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Record W4241322701 · doi:10.2523/97776-ms

Thermoplastic Properties of OCTG in a SAGD Application

2005· article· en· W4241322701 on OpenAlexaboutno aff
D. Dall’Acqua, Darwin Smith, T. M. V. Kaiser

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCitationLibrary scienceComputer scienceArchaeologyEngineeringOperations researchHistory

Abstract

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Thermo-Plastic Properties of OCTG in a SAGD Application Daniel Dall'Acqua; Daniel Dall'Acqua Noetic Engineering Inc. Search for other works by this author on: This Site Google Scholar Darwin Todd Smith; Darwin Todd Smith Nexen Inc. Search for other works by this author on: This Site Google Scholar Trent M.V. Kaiser Trent M.V. Kaiser Noetic Engineering Inc. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. Paper Number: SPE-97776-MS https://doi.org/10.2118/97776-MS Published: November 01 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Dall'Acqua, Daniel, Smith, Darwin Todd, and Trent M.V. Kaiser. "Thermo-Plastic Properties of OCTG in a SAGD Application." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. doi: https://doi.org/10.2118/97776-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractEngineering studies demonstrate the significance of post-yield mechanical characteristics of Oil Country Tubular Goods (OCTG) for governing the service limits of casing and liner products in Steam Assisted Gravity Drainage (SAGD) operations. New test methodologies have been developed to characterize these post-yield properties in a thermal environment at field-representative strain rates and static strain conditions. This provides a basis for quality assurance programs to verify that materials used in well construction meet the requirements for post-yield service in thermal operations.This paper provides an overview of a quality program implemented for a major SAGD development in Western Canada. The program was designed to provide a statistically significant description of the thermo-mechanical properties of the tubulars used in the well construction. The overview includes a discussion of the material characterisation basis, the statistical design basis, a summary of material test results, and conclusions for ongoing testing in forthcoming phases of the project.IntroductionPost-yield material response is a critical factor governing the performance of tubulars in steam-assisted gravity drainage (SAGD) applications, where high operating temperatures can cause tubulars to yield in service. While mill certificates supplied by pipe manufacturers characterize basic material mechanical properties, the parameters pertinent to thermal performance are not quantified. Furthermore, the variability in post-yield properties within individual heats of material is not well understood. Finally, detailed engineering studies demonstrate the sensitivity of post-yield behaviour to these properties. For these reasons, Nexen Inc. undertook a quality assurance program to ensure all intermediate casing and liner installed at its Long Lake SAGD project has adequate post-yield response to ensure acceptable thermal structural performance. This quality program serves to ensure the success of Long Lake installations and to provide a basis for future material evaluation programs for SAGD installations.Application BackgroundThe steam assisted gravity drainage (SAGD) process is a thermal recovery method in wide use for recovering heavy crude from unconsolidated sand in Northern Alberta, Canada. SAGD installations consist of a horizontal steam injection well located a consistent distance above a matching horizontal production well. Nexen's planned Phase 1 installation at Long Lake includes 78 well pairs, with a total expected bitumen production of approximately 11,000 m3/day. Steam injection temperatures are typically on the order of 275°C at the wellhead.Completions consist of a cemented intermediate casing string to the end of the build section followed by a slotted liner to the toe of the well. Intermediate casing is axially restrained by the cement, and slotted liner is restrained by re-established formation stress acting on the pipe surface. Various other tubulars may be present, but those are generally free to expand and contract with temperature variations.Nexen's tubular selections were based on engineering studies focused on maintaining stability beyond the yield strength of the material. The prominent mechanism for intermediate casing collapse is section collapse by ovalization resulting from the combined effect of restrained thermal expansion beyond yield, imposed curvature, and external pressure. Slotted liners under axial compressive strain are susceptible to a number of buckling modes that ultimately compromise the sand control and wellbore access functions of the liner. In both cases, post-yield response is shown to have a considerable influence on stability. Keywords: noetic engineering inc, material property, spe, modulus value, design basis, steam-assisted gravity drainage, assumption, statistical basis, stress-strain curve, frequency Subjects: Improved and Enhanced Recovery, Thermal methods This content is only available via PDF. 2005. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium You can access this article if you purchase or spend a download.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.005
GPT teacher head0.148
Teacher spread0.143 · 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 designBench or experimental
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".

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Citations4
Published2005
Admission routes1
Has abstractyes

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