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Analysis on the impact of sensor degradation and failure on flow rate estimates in virtual flow metering systems. Study includes heat transfer modeling, simulations, and sensitivity analysis. Results show segmented approach effectiveness based on known variables.
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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