Formation evaluation is where the reservoir first becomes measurable. Every downstream calculation, net pay, porosity, saturation, in-place volumes and ultimately the development plan, rests on how well the logging data was acquired, corrected and interpreted, and on how consistently it was tied back to core and pressure measurements.


This workshop covers the full integrated formation evaluation workflow. It begins with data preparation: log quality control, depth matching and normalisation, and an understanding of what each logging measurement actually responds to, its depth of investigation and its vertical resolution. Participants then work through lithology and porosity evaluation in both clean and shaly formations, resistivity measurements and their environmental corrections, and the application of the Archie equation together with the parameters derived from electrical measurements on core.


The workshop then moves into saturation-height modeling and the integration of core, log and capillary pressure data into a consistent petrophysical model. Pressure and fluid data from wireline formation testers is covered in detail, including quality control of pressure measurements, gradient analysis, fluid contact determination and the use of fluid sampling results.


The final sections address advanced measurements and their applications: nuclear magnetic resonance logs for porosity partitioning and permeability estimation, cement evaluation logs, and quick-look log analysis for real-time operational decisions. The workshop closes with integrated interpretation, bringing petrophysical, engineering and geological data together into a single reservoir description.


The workshop is delivered at an intermediate level and is intended for petrophysicists, reservoir engineers, geologists and operations engineers who work with well log data.

Workshop Objectives

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


Apply an integrated reservoir characterisation workflow that combines log, core, pressure and production data


Carry out log quality control, depth matching and normalisation across a multi-well data set


Select appropriate logging measurements based on tool specifications, depth of investigation and vertical resolution


Evaluate lithology and porosity in clean and shaly formations using density, neutron, sonic and gamma ray measurements


Interpret resistivity measurements and apply the necessary environmental corrections


Apply the Archie equation and determine its parameters from electrical measurements on core samples


Build saturation-height models and integrate them with capillary pressure and core data


Perform quick-look log analysis to support real-time operational decisions


Interpret wireline formation tester data, including pressure quality control, gradient analysis and fluid contact determination


Evaluate fluid sampling results and assess sample representativeness


Apply nuclear magnetic resonance log data for porosity partitioning, fluid typing and permeability estimation


Interpret cement evaluation logs and assess zonal isolation


Produce an integrated log interpretation that is consistent with core, pressure and production data

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.