The progress and development trends of CCUS-EOR monitoring and early warning technology
Author of the article:TAN Chaodong1,2, YAN Kexin2, LIU Tianyu3, LI Qiushi4, CHENG Shidong3, FENG Gang5
Author's Workplace:1. College of Artificial Intelligence, China University of Petroleum-Beijing, Beijing, 102249, China; 2. College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing, 102249, China; 3. Oil and Gas Technology Research Institute, PetroChina Changqing Oil Field Branch, Xi'an, Shaanxi, 710018, China; 4. Digital and Intelligent Business Unit, PetroChina Changqing Oil Field Branch, Xi'an, Shaanxi, 710018, China; 5. Xi'an Supcon World Technology Development Co., Ltd., Xi'an, Shaanxi, 710018, China
Key Words:CCUS-EOR; Monitoring system; Early warning system; Technology progress; Suggestion
Abstract:
Carbon Capture,
Utilization and Storage-Enhanced
Oil Recovery (CCUS-EOR) is currently the most pragmatic, effective, and
feasible carbon emission reduction technology, but there are risk of CO2
leakage during the actual operation of the project. In order to ensure the
effectiveness of CO2 flooding and safety of the system, it is necessary to
monitor, evaluate and provide an early warning for the entire process
operations including CO2 injection, oil displacement, CO2 storage, oil
recovery, gathering and transportation, CO2 reinjection, etc. Through the
literature research on more than 100 domestic and international CCUS-EOR
projects, the characteristics, application scenarios and problems of various
monitoring techniques are systematically analyzed. The progress of CCUS
monitoring and early warning technology, both at home and abroad, is summarized
from the perspectives of monitoring system and key technologies. At the same
time, the development trends of CCUS-EOR monitoring and early warning
technology are identified. Finally, suggestions are put forward in order to
promote the development of CCUS-EOR, including developing an improved and
refined monitoring system, developing key equipment, deepening the research of
digital intelligence technology, and building an industrial internet platform.