Turbulence
Transcription
Turbulence
Calibration of ultrasonic meters using small volume provers Dr Gregor Brown Research Director Caldon Ultrasonics Introduction • Background • Challenges associated with calibrating ultrasonic meters using small volume provers • API Chapter 5.8 guidelines • Improvements that can be achieved • Summary and conclusions Why use small volume provers? • Traceable calibration of ultrasonic meters can be performed in a calibration laboratory or in the field • Reliance on laboratory calibration requires great care at each stage – Meter selection – Specification of calibration conditions – Avoidance of ‘installation effects’ Advantages of field calibration (proving) • Calibrating a meter in the field removes some of the uncertainty related to fluid properties and installation conditions • No need to periodically remove and return the meter to a calibration laboratory Disadvantages of proving • Installation of a prover can be more costly both in terms of capital and maintenance • In practice, a requirement for in-situ proving could limit the size of ultrasonic flow meter that can be used Small Volume Provers • By small volume prover we mean a piston style prover, often called small volume, compact or portable provers as they can be smaller in size than their ball prover equivalents Small Volume Prover Invar Rod Prover Body Spring Plenum Start and End Detector Standby Switches Hydraulic System Inlet From Meter Outlet Small Volume Provers • The essential difference between a piston prover and a ball prover is the enhanced resolution of the detector switches, hence allowing the same uncertainty to be achieved with a smaller volume Challenges for ultrasonic meters • The small volume of piston provers results in two specific challenges for ultrasonic meters – A short time for each calibration run – Only a small volume of flowing fluid is passed though the meter for each run • These might sound like the same thing, but they relate to two different aspects of meter performance Short time per calibration run • Ultrasonic meters measure the flow electronically and hence sample the flow, perform calculations and then update an electronic output • Too low a sampling rate, or a significant delay between sampling and output, will result in errors when the flowrate changes during proving Short time per calibration run • This is recognised in API Chapter 5.8, Appendix C – Manufactured Flow Pulses and Their Impact on the Proving Process Sampling and update rate • Caldon meters perform approximately 400 velocity measurements a second and update the flowrate output at a rate between 50 and 100 Hz depending on meter model • If the flow rate variations during proving are not too extreme, this is sufficient to minimise ‘synchronisation’ uncertainties What about the second issue? Performance of modern electronics • Modern transit time ultrasonic meter electronics allow measurement of transit time differences with sub nanosecond accuracy • This can be verified at zero flow conditions • Yet when we use the meters in flowing conditions the variability is greater 50 2000 45 1800 40 1600 Standard deviation 35 1400 Flowrate 30 1200 25 1000 20 800 15 600 10 400 5 200 0 0 09:21:36 09:28:48 09:36:00 09:43:12 Time 09:50:24 09:57:36 10:04:48 Flowrate (m3/hr) Standard deviation of transit time difference (ns) Flow effect on variability of measurements Variability in percentage terms 7 6 Standard deviation (%) 5 4 1 m/s 3 3 m/s 5 m/s 2 7 m/s 9 m/s 1 10 m/s 0 1 2 3 Path number 4 This instability of reading is caused by turbulence Turbulence Leonardo da Vinci (1452 – 1519) First to attempt scientific study of turbulence (turbolenza): placed obstructions in water and observed the result: “Observe the motion of the surface of the water, which resembles that of hair, which has two motions, of which one is caused by the weight of the hair, the other by the direction of the curls; thus the water has eddying motions, one part of which is due to the principal current, the other to random and reverse motion.” So what are the practical implications of the effects of turbulence? Transit Time Transit times with flow tup tdown Flow with turbulence Averaging the random turbulence Average velocity with superimposed turbulence Average velocity Ultrasonic velocity sample Averaging the random turbulence Average velocity with superimposed turbulence Average velocity Ultrasonic velocity sample Averaging the random turbulence Average velocity with superimposed turbulence Average velocity Ultrasonic velocity sample Averaging the random turbulence Average velocity with superimposed turbulence Average velocity Ultrasonic velocity sample Averaging the random turbulence Larger volumes and more runs • The effects of turbulence are random and are reduced by averaging • It is not the sample rate of the meter that is the limiting factor in terms of repeatability, it is the frequency of the turbulence • This fact is recognised in API Chapter 5.8, which allows for more runs to be used, and acknowledges that owing to the effects of turbulence, larger prover volumes are normally required for ultrasonic meters API recommended volumes 600 5 runs, equation 5 Suggested Volume (barrels) 500 8 runs, equation 5 10 runs, equation 5 400 5 runs, API B-2 8 runs, API B-2 10 runs, API B-2 300 200 100 0 2 4 6 8 10 12 Meter diameter (inches) 14 16 18 How can we apply this to SVPs? • First we have to choose the size a small volume prover that we are going to use • We do this by considering the flow capacity of the prover and also with due consideration of the resulting prove time compared to update rate of the meter • Once we know our prover size we have to use a sufficient number passes per run to accumulate the volume suggested by API Prover volume vs flowrate 0.700 0.600 Daniel Brooks Calibron SyncoTrak Displaced volume (m3) 0.500 Flow Management Devices y = 1.379E-04x 0.400 8-inch ultrasonic meter 16-inch ultrasonic meter 0.300 0.200 0.100 0.000 0 500 1000 1500 2000 2500 3000 Maximum flowrate (m3/hr) 3500 4000 4500 5000 So how many passes are required? • Even if the prover is sized to cover the full range of the meter, then to