Multilateral-Horizontal Wells Increase Rate and Lower Cost Per Barrel in the Zuata Field, Faja, Venezuela
Bibliographic record
Abstract
Abstract Petrozuata, C.A is a joint venture (JV) company between Conoco Orinoco Inc. and PDVSA. This JV is developing extra heavy crude in a 74,000-acre block in the Zuata field in the western portion of the Faja del Orinoco in Venezuela. After the initial single lateral wells were brought on production an opportunity was identified to change the development program to multilateral wells in order to increase production rates. The geometry of multilateral wells is designed to fit the actual sand distribution and depositional environment that ranges from subarial fluvial to marine tidal systems. The various forms of multilateral wells drilled by the JV include stacked dual lateral, stacked triple lateral, gullwing dual lateral, gullwing triple lateral or crow's foot, and pitchfork dual lateral wells. In addition a fishbone multilateral concept consisting of a "spine" or main lateral with liner connected to many ribs or fishbones without liners has been used in single lateral and multilateral configurations. The geologic and geographical reasons for drilling these different types of multilateral wells are reviewed. The result has been an increase in production rate per well that is nearly proportional to the effective lateral length connected to the well bore at a lower cost than possible with single lateral wells of the equivalent length.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".