Waterflooding remains the most widely applied secondary recovery method in the industry, and for most mature fields it accounts for the majority of recoverable reserves beyond primary depletion. Success depends less on the injection equipment than on the engineering decisions made before and during the flood: whether the reservoir is a suitable candidate, how the pattern is arranged, how much water is injected relative to what is produced, and how the flood is monitored once it is running.


This workshop covers the complete waterflooding workflow from candidate screening through to surveillance of an active flood. It begins with the geological factors that control sweep, continuity, heterogeneity, layering and faulting, and the reservoir and fluid data required to screen a field for waterflooding. It then moves into the core engineering concepts: mobility ratio, voidage replacement ratio, the fractional flow equation and the displacement mechanics that determine how efficiently injected water moves oil towards the producers.


Displacement, areal and vertical sweep efficiencies are treated in detail, together with the methods used to estimate recovery and predict flood performance over time. The workshop also covers the water side of the problem, which is where many floods fail in practice: water quality requirements, fluid-rock compatibility testing, scale prediction and prevention, and injectivity management.


The final section deals with waterflood surveillance, the plots, data and diagnostic methods used to judge whether a flood is performing as designed and what to do when it is not. The workshop is delivered at an intermediate level and is intended for reservoir, production and development engineers involved in secondary recovery projects.

Workshop Objectives

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


Assess the geological factors that control sweep efficiency and flood performance, including continuity, heterogeneity and layering


Screen a reservoir for waterflooding suitability using the required rock, fluid and production data


Evaluate the rock and fluid properties that govern displacement behaviour, including relative permeability and wettability effects


Calculate mobility ratio and voidage replacement ratio and interpret what each indicates about flood performance


Apply the fractional flow equation and the Buckley-Leverett method to describe frontal advance and breakthrough


Estimate displacement, areal and vertical sweep efficiencies and combine them into an overall recovery estimate


Specify injection water quality requirements and evaluate the risks of formation damage and injectivity loss


Carry out fluid-rock compatibility assessment and predict scale formation from mixing of injection and formation waters


Select appropriate scale prevention and mitigation measures


Predict waterflood performance and generate production and water cut forecasts


Design and apply a waterflood surveillance programme, and use standard diagnostic plots to identify underperformance and recommend corrective action

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.