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Record W2328241051 · doi:10.2118/174492-ms

Eliminating the Silver Bullet from SAGD Casing Cementing

2015· article· en· W2328241051 on OpenAlexaffabout
B. W. Lim, John. Forsyth, JJ Kelly, Michael McDonald

Bibliographic record

VenueSPE Canada Heavy Oil Technical Conference · 2015
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsCenovus Energy (Canada)
Fundersnot available
KeywordsCasingEngineeringPetroleum engineeringSteam injectionDrillingDrillOil fieldMechanical engineering

Abstract

fetched live from OpenAlex

Abstract A “Silver Bullet” is defined as a solution that relies on using one portion of a number of complex processes to quickly and easily achieve a desired result. In the case of Steam Assisted Gravity Drainage (SAGD) casing cementing, the objective is to achieve complete annular zonal isolation from the intermediate casing shoe to surface. Cement is often cited as providing a “Silver Bullet” solution for a number of well construction deficiencies. An integrated design approach is a philosophy that incorporates critical design criteria, operational best practices and fit for purpose equipment to achieve a desired result. An integrated design approach is only effective if full participation occurs from both the operator and service providers. Design and operations personnel should be fully utilized in this philosophy. This approach has been employed with respect to the well construction and casing cementing operations at Foster Creek/Christina Lake (FCCL) SAGD projects. The operator and cementing service provider employed an integrated design approach to SAGD cementing operations and the results are presented in this paper. SAGD wells present sub-surface well construction engineers with a difficult environment in which to achieve a competent annular seal when cementing intermediate casing strings. SAGD well designs typically consist of large diameter drill holes and casing, set horizontally at relatively shallow true vertical depths (TVDs), through formations of variable competency. SAGD production operations then, via steam injection, subject the wells to extreme temperature cycles up to 275°C. These operating environments require design consideration of all aspects of the drilling and casing cementing operations to achieve and maintain annular isolation. Relying on one piece of a puzzle to make up for a number of missing parts rarely provides a consistent, reliable outcome. An integrated design approach that leverages all the various aspects of wellbore construction is essential to achieving high quality well performance throughout the life of project. Drilling a hole with a uniform diameter (minimizing washouts) and trajectory, drilling fluid conditioning and solids removal, coupled with proper casing centralization and movement during cementing operations is essential to ensure an adequate cement sheath is obtained around casing. Flushes and spacers are utilized in cementing operations to seal off porous formations, reduce cement fallback and provide a reactive film on the borehole and casing to improve the quality of the cement bond. The placement of cementing fluids into wells at higher annular velocities has a 30+ year history in Western Canada of improving drilling fluid/solids removal from casing annuli and enhancing cement to formation/pipe bond, reducing well problems associated with incomplete zonal isolation and casing support. A recent introduction into SAGD cementing operations of a formulated spacer fluid and “fit for purpose“ mixing and pumping equipment has resulted in quantifiable improvements in intermediate casing bond quality. A cementing system has been designed to provide these results, while reducing the required location personnel and equipment footprint. The background, case history and the definitive bond log comparison will be presented to illustrate these improvements.

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 score0.382
Threshold uncertainty score0.845

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 head0.024
GPT teacher head0.203
Teacher spread0.179 · 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
Published2015
Admission routes2
Has abstractyes

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