SlideShare a Scribd company logo
1 of 34
www.bhrgroup.co.uk
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Discretisation, characterisation,
and complexification of multiphase
pipeline elevation profiles
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Contents
• Context
• Profile discretisation
• Method (MPT 2009, Cannes)
• Recommendations and lessons learnt
• Profile characterisation
• Roughness indicators and regression
• Profile complexification
• Method and example
• Conclusions
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Context
• Bathymetric / hypsometric data for the concept
select phase of field developments are usually scarce
• Detailed profile data from geophysical surveys or
pipeline inspection may be available later
‐100
‐50
0
0 50 100 150 200 250
Elevation [m]
Distance [km]
Detailed profile Early profile
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Liquid holdup vs. pipe angle (gas transport)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
‐5 ‐4 ‐3 ‐2 ‐1 0 1 2 3 4 5 6 7 8 9 10
Condensate holdup [‐]
Pipe inclination [deg]
Dry gas‐condensate 
Condensate holdup vs. pipe inclination
and gas superficial velocity (Usg)
Usg=1.05 m/s Usg=1.58 m/s Usg=2.12 m/s
Usg=2.65 m/s Usg=3.19 m/s Usg=3.73 m/s
Usg=4.27 m/s Usg=4.81 m/s Usg=5.35 m/s
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
‐5 ‐4 ‐3 ‐2 ‐1 0 1 2 3 4 5 6 7 8 9 10Total liquid holdup [‐]
Pipe inclination [deg]
Wet gas‐condensate 
Total liquid holdup vs. pipe inclination
and gas superficial velocity (Usg)
Usg=1.06 m/s Usg=1.60 m/s Usg=2.14 m/s
Usg=2.67 m/s Usg=3.22 m/s Usg=3.76 m/s
Usg=4.30 m/s Usg=4.83 m/s Usg=5.34 m/s
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Water holdup vs. pipe angle (oil transport)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
‐5 ‐4 ‐3 ‐2 ‐1 0 1 2 3 4 5 6 7 8 9 10
Water holdup [‐]
Pipe inclination [deg]
Oil & water
Water holdup vs. pipe inclination
and oil superficial velocity (Uso)
Uso=0.07 m/s Uso=0.10 m/s Uso=0.13 m/s
Uso=0.20 m/s Uso=0.27 m/s Uso=0.40 m/s
Uso=0.67 m/s Uso=0.93 m/s Uso=2.00 m/s
0
0.1
0.2
0.3
0.4
0.5
0.6
‐5 ‐4 ‐3 ‐2 ‐1 0 1 2 3 4 5 6 7 8 9 10Water holdup [‐]
Pipe inclination [deg]
Oil, water & gas 
Water liquid holdup vs. pipe inclination
and oil superficial velocity (Uso)
Uso=0.25 m/s Uso=0.41 m/s Uso=0.58 m/s
Uso=0.75 m/s Uso=0.91 m/s Uso=1.08 m/s
Uso=1.24 m/s Uso=1.41 m/s Uso=2.08 m/s
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Methodology
• Complexification of scarce elevation contours is
recommended to model the influence of the terrain
roughness on the hydrodynamic behaviour of multiphase
flows
• Simplification of detailed bottom-of-pipe and terrain
profiles is necessary
• to produce suitable profiles for the dynamic simulation
of multiphase flows
• while preserving the hydrodynamic behaviour of the
original (detailed) profile  Discretisation
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Profile discretisation: minimum requirements
1. Both horizontal span and length should be preserved
2. The angle distribution of the discretised profile should
be as close as possible to the original distribution
3. The Total Climb (sum of uphill flow elevation changes)
should be conserved
Original profile
2
1
3
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Additional requirements for dynamic simulation
1. The overall shape (large and small scale undulations)
should be preserved
2. The distribution of segment lengths should be as
uniform as possible
1
2
Original profile
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Discretisation method (MPT 2009, Cannes)
1. Select data points from the original profile
2. Add intermediate segments
3. Change the elevation of intermediate segments
randomly to match the original Profile Indicator and
Total Climb
‐120
‐119
‐118
‐117
‐116
48,000 48,500 49,000 49,500 50,000
Elevation [m]
Distance [m]
Original profile
Discretised profile
Simplified profile
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Profile Indicator and Total Climb
0
0.1
0.2
0.3
0.4
0.5
‐5 0 5 10Holdup [‐]
Pipe angle [% or deg]
[%]
[deg]
= segment angle in %
= segment length
= segment elevation change
= total number of segments
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Recommendations
• The resolution of the original profile should (ideally) be
about 3 metres and should not exceed 50 m or so
