Integrated Approach for Improving Development of a Mature Field
Bibliographic record
Abstract
Abstract Makmur Field, South Sumatra, Indonesia, is a faulted anticlinal rollover with its major mutli-layer reservoir of distributary mouth bar, delta front sheet, and sub-aqueous channel sand. The field reached its production peak at end of 2001. In order to hold back the bottom or peripheral water encroachment, arrest promptly production declining, and ensure the maximum final recovery, integrated reservoir characterization including detailed microfacies and structure mapping, 3D geostatistic modeling, and subsequent reservoir simulation coupled with routine drainage radius analysis have been conducted. Meanwhile, pressure build-up test and production monitoring were optimized and selected performed. The effective reservoir management including development infilling, optimized well sidetracking, dual string well completion, gas lifting, active workover operation, as well as drilling of injector and optimization of facility utilization for water injection enhancement has been implemented, which provided a road map for improving the field development. Application of the integrating reservoir management techniques resulted in substantial added reserve and mitigated pressure dropping. The successful infilling and water shut in workover have obviously arresting production declining rate.
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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".