Integrated well pad development scheduling with steam injection control in steam-assisted gravity drainage |
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| Affiliation: | 1. Ruhr-Universität Bochum, Automatic Control and Systems Theory, Universitätsstr. 150, Bochum 44780, Germany;2. Ruhr-Universität Bochum, Energy Plant Technology, Universitätsstr. 150, Bochum 44780, Germany;1. Universidade Tecnológica Federal do Paraná (UTFPR), Graduate Program in Electrical and Computer Engineering (CPGEI), 80230-901, Curitiba, Paraná, Brazil;2. Instituto Federal de Santa Catarina (IFSC), 89466-312, Canoinhas, Santa Catarina, Brazil;3. Petróleo Brasileiro S.A. (PETROBRAS), Edifício Consolação (EDICON), 01304-001, São Paulo, Brazil;4. Petróleo Brasileiro S.A. (PETROBRAS), Leopoldo Américo Miguez de Mello Research and Development Center (CENPES), 21941-915, Rio de Janeiro, Brazil;1. Delft University of Technology, 2628CD, Delft, The Netherlands;1. Ningbo Institute of Technology, Zhejiang University 315100, Ningbo, China;2. Ningbo University of Finance and Economics, Ningbo 315175, China;3. College of Electronics and Information, Xi’an Polytechnic University, 710048, Xi’an, Shaanxi, China |
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| Abstract: | In this paper, we study the problem of integrated well pad development scheduling with nonlinear model predictive control based steam injection in steam-assisted gravity drainage (SAGD). The scheduling problem has been modeled as a mixed-integer program to find optimal development sequence and timing of multiple well-pads. Model predictive control problems are solved to find optimal steam injection profile such that the reservoir is under control. The integrated problem is solved using open-loop and closed-loop methods: (1) scheduling problem is only solved at the beginning of project operation, (2) Scheduling problem is solved every year with shrinking horizon implementation, and (3) shrinking horizon implementation of scheduling with reservoir model update based on feedback from control level. Simulation results demonstrate the benefits of closed-loop integrated scheduling and control: the NPV increase is 19%. |
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