HUMAN-CENTERED OPTIMIZATION OF WELL CONTROL: IMPLICATIONS FOR DRILLING SAFETY

Simple item page
dc.contributor.advisorSalehi, Saeed
dc.contributor.authorNaqvi, Syed Ali Mehdi
dc.contributor.committeeMemberTeodoriu, Catalin
dc.contributor.committeeMemberAhmed, Ramadan
dc.date.accessioned2019-07-31T19:23:22Z
dc.date.available2019-07-31T19:23:22Z
dc.date.issued2019-08-01
dc.date.manuscript2019-07-25
dc.description.abstractToday 70% of incidents in offshore and marine environment are due to human factors (HF). Among all such incidents, loss of well control can have tremendous damage to human life, well, rig, underground reserves and to the environment. To reduce risk for such an incident, one needs to enhance process safety by integrating human factors in all elements design and training curriculums. The primary objective of this work is to investigate a human centered approach for reducing the risk for loss of well control events. A dual approach has been adopted which involves enhancing the computational abilities of the human and simplifying the task environment itself to promote enhanced performance. Techniques like eye tracking and content analysis has been discussed and analyzed to showcase how they can be incorporated for better training and evaluation to enhance human computational abilities. While for creating an unconvoluted task environment, dynamic well control approach through Managed Pressure Drilling (MPD) will be discussed. DrillSim 50 simulator was used to design experiment to test and validate how eye tracking can be incorporated in the current well control training and evaluation criteria. While the Virtual Reality Drilling Simulator (VRDS) was used to conduct the content analysis experiment. As compared to rather simple binary measure of performance we get from conventional evaluation criteria. The insights on participants performance from both these techniques helped to identify areas for targeted feedback for the participants to improve on. Secondly the benchmark maps or plots from the experts generated through these techniques can be used for better evaluation of the candidates. For creating an unconvoluted environment, dynamic well control from MPD was compared with the conventional well control method on the DrillSim 50 simulator. The comparison showed many ways in which the task environment can be simplified and made better in terms of reduced time, mental stress and physical labor. Together, this can help to create a system where task environment and abilities of the actor are complimented, resulting in optimal system performance and safety.en_US
dc.identifier.urihttps://hdl.handle.net/11244/321082
dc.languageen_USen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectWell Controlen_US
dc.subjectHuman Factorsen_US
dc.subjectEye Trackingen_US
dc.subjectDrilling Simulationsen_US
dc.subjectSafetyen_US
dc.thesis.degreeMaster of Scienceen_US
dc.titleHUMAN-CENTERED OPTIMIZATION OF WELL CONTROL: IMPLICATIONS FOR DRILLING SAFETYen_US
ou.groupMewbourne College of Earth and Energy::Mewbourne School of Petroleum and Geological Engineeringen_US
shareok.orcid0000-0003-2379-4811en_US

Files

Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
2019_Naqvi_Syed Ali Mehdi_Thesis.pdf
Size:
23.21 MB
Format:
Adobe Portable Document Format
Description:
Download
No Thumbnail Available
Name:
2019_Naqvi_Syed Ali Mehdi_Thesis.docx
Size:
19.38 MB
Format:
Microsoft Word XML
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

OU - Theses