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Record W4255401949 · doi:10.2523/86548-ms

Characterization of Crosslinked Gel Kinetics and Gel Strength Using NMR

2004· article· en· W4255401949 on OpenAlexaffabout
Romero-Zeron Laura, F. Manalo, A. Kantzas

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsExhibitionCitationComputer scienceKineticsLibrary scienceChemistryPolymer scienceArtArt historyPhysics

Abstract

fetched live from OpenAlex

Characterization of Crosslinked Gel Kinetics and Gel Strength Using NMR Laura Romero-Zeron; Laura Romero-Zeron University of Calgary Search for other works by this author on: This Site Google Scholar F. Manalo; F. Manalo University of Calgary Search for other works by this author on: This Site Google Scholar A. Kantzas A. Kantzas University of Calgary Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Symposium and Exhibition on Formation Damage Control, Lafayette, Louisiana, February 2004. Paper Number: SPE-86548-MS https://doi.org/10.2118/86548-MS Published: February 18 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Romero-Zeron, Laura, Manalo, F., and A. Kantzas. "Characterization of Crosslinked Gel Kinetics and Gel Strength Using NMR." Paper presented at the SPE International Symposium and Exhibition on Formation Damage Control, Lafayette, Louisiana, February 2004. doi: https://doi.org/10.2118/86548-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 Conference and Exhibition on Formation Damage Control Search Advanced Search AbstractHighly crosslinked gels are used in high-permeability reservoirs to achieve good fluid-loss control during well completion and workover operations. Crosslinked gels are also commonly used for shutting off unwanted gas and/or water influx into production wells, and for improving the conformance of the near wellbore injection profile in naturally fractured or in high-permeability reservoirs. In all such applications, the appropriate design of the gel treatment is critical to ensure an efficient gel placement. One important variable of the gel application design is the rheology of the gel system for establishing the crosslinking kinetics and the gel strength after gelation is complete.Rheology of gels and gelation rates are commonly determined by rheological methods or in a qualitative mode through bottle testing using a well-known gel strength code (i.e., the Sydansk's Code). The rheological measurements can be both time consuming and expensive, while bottle testing can lead to an inconsistent gel description as a result of the subjective nature of the gel strength code. This paper describes the use of low field nuclear magnetic resonance (NMR0 to monitor gelation rates and to characterize gel strength. This technique provides fast and accurate gel strength characterization and gelation monitoring. Through calibration with polymer concentration, crosslinker concentration, aging of gels, and the effect of brine, it is possible to predict NMR parameters. This then allows for a standardized method for the rheological categorization of gels.The results of this work present the correlation between the NMR spectra, rheological measurements, and the qualitative codification of gel strength.IntroductionGels are swollen polymer networks possessing both the cohesive properties of solids and the diffusive transport properties of liquids. If some of the bonds holding the gel network together can "make-and-break", the gel is called reversible. If the bonds do not dissociate, the gel is called permanent. A permanent gel tends to carry the history of its formation in its structure, and it is best described as a cross-linked system of clusters. Clusters range from small, starlike molecules to large heavily cross-linked, and fairly concentrated microgel cores 1.Water-based gels are obtained by crosslinking linear flexible water soluble polymers using transition metal ions. These gels are highly elastic with a water content (98% to 99%) trapped in the three-dimensional polymer structure of the gel 2. Water-based gels exhibit a wide range of static and dynamic physical properties that make them suitable for numerous applications in the oil and gas industry 3, such as plugging off lost circulation zones during drilling operations, hydraulic fracturing for stimulating the production of oil and gas formations, controlling excessive water and gas production problems, and plugging depleted wells at the end of the economic life 4,5.Currently, the most widely used polymer gel-forming compositions employ either a partly-hydrolyzed polyacrylamide (HPAm) or an acrylamide co-polymer and a chromium ion [Cr(III)] crosslinker 6. This network system has been studied extensively both in the laboratory and in the field. Achieving reliable performance of this hydrophilic gel system requires a good understanding of the physical chemical properties, the viscoelastic behavior of gels, as well as the interrelation of these two aspects 3. Previous research studies have addressed primarily the establishment of gelation kinetics 3,4,7–12 and the evaluation of the rheological behavior and mechanical properties of a given gel system 13–18.These products are usually mixed in surface facilities, then pumped downhole through coiled tubing and injected into the formation over a depth of several feet. For the operators, gelation time and gel consistency after gel shut-in are the two most important parameters to control. The gelation time, which corresponds to a sudden rise in the viscosity, must be long enough to allow for placement of a sufficient gel volume16 before gelation starts: early network formation is undesired 3. Consequently, the rate at which this 3D gel is formed determines how far the solution can be pushed into the rock formation away from the injection well before gelation occurs 7. Gel consistency is related to the maximum pressure drop the gel can sustain within the porous media 16. Keywords: bulk relaxation rate, concentration, relaxation rate, reaction time, production chemistry, drilling fluid formulation, drilling fluid selection and formulation, oilfield chemistry, characterization, chemical treatment Subjects: Drilling Fluids and Materials, Production Chemistry, Metallurgy and Biology, Improved and Enhanced Recovery, Drilling fluid selection and formulation (chemistry, properties), Downhole chemical treatments and fluid compatibility This content is only available via PDF. 2004. Society of Petroleum Engineers 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 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 score0.092
Threshold uncertainty score0.227

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 head0.012
GPT teacher head0.307
Teacher spread0.295 · 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".

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Citations2
Published2004
Admission routes2
Has abstractyes

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