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Record W2103612664 · doi:10.3720/japt.71.176

Formation, distribution, oil-in-place, and recoverable reserves of heavy oil and extra-heavy oil deposits

2006· article· en· W2103612664 on OpenAlexaboutno aff
関口 嘉一

Bibliographic record

VenueJournal of the Japanese Association for Petroleum Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAsphalteneAlkylbenzenesSulfurSource rockGeologyLight crude oilStructural basinGeochemistrySulfatePetroleumUnconformitySalinityOil reservesEnvironmental scienceChemistryPaleontologyOceanographyCatalysis

Abstract

fetched live from OpenAlex

Most heavy and extra-heavy oils originate from conventional oils which have been subsequently degraded in shallow and porous reservoirs by one or several of the following processes: biodegradation, water washing, loss of volatiles, and inorganic oxidation. These processes result in a decrease of the light ends of the crude oil, and also of the alkanes and low molecular weight alkylbenzenes, and an increase of the more resistant polyaromatics, resins, and asphaltenes. Furthermore, at certain conditions, sulfur extracted from sulfate by anaerobic bacteria may react with hydrocarbons to increase the sulfur content. The extent of degradation is associated with depth, proximity to aerial contact, and salinity of formation waters. Excellent examples are provided by the two major provinces of heavy and extra-heavy oils, i.e., Eastern Venezuela and Western Canada. These provinces are situated in foreland-type basins. The basin frequently offer a large volume of mature source rocks. Then, the existence of a wide homocline slope, with a tremendous drainage area, and the occurrence of conductors, such as sandstone layers formed in a paleodelta system or major unconformity surface, favor a long-distance migration from the deep part to the end part of the basin. A wide drainage area is an essential condition for gathering a huge amount of oil into a single accumulation. Finally, degradation itself seems to be an important factor for trapping very large quantities of oil. The R/P of recoverable conventional oil is estimated as c.a. 64.5 years from the recoverable reserves and the additional quantities of conventional oil, which were estimated in 2002 by JPDA. Oil-in-place of heavy and extra-heavy oils are 2,044.3 billion barrels and 4,145.4 billion barrels, respectively, estimated by UNDP project in 1999. In addition, heavy oil of 717 billion barrels and extra-heavy oil of 724 billion barrels are considered as potential recovery. These figures correspond to the R/P c.a. 24.5 and c.a. 24.7 years, respectively. Therefore, total R/P of recoverable oil resource, conventional oil plus unconventional oil, exceeds 100 years.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.199
Teacher spread0.194 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

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