Because of the influx of large data from production-monitoring systems, operators are getting creative in dealing with the vast amounts of data. In the process, they learn the state of their operations by extracting knowledge and taking advantage of the useful, newfound information to divulge new insights. Innovative technologies are deployed to replace any continuous, manual processing of real-time data, while the analysts can spend most of their precious time investigating and taking corrective actions in their operations.
With the advancements of generative artificial intelligence (AI) and large language models, the use of agentic AI to autonomously deal with vast, heterogeneous data has been observed in complex, distributed environments such as offshore oil and gas production. Greener, energy-efficient hardware also has been notably pursued to reduce environmental footprints while functioning as production monitoring units.
A digital solution has been presented in paper OTC 36110 to monitor system performance and identify optimization opportunities in gas lifted wells by orchestrating an intuitive, efficient surveillance system.
