抽象的

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

 Lateef Akanji

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.

索引于

化学文摘社 (CAS)
谷歌学术
打开 J 门
学术钥匙
研究圣经
全球影响因子 (GIF)
引用因子
宇宙IF
电子期刊图书馆
参考搜索
哈姆达大学
世界科学期刊目录
印度科学网
学者指导
普布隆斯
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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