Real-Time Reservoir Management in Petroleum Engineering Using Proxy Modeling and AI-Based Optimization Techniques
DOI:
https://doi.org/10.64137/XXXXXXXX/IJMST-V1I1P105Keywords:
Reservoir management, Proxy modeling, Artificial intelligence, Optimization, Petroleum engineeringAbstract
Managing reservoirs well helps maximize the output of oil and gas, keeps costs low and protects the environment. The study looks at how using proxy models and AI optimization can make real-time reservoir management more effective in petroleum production. Proxy models are used as simplified versions of reservoir simulations to save time in evaluation and decision-making. Using AI, such as machine learning and genetic algorithms, helps to manage reservoirs under uncertain circumstances. We provide examples of these methods being used and discuss in detail the advantages, difficulties and future prospects they bring
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