• Scarce and steep sub-profiles must be removed from the
original profile
• Detailed portions can be used to generate roughness
indicators for scarce sub-profile data
• Rough simplification of vertical or steep geometries may be
required to avoid severe time step limitation during dynamic
simulation
• Any noise in the profile data must be filtered to remove
any unphysical roughness
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Lessons learnt
• Step 1: Can the discretisation of pipeline profiles be
limited to a selection of original points?
• Yes if the Terrain Indicator profile is close to zero
• Step 2: four (4) intermediate segments are adequate in
most cases for complexification
• Step 3: complexification can be run on uniform
distributions of sub-profiles
• A constant 10 km span (or so) is adequate in most cases
• Lumping of sub-profiles is not necessary
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
• The relative difference between original and
discretised Total Climbs shall not exceed 1%
• A larger deviation is acceptable for the Profile Indicator
• but a difference < 1% is feasible in most cases
• An increase in the number of original points in Step 1 is
the best method to improve the angle distribution fidelity
and capture original terrain undulations
Lessons learnt
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
‐600
‐400
‐200
0 10 20 30 40
Elevation [m]
Distance [km]
Two pipeline profiles with a Total Climb of 400 m
Characterisation and complexification
• The Profile Indicator and Total Climb are two practical
indicators to quantify the propensity of a pipeline for
accumulating liquids
• However both combine small scale features (terrain
roughness) and large scale undulations (overall profile)
Rugged seabed (PI = 88)
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Roughness indicators
‐140
‐130
‐120
0 5,000 10,000
Elevation [m]
Distance [m]
Original bottom‐of‐pipe profile Smooth profile
x
z
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Region-specific regressions
y = 0.1546x ‐ 4.2183
0
4
8
12
16
20 40 60 80 100 120
Terrain Indicator [‐]
Rough Profile Indicator [‐]
Barents Sea
Pipeline A Pipeline B
y = 0.0652x + 0.1076
0
1
2
3
0 10 20 30 40 50
Terrain Indicator [‐]
Rough Profile Indicator [‐]
Persian Gulf
Pipeline A Pipeline B Pipeline C
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Region-specific regressions
y = 0.0848x ‐ 0.3796
0
1
2
3
4
5
6
7
8
9
0 20 40 60 80 100
Terrain Indicator [‐]
Rough Profile Indicator [‐]
North Sea
Pipeline A Pipeline B Pipeline C
y = 0.0739x + 0.1084
0
1
2
3
4
5
0 10 20 30 40 50 60
Terrain Indicator [‐]
Rough Profile Indicator [‐]
North West Shelf
Pipeline A Pipeline B
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Region-specific regressions
y = 0.0896x ‐ 0.2207
0
2
4
6
8
10
12
0 20 40 60 80 100
Terrain Indicator [‐]
Rough Profile Indicator [‐]
Timor Sea
Pipeline A Pipeline B
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Seabed profile vs. bottom-of-pipe profile
0
2
4
6
8
0 20 40 60 80 100
Terrain Indicator [‐]
Rough Profile Indicator [‐]
North West Shelf Pipeline A
Seabed Bottom‐of‐pipe (normal op. conditions)
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
0
2
4
6
0 10 20 30 40 50 60
Terrain Indicator [‐]
Rough Profile Indicator [‐]
North West Shelf Pipeline A
Bottom‐of‐Pipe (normal op. conditions)
Seabed features
Rugged terrain
(scarps, ridges)
Benign features
(megaripples, sandwaves)
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Complexification method: example
y = 0.0739x + 0.1084
0
1
2
3
4
5
0 10 20 30 40 50 60
Terrain Indicator [‐]
Rough Profile Indicator [‐]
North West Shelf
Pipeline A Pipeline B
‐120
‐100
‐80
‐60
‐40
‐20
0
0 100 200 300Elevation [m]
Distance [km]
Dummy pipeline 
elevation profile
RPI = 50
RPI = 10
Original Profile
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Complexification method
1. Split each straight sub-profile into segments of same
distance (e.g. 1 km)
2. Add intermediate segments
3. Change the elevation of intermediate segments
randomly to match the Total Climb (and Profile
Indicator) calculated from the regression between the
Terrain Indicator and Rough Profile Indicator
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Angle distribution and indicators
Original profile
(RPI = 0)
RPI = 10 RPI = 50
