work than the previous ones, the approach of performance evaluation is basically the same.…”
Section: Introductionmentioning
confidence: 99%
“…(Dilib and Jackson, 2012) tested the robustness of a predefined reactive control strategy with respect to reservoir description uncertainty of the case study. A reactive and (pseudo) proactive (essentially a predefined reactive) control strategy were compared by (Pinto et al, 2012) for a particular, rate-constraint case.…”
mentioning
confidence: 99%