Drilling in offshore always accomapnies with the risks of wellbore blowouts which makes discharge of drilling fluids and hydrocarbon a likely scenario. Lack of an integrated system to estimate the worst-case discharge (WCD) rate constrains the tackling operations and exacerbate the environmental side effects of oil and gas well blowouts. Recent blowout incidents revealed the need for accurate estimation of WCD to prevent and mitigate uncontrolled flow of formation fluid to the environment.
We constructed a state of art multiphase flow loop which is equipped with various intrumentations and equipment to capture the flow characteristics on the higher spectrum of gas and liquid velocities. During this project, subsonic and sonic conditions were imitated and the various parameters were recorded. Simultaneously, we used the computational fluid dynamics modeling to characterize the real field conditions. Furthermore, a user-friendly computational tool was developed to simulate offshore WCD scenarios under realistic and various field conditions.
This is a typical experimental work being conducted in out lab.
The primary objective of eye-tracking analysis is to evaluate whether it can be used to evaluate participants' situation awareness in the course of abnormality encountered during operations. It is based on the data collected by eye fixation count and duration, scanning path, and audio recordings.The data collection is based on change in eye movement behavior (fixation count, fixation duration, and scanning pattern) when abnormality is detected in the control panel, and when the participant is reacting to the situation.
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