Methods to Detect Inadequate Bit Cleaning in Diamond Drilling.
dc.contributor.author | Su, Kwong Lee | |
dc.contributor.supervisor | Thomas Richard | en_US |
dc.contributor.supervisor | Masood Mostofi | en_US |
dc.date.accessioned | 2025-03-11T01:26:13Z | |
dc.date.available | 2025-03-11T01:26:13Z | |
dc.date.issued | 2024 | en_US |
dc.identifier.uri | http://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.publisher | Curtin University | en_US |
dc.title | Methods to Detect Inadequate Bit Cleaning in Diamond Drilling. | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | MPhil | en_US |
curtin.department | WASM: Minerals, Energy and Chemical Engineering | en_US |
curtin.accessStatus | Fulltext not available | en_US |
curtin.faculty | Science and Engineering | en_US |
curtin.contributor.orcid | Su, Kwong Lee [0000-0001-5590-2624] | en_US |
dc.date.embargoEnd | 2027-03-10 |