Design, Implementation, Results, and Key Learnings: Case Study of a Novel Single Trip, Perforated, Multi-Zone, Isolated, Frac Pack Completion - Keong Subsea Development, South China Sea Floater Operations
Bibliographic record
Abstract
Abstract The Keong subsea development is located in Indonesia's Natuna Sea section of the South China Sea in the Block B concession operated by ConocoPhillips on behalf of itself and its co-venturers ChevronTexaco and Inpex. This gas field is one in a series of ConocoPhillips' subsea developments currently underway to fulfill key Southeast Asian long-term gas supply contracts. Therefore, high performance completions are required to drive efficiency in capital-intensive floater operations and subsea environments. Keong 1 was planned as a cased hole perforated, fracpacked, multi-zone producer. The well was designed to develop a series of laminated high gross to net unconsolidated sands in the temporarily abandoned discovery well, saving both time and money over a new drill. Four separate sand bodies were targeted in the completion. The type of completion was selected to match the existing wellbore configuration, reservoir properties and productivity needs. A sand exclusion completion was designed that would enable the development of the highly laminated reserves. A single trip, fracpacking, sand exclusion liner completion system to minimize expensive floater rig time and to minimize reservoir/near wellbore damage from well killing operations was also required. A novel combination of multi-zone Alternate Path Technology (APT) isolation packers, with APT sand exclusion liners enabled the simultaneous fracpacking of the three individual zones in a single fracpacking operation. Details of the fracpack design, tool modifications, field application and field observations are discussed. Acquired pressure data from downhole sensors demonstrates that effective fracpacking of all zones was achieved. Results from subsequent production and pressure build-up data prove the attainment of a zero to negative skin verifying the applicability of the tools and process. This application resulted in savings to ConocoPhillips in completion costs, in addition to the production acceleration benefits of an efficient completion. The objective of this paper is to present a "conception to production" high performance sand exclusion completion case history from ConocoPhillips' Keong subsea development in the South China Sea. Throughout the paper the design, implementation, operational problems, well performance results and key learnings will be discussed in detail in order to advance the technology and document the proposed completion methodology as an alternative for high deliverability wells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".