Subsea Development of Shallow, Low-Pressure Gas Reservoirs With High-Performance Well Designs
Bibliographic record
Abstract
Summary In the summer of 2000, ConocoPhillips began a program to develop a series of shallow, low-pressure gas reservoirs in the Indonesian waters of the west Natuna Sea. The project consists of a series of subsea wells linked by pipeline to a central mobile gas-processing and -compression unit that feeds a sales line to Singapore. The overall project life is 20 years and will require developing eight small fields with reserves on the order of 1 trillion scf gas. Initial project planning used conventional well designs to deliver rates on the order of 20 MMscf/D/well from a number of gas reservoirs. This type of well productivity required 10 wells to meet ConocoPhillips Indonesia's maximum contract supply rate, with several wells allocated to each reservoir. To improve project economics, a reduced well count employing high-performance completion designs was developed. The high-performance completions were designed to provide flow rates on the order of 100 MMscf/D at initial reservoir pressures ranging from 1,250 to 1,900 psi. These flow rates allowed well counts to be reduced to one well per reservoir. This paper will review ConocoPhillips's methodology for design and implementation of the first four high-performance completions in the west Natuna Sea gas project. Well deliverability and initial project results are discussed.
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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".