In this project we analyze data of a large sample of gas rich dwarfs galaxies including; Low Surface Brightness Galaxies (LSBGs), Blue Compact Galaxies (BCGs), and dwarfs Irregulars (dIr). We then study the difference between properties of these galaxies in the range of radio frequencies (B-band). The data are available in HIPASS catalogue and McGaugh’s Data Page. We depended also NASA/IPACExtragalactic Databes web site http://ned.ipac.caltech.edu in the data reduction. We measured the gas evolution (HI mass), gas mass-to-luminosity ratio, and abundance of the elements such as the oxygen abundance for these galaxies. Our results show a big discrepancy between the behavior of LSBGs at low and high luminosity ranges. We find that the LSBGs have higher HI masses than other samples of BCGs. BCGs are forced to stem from LSBGs or from dlrs according to their gas to light ratio vs total luminosity value
Comments on Properties of Gas Rich Dwarfs Galaxies in the Range of Radio Frequencies (B-Band)
galaxies
Low Surface Brightness Galaxies
galaxies evolution
gas rich galaxies
Publication Date
Thu Mar 18 2010
Journal Name
Spe Projects, Facilities & Construction
Correlating Optimum Stage Pressure for Sequential Separator Systems
Summary<p>A study to find the optimum separators pressures of separation stations has been performed. Stage separation of oil and gas is accomplished with a series of separators operating at sequentially reduced pressures. Liquid is discharged from a higher-pressure separator into the lower-pressure separator. The set of working separator pressures that yields maximum recovery of liquid hydrocarbon from the well fluid is the optimum set of pressures, which is the target of this work.</p><p>A computer model is used to find the optimum separator pressures. The model employs the Peng-Robinson equation of state (Peng and Robinson 1976) for volatile oil. The application of t</p>
... Show More
separation and treating
PVT measurement
optimization problem
Upstream Oil & Gas
Phase Behavior
objective function
optimum stage pressure
GOR
Artificial Intelligence
(15)
(13)
