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Record W2082221152 · doi:10.2118/97856-ms

Unlocking the Value in West Sak Heavy Oil

2005· article· en· W2082221152 on OpenAlexaff
Gary Targac, R. S. Redman, E. R. Davis, S. B. Rennie, Steve McKeever, Bret Chambers

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsPetroleumGeologyPetroleum engineeringDrillingWell drillingReefEnvironmental scienceMining engineeringEngineeringPaleontology

Abstract

fetched live from OpenAlex

Abstract West Sak is a heavy oil accumulation within the Kuparuk River Unit on the North Slope of Alaska. It is a Cretaceous, shallow marine sandstone. It contains 7–9 billion barrels of oil in place with an oil gravity that ranges from 10–22 degrees API. Initial oil production began in 1997 at approximately 3,000 BOPD and has increased to over 16,000 BOPD in March 2005. Development plans are in place to achieve a rate of over 40,000 BOPD by 2007. This paper describes the evolving development plan for the West Sak field, with emphasis on the technical advances that have resulted in large-scale commercial development. Early West Sak development consisted of stimulated vertical wells on a 40-acre waterflood pattern with typical production rates of 150-250 BOPD. Utilizing the evolution in horizontal and multi-lateral drilling technology, the development plan has progressed to extended reach multi-lateral injectors and producers with horizontal and undulating slotted liner completions is excess of 8000 feet per lateral. Peak rates of over 5000 BOPD and sustained rates of over 1500 BOPD have been achieved. With the higher reservoir throughput rates, the distance between wells has increased, reducing well count and improving the development cost per barrel. Significant changes have also been made to the completion design and production strategy. These include changing from sand exclusion to sand management, adding intervention capabilities with multi-lateral completion equipment, optimizing the drill-in-fluid, and adding a backup gas lift system to the standard electrical submersible pump (ESP) completions. Finally, the enhanced recovery process has evolved from waterflood to a viscosity reducing water-alternating-gas (VRWAG) process, improving expected recovery by 2-3 percent of OOIP. Application of new technology and optimized development decisions have reduced development cost by approximately 25% in terms of $/BOE and unlocked value in a major resource.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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 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

Citations32
Published2005
Admission routes1
Has abstractyes

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