Research and Application of Carbon Capture, Utilization, and Storage–Enhanced Oil Recovery Reservoir Screening Criteria and Method for Continental Reservoirs in China

Jinhong Cao, Ming Gao (), Zhaoxia Liu, Hongwei Yu, Wanlu Liu and Hengfei Yin
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Jinhong Cao: University of Chinese Academy of Sciences, Beijing 100049, China
Ming Gao: Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China
Zhaoxia Liu: Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China
Hongwei Yu: Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China
Wanlu Liu: Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China
Hengfei Yin: Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China

Energies, 2024, vol. 17, issue 5, 1-23

Abstract: CCUS-EOR is a crucial technology for reducing carbon emissions and enhancing reservoir recovery. It enables the achievement of dual objectives: improving economic efficiency and protecting the environment. To explore a set of CCUS-EOR reservoir screening criteria suitable for continental reservoirs in China, this study investigated and compared the CCUS-EOR reservoir screening criteria outside and in China, sorted out the main reservoir parameters that affect CO 2 flooding, and optimized the indices and scope of CCUS-EOR reservoir screening criteria in China. The weights of parameters with respect to their influences on CCUS-EOR were determined through principal component analysis. The results show that there are 14 key parameters affecting CO 2 flooding, which can be categorized into four levels. For the first level, the crude oil-CO 2 miscibility index holds the greatest weight of 0.479. It encompasses seven parameters: initial formation pressure, current formation pressure, temperature, depth, C 2 –C 15 molar content, residual oil saturation, and minimum miscibility pressure. The second level consists of the crude oil mobility index, which has a weight of 0.249. This index includes four parameters: porosity, permeability, density, and viscosity. The third level pertains to the index of reservoir tectonic characteristics, with a weight of 0.141. It comprises two parameters: permeability variation coefficient and average effective thickness. Lastly, the fourth level focuses on the index of reservoir property change, with a weight of 0.131, which solely considers the pressure maintenance level. Based on the CCUS-EOR reservoir screening criteria and index weights established in this study, comprehensive scores for CCUS-EOR were calculated for six blocks in China. Among these, five blocks are deemed suitable for CCUS-EOR. Based on the comprehensive scoring results, a planning for field application of CCUS-EOR is proposed. The study provides a rational method to evaluate the CCUS-EOR reservoir screening and field application in continental reservoirs in China.

Keywords: CCUS-EOR; CO 2 flooding; continental reservoir; screening criteria; principal component analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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