Profile indicator [-] 3.8 11.5 58.7
Total climb [m] 100 363 1,282
0
50,000
100,000
150,000
200,000
250,000
Total pipe length per 
angle group [m]
Pipe angle group [deg]
RPI = 50
RPI = 10
Original profile (RPI = 0)
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Dry gas-condensate flow: simulation results
0
5,000
10,000
15,000
20,000
0 20 40
Condy  accumulation [m3]
Total mass flow rate [kg/s]
Dry gas‐condensate flow
Condy accumulation vs. mass flow rate
RPI = 50
RPI = 10
Original profile
0
20
40
60
80
100
0 20 40
Pressure drop [bar] Total mass flow rate [kg/s]
Dry gas‐condensate flow
Pressure drop vs. mass flow rate
RPI = 50
RPI = 10
Original profile
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Wet-gas condensate flow: simulation results
0
5,000
10,000
15,000
20,000
0 20 40 60 80 100
Liquid accumulation [m3]
Total mass flow rate [kg/s]
Wet gas‐condensate flow
Liquid accumulation vs. mass flow rate
RPI = 50
RPI = 10
Original profile
0
40
80
120
0 20 40 60 80 100
Pressure drop [bar] Total mass flow rate [kg/s]
Wet gas‐condensate flow
Pressure drop vs. mass flow rate
RPI = 50
RPI = 10
Original profile
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Two-phase oil-water flow: simulation results
0
5,000
10,000
15,000
20,000
25,000
30,000
0 50 100 150 200
Water accumulation [m3]
Total mass flow rate [kg/s]
Two‐phase oil‐water flow
Water accumulation vs. mass flow rate
RPI = 50
RPI = 10
Original profile
0
20
40
60
80
100
0 50 100 150 200
Pressure drop [bar] Total mass flow rate [kg/s]
Two‐phase oil‐water flow
Pressure drop vs. mass flow rate
RPI = 50
RPI = 10
Original profile
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
3-phase oil-water-gas flow: simulation results
0
50
100
150
0 50 100 150 200
Pressure drop [bar] Total mass flow rate [kg/s]
Three‐phase oil‐water‐gas flow
Pressure drop vs. mass flow rate
RPI = 50
RPI = 10
Original profile
20,000
25,000
30,000
35,000
40,000
0 100 200
Water accumulation [m3]
Total mass flow rate [kg/s]
Three‐phase oil‐water‐gas flow
Water accumulation vs. mass flow rate
RPI = 50
RPI = 10
Original profile
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Conclusions
• Region-specific regressions between roughness
indicators can be used to generate representative,
complexified profiles when detailed seabed data are not
available
• Non-dimensional indicators can be used to:
• Quantify the roughness of pipeline elevation profiles
• Model the smoothing effect of pipeline laying on the seabed
profile (using reduced roughness indicators)
• Anticipate the severity of hydrodynamic phenomena such
as liquid build-up for various pipeline routes
• Improve the interpretation of multiphase flow simulations
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Discretisation, characterisation, and
complexification of multiphase pipeline
elevation profiles
Erich Zakarian & Julie Morgan
Woodside Energy Ltd, Australia
erich.zakarian@woodside.com.au
julie.morgan1@woodside.com.au
Henning Holm
Statoil, Norway
hthol@statoil.com
Dominique Larrey
Total, France
dominique.larrey@total.com
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Back-up slides
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Smooth Profile Indicator (SPI)
‐100
‐50
0
50
100
150
200
250
300
350
400
‐10 ‐5 0 5 10
Smooth Profile Indicator [‐]
Sub‐profile inclination [deg or %]
Smooth profile indicator (SPI) vs. sub‐profile inclination 
SPI vs. inclination [deg] SPI vs. inclination [%]
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Rough Profile Indicator (RPI)
‐250
‐200
‐150
‐100
‐50
0
50
100
150
200
250
‐100
‐50
0
50
100
150
200
250
300
350
400
‐10 ‐5 0 5 10
Rough Profile Indicator [‐]
Profile Indicator [‐]
Sub‐profile inclination [deg]
PI and RPI vs. sub‐profile inclination 
Profile Indicator (PI) [‐] Rough Profile Indicator (RPI) [‐]
Terrain Indicator [‐] = 10
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Pipeline profile database: TI vs. RPI
0
2
4
6
8
10
12
0 20 40 60 80
Terrain Indicator [‐]
Rough Profile Indicator [‐]
Timor Sea Persian Gulf North West Shelf North Sea
16th International Conference on Multiphase Production Technology
Cannes, France 12 – 14 June 2013
Pipeline profile database: TI vs. RPI
0
2
4
6
8
10
12
14
16
18
0 20 40 60 80 100 120
Terrain Indicator [‐]
Rough Profile Indicator [‐]
Timor Sea Persian Gulf North West Shelf North Sea Barents Sea

