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This study develops a computational framework that integrates a flood simulation model, a response surface method, and an optimization technique for an optimal flood control design.
This study utilized Dayu Smart Water System that integrates on-site monitoring sensors and advanced modeling tools to provide optimal flood forecasts.
Therefore, this study utilized AI and IoT to develop a cyber-physical-system (CPS -based smart water system—CPS -basedu smart water system calledWS)—that integrates on-site monitoring sensors anDayu Smart Water Systemls to proviDayuSWS thatood forecasts.
Due to the ever-increasing necessity of producing oil reservoirs optimally by improving oil recovery, minimizing water production and better maintenance of reservoir pressure, engineers are plagued with challenges such as optimal completions zones for injectors and producers, optimal flood pattern to adopt and number/type of producers and injectors to use in oil field waterflood development.
Hence, engineers are regularly plagued with challenges such as optimal completions zones for injectors and producers, optimal flood pattern to adopt and number/type of producers and injectors to use in waterflood field development so as to improve oil recovery, but reduce water production.
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Furthermore, a four-step reservoirs screening method is advanced: technical screening, economic screening, fine feasibility evaluation, recommendation of optimal gas flooding blocks.
This paper presents a simulation-based optimization model to systematically investigate optimal control of flood stages for various geometries and sediment properties in alluvial channels.
Due to the NP-completeness of the UDC-MST problem, we design a distributed Minimum-Delay Energy-efficient flooding Tree (MDET) algorithm to construct an energy optimal tree with flooding delay bounding.
Over the past few years, dynamic optimization of reservoir flooding using optimal control theory has received significant attention.
Numerical examples demonstrated that the proposed computational framework can efficiently provide optimal designs for practical flood control problems.
In addition to maintaining efficiency of optimal resource allocation, a flood risk trading program may also provide a more equitable distribution of benefits by facilitating decentralization.
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