CO_(2)地质封存三维地质结构建模与表征研究进展

RESEARCH PROGRESS OF 3D GEOLOGICAL STRUCTURE MODELING AND CHARACTERIZATION METHODS FOR CO_(2) GEOLOGICAL SEQUESTRATION

碳捕集、利用与封存(CCUS)技术在快速、大规模地减排二氧化碳和实现我国"碳达峰"和"碳中和"的"双碳"目标等方面具有非常重要的应用价值。CCUS技术的成功实施离不开对目标封存场址的储层、盖层及地质结构的精细描述与定量刻画,因此,亟需对CO_(2)地质封存场址的三维地质结构进行精细化建模和透明化表征。本文简要阐述了三维地质建模技术在CCUS工程应用中的研究进展,归纳了适用于CCUS技术的三维地质结构透明化表征方法和流程,指出了目前三维地质建模精度和效率等与CCUS实践需求不适应的问题,并提出了针对性的建议,为推动我国CCUS领域三维地质建模和结构表征方法的研究与软件开发提供了重要的理论和技术支撑。

Currently,carbon capture,utilization,and storage(CCUS)technology is recognized as the most direct,safe,and efficient technology option to rapidly and massively reduce carbon dioxide(CO_(2)),which is conducive to achieving a win-win situation among economic development,energy exploitation and utilization,environmental protection and sustainable development.CCUS also plays a very important role in realizing the goals of"carbon peak"and"carbon neutralization".CO_(2) geological sequestration project is to pump a large number of supercritical CO_(2) fluids into a suitable reservoir-cap system deep underground for long-term stable sequestration.To successfully implement the CCUS technology,it is necessary to precisely and quantitatively describe the reservoir,caprock,and geological structure of the target sequestration site.Therefore,it is urgent to conduct precise modeling and transparent characterization of the three-dimensional geological structure of the CO_(2) sequestration site.This paper briefly states the research progress of 3D geological modeling technology in the application of CCUS and summarizes the transparent characterization methods and processes of 3D geological structures for CCUS technology.In addition,some specific suggestions are put forward to address the mismatch between the accuracy and efficiency of 3D geological modeling and the practical requirements of CCUS.It is pointed out that the technology,method,and software for 3D geological modeling in the field of oil and gas reservoir engineering are also suitable for CO_(2) geological sequestration,which has already been widely used in the evaluation and assessment of CO_(2) geological sequestration potential,storage safety and leakage risk,geological suitability and site selection,monitoring of CO_(2)migration range,and induced fault activation risk.And combining the two modeling approaches,the data-driven approach and the concept-driven approach,to realize the dynamic update and correction of geological data and geological concepts can make the 3D geological model gradually approximate the actual geological conditions.Furthermore,the application of big data analysis,high-performance computing,machine learning algorithms,and other technologies for data analysis and processing can greatly improve the efficiency of modeling from the aspects of data processing,property assignment,grid division,cross-scale fusion,and so on.This paper provides important theoretical and technical support for promoting the research of 3D geological modeling and structural characterization methods and software development in the field of CCUS.