Solving the Challenges of Field Scale Heavy Oil and Oil Sands Simulation

Disciplines: Reservoir

Course Description

The emphasis of this 1-day course will be on providing practical guidance and understanding. The basic constructs involved in a reservoir simulator and their implications to the approaches that are used in building efficient simulation models for different thermal recovery processes will be discussed. Upon completion of the course, you will be able to build and run simulation-friendly reservoir models that reflect different types of thermal recovery processes.


  • Fundamentals of reservoir simulators
  • Building a simulation friendly geomodel
  • Sensible relative permeabilities
  • PVT modelling, component selection, solvents
  • Types and use of wellbore modelling
  • Numerical tuning, parallelisation issues, and dynamic gridding
  • Sensitivity Analysis and Optimisation

Why Attend

You’ll learn the underlying principles of reservoir simulation and how these drive the construction of geological models and the modelling of recovery processes.

Who Attends

Reservoir engineers and geologists who are involved in the modelling of thermal processes to recover heavy oil and bitumen.

Cancellation Policy

All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.

SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.

We reserve the right to substitute course instructors as necessary.


Shawket Ghedan is currently a Reservoir Simulation Advisor with CMG. He has more than 22 years of both academic and industrial experience in the area of reservoir management and modeling. Ghedan is supervising and modeling various applications of thermal recovery processes for heavy oil reservoirs as well as modeling oil and gas production from conventional and unconventional reservoirs. Previously, he held associate professor positions with the Petroleum Institute of Abu Dhabi and University of Baghdad. He also held senior reservoir simulation positions with Abu Dhabi National Oil Co. and Abu Dhabi Marine Operating Company. Furthermore, he was senior instructor and consultant with NExT-Schlumberger.

Ghedan is currently interested in the area of SCAL data for heavy oil reservoirs, thermal recovery processes in carbonate naturally fractured reservoirs, as well as chemical flooding. He has experience in reservoir characterization, and modeling for waterflooding, and hydrocarbon gas and CO₂-compositional flooding, applied especially for carbonate reservoirs.

Ghedan has authored more than 40 technical papers, and has taught many reservoir engineering and reservoir modeling courses world-wide. He holds a BS degree in Petroleum Engineering from University of Baghdad, and ME and PhD degrees in Reservoir Engineering from Colorado School of Mines. Shawket is currently involved in a number of SPE international activities. He was SPE Distinguished Lecturer for 2005-2006. He was awarded the 2009 MENA Regional Reservoir Description and Dynamics Technical Award, 2010 SPE Outstanding Technical Editor Award, and 2011 MENA Regional Distinguished Petroleum Engineering Faculty Award.

Other courses by this instructor

Ensuring Reliable SCAL Data for Reservoir Modeling
Shawket Ghedan

Special Core Analysis, SCAL data has a direct impact on the way fluids are allocated and distributed in the reservoir simulation models, which would directly impact reservoirs’ STOIIP estimation and their distribution. Moreover, it directly affects t...

Disciplines: Reservoir

Principles and Application of SCAL Data for Heavy Oil Reservoirs
Shawket Ghedan

The impact of Special Core Analysis, SCAL, data on the way fluids are distributed in conventional reservoirs, their hydrocarbons initially in place as well as its subsequent estimation of reserves are well researched, under different conditions of depl...

Disciplines: Data Science, Engineering Analytics, Management, Reservoir