More Related Content

Similar to Presentation bhrg 2013_cannes_v5

Synthesis of pile driving data in South East Asia
Synthesis of pile driving data in South East AsiaSynthesis of pile driving data in South East Asia
Synthesis of pile driving data in South East AsiaCathie Associates
 
487665348-PPT-on-FALLING-WEIGHT-DEFLECTOMETER.pptx
487665348-PPT-on-FALLING-WEIGHT-DEFLECTOMETER.pptx487665348-PPT-on-FALLING-WEIGHT-DEFLECTOMETER.pptx
487665348-PPT-on-FALLING-WEIGHT-DEFLECTOMETER.pptxCarlo882478
 
Developing a New Auto-Loading Analytical Prober
Developing a New Auto-Loading Analytical ProberDeveloping a New Auto-Loading Analytical Prober
Developing a New Auto-Loading Analytical ProberPhillip Corson
 
Company profile Aeronautical Spray Booths LAGOS
Company profile Aeronautical Spray Booths LAGOSCompany profile Aeronautical Spray Booths LAGOS
Company profile Aeronautical Spray Booths LAGOSLagos Surface Treatment
 
Technical Prospects of Floating LNG
Technical Prospects of Floating LNGTechnical Prospects of Floating LNG
Technical Prospects of Floating LNGRonak Sani
 
Nyk and weather routing
Nyk and weather routingNyk and weather routing
Nyk and weather routingydmisra
 
3rd Technical Meeting - WP7
3rd Technical Meeting - WP73rd Technical Meeting - WP7
3rd Technical Meeting - WP7SLOPE Project
 
The PROuD project - Flying into the future with the PBN flight procedures
The PROuD project - Flying into the future with the PBN flight procedures The PROuD project - Flying into the future with the PBN flight procedures
The PROuD project - Flying into the future with the PBN flight procedures PROuD Project
 
VEGA Pressure & Level Measurement – Shipbuilding Industry Applications
VEGA Pressure & Level Measurement – Shipbuilding Industry ApplicationsVEGA Pressure & Level Measurement – Shipbuilding Industry Applications
VEGA Pressure & Level Measurement – Shipbuilding Industry ApplicationsThorne & Derrick UK
 
Formal estimation of worst case communication latency in a network on chip fi...
Formal estimation of worst case communication latency in a network on chip fi...Formal estimation of worst case communication latency in a network on chip fi...
Formal estimation of worst case communication latency in a network on chip fi...Vinita Palaniveloo
 
Using ArcGIS Spatial Analyst, Finding Suitable Location in Khan Dang Kao for ...
Using ArcGIS Spatial Analyst, Finding Suitable Location in Khan Dang Kao for ...Using ArcGIS Spatial Analyst, Finding Suitable Location in Khan Dang Kao for ...
Using ArcGIS Spatial Analyst, Finding Suitable Location in Khan Dang Kao for ...Opendevelopmentcambodia
 
Using spatial analysis
Using spatial analysisUsing spatial analysis
Using spatial analysisKalyan Loch
 
An Example for Borehole Seismology in Marmara Sea
An Example for Borehole Seismology in Marmara SeaAn Example for Borehole Seismology in Marmara Sea
An Example for Borehole Seismology in Marmara SeaAli Osman Öncel
 
Civil-Report on industrial training at URCC
Civil-Report on industrial training at URCCCivil-Report on industrial training at URCC
Civil-Report on industrial training at URCCRakshita Raghunath
 

Similar to Presentation bhrg 2013_cannes_v5 (20)

Synthesis of pile driving data in South East Asia
Synthesis of pile driving data in South East AsiaSynthesis of pile driving data in South East Asia
Synthesis of pile driving data in South East Asia
 
