Prediction and Prevention of Downhole Complications in Real-time Oil Well Drilling
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The global economic growth is closely related to its energy demand; therefore, with the growing global economy, the need for oil and gas is projected to grow more, making the sector conducive for investment (Commodity Markets Outlook, 2021). The global crude oil demand is expected to exceed global supply by year 2022 (Short-Term Energy Outlook - U.S. Energy Information Administration (EIA), 2021). To bridge this market gap, the Oil and Gas (O&G) companies are exploring new oilfields in both offshore and onshore. While drilling, the operators are expected to have downhole complications such as stuck pipe, string washout, kick, loss circulation, and other drilling-related problems. And such problems are expected to be more for high angled wells. These wellbore complications during drilling activities would lead to unwanted incidents, indirectly increasing overall drilling costs and non-productive time (NPT). The detection of some of these downhole complications well in advance would help to reduce the drilling cost. Hence, there is an apparent requirement for developing new drilling technologies to detect the upcoming wellbore and drill string complications. This thesis work aims to develop an innovative method to help drilling engineers detect abnormal drilling conditions in real-time. In this work, three approaches are presented to detect the wellbore complications in real-time.
Supervisors: Senthilmurugan Subbiah and P. Muthukumar
ENERGY SCIENCE AND ENGINEERING