Openhole Horizontal Completions in Niger Delta
Bibliographic record
Abstract
Abstract The Niger Delta is a highly activity region in open hole applications. A wide variety of completion types have been deployed in open hole in the region. A major challenge in these completions is to deliver quality wells through the choice of an optimal sand control system. A locally developed database tracks the performance of the sand face completions, their reliability, observed failures and their causes. The oil reservoirs have used barefoot, standalone screens, slotted liners, gravel packs and expandables while pre-drilled liners have been used for borehole support. The expandable technology is relatively the most recent technique but of the three hundred and forty run so far globally as at September 2005, more than 3/4 has been deployed in Niger Delta alone. For the non-associated gas reservoirs, most of which have been conventional wells, based on fair understanding of the risks and uncertainties associated with two main sand control options namely, gravel packing and the expandable sand screens, work has been done to show adequate demonstration of the process of selection. This structured approach considers design options based on several factors such as possible problem with under-reaming relatively deep sections, previous performance in the existing high rate gas wells, productivity and better life cycle design perspectives. Within the Darcy permeability regime of the sandstone gas reservoirs, productivity with respect to horizontal versus conventional completion was compared and a matrix capturing the risks impact of a horizontal completion is attempted. The work concludes by suggesting future concerns in open hole horizontal sand control to include cost of installation failure, accurate modelling upfront and remedial zone isolation after gas/water breakthough
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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".