MétaCan
Menu
Back to cohort
Record W2585745628 · doi:10.11575/prism/24868

A New Material Balance Methodology for Quintuple Porosity Shale Gas and Shale Condensate Reservoirs

2016· dissertation· en· W2585745628 on OpenAlexfundno aff
Orozco Ibarra

Bibliographic record

VenuePRISM (University of Calgary) · 2016
Typedissertation
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
FundersChina National Offshore Oil CorporationUniversity of Calgary
KeywordsOil shaleShale gasMaterial balancePetroleum engineeringPorosityOil shale gasBalance (ability)Shell in situ conversion processGeologyUnconventional oilGeotechnical engineeringEngineeringProcess engineeringPaleontology

Abstract

fetched live from OpenAlex

A recent petrophysical formulation states that all the storage mechanisms present in shale reservoirs are best represented by a quintuple porosity system that is further fed by dissolved gas in the solid kerogen. The quintuple porosity system is made up of: 1) adsorbed gas in the pore walls of the organic matter, 2) free gas stored in the inorganic matrix porosity, 3) free gas stored in natural fractures (microfractures and slot porosity), 4) free gas stored in the hydraulic fractures created around the wellbore by the stimulation job, and 5) free gas stored in the organic nanopores. This thesis presents a new material balance methodology for shale gas and shale condensate reservoirs that considers all the aforementioned storage mechanisms. Results lead to the conclusion that ignoring the effects of gas diffusion from kerogen in shale material balance calculations can lead to pessimistic estimates of both OGIP and production forecasts.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.232
Teacher spread0.212 · 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 designBench or experimental
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

Citations5
Published2016
Admission routes1
Has abstractyes

Explore more

Same venuePRISM (University of Calgary)Same topicHydrocarbon exploration and reservoir analysisFrench-language works237,207