Abstract
Abstract Planning a carbon capture and storage (CCS) project that meets economic criteria and minimizes risk requires a systematic analysis of the full-value chain, including capture, transport, storage, formation characteristics, well number and type, formation integrity, well integrity, and monitoring, as well as abandonment, government regulations, and public constraints. The complex process of planning a CCS project that meets multiple objectives and honors multiple constraints involves a large number and variety of decisions. This paper describes the use of front-end loading (FEL) and a fully-integrated asset model (IAM) to address these issues. It includes a study example of a coal-fired power plant and assessment of multiple storage sites, including saline aquifer and enhanced oil recovery candidates.
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