Data-driven Bayesian network model for early kick detection in industrial drilling process

Volume: 138, Pages: 130 - 138
Published: Mar 17, 2020
Abstract
Kick, or hydrocarbon influx, is one of the significant challenges during the drilling operation. A kick happens when the formation pressure exceeds the hydrostatic pressure of mud weight. Detection of a kick at an early stage spares more time to take necessary actions to prevent its growth and mitigate the potential well blowout. There are varieties of methods applied for early kick detection. The conventional method entails monitoring surface...
Paper Details
Title
Data-driven Bayesian network model for early kick detection in industrial drilling process
Published Date
Mar 17, 2020
Volume
138
Pages
130 - 138
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