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5th ISFFM Washington April 2002

5th ISFFM Washington April 2002

The paper describes a software system that simplifies the propagation of uncertainty using the Monte Carlo Simulation (MCS) technique. This is used to model oil and gas measurement, processing and allocation systems to find the financial exposure of the allocation. These uncertainty methods are also well suited to recent proposals for Uncertainty Based Allocation (UBA). Fluid flow is invariably derived from a functional relationship between a number of measurements and this must be taken into account when analyzing flow measurement uncertainty. These complex relationships are often further compounded when the results are cascaded into another system such as a oil or gas pipeline allocation system. Determining the uncertainty of these systems is problematic with conventional Root Sum Square (RSS) uncertainty methods. The MCS uncertainty methods described here provide a reliable systematic method of determining allocation uncertainty.

Flow Measurement Uncertainty Assessment

Flow Measurement Uncertainty Assessment

“Guide to the expression of uncertainty in measurement” ; known as the GUM, the over-arching uncertainty standard adopted by ANSI, BSI, OIML and others to which all ISO and OIML uncertainty standards must comply.