MétaCan
Menu
Back to cohort
Record W4243447676 · doi:10.2118/2007-186

Improving the Performance of Classic SAGD With Offsetting Vertical Producers

2007· article· en· W4243447676 on OpenAlexaffabout
K. A. Miller, Y. Xiao

Bibliographic record

VenueCanadian International Petroleum Conference · 2007
Typearticle
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsHusky Energy (Canada)
Fundersnot available
KeywordsPetroleum engineeringComputer scienceBusinessGeology

Abstract

fetched live from OpenAlex

Abstract Both theoretical knowledge and field use of ‘Classic1’ SAGD' have greatly expanded over the last 15 years. During that period only a few modifications of ‘Classic’ SAGD have been proposed. The most successful was use of vertical injectors at Sceptre (now CNRL) North Tangleflags and Strike (now Husky) Bolney. Laterally staggered injectors and producers and perpendicular injectors and producers have been proposed, but have not been successfully field tested. This paper discusses field observations and numerical simulation studies indicating that properly placed vertical production wells can capture a significant amount of oil that is not produced by Classic' SAGD development. These vertical wells could also first be used for steam injection high in the pay, CSS low in the pay, or temperature observation purpose; adding further enhancement to the performance of nearby ‘Classic’ SAGD pairs. Horizontal wells could also be placed to access oil that is ‘missed’ because it is below and beneath ‘Classic’ SAGD pairs, but practical aspects involving drilling, completing, and producing horizontal wells in a non-uniformly heated and depleted environment suggest vertical wells are a better choice. Recent History of SAGD Usage ‘Classic’ SAGD ‘Classic’ SAGD is currently the most discussed and most proposed steam-based exploitation process in Canada. An excellent summary was published in 2001 by the inventor of the process, Dr. Roger Butler(1). Other recent publications have discussed a variety of topics about ‘Classic’ SAGD including: screening criteria(2,3), steam chest containment(4), co-injection of solvents(5,6), optimum pressure regime(7), producer inflow problems(8), effect of solution gas(9), and late life strategies(10). Prior Proposed Spatial Alterations from ‘Classic’ SAGD The literature also contains descriptions of processes for several well orientations altered from the ‘Classic’ SAGD configuration. The most advanced alteration is use of vertical injectors and horizontal producers(11–15). The most successful field project to date using this configuration has been Sceptre (now CNRL) North Tangleflags(16). Another spatial variation from ‘Classic’ SAGD is addition of horizontal CSS wells(17). This configuration contains a horizontal CSS well at the same depth as the SAGD producers, and located in the middle of a ‘typical’ SAGD well spacing, so about 50 meters away from each of the offsetting pairs. Placement of the ‘infill’ horizontal wells at the same depth as the SAGD producers likely leaves unswept oil below that depth, and possibly creates another opportunity for addition of vertical producers. To date only numerical simulation and physical modeling have been conducted, but those results suggest improved energy efficiency and productivity compared to ‘Classic’ SAGD. A third variation of well orientation is Cross-SAGD or XSAGD(18). For XSAGD the injectors are placed above the producers, but perpendicular to them. The objective is to obtain more rapid global sweep of the reservoir between the injectors and producers (i.e. to accelerate oil recovery), and according to numerical simulation of an idealized reservoir this will occur. XSAGD is not designed to access or mobilize the oil located beneath and between the producers that is the target of the vertical wells proposed in this study, and

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 score0.010
Threshold uncertainty score0.020

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 studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.216
Teacher spread0.203 · 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

Citations2
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueCanadian International Petroleum ConferenceSame topicDistributed and Parallel Computing SystemsFrench-language works237,207