In this work, we provide a more consistent alternative for performing value of information (VOI) analyses to address sequential decision problems in reservoir management and generate insights on the process decision-making. These are often solved modeled as stochastic dynamic programs, but once state space becomes large complex, traditional techniques, such policy iteration backward induction, ...
