Production from a field is limited by whichever part of the system is the tightest constraint, and that constraint is rarely where engineers assume it is. It can sit in the reservoir inflow, in the tubing, at the wellhead choke, in the flowline, or at the separator. Treating the well and the surface network as one connected system is the only reliable way to find where production is actually being lost and what will recover it.


This workshop covers integrated production modeling from the sandface to the surface facilities. It begins with well modeling and nodal analysis: building an inflow performance relationship, constructing a vertical lift performance curve, matching the model against measured well test data, and locating the operating point of the well. Participants then work through running sensitivities on tubing size, wellhead pressure, water cut, gas-oil ratio and reservoir pressure, and generating lift curves for use in reservoir simulation.


Inflow modeling is covered for vertical, deviated, horizontal, multilayer and multilateral well geometries, including the assumptions behind each model and where they break down. The workshop then extends from single wells to the full production and injection network, covering pressure losses in flowlines and manifolds, backpressure effects, bottleneck identification and network-wide optimisation.


The final section deals with field development planning applications: testing alternative development strategies, evaluating artificial lift and compression options, running predictions against a defined production target, and generating forecasts. Field case studies are used throughout to show how the methods are applied on real assets and what the results are used for.


The workshop is delivered at an advanced level and is intended for production, reservoir and petroleum engineers involved in well performance and field optimisation.

Workshop Objectives

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


Describe the integrated production system and identify where production constraints occur between the reservoir and the delivery point


Build a well model comprising inflow performance (IPR) and vertical lift performance (VLP) and determine the operating point through nodal analysis


Select and apply appropriate multiphase flow correlations and match the model against measured well test data


Run sensitivity analysis on tubing size, wellhead pressure, water cut, gas-oil ratio and reservoir pressure


Generate lift curves for use in reservoir simulation studies


Apply inflow models appropriate to vertical, deviated, horizontal, multilayer and multilateral well geometries


Model production and injection networks, including pressure losses, commingling effects and backpressure


Identify bottlenecks in the surface network and quantify the production gain from removing them


Evaluate artificial lift and compression options for well and field performance improvement


Test alternative field development strategies and generate production forecasts


Run prediction cases against a fixed production target using coupled well and network models


Apply the workflow to field case studies and interpret the results for 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.