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Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids10:28

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This paper demonstrates the experimental procedure to measure terminal settling velocities of spherical particles in surfactant-based shear thinning viscoelastic fluids. Fluids over a wide range of rheological properties are prepared and settling velocities are measured for a range of particle sizes in unbounded fluids and fluids between parallel...
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If acceleration as a function of time is known, then velocity and position functions can be derived using integral calculus. For constant acceleration, the integral equations refer to the first and second kinematic equations for velocity and position functions, respectively.
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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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An accurate estimation of leaf area index (LAI) is crucial for many models of material and energy fluxes within plant ecosystems and between an ecosystem and the atmospheric boundary layer. Therefore, three methods (litter traps, needle technique, and PCA) for taking precise LAI measurements were in the presented...
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Related Experiment Video

Updated: Jan 19, 2026

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids
10:28

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids

Published on: January 3, 2014

15.5K

A working method for estimating dynamic shear velocity in the montney formation.

Sochi C Iwuoha1, Per K Pedersen1, Christopher R Clarkson1

  • 1Department of Geosciences, University of Calgary, Canada.

Methodsx
|September 12, 2019
PubMed
Summary

This study customizes shear wave velocity (Vs) estimation from compressional wave velocity (Vp) logs in the Montney Formation. The Greenberg & Castagna (1992) shale constants provide the most accurate Vs log estimates for this region.

Keywords:
CorrelationDTP, sonic log – compressional slownessDTS, sonic log – shear slownessDynamic shear velocity estimation from compressional velocity logs in the Montney FormationGR, gamma ray logLog analysisNNE, neural network estimationRCW, reservoir characterization workflowRHOB, bulk densitySSTVD, subsea true vertical depth in metersShaleSiltstoneTight reservoirVelocityVp, compressional sonic velocityVs DOL, shear velocity log estimated using Greenberg-Castagna [1] Dolomite lithology constantsVs LST, shear velocity log estimated using Greenberg-Castagna [1] Limestone lithology constantsVs MDRK, shear velocity log estimated using Castagna et al. [5] Mudrock lithology constantsVs MJ Clavier, shear velocity log estimated using Marion & Jizba [11] method with Clavier et al. [12] fractional clay volume correctionVs MJ Larionov, shear velocity log estimated using Marion & Jizba [11] method with Larionov [13] fractional clay volume correctionVs MJ Stieber, shear velocity log estimated using Marion & Jizba [11] method with Stieber [14] fractional clay volume correctionVs SH, shear velocity log estimated using Greenberg-Castagna [1] Shale lithology constantsVs SST, shear velocity log estimated using Greenberg-Castagna [1] Sandstone lithology constantsVs, shear sonic velocityVsANN, shear velocity log estimated using artificial neural network techniquesVsRegress, shear velocity log estimated from the bivariate analysis of dipole sonic Vp and Vs logsVsh, Clavier, Clavier et al. [12] fractional clay volume correctionVsh, Larionov, Larionov [13] fractional clay volume correctionVsh, Stieber, Stieber [14] fractional clay volume correction

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Related Experiment Videos

Last Updated: Jan 19, 2026

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids
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Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids

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Area of Science:

  • Geophysics
  • Petrophysics

Background:

  • Accurate shear wave velocity (Vs) estimation is crucial for reservoir characterization.
  • Dipole sonic data, often used for Vs measurement, is not always available.
  • Compressional velocity (Vp) logs are widely available and can be used for indirect Vs estimation.

Purpose of the Study:

  • To develop and validate a customized method for estimating Vs from Vp logs in the Montney Formation.
  • To address the challenge of limited dipole sonic data availability.
  • To improve the accuracy of Vs log datasets for regional reservoir studies.

Main Methods:

  • Evaluated multiple Vs estimation techniques, including empirical relations (lithology, porosity, clay volume), bivariate statistics, and machine learning.
  • Assessed the performance of various empirical Vs estimation methods against measured Vs data.
  • Selected and customized the Greenberg & Castagna (1992) shale lithology constants for the Montney Formation.

Main Results:

  • The customized method using Greenberg & Castagna (1992) shale constants demonstrated the best performance.
  • Achieved a regional correlation coefficient of 0.8 between estimated and measured Vs.
  • The chosen method significantly improved Vs log estimation efficacy from Vp logs in the study area.

Conclusions:

  • Calibrating empirical Vs estimation relations to specific formations is essential for accuracy.
  • The customized method provides a more reliable Vs log dataset for reservoir characterization.
  • This approach enhances the utility of existing Vp log data for subsurface analysis.