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Record W1934141789 · doi:10.1306/13371590st643559

Geologic Reservoir Characterization and Evaluation of the Petrocedeño Field, Early Miocene Oficina Formation, Orinoco Heavy Oil Belt, Venezuela

2013· book-chapter· en· W1934141789 on OpenAlexaff
Allard W. Martinius, Jan Hegner, Inge Kaas, Rune Mjøs, C. Bejarano, Xavier Mathieu

Bibliographic record

VenueAmerican Association of Petroleum Geologists eBooks · 2013
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Tectonic Studies in Latin America
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsOil sandsGeologyAsphaltResource (disambiguation)Oil fieldPetroleum engineeringSteam-assisted gravity drainageGeochemistryUnconventional oilPetroleumMining engineeringEarth sciencePaleontologyArchaeologyGeographyOil shale

Abstract

fetched live from OpenAlex

Abstract More than 12 yr of field development and production at Petrocedeno (formerly Sincrudos de Oriente C.A.) in the Orinoco Heavy Oil belt, Venezuela, have generateda detailed picture of the three-dimensional (3-D) reservoir architecture, static and dynamic properties, and sedimentology of this important deposit. The Petrocedeno project is located along the foreland bulge on the south side of the eastern Venezuelan foredeep basin. Its hydrocarbon is derived mainly from marine source rocks from the early Paleocene to the Miocene; long-distance secondary migration occurred toward the foreland bulge. Traps are stratigraphic in nature, and lateral seal is provided by a combination of biodegraded hydrocarbons and increasingly immobile crude oil. A dense network of wells has enabled the construction of high-resolution static and dynamic models of the fluvial and deltaic reservoir units in the hydrocarbon-bearing lower member of the Oficina Formation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.016
GPT teacher head0.220
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Association of Petroleum Geologists eBooksSame topicGeological and Tectonic Studies in Latin AmericaFrench-language works237,207