A Physics-Informed Machine Learning Framework for Real-Time Predictive Diagnostics and Conformance Control in Produced Water Management
The global hydrocarbon exploration and production (E&P) industry is severely impacted by increasing produced water management challenges, evidenced by average water-oil ratios (WOR) frequently approaching 9:1. This excessive aqueous phase volume significantly escalates operational expenditure (OPEX) through costly ha...
M. Omer, Sohail M. Sheikh, Miguel J. Duarte et al.
· SPE Annual Technical Confere... · 0 citations