Business driver: The quality of oil-, gas- and water measuring systems was unsure, mostly due to non-viscous measurements. This caused uncertainty in the figures pertaining produced water, gas and old volumes per field. Field and Reservoir management could not rely on the measurements to calibrate their model. This meant that the available oil and gas supplies were estimated and that new investments were uncertain.
To measure the health of all the critical measurement systems, a metering portal has been developed, including an automatic “health evolution” process. This solution is used by Shell through their production portal: see figure 1. By using the mu-Builder, a set of algorithms have been designed, with a separate algorithm for every measurement device. Figure 2 shows an algorithm which evaluates a Class II metering type.
The integrity of measurement systems is dependent on many parameters, from various information sources. The mu-Engine combines lab data, engineering figures and measurements to evaluate the integrity of measurement systems. The results of these evaluations help plant owners improve their measurement equipment.
To measure the health of all the critical measurement systems, a metering portal has been developed, including an automatic “health evolution” process. This solution is used by Shell through their production portal: see figure 1. By using the mu-Builder, a set of algorithms have been designed, with a separate algorithm for every measurement device. Figure 2 shows an algorithm which evaluates a Class II metering type.
The integrity of measurement systems is dependent on many parameters, from various information sources. The mu-Engine combines lab data, engineering figures and measurements to evaluate the integrity of measurement systems. The results of these evaluations help plant owners improve their measurement equipment.
Figure 1: Portal Evaluation result
Figure 2: Metering Algorithm for a specific measurement type in the mu-Builder
