MétaCan
Menu
Back to cohort
Record W1977076424 · doi:10.2118/157870-ms

New Upstream and Downstream Technologies for Extra Heavy Oils

2012· article· en· W1977076424 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSPE Heavy Oil Conference Canada · 2012
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDownstream (manufacturing)Fossil fuelOil reservesCrude oilUpstream (networking)Oil sandsUnconventional oilPetroleum industryMineral resource classificationAsphaltEnvironmental sciencePetroleumPetroleum engineeringGeologyBusinessWaste managementEngineeringGeochemistryEnvironmental engineeringMaterials science

Abstract

fetched live from OpenAlex

Abstract Heavy oil and bitumen are found in many places worldwide, with the largest deposits in the world being in Canada (Alberta), Venezuela and the former Soviet Union. Among huge conventional and unconventional oil resources so-called Bazhenov series represent one of the highest hydrocarbons potential in Russia. Its resources of light oil considerably exceed conventional oil resources, and extra heavy oil resources are estimated to be hundreds of billion tons (some estimates go beyond 2 trillion tons). Despite huge geological HC resources allocated in BS technology for their effective development is still a challenge. Thermogas is one of the promising EOR technologies that are under development in Russia. First theoretical as well as experimental and pilot results indicate that this technology could be successfully deployed for the development of hydrocarbons located in Bazhenov series. It is anticipated that the use of Thermogas technology for extraction of hydrocarbons from BS, based on successful application of similar technology for enhanced recovery of light oils from fractured dolomite formations in USA, can result in recovery of at least 35–40% of their resources. This could open up huge yet poorly estimated world unconventional oil resources that enable sustainable production of hydrocarbons at a global scale for many decades. Technology of "cold" mechanical oil processing is another "attraction point" of intensive research in Russia. This new approach is based on extremely localized "injection" of required amount of energy in order to break intermolecular and intramolecular chemical bonds in hydrocarbon compounds and molecular conglomerates. Technological effect is gained by means of initiation of the cavitation processes in the treated medium. Heavy organic molecules (asphaltenes, long paraffin and other complexes) and their conglomerates present in crude oil and subjected to this technology undergo breakdown of chemical bonds and, as a result, drastic changes in crude oil properties like viscosity and, to a lesser extent, density. Although technology is at its initial, i.e. "nucleus" development phase, its applications are perceptible in many potential areas of application, from up- to mid- and to downstream petroleum sectors. Recent developments in Thermogas EOR as well as in cold mechanical oil processing are described in this paper.

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.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.237
Teacher spread0.219 · 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