A leading energy joint venture aimed to accurately estimate flow rates of oil, gas, and water across individual perforation zones using raw fiber-optic data. However, the client encountered various challenges, including noisy acoustic signals with depth misalignment, fragmented PLT data, and unsynchronized DAS and DTS acquisition periods. As a solution, FPT applied machine learning with advanced signal processing to overcome these obstacles, enabling high-accuracy, explainable production monitoring.
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