Automated Racking-Board Pipe-Handling System Eliminates Hazards of Tripping Operations, Reduces Rig Personnel, and Creates Consistent Tripping Speeds in Line with Best Rig Crew Performance
Bibliographic record
Abstract
Abstract Tripping of drill pipe is known to be one of the most dangerous and physically demanding jobs on the rig and involves a derrickman and rig floor hands that are often subject to various injuries. Now this hazardous operation can be automated, which moves personnel out of harm's way and simultaneously creates attractive and very consistent tripping results. In this paper we will discuss field experiences while introducing such a system into an active onshore drilling operation in Canada. The unit is lightweight and fit for first installations, or it can serve as a retrofit-capable package. The Iron Derrickman S3 comes with a custom racking board that pins directly in the place of a conventional racking board. Complete with a standalone control system and power unit, it makes for a quick and easy addition to any rig. It immediately increases safety by actually removing the Derrickman from his exposed position and simultaneously making a floor hand redundant. The reduced incident exposure realized from removing the need for a Derrickman to climb up the mast and manhandle a nearly 9000lb stand of pipe with the supporting floor hands on the rig floor that control the bottom of the stand (in the red zone) and drive it around the floor each time a stand of pipe is needed, is tremendous. As you can see in the IADC Industry LTI's numbers from 2013, the incidents on the floor, in the racking board and involving Derrickman make up the lion's share of all LTI's on the rig annually. The Iron Derrickman S3 is an engineered solution that will help eliminate these hazards.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".