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Application of artificial intelligence in north-sea petroleum production enhancement and intervention

Abstract

In this work, an artificial intelligence technique for petroleum production enhancement and intervention in north-sea field operation is developed. It highlights the use of real time data generated from oilfields in delineating the performance of operational processes and proactive intervention. Applications in predictive operational practice particularly in offshore operations and management are also discussed. First, production data was numerically generated and matched against historical data from offshore fields. For each well, the subsurface production assembly was designed and modeled for two cases containing leaking and non-leaking production tubing systems. The matched data is then used in artificial intelligence platform to detect and predict the onset of a leak in subsurface production tubing.

 Lateef Akanji

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