MétaCan
Menu
Back to cohort
Record W1994342589 · doi:10.2118/64998-ms

Setting Rheological Targets for Chemical Solutions in Mud Removal and Cement Slurry Design

2001· article· en· W1994342589 on OpenAlexaff
I.A. Frigaard, Michael Allouche, C. Gabard-Cuoq

Bibliographic record

VenueSPE International Symposium on Oilfield Chemistry · 2001
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRheologyDrilling fluidCasingFluid mechanicsSlurryCementAnnulus (botany)Petroleum engineeringBingham plasticGeotechnical engineeringFluid dynamicsGeologyMaterials scienceMechanicsEngineeringMechanical engineeringComposite materialDrilling

Abstract

fetched live from OpenAlex

Abstract A major application area for chemistry-based solutions in oilfield cementing is in the reliable design of fluid rheologies for different purposes. A common situation is that one viscoplastic fluid will be displaced by another fluid along some sort of channel, e.g. a pore-space or the annulus during cementing. Whether the resident fluid is completely displaced will depend largely upon the fluid rheologies and hence on the chemical design of the fluids. Understanding the mechanics of this process enables one to set rheological targets for applied chemistry solutions. We present new results of university and industrial research into the displacement of visco-plastic fluids along long ducts, (pipes and slots). The research combines laboratory experiments with computational studies and with detailed mathematical analysis of the fluid mechanics. The results are both new and surprising, being in many respects counter to accepted oilfield intuition. The direct application of these results is in the design of spacer and cement slurry properties for effective mud removal during primary cementing. The breakdown of zonal isolation can sometimes be attributed to poor bonding of the cement to the casing and formation, due to the existence of residual mud layers on the walls of the annulus after cementing, i.e. the formation of a so-called "wet micro-annulus". It is possible to detect such layers using advanced ultrasonic cement evaluation logs. A visco-plastic fluid displaced by a fluid with a smaller yield point can leave a static residual layer of gelled fluid on the walls of the channel. We show that it is possible to predict the maximum static layer that can remain. Actual static layers that are observed in simulations and experiments are much thinner than the maximum layer. Additionally, the variation in static layer thickness with rheological and process parameters is not at all intuitive. For example, increasing the mean velocity can actually increase the static layer thickness and increasing the yield stress of the fluid to be displaced can result in a thinner static layer! These results are confirmed by laboratory experiments, computational simulation and mathematical analysis. The results are quite novel. Displacements with viscous fluids do not leave fully static residual wall layers, unless other physico-chemical phenomena are present. Similarly, previous oilfield investigators have considered that, in order to remove a layer, it is necessary to design the fluid rheology so that the maximum static layer predicted has zero thickness. We argue that this is rarely necessary, although sufficient, and that static wall layers can be removed with reduced rheologies. The most significant aspect of this research is that finally, with knowledge of local displacement velocities and fluid properties, we are able to predict the likely risk of a wet micro-annulus occurring during a primary cementing operation. Conversely, we are able to make recommendations for rheological fluid properties that are sufficient to avoid a wet micro-annulus and thus to enhance the prospect of complete zonal isolation during primary cementing. This sets the targets for applied chemistry solutions.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.219
Teacher spread0.205 · 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".

Quick stats

Citations16
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueSPE International Symposium on Oilfield ChemistrySame topicDrilling and Well EngineeringFrench-language works237,207