Network modelling analysis of a depressurization experiment on a North Sea reservoir core sample

U. Bagudu*, Steven Robert McDougall, Eric James Mackay

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
140 Downloads (Pure)


Solution gas drive following depressurization of oil reservoirs below the bubble point is the oldest and perhaps one of the most challenging oil recovery mechanisms to quantify. Part of the challenge lies in designing repeatable experiments and then translating experimental observations into practical solutions in the field – laboratory depressurization rates are typically orders of magnitude higher than practical field rates. Using a case study we show how pore network modelling can help make sense of the underlying physical mechanisms governing gas flow behaviour in porous media during solution gas drive whilst also serving as a forward modelling tool for developing relative permeability functions for use in field scale simulators. Core scale simulations performed on a pore network anchored to measured petrophysical properties of a 0.23mD chalk core from a North Sea reservoir show a very weak correlation between depletion rate and critical gas saturation, contrary to observations in higher permeability clastic media. In addition, solution gas drive oil recovery was found to increase with higher initial water saturation.

Original languageEnglish
Pages (from-to)63-75
Number of pages13
JournalJournal of Petroleum Science and Engineering
Early online date7 Dec 2017
Publication statusPublished - Mar 2018


  • Crtical gas saturation
  • Depletion rate
  • Depressurization
  • Network modelling
  • Solution gas drive

ASJC Scopus subject areas

  • Fuel Technology
  • Geotechnical Engineering and Engineering Geology


Dive into the research topics of 'Network modelling analysis of a depressurization experiment on a North Sea reservoir core sample'. Together they form a unique fingerprint.

Cite this