Sayed Chairul Umam
Engineering
Physic Departement
Sepuluh
Nopember Institute of Tehcnology
Surabaya, Indonesia
Gas mass flow
rate into the surface known as the rate of gas production. A gas exploration
location usually consist of gas wells, processing, and pipeline facilities. So
the election proper wells required so that the output is not too small nor
exceed the value of the rate of production wells. In other words, gas wells
must be maintained to match production targets. , if too much gas mass is produced,
it will be re-pumped back into the well or burn it as flare. Reversely, if gas
mass flow rate reduce, it will cause reduce the gas production, moreover it
will trigger compressor trip. Therefore, the consistency of gas mass flow rate is
important.This will be complicated if a gas production
wells that had vary of characterized mass and properties. Hence, the optimization of gas
mass flow rate by manipulated the mass flow rate at each well is required. In
the optimization require three component namely as follows:
1. Piping modeling
2. Problem
formulation (objective function)
3. Optimization
On previous research, multiphase flow through wellhead restrictions two sets of new correlations are presented
for high flow rate[1]. Nodal
system analysis to find the pressure loss in the pipeline with ranged of loses error 16.65%-46.24% at one well [2]. In
this research, it will be used BeggsBrill methods and the Gilbert correlation
to find out the value of the mass flow rate and pressure drop at each well (15
wells). The Beggs-Brill equation is utilized to model the
gas mass flow rate and pressure drop from wells until header and separator.
Another model is choke flow using Gilbert correlation that regulated gas mass
flow rate and affect the pressure drop So, the purpose of this reserach to find value of mass flow rate at each well with the
relationship between the mass flow rate against pressure drop. And then be
compared with the nodal system analysis on Pipesim as validation. Nodal
analysis system created a graph of the relationship between the inflow
performance relations (IPR) and outflow performance relations (OPR) at a point
to locate the operating point by insert data the results of the methods
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