CO2 plume geothermal (CPG) offers the dual benefit of renewable power generation and permanent geological sequestration within the broader carbon-capture-utilization- and-storage (CCUS) portfolio, yet its commercial outlook remains constrained by multiple interacting uncertainties. To address these challenges, we introduce—for the first time in a CPG context—the well-reservoir-facility-management (WRFM) framework and apply it at two distinct deployment scales to optimize reservoir-development strategies. For a doublet-well system, we first characterize the baseline productivity of stacked reservoirs and quantify the influence of interlayer contrast. The subsequent optimization phase centers on the mid- and late-life comparison of sidetracking versus zonal isolation recompletion strategies, evaluating their respective technical merits and economic returns. For a multi-well system, we implement a Gaussian-process-surrogate Bayesian optimization to refine injection strategies across multiple injectors. This approach markedly reduces the computational burden, enabling cost-efficient resolution of field-scale injection-rate allocation—a persistent reservoir management challenge. Post-processing of the optimization results provides quantitative guidance and theoretical support for the large-scale deployment of CPG through comparative analysis of alternative injection schemes.