Accurate Estimation of the World Crude Oil PVT Properties Using Graphical Alternating Conditional Expectation

@inproceedings{Malallah2006AccurateEO,
  title={Accurate Estimation of the World Crude Oil PVT Properties Using Graphical Alternating Conditional Expectation},
  author={Adel Malallah and Ridha Cherif Gharbi and Meshal Algharaib},
  year={2006}
}
The accurate determination of the pressure, volume, and temperature (PVT) properties such as bubble-point pressure and oil formation volume factor is important in the primary and subsequent development of an oil field. These two parameters are essential for all petroleum engineering calculations such as reservoir simulations, recovery estimates, material balance calculations, well completion, facility design decisions, and production optimization strategies. In this study, a new approach is… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-9 OF 9 CITATIONS

Prediction of reservoir fluid properties using machine learning

Munirudeen Ajadi Oloso
  • 2018
VIEW 2 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Technical and Non-technical Challenges of Development of Offshore Petroleum Reservoirs: Characterization and Production

Masoud Seyyedattar, Sohrab Zendehboudi, Stephen Butt
  • Natural Resources Research
  • 2019
VIEW 2 EXCERPTS
CITES METHODS

Oil PVT characterisation using ensemble systems

  • 2016 International Conference on Machine Learning and Cybernetics (ICMLC)
  • 2016
VIEW 1 EXCERPT
CITES BACKGROUND