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Record W1978849258 · doi:10.2118/04-12-03

Rheology of Sandy Polyacrylamide Gels: Application to Conformance in Cold Production

2004· article· en· W1978849258 on OpenAlexaffabout
E.S. Bani, B. Tremblay, M. Polikar, B. Wiwchar, Hongliang Huang

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2004
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsSaskatchewan Research Council (Canada)University of Alberta
Fundersnot available
KeywordsPolyacrylamidePetroleum engineeringRheologyPermeability (electromagnetism)GeologyGeotechnical engineeringBoreholeMaterials scienceComposite materialChemistry

Abstract

fetched live from OpenAlex

Abstract In western Canada, many cold production wells must be prematurely abandoned due to watering-out. High permeability channels (wormholes) are known to develop during cold production. Tracer tests and wormhole growth experiments and simulations suggest that open (sand-free) channels form within the wormholes once they reach a certain length. Wormholes often break into water zones leading to premature abandonment of many wells. Different sandy polyacrylamide gel systems, developed for blocking these open channels, have been used as treatments, and whose results are reviewed here. These systems combine good injectivity with higher strength, as tested in the lab. In addition, a series of viscosity, settling rate, and gel strength tests were performed for different sand concentrations, shear rates, polymer concentrations, molecular weight, and salinity. A promising sandy polymer gel system for water shut-off applications in cold production is described. Introduction Cold production of heavy oil is a non-thermal process in which sand and oil are produced simultaneously. The drive mechanism is generally thought to be solution gas drive. The oil is widely believed to be drained from the reservoir through highly permeable channels, called wormholes, which develop by erosion of the sand when the pressure gradient at the tip of the perforations reaches a critical value. The development of high permeability channels can explain:the short travel time (within hours) of fluorescein dye tracers between wells up to 2 km apart(1);the caliper measurements of Elkins(2) showing wellbore enlargement over only a short length along the vertical well;the relatively low pressures observed during injectivity tracer tests(3);rapid steam communication between certain wells(4,5); and,radioactive tracer tests by Pan Canadian(6) showing tracer penetration over a thin (1 m) thick zone within a 7 m pay zone. The development of wormholes can also explain the high sand cuts at the start of cold production [30% to 40%(7), 10% to 50%(2), 20% to 30%(8)] followed by a sharp decrease in sand cuts to nearly constant values in the range of 0.5% to 1%(7), 0.1 % to 2%(2), and less than 5%(8) after a period of six months to one year. Based on experiments(9) and numerical simulations(10) of wormhole growth, the high sand cuts would occur during the initial growth regime when the wormhole is completely filled with sand. The presence of an open channel within wormholes was strongly suggested by the fluorescein tracer dye study by Amoco(1) in which the dye was injected in one well and was produced from a neighbouring well 400 m away without any loss in concentration. Since the flourescein dye could be easily adsorbed on the surface of a porous medium, this indicated that the dye flowed through an open (sand-free) channel. Numerical calculations(10) indicate that as the wormholes get longer, more oil is drained into the wormholes. Therefore, the flow rate along the wormhole would increase starting from the tip of the wormholes towards the well.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.001
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 head0.003
GPT teacher head0.189
Teacher spread0.186 · 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 designSimulation or modeling
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

Citations12
Published2004
Admission routes2
Has abstractyes

Explore more

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