New High-Performance Completion Packer Selection and Deployment for Holstein and Mad Dog Deepwater Gulf of Mexico Projects
Bibliographic record
Abstract
Abstract The BP Holstein and Mad Dog oilfields in the Gulf of Mexico are high-profile deepwater projects (4,300 and 4,400 ft water depth) with high production and high costs. Wellbore construction for both fields includesd a completion packer to manage tubing loads and reliably isolate production fluid and pressures from the casing, tiebacks, and risers. Several drivers influenced the packer selection and development process. The magnitude of the packer loading pointed toward high-performance permanent packers. Life- of- well and life- of -field requirements for possible planned and unplanned workovers pointed toward the operational flexibility of retrievable packers. High rig costs, a desire for accelerated production, and difficult wireline access "S" curve wells indicated the value derivable from interventionless completions. And the high cost of failure pointed toward high performance and quality standards to reduce risk of failure and potential malfunctions. Together, these drivers pointed toward a new packer solution. Ultimately a high- performance, modular, removeable, "V0 rated," interventionless production packer was developed which met all of these criteria. This paper describes the Mad Dog Holstein and Mad Dog Holstein completion environment, and details the selection, development, deployment, and lessons learned with the hydrostatic set, interventionless, removeable packer solution.
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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 | 0.000 | 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".