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SUBPRO SUBSEA PRODUCTION AND PROCESSING. Analysis of Influence of Sensor Degradation on Flowrate Estimates by Virtual Flow Metering Systems. PhD candidate: Timur Bikmukhametov Supervisor: Associate Professor Johannes Jäschke. Virtual Flow Metering system. Mass conservation
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SUBPROSUBSEA PRODUCTION AND PROCESSING Analysis of Influence of Sensor Degradation on Flowrate Estimates by Virtual Flow Metering Systems PhD candidate: Timur Bikmukhametov Supervisor: Associate Professor Johannes Jäschke
Virtual Flow Metering system Mass conservation Momentum equation Energy equation
Topics • Influence of sensor degradation • Heat transfer modelling It does! Simple doesn’t mean bad
Pressure/temperature sensor degradation • ± 0.1 % uncertainty • ± 0.5 % uncertainty • ± 1 % uncertainty
Simulation setup Pwh_meas= 0.99·Pwh... 1.01·Pwh Twh_meas= 0.99·Twh... 1.01·Twh Twh, Pwh 1 % uncertainty Monte Carlo Simulations 98% confidence 40 - 130 simulations per case Optimizer 1 % uncertainty Twf, Pwf Pwf_meas = 0.99·Pwf ... 1.01·Pwf Twf_meas= 0.99·Twf... 1.01·Twf
Study 2 Temperature sensor failure • True Twfdoes not change • True Twf changes • +5% drop • - 5% drop
Heat transfer modeling Total (unique) U-value method Multiple U-value method Twh U1 U2 U total U3 U4 U5 Twf
+ + +
Well structure 57 ⁰C 70 ⁰C
Sensitivity study T = 57; …; …; … ⁰C m = 35 + 2; 4; 6 … kg/s
Conclusions • Sensor degradation has an impact on flowrate estimates • Failure of temperature sensors makes estimates less accurate • Segmented approach does not give an advantage if Twh is known • Segmented approach might be better if Twh is unknown or T is measured along the wellbore
Further work • Perform the analysis for different GOR values and a gas well • Identify the most critical points in the system
Matching the wellhead temperature = 20 21 2 31.5 33 = 30 Uunique= 24