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Record W2329736783 · doi:10.2118/174462-ms

Geo-Mechanics of a Sugar-Cube Box: Cyclic Injection and Production in a Fractured Carbonate at the Saleski Pilot

2015· article· en· W2329736783 on OpenAlexaff
Daniel Yang, Jinze Xu

Bibliographic record

VenueSPE Canada Heavy Oil Technical Conference · 2015
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversity of CalgaryLaricina Energy (Canada)
Fundersnot available
KeywordsCarbonateGeologyOverburdenCompressibilityPermeability (electromagnetism)Steam injectionModulusGeotechnical engineeringFracture (geology)Petroleum engineeringMaterials scienceMechanicsComposite material

Abstract

fetched live from OpenAlex

Abstract Since 2012, horizontal wells at the Saleski pilot are operated with cyclic steam injection and production, recovering bitumen from the naturally fractured Grosmont carbonate reservoir. Steam has been injected in a continuous matter similar to SAGD, as well as in cyclic alteration with production from individual wells. Injection pressure is 50-60% of the overburden stress. The Grosmont reservoir is a highly fractured carbonate rock with excellent reservoir properties (i.e. high fracture permeability and porosity). The targeted producing horizons in this reservoir are Grosmont C (20 m pay) and D (30 m pay) unit, which are separated by a laterally extensive, 1-2 m thick Marl. The initial injectivity, which is superior to bitumen saturated sand reservoirs, can be explained by either high initial water mobility in the fractures or large system compressibility, or a combination of both. Since the Grosmont C unit is highly fractured, it can be characterized as a box filled with sugar cubes. The ‘stiff’ cubes can locally be displaced if the fractures are allowed to drain. Geo-mechanical simulations with deterministic fractures allow the calculation of the system compressibility and Young's Modulus, based on variations of fracture and matrix properties. Results indicate that the fracture properties dominate the system characterization. Using these insights, initial injectivity of a pilot well is matched with a reservoir model and a coupled geo-mechanical reservoir model to quantify the roles initial water mobility, matrix displacement and temperature play during cyclic operation of a naturally fractured reservoir.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.925

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 head0.017
GPT teacher head0.203
Teacher spread0.186 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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