Bhrg 2009 no_backup
Bhrg 2009 no_backupBhrg 2009 no_backup
Bhrg 2009 no_backup
 
2013 tms gvu hyprop
2013 tms gvu hyprop2013 tms gvu hyprop
2013 tms gvu hyprop
 
AURA: Aerial Unpaved Roads Assessment System Demonstration - October 20, 2015
AURA: Aerial Unpaved Roads Assessment System Demonstration - October 20, 2015AURA: Aerial Unpaved Roads Assessment System Demonstration - October 20, 2015
AURA: Aerial Unpaved Roads Assessment System Demonstration - October 20, 2015
 
487665348-PPT-on-FALLING-WEIGHT-DEFLECTOMETER.pptx
487665348-PPT-on-FALLING-WEIGHT-DEFLECTOMETER.pptx487665348-PPT-on-FALLING-WEIGHT-DEFLECTOMETER.pptx
487665348-PPT-on-FALLING-WEIGHT-DEFLECTOMETER.pptx
 
Standard or Metre Gauge
Standard or Metre GaugeStandard or Metre Gauge
Standard or Metre Gauge
 
Developing a New Auto-Loading Analytical Prober
Developing a New Auto-Loading Analytical ProberDeveloping a New Auto-Loading Analytical Prober
Developing a New Auto-Loading Analytical Prober
 
Company profile Aeronautical Spray Booths LAGOS
Company profile Aeronautical Spray Booths LAGOSCompany profile Aeronautical Spray Booths LAGOS
Company profile Aeronautical Spray Booths LAGOS
 
Technical Prospects of Floating LNG
Technical Prospects of Floating LNGTechnical Prospects of Floating LNG
Technical Prospects of Floating LNG
 
Nyk and weather routing
Nyk and weather routingNyk and weather routing
Nyk and weather routing
 
3rd Technical Meeting - WP7
3rd Technical Meeting - WP73rd Technical Meeting - WP7
3rd Technical Meeting - WP7
 
The PROuD project - Flying into the future with the PBN flight procedures
The PROuD project - Flying into the future with the PBN flight procedures The PROuD project - Flying into the future with the PBN flight procedures
The PROuD project - Flying into the future with the PBN flight procedures
 
VEGA Pressure & Level Measurement – Shipbuilding Industry Applications
VEGA Pressure & Level Measurement – Shipbuilding Industry ApplicationsVEGA Pressure & Level Measurement – Shipbuilding Industry Applications
VEGA Pressure & Level Measurement – Shipbuilding Industry Applications
 
Formal estimation of worst case communication latency in a network on chip fi...
Formal estimation of worst case communication latency in a network on chip fi...Formal estimation of worst case communication latency in a network on chip fi...
Formal estimation of worst case communication latency in a network on chip fi...
 
Using ArcGIS Spatial Analyst, Finding Suitable Location in Khan Dang Kao for ...
Using ArcGIS Spatial Analyst, Finding Suitable Location in Khan Dang Kao for ...Using ArcGIS Spatial Analyst, Finding Suitable Location in Khan Dang Kao for ...
Using ArcGIS Spatial Analyst, Finding Suitable Location in Khan Dang Kao for ...
 
Using spatial analysis
Using spatial analysisUsing spatial analysis
Using spatial analysis
 
Vertical metering skid
Vertical metering skid Vertical metering skid
Vertical metering skid
 
An Example for Borehole Seismology in Marmara Sea
An Example for Borehole Seismology in Marmara SeaAn Example for Borehole Seismology in Marmara Sea
An Example for Borehole Seismology in Marmara Sea
 
Civil-Report on industrial training at URCC
Civil-Report on industrial training at URCCCivil-Report on industrial training at URCC
Civil-Report on industrial training at URCC
 
Real time traffic management - challenges and solutions
Real time traffic management - challenges and solutionsReal time traffic management - challenges and solutions
Real time traffic management - challenges and solutions
 

Recently uploaded

Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsAndrey Dotsenko
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsHyundai Motor Group
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 

Recently uploaded (20)

Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 

Presentation bhrg 2013_cannes_v5

  • 1. www.bhrgroup.co.uk 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Discretisation, characterisation, and complexification of multiphase pipeline elevation profiles
  • 2. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Contents • Context • Profile discretisation • Method (MPT 2009, Cannes) • Recommendations and lessons learnt • Profile characterisation • Roughness indicators and regression • Profile complexification • Method and example • Conclusions
  • 3. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Context • Bathymetric / hypsometric data for the concept select phase of field developments are usually scarce • Detailed profile data from geophysical surveys or pipeline inspection may be available later ‐100 ‐50 0 0 50 100 150 200 250 Elevation [m] Distance [km] Detailed profile Early profile
  • 4. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Liquid holdup vs. pipe angle (gas transport) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 ‐5 ‐4 ‐3 ‐2 ‐1 0 1 2 3 4 5 6 7 8 9 10 Condensate holdup [‐] Pipe inclination [deg] Dry gas‐condensate  Condensate holdup vs. pipe inclination and gas superficial velocity (Usg) Usg=1.05 m/s Usg=1.58 m/s Usg=2.12 m/s Usg=2.65 m/s Usg=3.19 m/s Usg=3.73 m/s Usg=4.27 m/s Usg=4.81 m/s Usg=5.35 m/s 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 ‐5 ‐4 ‐3 ‐2 ‐1 0 1 2 3 4 5 6 7 8 9 10Total liquid holdup [‐] Pipe inclination [deg] Wet gas‐condensate  Total liquid holdup vs. pipe inclination and gas superficial velocity (Usg) Usg=1.06 m/s Usg=1.60 m/s Usg=2.14 m/s Usg=2.67 m/s Usg=3.22 m/s Usg=3.76 m/s Usg=4.30 m/s Usg=4.83 m/s Usg=5.34 m/s
  • 5. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Water holdup vs. pipe angle (oil transport) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ‐5 ‐4 ‐3 ‐2 ‐1 0 1 2 3 4 5 6 7 8 9 10 Water holdup [‐] Pipe inclination [deg] Oil & water Water holdup vs. pipe inclination and oil superficial velocity (Uso) Uso=0.07 m/s Uso=0.10 m/s Uso=0.13 m/s Uso=0.20 m/s Uso=0.27 m/s Uso=0.40 m/s Uso=0.67 m/s Uso=0.93 m/s Uso=2.00 m/s 0 0.1 0.2 0.3 0.4 0.5 0.6 ‐5 ‐4 ‐3 ‐2 ‐1 0 1 2 3 4 5 6 7 8 9 10Water holdup [‐] Pipe inclination [deg] Oil, water & gas  Water liquid holdup vs. pipe inclination and oil superficial velocity (Uso) Uso=0.25 m/s Uso=0.41 m/s Uso=0.58 m/s Uso=0.75 m/s Uso=0.91 m/s Uso=1.08 m/s Uso=1.24 m/s Uso=1.41 m/s Uso=2.08 m/s
  • 6. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Methodology • Complexification of scarce elevation contours is recommended to model the influence of the terrain roughness on the hydrodynamic behaviour of multiphase flows • Simplification of detailed bottom-of-pipe and terrain profiles is necessary • to produce suitable profiles for the dynamic simulation of multiphase flows • while preserving the hydrodynamic behaviour of the original (detailed) profile  Discretisation
  • 7. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Profile discretisation: minimum requirements 1. Both horizontal span and length should be preserved 2. The angle distribution of the discretised profile should be as close as possible to the original distribution 3. The Total Climb (sum of uphill flow elevation changes) should be conserved Original profile 2 1 3
  • 8. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Additional requirements for dynamic simulation 1. The overall shape (large and small scale undulations) should be preserved 2. The distribution of segment lengths should be as uniform as possible 1 2 Original profile
  • 9. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Discretisation method (MPT 2009, Cannes) 1. Select data points from the original profile 2. Add intermediate segments 3. Change the elevation of intermediate segments randomly to match the original Profile Indicator and Total Climb ‐120 ‐119 ‐118 ‐117 ‐116 48,000 48,500 49,000 49,500 50,000 Elevation [m] Distance [m] Original profile Discretised profile Simplified profile
  • 10. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Profile Indicator and Total Climb 0 0.1 0.2 0.3 0.4 0.5 ‐5 0 5 10Holdup [‐] Pipe angle [% or deg] [%] [deg] = segment angle in % = segment length = segment elevation change = total number of segments
