Geographic location considered in PVT calculation program

Journal Article · Mon Jan 22 04:00:00 EST 1996 · Oil and Gas Journal

OSTI ID:178156

Elsharkawy, A M; El-Mater, D ^[1]

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1. Kuwait Univ. (Kuwait)

A computer program was developed to calculate hydrocarbon fluid properties from a variety of geographical locations. For any given area of the world, one correlation may be better than another. The program`s calculations are based on published pressure-volume-temperature (PVT) correlations. The program will run on an IBM compatible personal computer. The properties calculated include solution gas/soil ratio, oil formation volume factor, crude oil viscosity, gas deviation factor, gas formation volume factor, and gas viscosity. The program includes most of the well known correlations as well as the recently developed ones for estimating properties of saturated crude oil in several different areas of the world. The mathematical functions represent the best fit for estimating the gas properties from empirical data. The fluid properties obtained can be used for formation evaluation of hydrocarbon reservoirs, reserve calculations, reservoir performance predictions, production operations, and production facility design. The program can also be used in research work for assessing published correlations that predict the properties of a given crude whose laboratory PVT data are known. Program input data include the number of data points, calculation option for saturated crudes, reservoir pressure, API crude oil gravity, gas specific gravity, reservoir temperature. Output from the program can be stored in a data file for later use or printed on the screen.

• OSTI ID: 178156
• Journal Information: Oil and Gas Journal, Journal Name: Oil and Gas Journal Journal Issue: 4 Vol. 94; ISSN OIGJAV; ISSN 0030-1388
• Country of Publication: United States
• Language: English

Related Subjects

02 PETROLEUM
03 NATURAL GAS
CHEMICAL PROPERTIES
COMPARATIVE EVALUATIONS
COMPUTER CODES
DATA BASE MANAGEMENT
FLOW MODELS
NATURAL GAS
PETROLEUM
PHYSICAL PROPERTIES
STATISTICAL MODELS