The process of short-term water and gas flood optimization attempts to increase short term profit, while maximizing long term net present value (NPV) of the field. The characteristics of each production system would dictate how this process is achieved. Fields where the available producer well potential is significantly larger than the production quota could have infinite possible scenarios of production and injection well settings that would satisfy the field and reservoir production targets. But which of these scenarios maximize the long term NPV?
This paper explains the framework being implemented in ADNOC to streamline the optimization workflow, which runs both physics and data driven models, honours all constraints, and covers the associated processes from model maintenance, to calculation, execution, and monitoring. The workflows are orchestrated with a series of in-house interconnected digital solutions. This framework has been implemented in 5 production systems undergoing pattern injection of water, gas, and CO2. The associated digital solutions are well adopted by the asset teams.
Ability to optimize production and injection together has allowed the asset to focus on increasing injection capacity as the pattern, sector, and reservoir voidage constraints were identified to be the main constraint to production deliverability. The optimization scenario management and associated workflows have shown to deliver a gain of 1-3% of production by synchronizing the reservoir management process with the production operations business rhythm. The solutions have delivered so far more than 150 MM$ in value.