Use of Jack-up Drilling Units in Arctic Seas with Potential Ice Incursions during Open Water Season
Bibliographic record
Abstract
Abstract Jack-up drilling units have been used in Arctic open water seasons and areaswith icebergs. They have not been used in areas where significant sea ice canmove in with high concentrations. These areas have typically been drilled usinga floating mobile offshore drilling unit (MODU) although the water depths aretypically less than 50 meters. Floating MODUs in shallow water depths can havesignificant downtime due to the limited offset in shallow water and typicallyrequire placing the well control equipment in a seabed cellar. In these areas, jack-ups can improve both operational safety and efficiency as they havelimited weather related downtime. Several studies were carried out to determine the feasibility of using amodern high capacity jack-up MODUs for exploratory drilling in these areas. This paper will review the studies including structural analysis, icemanagement approaches, and well control considerations. It will also review thefurther potential of jack-ups in the Arctic. Studies showed that using a jack-up drilling unit is feasible in shallowArctic seas such as the Chukchi Sea when coupled with an effective icemanagement system. The jack-up unit has sufficient ice resistance to withstandinteraction with thin early winter ice. Specific designs of jack-ups arecapable of taking impact forces from thicker ice floes that may occur during anice incursion event during the open water season. The maximum floe size duringan ice incursion is limited and controlled by the associated icemanagement system. An ice management system was developed using a combination of satelliteimagery, ice management vessels, and ice alert procedures. This system wasdetermined as effective in managing ice to allow the jack-up to operate in theChukchi Sea area. Environmental and personnel safety is enhanced by the use of aPre-positioned Capping Device, an in place source control device. The device isindependent from the rig's well control system and provides another level ofprotection in additional to the jack-up's BOP. The conclusion, based on structural and ice management studies, is thatmodern high capacity jack-up drilling units can be an effective way to drillwells during the open water season in shallow waters of Arctic seas includingareas in to which sea ice can move. The studies also show that there ispotential for use in other areas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".