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Record W2041334199 · doi:10.2118/08-09-50

Two-Dimensional Permeability of Breccia Facies in the Athabasca Oil Sands

2008· article· en· W2041334199 on OpenAlexaffabout
S. Bharatha, M.Y. Chan, C.T. Yee, D.G. Lee

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsPetro-Canada
FundersStatoil
KeywordsBrecciaGeologyClastic rockFaciesPermeability (electromagnetism)PetrologyGeochemistryGeotechnical engineeringSedimentary rockGeomorphologyChemistry

Abstract

fetched live from OpenAlex

Abstract Breccia is a lithological facies present in the McMurray Formation in the Athabasca region of northeast Alberta. It consists of mud or shale clasts embedded in clean sands. The mud content of this facies varies from 0 to 100% and the clasts range in size from millimetres to metres with varying degree of angularity and sorting. Breccia is common in bitumen reservoirs. From an in situ recovery perspective, breccia can impede fluid flow and reduce the overall oil saturation due to the presence of the mud clasts. To properly characterize the reservoir flow properties, it is necessary to develop a systematic procedure to capture the impact of these clasts to a scale that is suitable for numerical flow simulation. This is commonly referred to as upscaling in reservoir characterization. The procedure described here involves digitizing core photographs of breccia intervals and assigning a sand-mud facies indicator based on the presence or absence of mud clasts at the pixel level of the core photograph. The resulting indicator map is transferred to a numerical flow simulator. The 2D effective permeability of the breccia zones is determined numerically from single-phase flow simulations by assigning a constant permeability to the sand and zero permeability to the mud clasts. The results indicate that breccia permeability closely follows an averaging power law in terms of the mud content. A 2D mathematical theory is developed to calculate the permeability of breccia facies by treating the mud clasts as elliptic obstacles to the flow through the embedding sand of known permeability. The results from the theory are shown to be in satisfactory agreement with those from the flow simulation. The paper concludes with guidelines for systematic permeability assignment in the breccia zones of oil sands, as well as other similar formations. Introduction Fluvial/estuarine channel sandstones and associated lithofacies host the oil sands deposits of the lower Cretaceous McMurray Formation in the Athabasca region of northeast Alberta. Channel deposits occur where there has been incisement into pre-existing sediments, creating accommodation space for subsequent deposition. Mud clast breccias are commonly associated with these channel deposits. They are mechanically formed through the cutting and bank collapse of the pre-existing sediments as the channels migrate across the depositional area. These breccias are a product of an active energy system. As the channel sand bars migrate, 'ripup' mud clasts that were eroded during the channel action become embedded. The mud clast breccias can vary considerably in length, width and height. They can also vary considerably in the amount of mud clasts in the host sandstone matrix. Mud clast breccias display favourable characteristics to be included as part of a reservoir unit. They are permeable as is evident from the fact that oil migrated into the sand portion of the facies through and around the mudstone clasts. Analysis of core samples reveals the bitumen saturation in the sandstone fraction of the breccias is equal to the bitumen saturation in mud-free sandstones.

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 score0.933
Threshold uncertainty score0.133

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 communication0.0010.000
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 head0.011
GPT teacher head0.205
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 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

Citations2
Published2008
Admission routes2
Has abstractyes

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