SOLV is an engineering consultancy company
specialising in Oil & Gas flow measurement and allocation
systems. We undertake engineering studies to select and specify
metering systems, design allocation systems and estimate
measurement uncertainty. SOLV pioneered the use of MCS (Monte
Carlo Simulation) to estimate the uncertainty of Oil & Gas
measurement equipment and allocation systems.
Further details of projects can be downloaded here.
Case studies for three recent projects are
Case 1 - Allocation Philosophy and
Specify the allocation philosophy and determine
the uncertainty for allocation of Crude Oil, Condensate and LPG
for two Crude Oil fields, a Gas Condensate field and an NGL import.
Mass component allocation was selected as there
was no recycle to the reception slug catchers and all vapour
liquid exchange and gas disposal could be measured. The
allocation uncertainty for each field and field owner was found
by MCS (Monte Carlo Simulation)
with a 23 component mass component allocation model of the
plant. Mass component allocation
eliminates much of the uncertainty found with the alternative process
simulation or shrink and flash adjustment allocation methods.
Case 2 - Heavy Oil MPFM Allocation, Alaska
Estimate the oil phase measurement uncertainty
for a MPFM (Multi-Phase Flow Meter) on the liquid leg of a slug catcher
with high viscosity, tight emulsion and entrained gas.
A model of the MPFM phase detector and flow
element was developed for 0-50% GVF and 0-50% WLR with liquid
viscosities 50-3,000 cP, using a Re (Reynolds number) Cd
(Coefficient of Discharge) correction. The phase detection
uncertainty was found with MCS and the flow element using RSS
(Root Sum Square) methods. The model was run for
three flow element sizes each with 24 cases to provide an
uncertainty matrix for
the allocation tariff adjustment.
Case 3 - MOL and Terminal
Measurement Survey, Oman
Investigate the terminal balance for the MOL
(Main Oil Line),
storage tanks, refinery supply and returns, and sea tanker
loading. Survey each MOL entry meter at
41 locations to estimate the regional and pipeline
balance and uncertainty.
The project was undertaken in three stages comprising
terminal balance, pipeline balance and analysis of the
regional balances. The terminal balance uncertainty was examined and
the uncertainty estimate used to provide a balance acceptance criteria for
daily, weekly and monthly reporting. The MOL import meter was compared with a pipeline
meter in the interior and calibrated using storage tanks for use
in the terminal balance.
MOL meters in the interior were surveyed for
the three regions comprising LACT units with a prover and PD
or turbine meter, uncompensated orifice with (square, conical and
quadrant) meters, venturi, vortex, coriolis, ultrasonic (single,
multipath and clamp on) and storage tanks at each location.
An allocation model for the MOL and terminal was
developed to find the allocation uncertainties and pipeline balance uncertainty using survey findings.
Further details of the projects can be downloaded here.
For further information or to discuss your