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Record W3094124050 · doi:10.2118/201570-ms

Modelling the Apparent Viscosity of Water Confined in Nanoporous Shale: Effect of the Fluid/Pore-Wall Interaction

2020· article· en· W3094124050 on OpenAlexaff
Jing Li, Zhangxin Chen, Zhengdong Lei, Yan Gao, Sheng Yang, Wei Wu, Linyang Zhang, Xinran Yu, Dong Feng, Jianfei Bi, Keliu Wu

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2020
Typearticle
Languageen
FieldEngineering
TopicNanopore and Nanochannel Transport Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsViscosityIntermolecular forceCapillary actionWork (physics)Fluid dynamicsMaterials scienceChemical physicsNanoporousChemistryThermodynamicsMechanicsMoleculeNanotechnologyComposite materialPhysics

Abstract

fetched live from OpenAlex

Abstract The viscosity of nanoconfined fluid is a crucial parameter for evaluating the flow back of the fracturing fluid in unconventional reservoirs. Generally, the viscosity is an intrinsic property defined as the internal friction among fluid molecule themselves. However, the effect of the fluid/pore-wall interaction on the viscosity of fluid at the nanoscale becomes significant. Due to this strong confinement, two abnormal flow behaviors have been discovered, including an extremely high water-flow rate in hydrophobic nanotubes and an extremely slow capillary filling rate in hydrophilic nanochannels. Thus, understanding such contradictory hydrodynamics is helpful to estimate the flow performance of fracturing liquid in both organic pores and inorganic pores of shales. In this work, a concept of apparent viscosity of nanoconfined fluid is proposed, where the activation energies (indicating the energy barrier needed to be overcome for fluid motion) caused by both the fluid/ fluid interaction and fluid/pore-wall interaction are modeled. For the case with only fluid/fluid interaction, the apparent viscosity reduces to the bulk-phase viscosity, and this traditional case has been well studied. Thus, we mainly focus on the additional interaction energy caused by the pore walls during the motion of water molecules. To solve this problem, the fluid/pore-wall interaction, including an intermolecular term, an electrostatic term and a structural term, is considered to modify the Eyring's viscosity theory. Due to a repulsion term (e.g., the structural force) and an attraction term (e.g., the intermolecular force and the electrostatic force) both introduced in the surface interaction, the integrated interaction energy of fluid and pore-wall can be either positive or negative, which depends on the relative value of repulsion and attraction controlled by the pore-wall wettability. Finally, the contact angle of the pore surface is calculated by a DLVO theory (describing gas/water/solid interactions) related to the fluid/pore-wall interaction properties. The continuous viscosity profile of fluid confined inside nanochannels with different wettability and size can be directly obtained by the proposed method. Result shows that: (i) the presence of the pore-wall significantly influences the apparent viscosity of fluid. For a strongly hydrophilic channel with the contact angle approaching to zero, the average viscosity of first layer (assuming the monolayer thickness is 0.35 nm) can be 3∼4 times higher than that of the bulk phase; whereas for a strongly hydrophobic case, the first-layer viscosity is about 2∼3 times lower. Thus water molecules with the extremely high-viscosity close to the hydrophilic wall can be regarded as a sticking layer as the immobile state, and those with the low-viscosity near the hydrophobic wall can be regarded as the rare-density vapor due to the surface depletion effect. (ii) The average viscosity of the confined fluid is a function not only of the wettability but also of the confinement. When the pore dimension decreases to serval nanometers, the portion of water molecules in the interface region increases relative to the total water molecules present in entire nanopores, and the average viscosity is dominated by the apparent viscosity of fluids near the wall. Besides, (iii) it is worth noting that the effect of pore wall on the apparent viscosity reduces sharply, the apparent viscosity approaches to the bulk-phase viscosity when the fluid-wall distance is about 0.7-1.2 nm, corresponding to two or three molecular layers. In this work, the viscosity of the nanoconfined fluid has been successfully modeled by considering both the fluid-fluid interaction and the fluid-wall interaction. We try to pave a path for characterizing the water flow behavior in both hydrophilic and hydrophobic nanopores, and further guide to simulate the imbibition characteristic or the flowback performance of the fracturing liquid in shale gas/oil reservoirs.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.223
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 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".

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Citations2
Published2020
Admission routes1
Has abstractyes

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