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Record W2077454950 · doi:10.2118/137850-ms

Exploiting Natural Fracture and Fault Fairways in the Jean Marie Carbonate Platform, N.E. British Columbia

2010· article· en· W2077454950 on OpenAlexaffabout
Rick Wierzbicki, D.. Todorovic-Maranic

Bibliographic record

VenueCanadian Unconventional Resources and International Petroleum Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGeologyCarbonatePermeability (electromagnetism)DrillingPorosityCarbonate rockPetrologyReefDiagenesisDevonianFault (geology)Geotechnical engineeringPetroleum engineeringGeochemistrySeismologySedimentary rockEngineeringMaterials science

Abstract

fetched live from OpenAlex

Abstract This presentation will review the nature of fractures in the Jean Marie from thin section to the seismic scale and focus on the seismic methods used to detect and exploit these high permeability fairways. Drilling results and production indicators of fracture flow will be reviewed, and the controls on fracturing discussed. The Jean Marie carbonate is an Upper Devonian aged carbonate platform that developed on the western margin of North America. Gas is regionally trapped in moderate porosity and low permeability stromatoporoid-renalcid limestone reef mounds and limestone intermound sediments. The pool has been developed using underbalanced horizontal drilling to minimize damage to the fine pore system in this underpressured reservoir. Advanced seismic techniques are being used to detect porosity zones and high permeability fairways which increase deliverability and recovery of gas from the Jean Marie carbonate. Variable well productivity has been observed in similar facies, as has high productivity in low porosity rock. In the last five years, in the Kotcho area, Encana has been targeting natural fracture/fault networks in the Jean Marie. These zones of fracture enhanced and diagenetically altered carbonates have better permeability, and often better porosity. The fracture networks appear to have controlled the distribution of hydrothermal fluids which enhance the porosity and permeability of the carbonate via dissolution and recrystalization. Horizontal wells that encounter fractures generally have better deliverability and greater associated reserves. The use of seismically derived porosity and fracture detection techniques has improved the well planning and the frequency of discovery of higher permeability/deliverability zones. Fracture detection is an important component in the development of the understanding of the permeability system in a reservoir. Fractures and faults can be high permeability production zones, or thief zones for fracturing programs, or barriers to flow if they are cemented shut. The techniques used by Encana in the Jean Marie can be applied to other reservoirs and other lithologies.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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