North Sea Flow Measurement Workshop

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North Sea Flow Measurement Workshop October 22, 2018 - October 24, 2018 Ardoe House Hotel, Blairs, Aberdeen United Kingdom P. Alberto Giuliano Albo, Simona Lago and Giuseppe Cavuoto

Total net energy transferred Transferred energy can be calculated with the following formula [1]: E = G ρv - E Gas displaced ± E Gas to Engine Room Net energy transferred Volume Gross calorific value Density [1] GIIGNL LNG Custody Transfer Handbook v. 5.00 (2017)

Mass determination LNG mass can only be measured by direct weighing it can be done with trucks and other small-scale carriers but not for large amount of fluid. or by Level/Volume and Composition conversion [1]: + + + + [1] GIIGNL LNG Custody Transfer Handbook v. 5.00 (2017)

Requirements of density sensors A suitable density sensor must satisfy at least two general requirements: Technological Suitable to work in wide range of temperature and pressure; Uncertainty in the order of 0.1% or better over the whole measurement range; High accuracy; Easiness in design and operation; Commercial Low cost; Traceable; Almost never failures; Simple / on-line calibration. Measurement time constant in the order of seconds.

Static versus Dynamic Measurements Static methods: density is measured maintaining the fluid at its natural thermodynamic and mechanic equilibrium Time constants are much longer than a second and may be in the order of hours or days; Since the fluid is in equilibrium, high accuracy and low uncertainty can be obtained; Measurements are usually directly traceable to the definition of the units of mass and volume. Dynamic methods: density is measured setting the fluid out its natural thermodynamic and mechanic equilibrium and monitoring some properties of the transitory. Time constants are in the order of seconds but can be much smaller; Out of the equilibrium, the fluid may show properties influencing the measurements; Calibration of the instrument is needed and the traceability must be checked time by time; Sensor calibration has to be repeated frequently; More complex physics that can lead to higher uncertainty when approximations are introduced; Dynamic response of systems can be used to extract further information of the state of system.

LNG pycnometers The sample is expanded from one volume to a second volume. The ratio between these two volumes is equal to the ratio between the density ρ 0 before and after the expansion ρ f. Single Expansion Devices Usual volume ratios from 50 to 1000, so that the final pressure is near to atmospheric. Temperature range from (98 to 111) K; Pressure up to 0.6 MPa ; Declared uncertainty: 0.25 %; m-symbols refer to the pycnometer weights when filled with LNG, when evacuated and when filled by a reference fluid (i.e. methane), ρ a is the density of air when pycometer is weighted in air. INRiMs pycnometer for cryogenic density measurements

Density in flowing fluids From conservation of 4-momentum (mass and momentum simultaneously): Mass conservation: Momentum conservation: Mass and momentum conservation is the principle which dynamic sensors are based on. Since nabla and volume depend on the geometry of the system, the density distribution depends on local geometrical properties. Equations are further complicated when viscosity and thermodynamic terms are included.

Coriolis mass flowmeter Mass flow rate: Fluid density: Tubes shapes Thermodynamic conditions Picture taken from Bell Flow System web site Elastic properties Calibration is the most suitable procedure to eliminate or characterize the C-function. When characterization is needed, physical models play the most important role.

Acoustic densimeter Acoustic densimeter measures the density of the fluid directly, without making use of Equation of States. LNG Where s- and f- indexes refer to solid and fluid respectively while w is the speed of sound, ρ is density and R is the ratio of the signal amplitude. Vacuum or Low density gas INRiM s pycnometer (prototype I) for cryogenic density measurements Materials and dimensions are designed to fit the measurement range of densities Conservative relative uncertainty estimation in laboratory conditions: u r (w s ) ~ 0.02 % speed of sound in crystals u r (w f ) ~ 0.05 % speed of sound in fluid u r (R) ~ 0.02 % reflection coefficient u r (ρ s ) ~ 0.01 % density of crystal U r (ρ f ) <0.15 % combined expanded uncertainty (k=2)

Acoustic densimeter: implementation of on-line calibration When sensors are characterized and calibrated in laboratory conditions, it is possible to use them on-line to calibrate ultrasonic flowmeters by comparison. Comparison is a well defined procedure including shared measurement procedures and uncertainty analysis that is widely used among Primary Metrological Institutes to disseminates quantities. Speed of sound for fluid at rest when fluid flows: Sensor calibration:

Acoustic densimeter: composition monitoring Propane 0 0.25 0.50 0.75 1 Ethane 0 0.25 0.50 0.75 1 LNG From simultaneous measurements of speed of sound w 0 and density ρ 0 it is possible to monitor the composition of a ternary mixture representing LNG, namely methane (85%), ethane (10%) and propane (5%). Speed of sound and density can be expressed as a function of the composition x i when the temperature T and the pressure p are known: 0 0.25 0.50 0.75 1 Methane Functions w(x m, x e, x p ) and ρ(x m, x e, x p ) are obtained from a dedicated equation of state describing the composition to be monitored. When ultrasonic flowmeters are calibrated on-line by comparison with a reference speed of sound sensor, the ultrasonic densimeter can be used to monitor relative variation of the composition of the flowing LNG.

Conclusions Dynamic measurements are preferable for on-line measurements and, thanks to their nature, can be exploited to insight physical properties of the system. Metrology can help manufactures not only to extract hidden information but also to obtain the most reliable measurements, traceable to units definitions. It is late but, for any further discussions feel free to contact us: Simona Lago: s.lago@inrim.it P. Alberto Giuliano Albo: a.albo@inrim.it Thanks for your attention!