Ourhoud acumula una producción de 140 millones de barriles: experiencia de dos años de producción y retos futuros
Bibliographic record
Abstract
El 7 de Noviembre de 2002 comenzo a producir el campo de Ourhoud, en el desierto argelino, en el que Cepsa tiene un 40% de participacion. Ourhoud es el segundo mayor campo de petroleo de Argelia, con una produccion nominal diaria maxima de 253.000 barriles, un volumen de reservas de un millardo de barriles de crudo y una inversion total de 1.600 millones de US$. La produccion acumulada es de 140 millones de barriles. En el presente articulo se resume la experiencia acumulada de la vida del campo y se presentan los retos futuros y las potenciales vias de incremento de reservas que se puedan extraer. 1. Introduccion El campo de Ourhoud fue descubierto en 1994, delineado durante el periodo 1994-1996 y desarrollado a partir de 1997 cuando se crea el Grupo de empresas que opera conjuntamente el campo. Los dos socios principales son Cepsa con un 40% y Sonatrach, compania nacional argelina, con un 37%. El resto de las participaciones se reparte entre las companias Anadarko (EEUU), Maersk (Dinamarca), ENI (Italia), Burlington (EEUU) y Talisman (Canada).(1) El campo de Ourhoud ha producido ya mas de 140 millones de barriles de crudo tras dos anos de produccion, lo que representa aproximadamente el 15% de las reservas totales del campo. Tiene una extension de 125 km2 y se encuentra en la cuenca de Berkine, en el sureste argelino (Fig. 1).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".