A New Energy-Aware Method for Gas Lift Allocation in IoT-Based Industries Using a Chemical Reaction-Based Optimization Algorithm

The Internet of Things (IoT) has recently developed opportunities for various industries, including the petrochemical industry, that allow intelligent manufacturing with real-time management and analysis produced big data. In oil production, extracting reduces reservoir demand, causing supply to fall below economically viable level. Gas lift is a popular artificial system both efficient cost-effective. If gas supplies in process are not limited, sufficient amount may be injected into reach highest feasible production rate. Because limited gas, it essential achieve sustainable utilization our resources manage injection rate each well order enhance output while reducing injection. This study describes novel IoT-based chemical reaction optimization (CRO) technique solve allocation issue. CRO algorithm inspired by interaction molecules other achieving lowest possible state free energy from an unstable state. excellent flexibility, enabling operators modify solutions favorable trade-off between intensification diversity. A reasonably fast convergence serves as powerful motivator use solution. extensive simulation computational have presented proposed method using based on IoT systems significantly improves overall injection, consumption cost compared traditional algorithms. Therefore, provides more petroleum industry.