A reservoir simulation model is only as useful as the decisions it supports. Many models are technically complete but never answer the question they were built for, either because the input data was not properly conditioned, the history match was forced rather than earned, or the prediction cases did not reflect real operating constraints.


This workshop takes participants through the practical construction and use of a dynamic simulation model, following the sequence an engineer actually works in. It begins with the structure of the simulation input deck and the role of each section, then covers fluid and rock physics modeling, model initialisation and the calculation of dynamic in-place volumes, including how these are checked against volumetric and material balance estimates.


The workshop then addresses static model review and quality control: assessing 3D grid geometry, property distributions and upscaling before the model is ever run, and using slicing, cross-sections, streamlines and bubble maps to understand what the model is actually representing. Well and completion modeling follows, covering well trajectories, completion definition, well controls and the construction of development schedules.


History matching is treated as a structured process rather than trial and error, covering pressure and production matching, the parameters that are legitimate to adjust, fine-tuning strategies and how to judge when a match is acceptable. Uncertainty and sensitivity analysis is then used to bracket the range of outcomes rather than relying on a single deterministic answer.


The final section covers prediction and optimisation: building and comparing development strategies, waterflooding development cases including drainage analysis and streamline interpretation, well placement optimisation, and determining the best trajectory for a horizontal well. The workshop is delivered at an advanced level and is intended for reservoir engineers who build, review or use dynamic simulation models.

Workshop Objectives

By the end of this workshop, participants will be able to:


Describe the structure of a simulation input deck and the function of each data section


Prepare and quality-control fluid property and rock physics data for use in a dynamic model


Initialise a simulation model and calculate dynamic in-place volumes, and reconcile them with volumetric and material balance estimates


Review and quality-control 3D static grid models for geometry, property distribution and upscaling before dynamic use


Apply analysis tools including slicing, cross-sections, streamlines and bubble maps to interpret model behaviour


Create and edit 3D properties and manage multiple model cases


Define well trajectories, completions and well controls, and build development schedules


Carry out structured history matching of pressure and production data and assess the quality of the match


Define and run uncertainty and sensitivity analyses to bracket the range of possible outcomes


Apply fine-tuning strategies to adjust a model without invalidating the underlying geology


Build and compare prediction development strategies for depletion and waterflooding


Analyse waterflood performance using drainage tables, drainage graphs, streamlines and drainage networks


Apply well placement optimisation methods and determine the optimum trajectory for a horizontal well


Generate production forecasts and recovery estimates to support field development decisions

About the Presenter

Eng. Hesham Mokhtar Ali


Senior Reservoir Engineer | Certified Instructor | MSc, Cairo University


Hesham Mokhtar Ali is a reservoir engineer with over 14 years of experience across operating, service and training organisations. He is currently with Kuwait Energy in subsurface development planning, working on the Yamama, Zubair and Mishrif reservoirs in the Faihaa field, Block 9, Iraq, where his responsibilities cover field development planning, reserves classification and auditing under SPE-PRMS, reservoir simulation and production forecasting. He previously spent six years as Reservoir Engineering Team Leader at General Petroleum Company in Egypt, managing Western Desert and Gulf of Suez assets.


His technical background covers material balance and decline curve analysis, pressure and rate transient analysis, integrated production modeling, waterflood management and full-field dynamic modeling. He holds an MSc in Reservoir Engineering and a BSc in Petroleum Engineering from Cairo University, and has published with SPE on permeability estimation, formation evaluation and carbonate rock typing.


Since 2020 he has delivered reservoir engineering and simulation training to Repsol, ADNOC Group, Kuwait Oil Company, OMV, SLB, Halliburton, Sonatrach, Gazprom Neft, Petroleum Development Oman and Pakistan Petroleum. He is a member of the Society of Petroleum Engineers.

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Material Balance Modeling
November 28, 2026 - November 29, 2026
Material Balance Modeling

Material balance is one of the most direct methods available to a reservoir engineer for estimating hydrocarbons in place, identifying the drive mechanism and forecasting reservoir performance. It requires far less data than a full numerical model, and when it is set up correctly it produces results that can be defended in technical reviews and reserve audits.This workshop covers the complete material balance workflow as it is applied on producing assets. It begins by placing the reservoir within the integrated production system, then moves through data preparation and quality control, tank model construction, drive mechanism identification, and the use of analytical and graphical diagnostic tools. Participants work through the classical diagnostic plots, including Dake and Campbell, and learn how to read what each plot indicates about depletion, gas cap expansion and water influx.The second part of the workshop addresses history matching using both analytical and graphical techniques, determination of STOIIP, aquifer identification and sizing, and running prediction cases to generate production forecasts and recovery estimates. Results are compared against volumetric and simulation-based estimates so that participants understand where material balance is reliable and where a numerical model becomes necessary.The workshop is delivered at an advanced level and is intended for engineers who already work with production and pressure data and want a structured, repeatable method for in-place volumes, drive mechanism evaluation and performance prediction.