Drilling and Completing Deep Gas Wells in Sabalo Field, Bolivia - Lessons Learned
Bibliographic record
Abstract
Drilling and Completing Deep Gas Wells in Sabalo Field, Bolivia - Lessons Learned J.C. Cunha; J.C. Cunha Petrobras Search for other works by this author on: This Site Google Scholar R. Passarelli; R. Passarelli Petrobras Search for other works by this author on: This Site Google Scholar J. Venancio J. Venancio Petrobras Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. Paper Number: SPE-75696-MS https://doi.org/10.2118/75696-MS Published: April 30 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Cunha, J.C., Passarelli, R., and J. Venancio. "Drilling and Completing Deep Gas Wells in Sabalo Field, Bolivia - Lessons Learned." Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. doi: https://doi.org/10.2118/75696-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Unconventional Resources Conference / Gas Technology Symposium Search Advanced Search AbstractSabalo Field is located in the south of Bolivia in the Sub-Andean Region. It is a giant gas field that just recently started its development. The wells in Sabalo field demanded careful planning not only due to the high depth of the wells, but also due to the fact that its completion should be done in order to handle massive gas production (more than 2.5 MM cubic meters per day) from multiple zones. Another factor that lead to special care during the planning phase was the experience from previous wells in the area that indicated complex drilling operations with frequent reports of stuck pipe, fishing jobs, sidetracks and gas kicks due to abnormally pressurized zones.This paper shows details of well program, operation follow-up procedure and new technologies introduced in the area in order to improve the efficiency of the operations and reduce costs of field development.IntroductionDrilling operations in the south region of Bolivia has been a very challenging task for all operators in that Sub-Andean region. While wells taking one year to be drilled are not unusual, there are reports of various wells that took close to two years to reach TD in this area where proficuous gas producing formations can be reached at depths varying from 3,000 meters to more than 5,000 meters.After the discovery of Sabalo field, located at San Antonio block (Fig. 1), an integrated effort was made by the operator, and its partners as well as service companies in order to drill the remaining wells in the most efficient way. Main goals for the campaign were:Drill the wells observing rigid safety and environmental standards;Reduce drilling cost and operation time;Reduce completion and evaluation costs.In order to achieve the proposed objectives, besides changes in well design and introduction of new technologies and equipment, a rigid control and follow-up of the operations was implemented. Keywords: completion, sidetrack, sabalo well, matrix, procedure, operator, upstream oil & gas, society of petroleum engineers, petrobras, followup Subjects: Drilling Operations This content is only available via PDF. 2002. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".