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Record W4230642992 · doi:10.2118/2007-010

Unlocking Bitumen in Thin and/or Lower Pressure Pay Using Cross SAGD (XSAGD)

2007· article· en· W4230642992 on OpenAlexafffundabout
J.L. Stalder

Bibliographic record

VenueCanadian International Petroleum Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Maintenance and Monitoring
Canadian institutionsConocoPhillips (Canada)
FundersConocoPhillips Canada
KeywordsAsphaltPetroleum engineeringMaterials scienceGeologyEnvironmental scienceComposite material

Abstract

fetched live from OpenAlex

Abstract Cross SAGD (XSAGD) is similar to Steam Assisted Gravity Drainage except that the horizontal injection wells are placed perpendicular to the horizontal production wells. Some completion restriction near the points where the wells cross can be included in the initial well completions or added later to limit short-circuiting of steam between the wells. The concept of XSAGD as applied in a 20-meter thick, homogeneous sand was introduced in the November 2005 International Thermal Operations and Heavy Oil Symposium in Calgary, Alberta, Canada. Expanding beyond that presentation, this paper describes simulations showing that XSAGD offers advantages over SAGD for developing thin and/or low-pressured bitumen sands. By combining both gravity drainage and lateral displacement, XSAGD can accelerate recovery, reduce steam requirements, and improve economic potential compared to SAGD. Simulation results are discussed comparing SAGD and XSAGD performance for pay thickness from 10 to 40 meters, for pressures ranging from 1500 to 4500 kPa, and for homogeneous and heterogeneous pay. Introduction An earlier study[1] describes how XSAGD combines lateral displacement with gravity drainage to accelerate bitumen recovery compared to the SAGD[2] concept in a 20-m homogeneous sand. Some form of completion restriction near where the injection and production wells cross is necessary to limit short-circuiting of the steam and to promote lateral displacement. This restriction could be added after initial communication is established between the wells or it could be built-in from the beginning. The recovery acceleration for XSAGD is partially related to the increased drawdown that can be applied to the producing wells while still maintaining effective steam-trap control. This benefit is due to the lateral offset between the active sections of the completions and the tendency for steam to gravity-override before reaching the unrestricted sections of the producing wells. Overall, XSAGD accelerates bitumen recovery and lateral expansion of the steam chamber and reduces cumulative steam oil ratio (CSOR) compared to SAGD. However, XSAGD recovery factor (RF) generally is slightly lower than SAGD RF. The capital costs for wells, pads, and facilities should be essentially the same for both processes even though the pad arrangement may be somewhat less flexible for XSAGD. One disadvantage of XSAGD is that it is not suitable for implementation as a single well pair, but requires multiple injectors crossing multiple producers. This limits XSAGD to more laterally continuous sands whereas SAGD can be applied in relatively localized pay sections. A possible advantage that XSAGD offers is that the injection well spacing can differ from the producing well spacing with the effect that the ratio of injectors to producers can be varied whereas SAGD generally is restricted to one injection well for each producing well. Preliminary simulations suggest that XSAGD performance is best with a 1:1 ratio of injectors to producers forming a square grid, as opposed to a rectangular grid or a non-perpendicular grid. Simulations suggest that restricting the production well completion has more influence on improving performance of XSAGD than restricting the injection well, but best results are obtained when both wells have some completion restriction.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.986

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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 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

Citations3
Published2007
Admission routes3
Has abstractyes

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