Deploying Nanotechnology in Oil and Gas Operations: Pore ... · NANOTECHNOLOGY IN OIL AND GAS...
Transcript of Deploying Nanotechnology in Oil and Gas Operations: Pore ... · NANOTECHNOLOGY IN OIL AND GAS...
Deploying Nanotechnology in Oil and Gas Operations: Pore-Scale Modelling of Nanoparticle Adsorption-Desorption Behavior Boya Subhono, Mark Wilson, Nik Kapur,
Anne Neville, Harvey Thompson
University of Leeds, UK
PRESENTATION TOPICS
• Company Overview (2-3 minutes);
• Problem Description;
• Methodology;
• Conclusion;
• Future work
Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI)
• Largest insitute within the School of Mechanical Engineering at University of Leeds
• Top rated under UK Government Research Assessments
• Core strengths in
– Corrosion and erosion-corrosion
– Mineral scale management
– Combustion
– Tribology
– CFD
– Optimization
– Metrology
iETSI – Corrosion and Erosion-Corrosion
• Corrosion – Electrochemical assessment
– Corrosion in oil and gas (sweet and sour)
– Marine corrosion
– Evaluation of pitting and other localised corrosion
– Stainless steels, Cu-based alloys, CRAs
• Erosion-corrosion – Erosion-corrosion assessment
– Erosion-corrosion modelling
– Cavitation-corrosion
– Mitigation using chemicals
• Coating development and assessment – Assessment of damage mechanisms on composite coatings
– Development of new HVOF coatings
iETSI – Mineral scaling
• Surface deposition – Kinetics and mechanisms of surface deposition and adhesion
– Adhesion assessment by fluid flow analysis
– Calcium carbonate and barium sulphate
• Wide Angle X-Ray Diffraction (WAXRD) – Tube blocking tests with online sensing
– In situ measurement of crystal formation (Brookhaven, US)
• Anti-fouling surfaces – Assessment of surfaces for low fouling
– Surface modification by chemical and physical means
iETSI – Advanced Coatings Design Lab
• State-of-the-art commercial scale PVD system
– Application-driven research approach
– Synergy with tribology and surfaces/interfaces research
iETSI – Extensive surface analysis capability
0
1.8 mm
50
25
2.3 mm
μm
iETSI – Oil and Gas Education
• MSc Oilfield Corrosion Engineering
– Tailored MSc for the oil & gas industry
– Provides students with skills needed to practise as Corrosion Engineers in the oil & gas sector
– Led by Professor Anne Neville
• Modules include
Corrosion Corrosion Prediction
Mettalurgy & Welding Flow-induced Corrosion
Surface Engineering Coatings, linings & non-metallics
Corrosion Inhibition Risk Assessment
Corrosion Monitoring Erosion-Corrosion
NANOTECHNOLOGY IN OIL AND GAS
• Rapidly growing interest in nanotechnology in oil and gas industry, as highlighted by recent SPE conference
• Example applications include using nanoparticles for
– Agents for modifying surface wettability
– Mobilization agents for recovery of residual oil
– Enhancing mineral scale management systems
– Enhanced drilling fluids
– Water shut-off
NANOPARTICLE TRANSPORT
• Problem in using nanoparticles downhole is understanding and controlling nanoparticle transport through porous media
• Nanoparticles need to be delivered to the required location
• Nanoparticles need to adsorb/desorb to/from surfaces of they are to change surface properties e.g. wettability – effect of flow?
• Experimental corefloods can give some idea of macroscopic effects and changes in behavior, but give no indication of pore-level coverage or mechanisms
NANOPARTICLE TRANSPORT
Inject e.g.
nanoparticle
suspension
Monitor
effluent
Rock core sample
What is the
distribution and
coverage inside?
• Pore-scale CFD can help explore nanoparticle transport and adsorption and desorption
NANOPARTICLE TRANSPORT
AIM & METHODOLOGY
• Aim is to explore the effect of flow on adsorption
• Consider flows in idealized pore-scale geometries
• Finite element analysis
• Build up understanding of influence of flow and geometry on adsorption and desorption
• Infer behavior in much larger pore networks
MODEL
• Treat nanoparticle suspension as a dilute suspension with a continuous concentration field
• Navier-Stokes equations for (steady) fluid flow
• One-way coupling of (time-dependent) advection-diffusion equation for nanofluid concentration
• Freundlich adsorption-desorption model
GEOMETRY CONSIDERED
• To isolate effect of inclination of surface to main flow direction, consider:
90 ͦᵒ
0ͦᵒ 180 ͦᵒ
0ͦᵒ
45ᵒ 90ᵒ 135ᵒ
180 ͦᵒ
Active adsorption surfaces Flow
α
Flow direction
GOVERNING EQUATIONS AND BOUNDARY CONDITIONS
Surface concentration of adsorbed species Bulk concentration
GOVERNING EQUATIONS AND BOUNDARY CONDITIONS
SIMULATION CONDITIONS
Description Value Unit
Initial concentration in place 0 mol/m3
Inlet discharge concentration 1000 mol/m3
Adsorption rate constant 1.00E-06 m3/(s.mol)
Desorption rate constant 1.00E-09 1/s
Water Diffusivity 1.60E-09 m2/s
Channel width 1.00E-05 m
Simulation time length 2.00E+03 s
Particle diameter 1.20E-09 m
Inlet pressure 3 Pa
Outlet pressure 0 Pa
RESULTS
Velocity field
RESULTS
Concentration field at steady state
RESULTS
Bu
lk c
oncentr
atio
n a
t th
e a
ctive s
urf
ace
Arc length around octagon
Higher
concentration
at the edge
that is
perpendicular
to and facing
the flow
RESULTS
Re
du
ctio
n in c
oncen
tration
of adso
rbed
sp
ecie
s c
om
pare
d to s
urf
ace facin
g flo
w
time
CONCLUSIONS
• CFD offers the opportunity to explore nanoparticle penetration and distribution within pore networks
• To begin, simple geometries considered to explore local effects
• Through variations in the bulk concentration at the surface, fluid flow has been shown to influence the local adsorption of nanoparticles
• However, flow is not explicitly included in the material balance (adsorption-desorption) equation
FUTURE WORK
• Adsorption experiments using micromodels to verify the correct adsorption-desorption model to be used
• Extension to more complicated pore networks
• Extension to 3D
ACKNOWLEDGEMENTS
This work was supported by the Flow Assurance and Scale Team (FAST) Joint Industry Project
Thank you for your attention