Kick Detection During Offshore Drilling using Artificial Intelligence

2019

Master's thesis Mechatronics MAS500 - University of Agder 2019 An uncontrolled or unobserved influx or kick during drilling has the potential to induce awell blowout, one of the most harmful incidences during drilling both in regards to economicand environmental cost. Since kicks during drilling are serious risks, it is important both toimprove kick detection performance and capabilities, and to develop automatic flux detectionmethodology. There are clear patterns during an influx incident. However, due to complexprocesses and sparse instrumentation, it is difficult to predict the behavior of kicks or lossesbased on sensor data combined with physical models alone. Emerging technologies with…