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dc.contributor.authorSu, Kwong Lee
dc.contributor.supervisorThomas Richarden_US
dc.contributor.supervisorMasood Mostofien_US
dc.date.accessioned2025-03-11T01:26:13Z
dc.date.available2025-03-11T01:26:13Z
dc.date.issued2024en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/97314
dc.description.abstract

Drilling is essential for resource extraction but is often costly, time-intensive, and prone to challenges like inadequate bit cleaning, which reduces efficiency, increases bit wear, and raises operational costs. Beyond a critical penetration rate, debris removal becomes inefficient, leading to performance drops. Current solutions rely on driller experience without standardized guidelines. This research develops a real-time algorithm to analyze drilling data, detect inefficient conditions, and recommend parameter adjustments to enhance efficiency and reduce costs.

en_US
dc.publisherCurtin Universityen_US
dc.titleMethods to Detect Inadequate Bit Cleaning in Diamond Drilling.en_US
dc.typeThesisen_US
dcterms.educationLevelMPhilen_US
curtin.departmentWASM: Minerals, Energy and Chemical Engineeringen_US
curtin.accessStatusFulltext not availableen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidSu, Kwong Lee [0000-0001-5590-2624]en_US
dc.date.embargoEnd2027-03-10


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