Calculation methodology for segregation of solids in

Calculation methodology for
segregation of solids in nonNewtonian carrier fluids
Arno Talmon: Delft University of Technology & Deltares
W.G.M. van Kesteren, D.R. Mastbergen and
J.G.S. Pennekamp: Deltares
B. Sheets: BARR Engineering
“Feasibility of laminar flow”
Problem & objective
Problem:
-Feasibility laminar flow transportation?
-There is no technique that robustly predicts consequences of shear
settling in laminar flow (transport capacity & hydraulic gradient).
Developed: Modular modelling methodology;
2LM suspension & bottom layer, validated with experimental programs
revealing advantages of gelled bed formation.
Objective: explain why laminar flow may work
Approach & application (s)
Approach:
-Identification of relevant physics.
-Physical model tests.
Contents presentation:
- Flow configuration,
- Shear settling
- Gelled bed properties
- Examples of application
- Conclusions
-Mathematical models for subprocesses.
-Integration in calculation model(s): f.i. non-Newtonian two-layer model for pipes
& open channel model.
Applications:
Long distance base metal hydrotransport, Hydraulic transport tailings, Hydraulic
placement tailings (subareal beaching, submarine beaching), Dry stacking,
Capping of contaminated soils, Pyroclastic flows, Horizontal Directional Drilling,
Grouts and Mortars.
Flow conditions & physical processes
shear stresses
= yield stress
Shear settling of solids
Particles co-rotate with the flow
and settle slowly
(J. Tunneling & Underground
Space Technology, 2005)
solid
fluid at standstill
in shear flow
Carousel for horizontal
shear flow: flow driven by
rotating rigid lid.
Shear test cell for concentrated suspensions
Canadian J.
Chemical Engineering 2014
Settling by particle size leads to S-curve.
Distance between curves gives settling velocity.
Shear test cell results
Stokes settling formula:
2
1 (  s   f ) gd
ws 
18
a
is equivalent with:
Re = Ar/18
concentration
single solids
apparent
viscosity carrier
where
Reynolds number: Re   s ws d
a
Archimedes number: Ar 
hindered settling included
(  s   f )  f gd 3
a 2
Bed formation: granular v/s gelled bed
Granular bed (traditional with sand-water systems): Coulomb friction sand
skeleton with (pipe) wall.
Gelled bed (slimy layer)
- particles do not touch
- particles are suspended by yield stress.
Coulomb
Gelled beds slide !
granular (cv = ~60%) and ………………………….gelled beds (cv ~30% to 40 %)
Concentration coarse in gelled beds
[-]
tau/tauystress
carrier
yield stress/yield
gelled bed compacts at higher shear stress
10
Deltares carousel
9
MFT Gillies 2002, rotovisco
8
Inverse application of relative
shear stress diagram to calculate
solids concentration in gelled
bed.
Pennekamp 2010, vane test
Acrivos analogy
7
Thomas 1999
6
5
4
3
same course as solids
effect on rheology
2
1
0
0.1
0.2
0.3
0.4
0.5
cb [-]
volumetric concentration coarse in bed
Korea–Australia Rheology Journal 2010
Bed consistency map
Effective transportation systems
100
a_cr=0.07

cr  0.07
carrier tauy [Pa]
gelled bed
gelled bed, carousel
granular bed, carousel & Wan, 1985
10
HDD Blerick, Talmon and Mastbergen, 2004
TT Syncrude, Spelay, 2007
granular bed
Strong NST, Sisson et al., 2012
1
Sunrise Dam, Fitton, 2007
Kimberley CTP, Pullum et al., 2010b
Coal-clay, Thomas, 1979a
0.1
0.1
1
10
(rhos-rhoc)/1650
d [m m ]
(ρ - ρ )/1650 d [mm]
s
f
100
Operational conditions
compared to static
settling condition:  y   cr s   f gd


Horizontal Directional Drilling: 2LM Sliding Bed
Drilling rig
Surface
Exit point
Entry point
P-logger
Drill head
Bentonite sand-slurry
Reamer diameter
Drill string
Bentonite fluid
fluid pressure in bore hole [kPa]
700
2LM transient calculation
Delft model
600
500
granular bed layer
400
gelled bed layer
pressure logger
300
200
100
0
0
100
200
distance to rig side [m ]
300
400
Kimberley CTP Tailings pipeline
Analysis with Delft model
Table 1 Calculated hydraulic gradients w.r.t. Kimberley CTP.
I [-] prototype
measured
0.085
homogeneous
0.061
Coulomb (µ=0.45)
0.35
Gelled bed (µ=0)
0.085
Pullum et al. (2010b)
0.085
overpredicted
Delft model
Coulomb i.c.w.
lumped parameter
Thickened Tailings Open Channel Oil
Sand Research
Analytical model for solids depletion in laminar
plug flow due to shear settling of coarse solids
IOSTC conf 2012
Result:
Fine Fluid Tailings
that will disperse
throughout pond
Conclusions
-Pay attention to the role of gelled bed under laminar flow.
-Occurrence and physical properties are predictable.
-If conditions are close to the transition gelled-granular bed,
questions concerning Coulomb friction coefficient remain.
-Laminar transportation is deemed possible by the very nature
of gelled beds.
-For beach and pond tailings segregated volumes of fines and
coarse can be quantified.
We aim at the entire system. Thank you!
Selected references
Sisson, R., Lacoste-Bouchet, P., Vera, M., Costello, M., Hedblom, E., Sheets, B., Nesler, D., Solseng, P., Fandrey, A., Van
Kesteren, W., Talmon, A. and Sittoni, L. (2012), An analytical model for tailings deposition developed from pilot-scale
testing, in: D. Sego, G.W. Wilson and N. Beier (eds.) proc. 3rd International Oil Sands Tailings Conference, Edmonton,
Alberta, Canada, December 2-5, 2012, pp.53-63.
Talmon, A.M. and Mastbergen, D.R. (2004) Solids transport by drilling fluids: Horizontal Directional Drilling, in
proceedings 12th International Conference on Transport and Sedimentation of Solid Particles, Praque, pp.641-649.
Talmon, A.M. and Huisman, M. (2005) Fall velocity of particles in shear flow of drilling fluids, J. Tunnelling and
Underground Space Technology, including Horizontal Directional Drilling, Vol. 20(2), pp.193-201.
Talmon, A.M. (2010) Regarding “Are tube viscometer data valid for suspension flows” [Letter to the editor], KoreaAustralia Rheology Journal, Vol. 22(3), pp.169-171.
Talmon, A.M., Kesteren, W.G.M. van, Sittoni, L., and Hedblom, E. (2014) Shear cell tests for quantification of tailings
segregation, Canadian J. Chemical Engineering, vol.92, pp.362-373.