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Record W2322922319 · doi:10.2118/1012-0149-jpt

Sanding Prediction Validated by a Perforated Test in a Sandstone

2012· article· en· W2322922319 on OpenAlexaboutno aff
Dennis Denney

Bibliographic record

VenueJournal of Petroleum Technology · 2012
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)Geotechnical engineeringPetroleum engineeringEngineeringDisplacement (psychology)Shear (geology)Structural engineeringGeology

Abstract

fetched live from OpenAlex

This article, written by Senior Technology Editor Dennis Denney, contains highlights of paper SPE 158255, ’Sand Prediction by Different Criteria and Validation by a Perforated Test in a Sandstone,’ by Y. Wang, SPE, Petro-Geotech, and E. Papamichos, SPE, Sintef Petroleum Research, prepared for the 2012 SPE Heavy Oil Conference Canada, Calgary, 12-14 June. The paper has not been peer reviewed. Sand production from a perforated sample was determined by the onset of a significant discrepancy between strains in orthogonal directions. The onset was analyzed with three sanding models—shear-failure, cohesive-tensile-failure, and effective-plastic-strain (EPS) models. The EPS model provided results closest to testing. Equivalent plastic displacement (EPD) is proposed as an additional critical parameter that enables determining the sanding onset directly. Introduction Predicting sanding is increasingly important in completion and production engineering. If the sanding point is surpassed, engineers must determine if, when, and what sand-control strategy is required, and these determinations critically affect the decisions regarding the type of completion selected, such as fracturing, horizontal well, open hole, or cased hole. Engineers also need to evaluate the benefit of oil-production enhancement if no sand control is implemented. All these issues can depend on the accuracy and reliability of the sanding prediction. Even though a Mohr-Coulomb (M-C) criterion is used widely for the critical-shear-failure or sanding conditions, it has been considered too conservative; therefore, a Lade model is proposed. Study Three criteria, reflecting different sanding mechanisms, are applied extensively to sanding problems in the field, and, consequently, different critical sand pressures or drawdowns are generated. Use of these criteria to determine the sanding point from a single test or field condition can yield more questions than answers; therefore, defining an adequate criterion could be quite helpful. The use of stress-oriented criteria usually is simple, requiring fewer parameters, but such criteria can be too conservative, and, more importantly, those required parameters cannot be measured and monitored directly. The models used with stresses often are determined statically (i.e., they cannot be linked uniquely to the deformation), whereas extensive deformation can be linked proportionally to sanding, which is essential to determine the critical point both physically and mathematically. Another issue of the use of stress-oriented criteria defined by the M-C and cohesive-sanding models is that the parameters cannot be measured or monitored in the laboratory or in the field; instead, they are acquired from an indirect strength measurement because stresses or strengths can only be interpreted, not measured. Alternatively, a deformation-related criterion is proportional to well unloading and the required input can be monitored and measured directly.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.207
Teacher spread0.202 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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