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Engineering - Uncertainty
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SOLV has
undertaken over 70 projects to find the uncertainty of oil and gas
allocation systems. In addition we have found uncertainty for over
100 meter stations using both ISO5168 RSS (Root Sum Square) and Monte
Carlo Simulation methods. The company has extensive experience of
all aspects of uncertainty in flow measurement.
Clients are
primarily concerned with their financial exposure and need to
determine the feasibility of a proposed development usually with a
number of operational scenarios. We frequently undertake a study on
behalf of the clients to justify a course of action internally and
in presenting a case to field and pipeline partners, and regulatory
authorities.
Martin Basil,
Senior Flow Measurement Consultant with SOLV Ltd, pioneered the use
of Monte Carlo Simulation (MCS) to find the uncertainty of a
measurement or system. MSC is used to deal with the
complexity of allocation systems and some fluid calculations that
cannot be easily analyzed using RSS methods. The most minor change to the
allocation process required a rework of the entire analysis using
conventional quadrature methods. With
MCS it is only necessary to change the allocation equation for the
uncertainty to be correctly propagated.
SOLV has been
instrumental in commercializing the use of MCS and it is now
acceptable for submission to the DECC (UK
Department of Energy & Climate Change). MCS has been included in the next issue of ISO5168 which
deals with uncertainty in fluid flow measurement.
As a result of
lobbying by SOLV MCS has been included in a supplement to the
ISO/ANSI “Guide to the expression of uncertainty in measurement”
also known as “The GUM”.
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Analysis
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Determine feasibility
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Financial exposure
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Justification
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Operational scenarios
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Uncertainty studies
Paper's and presentations on uncertainty based
allocation can be downloaded
here
For further information or to discuss your
requirements please
contact us |
