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Record W4409149384 · doi:10.2118/223155-pa

Are Field Polymer Enhanced Oil Recovery Projects Reaping the Benefits of Residual Oil Saturation Reduction Due to Polymer Viscoelasticity?

2025· article· en· W4409149384 on OpenAlexaboutno aff
Madhar Sahib Azad, R. S. Seright

Bibliographic record

VenueSPE Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsResidual oilViscoelasticityEnhanced oil recoveryPolymerResidualPetroleum engineeringSaturation (graph theory)Materials scienceComposite materialEngineeringComputer science

Abstract

fetched live from OpenAlex

Summary For polymer solutions used in enhanced oil recovery (EOR), viscoelasticity is a rheological phenomenon that has a strong flux dependency and has been tied to significant reductions in residual oil saturation (Sor) during laboratory corefloods at high flux conditions. However, an unanswered question is whether the polymer’s viscoelastic effects reduce Sor over a significant portion of a polymer-flooded reservoir. In this paper, two methodologies are used to answer this question for polymer-flood projects across nine countries (Argentina, Austria, Canada, China, India, Oman, Russia, Suriname, and USA). In Method 1, the average Darcy velocity in each field is compared with the corresponding predicted velocity for the onset of shear thickening. Then, the effects of variables on Darcy velocity are examined, such as radial distance from the wellbore, well-spacing, horizontal well length, and thickness. In Method 2, the Sor reduction potential of the field polymer solutions used is evaluated by analyzing relevant coreflood experiments conducted in various laboratories. The observations from the laboratory results are considered in view of the fluid velocity, oil viscosity, permeability, mode of flooding, and pressure gradient of the various field projects. For most polymer floods with horizontal injectors, the highest possible Darcy velocity for various combinations of thickness, injection rate, horizontal well length, and well spacing is too low (in the range of ~0.01–0.2 ft/D) and unlikely to reach the onset velocity for viscoelastic behavior (i.e., >1 ft/D for most field conditions). For most vertical polymer injectors, less than 1% of the reservoir will experience fluid velocities high enough for viscoelasticity to potentially be important. Less-permeable reservoirs (<200 md) could experience the onset of shear thickening viscoelasticity at low rates (e.g., ~0.17 ft/D), but even so, a very small fraction of the reservoir is expected to achieve this onset flux. At a very short well spacing of 100 ft in the Pelican Lake polymer flood, the average velocity is ~1.7 ft/D. For an extreme case of a low thickness (10 ft), short horizontal well length (1,210 ft), and a small well spacing of 656 ft, an average velocity of ~1.2 ft/D and a pressure gradient of ~7.7 psi/ft were estimated for the Matzen field polymer flood. Although the average velocity is higher than the average onset flux rate, Sor reduction appears unlikely based on the macroscopic pressure gradients. This paper conveys the improbability of shear-thickening induced-viscoelasticity causing Sor reduction in field applications. It also discusses the potential role of other effects for Sor reduction in existing polymer floods, including wettability alteration by the polymer and secondary-vs.-tertiary polymer-flooding effects. EOR researchers are advised to use realistic field-relevant fluxes during laboratory assessments while studying Sor reduction.

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 score0.358
Threshold uncertainty score0.624

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 integrity0.0000.001
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 head0.010
GPT teacher head0.242
Teacher spread0.231 · 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

Citations6
Published2025
Admission routes1
Has abstractyes

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