  • 11. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Recommendations • The resolution of the original profile should (ideally) be about 3 metres and should not exceed 50 m or so • Scarce and steep sub-profiles must be removed from the original profile • Detailed portions can be used to generate roughness indicators for scarce sub-profile data • Rough simplification of vertical or steep geometries may be required to avoid severe time step limitation during dynamic simulation • Any noise in the profile data must be filtered to remove any unphysical roughness
  • 12. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Lessons learnt • Step 1: Can the discretisation of pipeline profiles be limited to a selection of original points? • Yes if the Terrain Indicator profile is close to zero • Step 2: four (4) intermediate segments are adequate in most cases for complexification • Step 3: complexification can be run on uniform distributions of sub-profiles • A constant 10 km span (or so) is adequate in most cases • Lumping of sub-profiles is not necessary
  • 13. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 • The relative difference between original and discretised Total Climbs shall not exceed 1% • A larger deviation is acceptable for the Profile Indicator • but a difference < 1% is feasible in most cases • An increase in the number of original points in Step 1 is the best method to improve the angle distribution fidelity and capture original terrain undulations Lessons learnt
  • 14. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 ‐600 ‐400 ‐200 0 10 20 30 40 Elevation [m] Distance [km] Two pipeline profiles with a Total Climb of 400 m Characterisation and complexification • The Profile Indicator and Total Climb are two practical indicators to quantify the propensity of a pipeline for accumulating liquids • However both combine small scale features (terrain roughness) and large scale undulations (overall profile) Rugged seabed (PI = 88)
  • 15. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Roughness indicators ‐140 ‐130 ‐120 0 5,000 10,000 Elevation [m] Distance [m] Original bottom‐of‐pipe profile Smooth profile x z
  • 16. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Region-specific regressions y = 0.1546x ‐ 4.2183 0 4 8 12 16 20 40 60 80 100 120 Terrain Indicator [‐] Rough Profile Indicator [‐] Barents Sea Pipeline A Pipeline B y = 0.0652x + 0.1076 0 1 2 3 0 10 20 30 40 50 Terrain Indicator [‐] Rough Profile Indicator [‐] Persian Gulf Pipeline A Pipeline B Pipeline C
  • 17. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Region-specific regressions y = 0.0848x ‐ 0.3796 0 1 2 3 4 5 6 7 8 9 0 20 40 60 80 100 Terrain Indicator [‐] Rough Profile Indicator [‐] North Sea Pipeline A Pipeline B Pipeline C y = 0.0739x + 0.1084 0 1 2 3 4 5 0 10 20 30 40 50 60 Terrain Indicator [‐] Rough Profile Indicator [‐] North West Shelf Pipeline A Pipeline B
  • 18. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Region-specific regressions y = 0.0896x ‐ 0.2207 0 2 4 6 8 10 12 0 20 40 60 80 100 Terrain Indicator [‐] Rough Profile Indicator [‐] Timor Sea Pipeline A Pipeline B
  • 19. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Seabed profile vs. bottom-of-pipe profile 0 2 4 6 8 0 20 40 60 80 100 Terrain Indicator [‐] Rough Profile Indicator [‐] North West Shelf Pipeline A Seabed Bottom‐of‐pipe (normal op. conditions)
  • 20. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 0 2 4 6 0 10 20 30 40 50 60 Terrain Indicator [‐] Rough Profile Indicator [‐] North West Shelf Pipeline A Bottom‐of‐Pipe (normal op. conditions) Seabed features Rugged terrain (scarps, ridges) Benign features (megaripples, sandwaves)
  • 21. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Complexification method: example y = 0.0739x + 0.1084 0 1 2 3 4 5 0 10 20 30 40 50 60 Terrain Indicator [‐] Rough Profile Indicator [‐] North West Shelf Pipeline A Pipeline B ‐120 ‐100 ‐80 ‐60 ‐40 ‐20 0 0 100 200 300Elevation [m] Distance [km] Dummy pipeline  elevation profile RPI = 50 RPI = 10 Original Profile
  • 22. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Complexification method 1. Split each straight sub-profile into segments of same distance (e.g. 1 km) 2. Add intermediate segments 3. Change the elevation of intermediate segments randomly to match the Total Climb (and Profile Indicator) calculated from the regression between the Terrain Indicator and Rough Profile Indicator
