Integrated Core Analysis, Modelling and Reservoir Characterisation: Module 3 - Relative Permeability

Production and Operations


Each module has a duration of two days with emphasis on different aspects of reservoir characterisation, the ultimate goal being the preparation of optimal formation and rock property data from core analysis and other data sources for the purpose of static geological modelling and dynamic reservoir simulation. Seminar style lectures are typically given each morning and participants put their learning into practice in the afternoons, utilising real field data (including their own if desired). For this purpose, specialised spreadsheets are utilised.

"Intelligent" spreadsheets will be made available to course participants for their use in practical exercises – putting theory into practice. Course participants may also bring their own data, which they may use with the spreadsheets. Spreadsheets may be operated in rapid fashion to obtain optimal solutions. Sample of spreadsheets are:

  • Core Overburden Correction
  • HFZ Calculations
  • Capillary Pressure Prediction
  • Relative Permeability Predictor

Part 3 of the overall course covers all aspects related to Relative Permeability (RP) and modelling, for different fluid pairs and both, steady state and unsteady state. Firstly, various types of lab techniques used in deriving RP profiles are covered, core flooding and centrifuge. The modelling part involves two aspects: quality checking and validation, and prediction of RP relationships from basic data. Various formulations are reviewed and both, matching and prediction workflows are covered. Using an advanced and universal formulation, it is shown how both, forward and reverse modelling is possible for matching and deriving RP relationships. The end objective is to derive appropriate RP relationships for every HFZU identified for reservoir simulation. It is also shown how to integrate flooding and centrifuge data. Here are the main topics which will be covered in the course:

  • Laboratory techniques: flooding (steady and unsteady state) and centrifuge
  • Capillary pressure models: Modified Brooks-Corey to recent
  • Laboratory data: quality checking and validation
  • Relative permeability endpoint correlations
  • Prediction of relative permeability relationships from basic data
  • Relative permeability and integration of various types of tests

Part I:

Conventional Core Analysis and Reservoir Zonation

Part II:

Capillary Pressure and Saturation

Part III:

Relative Permeability

Training Course Brochure (pdf)

Learning Level


Course Length

1.5 Days

Why Attend?

Attendance of the course will allow participants to:

  • Appreciate the multidisciplinary nature of reservoir characterization using core data
  • Understand various laboratory methods used for measuring relative permeability
  • Synthesise RP relationships for various uses
  • Derive optimal RP relationships for every geological unit (HFZU)

Who Should Attend

The course is intended for geologists, petrophysicists, reservoir engineers and technical personnel involved in reservoir characterization and field development studies.


Engineers are responsible for enhancing their professional competence throughout their careers. Licensed, chartered, and/or certified engineers are sometimes required by government entities to provide proof of continued professional development and training. Training credits are defined as Continuing Education Units (CEUs) or Professional Development Hours (PDH).

Attendees of SPE training courses earn 0.8 CEUs for each day of training. We provide each attendee a certificate upon completion of the training course.

In-House Training

This course is available for in house training at your office location.

Contact Us
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Peter Behrenbruch

Prof Peter Behrenbruch is a consultant and an Adjunct Professor at the Australian School of Petroleum at the University of Adelaide (UoA), specialising in reservoir engineering, field development planning and petroleum management. He also teaches at the Ho Chi Minh University of Technology and recently taught at the University of Western Australia and Curtin University. He has worked for over 40 years in the petroleum industry, most recently as Chief Operating Officer and Project Director for AED Oil and East Puffin (2007-09) for the Puffin offshore development, Timor Sea.

Prior to his academic career (2001-2006), commencing in 2001 as head of the new School of Petroleum Engineering and Management at the UA, he worked for 16 years for BHP Billiton, most recently as Chief Reservoir Engineer for their worldwide petroleum operations. Other positions with BHP Billiton involved mainly technical and project management, and general management positions. He was the project manager (feasibility) for two FPSO projects, the Skua and Griffin area fields, offshore Australia. He was also the Technical Manager for the Dai Hung project, offshore Vietnam where first oil was achieved in just 18 months from sanction. Before that time, he worked for Shell International (8 years) in the Netherlands, including two years as Senior Lecturer Reservoir Engineering at Shell’s training centre and in Australia, seconded to Woodside Energy, involved in Australia’s largest capital project (at the time), the Northwest Shelf Gas development.  He started his career in Calgary, Canada, first with Hudson’s Bay Oil and Gas and then with the US consulting company Scientific Software Corporation.

Peter holds a BSc degree in Physics from the University of British Columbia and a MS degree in Nuclear Engineering from Stanford University.  He has been an active member of the Society of Petroleum Engineers, including Director for the Asia-Pacific region (1996-98) and as a member of the Board.  He was an SPE Distinguished Lecturer during 2001-02 and a PESA Distinguished Lecturer during 2002.  He has lectured at many institutions and was a visiting professor at Stanford University in 2000.  He has published over 40 papers, technical and managerial topics. His professional interests are in optimal planning and project management of offshore petroleum discoveries. His primary research interests are in the area of special core analysis and the development of predictive models for reservoir characterisation.