Horizontal Wells Pressure Build Up Analysis in Orinoco Heavy Oil Belt
Bibliographic record
Abstract
Abstract The innovative application of horizontal drilling technology has made the Petrozuata development project in Venezuela a great success. Petrozuata is the first of four strategic associations implementing an integrated development in the Faja trend, which contains 1.36 trillion barrels of oil in place and is one of the world’s largest heavy oil accumulations. The joint venture of Petroleos de Venezuela, S.A. (PDVSA) and Conoco, Inc., drilled 101 single lateral and 140 multi-lateral horizontal wells in the Zuata Field from 1998 to 2001 as a means of delivering production rates of up to 3000 BOPD per well from reservoir sands of 8° to 10° API oil. Well test interpretation and analysis techniques have been applied to both single and multi-lateral horizontal wells. This paper summarizes the methodology developed to analyze pressure build up (PBU) tests in the single lateral horizontal wells and recent experiences with the application of state of art PBU analysis techniques in the Zuata field wells. Because of the geological complexity of the fluvial-deltaic reservoir sands and the peculiar transient pressure behavior, it was necessary to integrate analytical techniques that identified the various flow regimes with numerical analysis that further quantified the analytic interpretation. The integrated approach allowed for improvements in the conventional analytical interpretation and provided a basis of incorporating refinements in the reservoir description when combined with geological and petrophysical data and interpretation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.001 | 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 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".