Estudio geológico integrado de la formación mesa al sur del lote I en un contexto regional - Cuenca Talara
Bibliographic record
Abstract
This thesis is to obtain Professional Engineer Geologist title, it is a study about Mesa Formation at south of block 1 within regional context of the Talara Basin, Department of Piura in Peru NO. The subsurface sedimentary column comprises approximately 9,000 meters of clastic sedimentary rocks covering from the Middle Cretaceous to Tertiary Superior that lie on a Base of Paleozoic metamorphic rocks. \nThis work is done at south of Block I in Talara Basin at Northwest Peru for Mesa Formation (Lower Paleocene) in order to obtain a better technical understanding of the geological formation, with the consequence of a notary improved oil production. For this study were used different studies like: Coronas, drill cuttings, and thin sections of electrical records recently drilled wells in the region. From 2012, after applying the studies in the extracted cores, production wells is becoming attractive for that reason the number of wells per year increases from 3 to 12, with main objective Mesa Formation \nIn the curve of cumulative production of Mesa Formation could see the key moments in time where production improves as a result of studies efforts. \nUntil the date of termination of contract GMP has a minimum amount of reserves of recoverable oil in the order of 611 MMbls in structural blocks not exploited today by Mesa Formation (In Mega I block up developing). With this amount of reserves at south of block I and considering drainage hole can be drilled at least 28 profitable oil wells in the Mesa Formation. Considering average price of a barrel oil of $ 80, then the profits would be an estimated of $ 48.9 MMU.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".