期刊
GREENHOUSE GASES-SCIENCE AND TECHNOLOGY
卷 4, 期 3, 页码 289-315出版社
WILEY PERIODICALS, INC
DOI: 10.1002/ghg.1414
关键词
CO2 sequestration and storage; fast track modeling; pattern recognition; numerical simulation; surrogate reservoir models (SRMs)
资金
- US Department of Energy (DOE) National Energy Technology Laboratory (NETL)
- U.S. Department of Energy through the National Energy Technology Laboratory (NETL) via the Regional Carbon Sequestration Partnership Program [DE-FC26-05NT42588]
- Illinois Department of Commerce and Economic Opportunity, Office of Coal Development through the Illinois Clean Coal Institute
Capturing carbon dioxide (CO2) from large point sources and depositing it in a geological formation is an efficient way of decreasing CO2 concentration in the atmosphere. A comprehensive study is required to perform a safe and efficient CO2 capture and storage (CCS) project. The study includes different steps, such as selecting proper underground storage and keeping track of CO2 behavior in the storage environment. Numerical reservoir simulators are the conventional tools used to implement such an analysis. The intricacy of simulating multiphase flow, having a large number of time steps required to study injection and post-injection periods of CO2 sequestration, a highly heterogeneous reservoir, a large number of wells, etc., will lead to a complicated reservoir model. A single realization for such a reservoir takes hours to run. Additionally, a thorough understanding of the CO2 sequestration process requires multiple realizations of the reservoir model. Consequently, using a conventional numerical simulator makes the computational cost of the analysis too high to be practical. In this paper, we examine the application of a relatively new technology, the Surrogate Reservoir Model (SRM), as an alternative tool to solve the aforementioned problems. SRM is a replica of full-field reservoir simulation models. It can generate outputs in a very short time with reasonable accuracy. These characteristics make SRM a unique tool in CO2 sequestration modeling. This paper proposes developing an SRM for a CO2 sequestration project ongoing in the SACROC unit to model pressure behavior and phase saturation distributions during different time steps of the CO2 storage process. (C) 2014 Society of Chemical Industry and John Wiley & Sons, Ltd
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