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Record W2009112276 · doi:10.2118/0506-0069-jpt

Cyclic Mechanical and Fatigue Properties of OCTG Materials

2006· article· en· W2009112276 on OpenAlexaboutno aff
Karen Bybee

Bibliographic record

VenueJournal of Petroleum Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCasingCyclic stressThermal expansionMaterials scienceThermalYield (engineering)Structural engineeringEngineeringGeotechnical engineeringMechanical engineeringComposite materialPhysics

Abstract

fetched live from OpenAlex

This article, written by Assistant Technology Editor Karen Bybee, contains highlights of paper SPE 97775, "Cyclic Mechanical and Fatigue Properties for OCTG Materials," by T.M.V. Kaiser, SPE, and V.Y.B. Yung, SPE, Noetic Engineering Inc., and R.M. Bacon, Imperial Oil Resources, prepared for the 2005 SPE International Thermal Operations and Heavy Oil Symposium, Calgary, 1-3 November. Much of the design for well structures subjected to high-amplitude cyclic loading is based on material assumptions that extrapolate strength properties from uniaxial, monotonic tests to conditions where cyclic, multiaxial stresses are imposed. The full-length paper presents results from cyclic testing on common oil-country tubular goods (OCTG) materials and shows the difference between physical behavior measured under cyclic-loading conditions and theoretical behavior extrapolated by numerical modeling. Modeling theories for plastic deformation are discussed, including their limitations and relevance in a cyclic-loading environment. Introduction Most thermal-recovery oil wells in western Canada operate by use of cyclic steam stimulation (CSS) or steam-assisted gravity drainage. Both methods impose thermal cycles on well structures, particularly the intermediate casing. Thermal expansion is constrained by the formation and cement, producing loads that exceed tubular yield strength when the well is heated. Localization mechanisms amplify strain magnitude, imposing additional plastic-fatigue loads at discrete locations in the well. Thermal-well casing designs have evolved through more than 30 years of operating experience, and much of the computer modeling that describes casing performance is based on uniaxial material properties, extrapolated to multidimensional and cyclic behavior through engineering models. Cyclic material-properties data are very sparse, particularly in the temperature range common in thermal-recovery wells. Furthermore, plastic-fatigue-life information for materials commonly used in well construction is difficult to obtain. Such information, however, is required to make reliable predictions of certain deformation mechanisms and associated fatigue life for wells exposed to cyclic, thermally imposed deformations. A test program for characterizing cyclic material properties was undertaken to evaluate both cyclic mechanical properties and low-cycle fatigue life. Test results demonstrate consistency indicative of reliable material characterization that can be applied in analysis models and component life assessments. The observed cyclic behavior also demonstrates material characteristics significantly different from those predicted through engineering models using uniaxial, monotonic material properties for input. This has important implications for selection of steels used in thermal-well designs and for implementing techniques to mitigate casing-deformation effects. Background Post-Yield Plasticity. Much of the work to characterize metal post-yield behavior was developed to support structural analysis under conditions where the load exceeds that required to yield some components. Material properties usually are determined from uniaxial coupon tests that give elastic modulus, yield strength, and post-yield strengthening or hardening. Structural modeling, whether analytic or numeric, requires that behavior measured in one dimension be extended into a multidimensional stress state. Furthermore, plastic behavior is load-path dependent (i.e., the stress state is not defined uniquely by the strain, but rather depends on the history of plastic deformation).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.330

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 head0.007
GPT teacher head0.177
Teacher spread0.170 · 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 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".

Quick stats

Citations2
Published2006
Admission routes1
Has abstractyes

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