accumulate the API suggested volumes (for a meter factor uncertainty of 0.027%), typically more than 300 passes in total are required • Ouch! Can improvements be made? • A number of things can potentially be done to improve performance • Increasing the sample rate used in the meter has limited effect on its own but can help when combined with flow conditioning measures • A test programmed carried out in the Cameron laboratories has demonstrated that significant levels of improvement can be achieved Test programme • Tests carried out using a 6-inch meter with a reducing nozzle (4-inch throat) • The meter was tested directly against a 120 litre Brooks small volume prover • The meter body had eight paths and could be tested as either a four or eight path meter • Tests were conducted with and without a Cameron designed ‘turbulence conditioner’ Test programme • Tests carried out using a 6-inch meter with a reducing nozzle (4-inch throat) • Tested directly against a 120 litre Brooks small volume prover • The meter body had eight paths and could be tested as either a four or eight path meter • Tests were conducted with an without a proprietary ‘turbulence conditioner’ Example data sets 1520 1520 4-path meter 25 Hz sample frequency 1518 1516 1516 1514 1514 1512 1512 Pulse count Pulse count 1518 1510 1508 1510 1508 1506 1506 1504 1504 1502 1502 1500 1500 0 20 40 60 Pass number 80 100 8-path meter 50 Hz sample frequency 0 20 40 60 Pass number 80 100 Caldon meter with reducing nozzle • Reducing nozzle shaped inlet • Substantial diameter/area reduction • Beta < 0.64, area ratio < 0.41 • Downstream pressure recovery cone Diagnostic data indicating improved repeatability 8% Meter with reducing nozzle Meter without reducing nozzle Path velocity standard deivation 7% 6% 5% 4% 3% 2% 1% 0% 0 1 2 3 Path number 4 5 Presentation of proving data • Results are presented in the form of a ‘provability factor’ • The basis of this factor is described in the paper presented at South East Asia flow measurement workshop in March this year • It is used to describe the proving performance of a meter design independent of the size of the meter, or the size of the prover used to perform the tests Provability factor • The fluid volume required to achieve a given proving performance is proportional to the provability factor • Therefore the smaller the provability factor the better • The API Chapter 5.8 suggested volumes correspond to a provability factor equal to 2.734 x10-5 4-path meter with reducing nozzle 2.5E-05 2.0E-05 185 m3/hr, 35 psi plenum pressure Provability factor, p 192 m3/hr, 75 psi plenum pressure 320 m3/hr, 35 psi plenum pressure 1.5E-05 320 m3/hr, 75 psi plenum pressure P corresponding to API table b-2 Caldon standard 4-path meter vs SVP 1.0E-05 5.0E-06 0.0E+00 0 25 50 75 Flow sampling and update rate (Hz) 100 125 Eight paths vs four paths 3.5E-06 3.0E-06 Provability factor, p 2.5E-06 2.0E-06 1.5E-06 4-path configuration, 185 m3/hr 1.0E-06 4-path configuration, 320 m3/hr 5.0E-07 8-path configuration, 330 m3/hr 0.0E+00 0 25 50 75 Flow sampling and update rate (Hz) 100 125 Turbulence conditioning • It has been shown already that the repeatability of the measurements is affected by natural turbulence • This creates the opportunity to improve performance by adding a turbulence conditioning device upstream of the meter • The job the conditioner has to do is different to that of a ‘normal’ flow conditioner Turbulence conditioning • It divides the flow into smaller channels thus restricting the size of the turbulent eddies – Reduces variability in the samples by averaging along/within the path – Increases the turbulence frequency • It should be placed close to the meter so that natural turbulence does not redevelop between the conditioner and the meter Turbulence conditioner Turbulence conditioner • As the conditioner has small openings, in practice it may be necessary to use a strainer upstream Diagnostic data indicating improved repeatability 8% Meter with reducing nozzle Path velocity standard deivation 7% Meter without reducing nozzle Meter with reducing nozzle and turbulence conditioner 6% 5% 4% 3% 2% 1% 0% 0 1 2 3 Path number 4 5 4 and 8 paths with turbulence conditioner 3.0E-06 4-path configuration, no conditioner 4-path configuration, with conditioner at 0D 8-path configuration, no condtioner 2.5E-06 8-path configuration, conditoner at 0D Provability factor, p 8-path configuration, conditioner at 4D 2.0E-06 1.5E-06 1.0E-06 5.0E-07 0.0E+00 150 170 190 210 230 250 270 Flowrate (m3/hr) 290 310 330 350 Summary comparison • Green = SVP with < 10 passes per run Prover volume vs meter size for 5 runs with 0.05% spread 4-path 8-path 4-path 8-path meter with meter with API 5.8 meter meter reducing reducing Table with with nozzle and nozzle and B-2 reducing reducing turbulence turbulence Pipe nozzle nozzle conditioner conditioner diameter Prover size (barrels) (inches) 6 73 7.4 3.2 2.0 0.8 8 130 13.2 5.7 3.5 1.5 10 204 20.6 8.8 5.4 2.2 12 294 29.6 12.7 7.8 3.2 14 400 40.2 17.2 10.6 4.3 16 522 52.5 22.5 13.8 5.7 CONCLUSIONS • Ultrasonic meters are fundamentally different from turbine and PD meters and have to be treated differently • Sample rate and calculation delays can result in errors if the meter’s electronics are not of a sufficiently fast design CONCLUSIONS • API chapter 5.8 gives recommendations in terms of proving volume and number of runs based on an assumed meter performance • The API suggested volumes result in a large number of passes per run when using a SVP • Combined with some ultrasonic meters having lower sampling rates and/or longer calculation delays this has resulted in a widely held perception that ultrasonic meters can not be calibrated directly using a SVP CONCLUSIONS • The test data presented in this paper shows that dramatic reductions in proving volume requirements can be achieved by changes to meter design or by use of specialised flow conditioning • Combined with fast sampling and update rates, this means that ultrasonic meters can be calibrated directly using small volume provers using only a small number of passes per run 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