Opportunities for Rigless CT Intervention for Marginal Fields in Offshore Nigeria
Bibliographic record
Abstract
Abstract Offshore well intervention with coiled tubing (CT) in the Niger Delta has traditionally been rig-based. Experience has shown this type of activity to have high cost implication both cash wise as well as in time. With the current focus on development of offshore marginal fields, it has become imperative to perform well intervention operations at a more reduced cost to the operator. Non-rig based interventions can provide an economic advantage. However, inadequate facilities on existing offshore platforms and jackets present additional challenges. Furthermore, performing well intervention from a supply vessel is definitely not a mean task. Despite the complexity of this type of activity, the cost savings for not mobilizing a rig usually makes small intervention work that would increase oil production attractive to operators from the standpoint of ROI, vis-à-vis comparing the cost of the total intervention to the projected production gains. To the smaller operators and marginal field developers, this opens up a world of opportunities. This paper explores these opportunities and discusses how they are being exploited to yield optimum benefit for the marginal producer. The success of carrying out various types of well intervention work on four wells (two dual completions and two single completions) is showcased as case histories.
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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 | 0.001 | 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".