Mixed-Integer Nonlinear Programming Model for Optimal Field Management for Carbon Capture and Storage

This work proposes a multiperiod mixed-integer nonlinear programming (MINLP) model to optimize the complex operations of CO2 buffering in tanks, transport through pipe networks, and storage in depleted reservoirs via injection wells. The main objective of this work is to propose an optimization model that minimizes the overall investment and operation-related costs while meeting the target injection rate. A shrinking time horizon approach and greedy heuristic algorithms are applied to decompose the problem to further reduce the computational time. The results obtained from the proposed MINLP optimization model have shown that it is a useful and computationally effective tool for optimal field management for a long-term carbon capture and storage project.