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Search multiphase production technology 14: Pages with reference errors
...use the volume of gas passing through the meter is not the same as the total volume measured by the reference gas meter. Therefore, introducing directly the above equation [1] in the pattern recognition algori...thm would lead to high errors. In our case, we considered the conservation of mass instead of volume flow rate using the followin...
...ed multistage neural network could track in real-time (i.e. in less than 2 msec. sampling rate) the reference in the ranges [20 to 100% water-cut and [0 to 40% gas] respectively. The overall relative ...errors are provided in the next section. Figure 10 shows another experience of gas fraction determination ... a (W) is the volume flow rate of water measured by the proposed MPFM, whereas Q r (W) is the reference volume flow rate of water measured by the ...
... ) Mg Mass flow rate (in kg/hr) Qa(W) Volume flow rate of water measured by the proposed MPFM Qr(W) Reference Volume flow rate of water measured by the single phase flow meter 2 BACKGROUND AND DRIVING PARAMET...
ABSTRACT In this paper, a Multilayer neural network has been developed to carry out the fusion of multi-sensor information for a new multiphase flow meter (MPFM) device. The velocity and density of each phase are determined using the fluid electrical and acoustic property signals which are combined with the physical models of multiphase fluids, in addition to the venturi, differential pressure, and absolute pressure sensors. Two rings of high and low frequency ultrasonic sensors are used to overcome the uncertainties of the electrical sensors in the range of 40–60% water-cut for low and high gas fractions respectively. Experimental results on a multiphase flow loop show that real-time classification of phase flow rates for up to 90% gas fraction can be achieved with less than 10% relative error.
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Multiphase flow (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Production logging (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Downhole and wellsite flow metering (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Neural networks (1.00)