  • 23. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Angle distribution and indicators Original profile (RPI = 0) RPI = 10 RPI = 50 Profile indicator [-] 3.8 11.5 58.7 Total climb [m] 100 363 1,282 0 50,000 100,000 150,000 200,000 250,000 Total pipe length per  angle group [m] Pipe angle group [deg] RPI = 50 RPI = 10 Original profile (RPI = 0)
  • 24. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Dry gas-condensate flow: simulation results 0 5,000 10,000 15,000 20,000 0 20 40 Condy  accumulation [m3] Total mass flow rate [kg/s] Dry gas‐condensate flow Condy accumulation vs. mass flow rate RPI = 50 RPI = 10 Original profile 0 20 40 60 80 100 0 20 40 Pressure drop [bar] Total mass flow rate [kg/s] Dry gas‐condensate flow Pressure drop vs. mass flow rate RPI = 50 RPI = 10 Original profile
  • 25. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Wet-gas condensate flow: simulation results 0 5,000 10,000 15,000 20,000 0 20 40 60 80 100 Liquid accumulation [m3] Total mass flow rate [kg/s] Wet gas‐condensate flow Liquid accumulation vs. mass flow rate RPI = 50 RPI = 10 Original profile 0 40 80 120 0 20 40 60 80 100 Pressure drop [bar] Total mass flow rate [kg/s] Wet gas‐condensate flow Pressure drop vs. mass flow rate RPI = 50 RPI = 10 Original profile
  • 26. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Two-phase oil-water flow: simulation results 0 5,000 10,000 15,000 20,000 25,000 30,000 0 50 100 150 200 Water accumulation [m3] Total mass flow rate [kg/s] Two‐phase oil‐water flow Water accumulation vs. mass flow rate RPI = 50 RPI = 10 Original profile 0 20 40 60 80 100 0 50 100 150 200 Pressure drop [bar] Total mass flow rate [kg/s] Two‐phase oil‐water flow Pressure drop vs. mass flow rate RPI = 50 RPI = 10 Original profile
  • 27. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 3-phase oil-water-gas flow: simulation results 0 50 100 150 0 50 100 150 200 Pressure drop [bar] Total mass flow rate [kg/s] Three‐phase oil‐water‐gas flow Pressure drop vs. mass flow rate RPI = 50 RPI = 10 Original profile 20,000 25,000 30,000 35,000 40,000 0 100 200 Water accumulation [m3] Total mass flow rate [kg/s] Three‐phase oil‐water‐gas flow Water accumulation vs. mass flow rate RPI = 50 RPI = 10 Original profile
  • 28. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Conclusions • Region-specific regressions between roughness indicators can be used to generate representative, complexified profiles when detailed seabed data are not available • Non-dimensional indicators can be used to: • Quantify the roughness of pipeline elevation profiles • Model the smoothing effect of pipeline laying on the seabed profile (using reduced roughness indicators) • Anticipate the severity of hydrodynamic phenomena such as liquid build-up for various pipeline routes • Improve the interpretation of multiphase flow simulations
  • 29. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Discretisation, characterisation, and complexification of multiphase pipeline elevation profiles Erich Zakarian & Julie Morgan Woodside Energy Ltd, Australia erich.zakarian@woodside.com.au julie.morgan1@woodside.com.au Henning Holm Statoil, Norway hthol@statoil.com Dominique Larrey Total, France dominique.larrey@total.com
  • 30. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Back-up slides
  • 31. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Smooth Profile Indicator (SPI) ‐100 ‐50 0 50 100 150 200 250 300 350 400 ‐10 ‐5 0 5 10 Smooth Profile Indicator [‐] Sub‐profile inclination [deg or %] Smooth profile indicator (SPI) vs. sub‐profile inclination  SPI vs. inclination [deg] SPI vs. inclination [%]
  • 32. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Rough Profile Indicator (RPI) ‐250 ‐200 ‐150 ‐100 ‐50 0 50 100 150 200 250 ‐100 ‐50 0 50 100 150 200 250 300 350 400 ‐10 ‐5 0 5 10 Rough Profile Indicator [‐] Profile Indicator [‐] Sub‐profile inclination [deg] PI and RPI vs. sub‐profile inclination  Profile Indicator (PI) [‐] Rough Profile Indicator (RPI) [‐] Terrain Indicator [‐] = 10
  • 33. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Pipeline profile database: TI vs. RPI 0 2 4 6 8 10 12 0 20 40 60 80 Terrain Indicator [‐] Rough Profile Indicator [‐] Timor Sea Persian Gulf North West Shelf North Sea
  • 34. 16th International Conference on Multiphase Production Technology Cannes, France 12 – 14 June 2013 Pipeline profile database: TI vs. RPI 0 2 4 6 8 10 12 14 16 18 0 20 40 60 80 100 120 Terrain Indicator [‐] Rough Profile Indicator [‐] Timor Sea Persian Gulf North West Shelf North Sea Barents Sea