Multiphase, Wet Gas and Steam Flows
Overview
There seemed to be some common themes coming up including the need to replicate the field conditions in the lab, but with the problem being that the field conditions are not normally logged with great precisions, nor repeatability. Another aspect was that technology is outweighing knowledge so we need some work to address some fundamental flow issues. Cheap sensors also came up- possibly disposable, one shot types, so to take a space application, sensor swarms.
PRT topics identified:
Understanding high pressure/High temperature multiphase flow characteristicsImpact of salinity on measurement
Advancing multiphase and wet gas modelling
standardisation of wet gas technology, installation effects, 3-phases
improve accuracy of well test data/methods
Other Sectors - high viscosity flow measurement
Developing cheaper & more portable sensors for flow assurance
Main Issues Discussed:
Need for traceability
-Problems with ratio gas/liquid measurements
-Over reading, high pressure loops, problems with flow characterization
Need of meters for 3 phase measurements, water/gas/oil
Dedicated facility for multiphase in EUROPE?
-In medical applications, solid+liquid, means impact in measurement.
High viscosity flow very hard to measure, included food industry, non Newtonian fluids now using meter calibrated with water
Technology, to determine the flow characteristic of each of the 3 fluids, by viscosity and density measurements
Ultrasound, microwave – permittivity of material, X-rays, optical technology.
-Determine velocity profile
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Need to develop standardization
Morning Session
Group 1
Challenges:
Need cost reduction in regard to sensors
Technology outstripping present knowledge
- So need to get back to understanding the fundamentals of flow
- Undertake Basic Experiments
Virtual metering
Nuclear applications: High temperatures
- Radiation
- Molten salts.
Group 2
Challenges
- Improve flowmetering
- Venturiis
Low liquid content flows a challenge
- Medical –eg blood flow
- Degassing in medical field
- Non Newtonian fluids
- Water content in pulp
Traceability
- 3 Phase meters-Traceability of each phase
- High Pressure losses
- Validations and Traceability
- Velocity profiles most needed.
- Low pressure to high pressure measurement and validation.
Group 3
Need for cheap solutions (ultrasonic) to measure multiphase
- Robust measurements with temperature.
- Need standards for steam measurement
- Wet steam is aggressive
- So need cheap and reliable measurement of the flow
EMPIR call
- Need to determine something new.
- In regard to the Wet gas proposal that was rejected- it was a good proposal
Again the need to focus on the physical properties
- Emulsification and 3 phase flows
- New models required
Flow assurance won’t fit well with Euromet
Salinity measurements
Steam measurements
It is a billing process, so if there is a cost implication then the securing of accurate measurement will drive the development of sensors.
Orifice plate technology
Ultrasonics gives better performance
Group 2
Methodological
- Need for accuracy improvements with low liquidcontents
Modelling
Need more knowledge on the low characteristics knowledge
Examining highly viscous flows
- non Newtonian, paints etc
- Meters are calibrated in water and not high viscous liquids
Validations-microwave technique for water contents
Intercomparison between high pressure loops
Harmonisation
CFD approach and the development of new codes.
Summary
Drivers: Oil reserves are larger than thought as risk is due to present inaccurate measurements.
Oil and gas mainly
Marginal field in the North seas
Issue in the stateof the art
Traceability chain is far too weak
Especially in situ monitoring.
Revenue evaluations
- The quality of multiphase sampling is suspect.
Large diameter pipes of 14 to 16 inches creates problems for measurements
- Where to test them.
- Up scaling problems
- Will sensors work accurately at large diameter pipes
Fracking
- Requirement for lots of cheap meters, low costs, verifying them, dynamic range
- Problem: Need to assure traceability
More science forthe standard design and operating methods
Reference substances.
Sampling standard methods
Model fluids versus real fluids
|drilling mid viscosity
Shale oil gasification.
Afternoon Session
Group 1
Need for accurate field data
- Researchdata is needed under real field conditions
- Understanding the single phase to be able to go to additional phases
- Evidence of flow in the field
- Feedback needed from industry as to the actual flow conditions and do we trust the protocol being used to gather the field data.
- Comparison to flow conditions to lab conditions
- Quality of the data collected.
- Understanding of the sciences
- Delivery to the field a reference measurement protocol.
- Harmonisation of field data.
Standardisation
- Replicating conditions
- Mimicking controls
- Flow simulations
- Model deficiency
Is there a priority on high temperature, high pressure fluid properties. Live fluids
What fluids need to be investigated?
Natural gas/oil
Upscaling and downscaling
Group 2
Modelling-EMPIR Lng111 is a 20 year project so need to adopt the same approach.
The North Sea has fading asset so the hook is to provide a big picture of the reserves and a long term approach
NEL has high pressure facility coming on stream in 2018
Research questions
- Parameters in the laboratory to mimic the field conditions
- Cost reduction in modelling
- Fluid Properties
- Sampling Diagnostics
- Food/behaviour
Vendors vs users
- Different demands
- Project common interest to both with NEL facility.
- Government as first user.
Group 3
Mature assets
Oil/gas/water slip modelling
Much of the data is owned by the manufacturers
Black box approach-need for more accurateexperiments
Outside influences
Trust in measurements
Conservative specification system
Re-create the field conditions
Transparency of measurements
API stands on multiphase
Modelling
- Far too many parameters so make it expensive.
- CFD –far too many unknowns
Group 4
Challenge
Monitors and modelling
- Interaction between the two-Process nowcasting
- Interaction of the model and simulation of senor data.
- CO2 reductions-optimisations
Oil
- Metering to delay decommissioning.
- Still valuablereserves that need to be accurately measured.
Nano particles
Need for cheaper sensors
Process optimisation in renewables.
Energy industry
- Optimised method of design from scratch
- Geothermal, solar, steel industry, liquid metals, nuclear-still unresolved issues
Medical sector-small diameters.
Owners of the field data are not represented.
Pilot data and field testing.
Portables meters that are cheap.