Fluid properties enter almost every reservoir calculation that matters: in-place volumes, material balance, well test interpretation, nodal analysis and simulation forecasts. If the PVT data is wrong, or the right data has been applied at the wrong conditions, the error propagates through all of them without ever showing up as an obvious mistake.


This workshop covers reservoir fluids from sampling through to a validated fluid model. It begins with fluid classification and phase behaviour, black oil, volatile oil, gas condensate, wet and dry gas, and how each type behaves as pressure and temperature change through the reservoir, the tubing and the surface facilities. Sampling follows, covering bottomhole and surface sampling methods, when each is appropriate, the conditions required for a representative sample, and the common causes of unrepresentative samples.


The workshop then works through the standard laboratory experiments, constant composition expansion, differential liberation, separator tests, constant volume depletion and viscosity measurements, explaining what each experiment measures, how the results are reported and what they can and cannot be used for.


A substantial part of the workshop is devoted to data validation and report quality control. Participants work through the consistency checks used to identify errors in laboratory reports, including material balance checks on liberation data, density and compositional consistency, and the reconciliation of laboratory results against field observations.


Fluid modeling is then covered, including black oil property generation, correlation selection, equation of state modeling, characterisation of the heavy fraction, and tuning an equation of state against measured laboratory data. The workshop closes with the practical question of when a black oil description is sufficient and when a compositional description is required for simulation.


The workshop is delivered at an intermediate level and is intended for reservoir, production and process engineers who work with PVT data.

Workshop Objectives

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


Classify reservoir fluids and describe the phase behaviour of each type through the reservoir, wellbore and surface system


Select the appropriate sampling method for a given fluid type and well condition


Specify the well conditioning and operating requirements for obtaining a representative fluid sample


Describe the standard PVT laboratory experiments and explain what each measures and how the results are reported


Interpret constant composition expansion, differential liberation, separator test and constant volume depletion data


Apply consistency checks to validate laboratory PVT reports and identify erroneous or unrepresentative data


Reconcile laboratory results with field production and pressure observations


Generate black oil properties and select appropriate correlations where laboratory data is limited


Build an equation of state model, characterise the heavy fraction and tune the model against measured laboratory data


Apply separator optimisation to determine the conditions that maximise stock tank oil recovery


Determine whether a black oil or compositional description is required for a given reservoir study


Prepare validated fluid property data for use in material balance, well test analysis, production modeling and simulation

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.