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Record W2065725357 · doi:10.2118/137237-ms

Case Study on Hayter Heavy Oil Pool Update, Alberta: Reducing Risk and Increasing Recoveries for Economic Heavy Oil Horizontal Well Placement

2010· article· en· W2065725357 on OpenAlexaboutno aff
R. R. Mottahedeh

Bibliographic record

VenueCanadian Unconventional Resources and International Petroleum Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleumPetroleum engineeringWork (physics)Current (fluid)GeologyEnvironmental scienceOil reservesOil sandsFossil fuelMining engineeringEngineeringWaste managementArchaeologyOceanographyGeography

Abstract

fetched live from OpenAlex

Abstract Systematic approach and detailed integrated geo-modelling work with reservoir engineering processes has yielded additional economic locations to an already mature development within a Section of land at 26-40-1W4 in the Alberta side and the border with Saskatchewan. The pool currently produces about 2700 BOPD of oil; it was near its economic life back in 2003. Current well density is less than 4 acres, making it one of the most densely drilled Sections in Alberta. About 10 horizontal wells per year are drilled within the Heavy Oil pool in the last 8 years. The 12-16m sand is underlain by an active bottom water drive system. The 16 API oil pool recoveries have increased from about 17% to 25% so far. The update will show how detailed understanding of oil in place, recovery mechanism and correct prediction of the conning through a geo-model as well as solutions to incorporate collision avoidance has resulted in near 100% success in the past 9 years.

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 score0.140
Threshold uncertainty score0.974

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 head0.016
GPT teacher head0.250
Teacher spread0.234 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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