Vasileios Gaganis

Assistant Professor

Scientific Field: Μηχανική Ταμιευτήρων

School of Mining and Metallurgical Engineering
Iroon Polytechniou 9 str., GR15773 Zografou Campus, Athens, Greece

Office 1.44, 1st floor
+30 210 772 2587

vgaganis@metal.ntua.gr

 

Dr. Vassilis Gaganis holds an Assistant Professor position at the School of Mining and Metallurgical Engineering in Petroleum Engineering. He holds a BSc in Mechanical Engineering from the University of Patras, Greece, an MSc in Computer Science from the Technical University of Crete and a PhD in Petroleum Engineering from the same Institution. During the past 25 years he has provided consultancy work for software development and service companies in the oil & gas business such as Schlumberger, Oilphase, Petroleum Experts and Kappa engineering. His research interest are in reservoir engineering and in the thermodynamic behavior of reservoir fluids, the development of computational models of flow in porous medium as well as applications of machine learning for the acceleration of flow simulation in pipelines and reservoirs. Until today he has published more than 50 papers in scientific journals and international conferences.

  • Gaganis V., “Simplified discriminating functions for rapid phase stability calculations”, Journal of Computers and Chemical Engineering, Vol. 108, pp. 112-127, 2018.
  • Gaganis V., Varotsis N., “Rapid and thermodynamically consistent phase behavior calculations in process simulation”, 30th European Symposium on Applied Thermodynamics, Prague, Czech Republic, June 2018.
  • Gaganis V., Kourlianski E., Varotsis N., “An accurate method to generate composite PVT data for black oil simulation”, Journal of Petroleum Science and Engineering, Vol. 157, pp. 1-13, 2017.
  • Gaganis V., Varotsis N., “Thermodynamic properties of fluids in the upstream petroleum engineering: from rigorous thermodynamics to soft computing”, 29th European Symposium on Applied Thermodynamics, Bucharest, Romania, May 2017.
  • Gaganis V., Varotsis N., “Identification of the compositional path followed during reservoir simulation improves the accuracy and accelerates the phase behavior calculations”, SPE paper 180124, SPE Europec, Vienna, Austria, May 2016.
  • Gaganis V., Varotsis N., “Rapid multiphase stability calculations in process simulation”, 27th European Symposium on Applied Thermodynamics, Eindhoven, Netherlands, July 2014.
  • Gaganis V., Varotsis N., “An integrated approach for rapid phase behavior calculations in compositional modeling”, Journal of Petroleum Science and Engineering, Vol. 118, pp. 74-87, 2014.
  • Gaganis V., “Reduced flash calculations with temperature dependent binary interaction coefficients”, Fluid Phase Equilibria, Vol. 354, pp. 166-176, 2013.
  • Gaganis V., Varotsis N., “An improved BIP matrix decomposition for fast reduced flash calculations”, Fluid Phase Equilibria, Vol. 340, pp. 63-76, 2013.
  • Gaganis V., Marinakis D., Varotsis N., “A general framework of model functions for rapid and robust solution of Rachford-Rice type of equations”, Fluid Phase Equilibria, Vol. 322-323, pp. 9-18, 2012.
  • Gaganis V., Varotsis N., “Machine learning methods to speed up compositional reservoir simulation”, SPE paper 154505, SPE Europec, Copenhagen, Denmark, June 2012.
  • Gaganis V., Varotsis N., “Novel approach to the reduced variables method improves phase equilibrium computations accuracy”, 26th European Symposium on Applied Thermodynamics, Potsdam, Germany, October 2012.
  • Gaganis V., Varotsis N., “Non-iterative phase stability calculations for process simulation using discriminating functions”, Fluid Phase Equilibria, Vol. 314, pp. 69-77, 2011.
  • Hegeman P., Dong C., Varotsis N., Gaganis V., “Application of artificial neural networks to downhole fluid analysis”, SPE Reservoir Evaluation & Engineering, Vol. 12, No. 1, pp. 8-13, 2009.
  • Gaganis V., Varotsis N., “The risk of non-physically sound tuned cubic EoS models: Critical appraisal and remedies”, 23th European Symposium on Applied Thermodynamics, Cannes, France, May 2008.
  • Gaganis V., Varotsis N., Birkett G., “Sensitivity controlled neural networks for the prediction of PVT properties exhibit equation of state like behavior”, 22th European Symposium on Applied Thermodynamics, Elsinore, Denmark, June 2006.
  • Varotsis N., Gaganis V., Nighswander J., “Quality assurance tool for PVT simulator predictions”, SPE Reservoir Evaluation & Engineering, Vol. 5, No. 6, pp. 499-506, 2002.
  • Gaganis V., Varotsis N., “Monitoring PVT properties ensures physically sound tuned EoS behavior over the entire operating conditions range”, SPE paper 94211, SPE Europec, Madrid, Spain, June 2005.
  • Varotsis N., Gaganis V., Nighswander J., “An innovative ANN-based thermodynamic petroleum fluids properties model providing quality assured predictions”, 19th European Symposium on Applied Thermodynamics, Santorini, Greece, September 2002.
  • Varotsis N., Gaganis V., Nighswander J., Guieze P., “A novel non-iterative method for the prediction of the PVT behavior of reservoir fluids”, SPE paper 56745, SPE Annual Conference, Houston, Texas, US, October 1999.

Undergraduate courses

  • Drilling engineering (Spring semester, 4th year)
  • Geothermal energy (Spring semester, 4th year)
  • Reservoir engineering (Fall semester, 5th year)
  • Machine elements (Fall semester, 3rd year)
  • Mechanical CAD course (Spring semester, 2nd year)

Postgraduate courses

  • Drilling engineering
  • Reservoir engineering
  • Production engineering
  • Petroleum industry software training