Training & Professional Development

Training philosophy
We believe the best petroleum engineers are built through hands-on practice with real data, real tools, and real problems. Our training programs combine theoretical foundations with intensive computational work — producing engineers who can code, model, and interpret.
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Industry Project-Based Curriculum

GSERC trainees work on active field studies using the same datasets, software, and workflows deployed to operators. Recent training modules include:

Module 1: Unconventional Reservoir Characterization

PTA/RTA/DCA integration for tight-gas reservoirs. Trainees build Python diagnostic platforms, identify flow regimes, cross-validate permeability and fracture parameters, and forecast EUR using field data from Tunisia.

Module 2: Artificial Lift Selection & Economic Optimization

Design and evaluate ESP, Gas Lift, VPC, and Hybrid GL-ESP systems for high water-cut mature wells. Trainees use PROSPER/PIPESIM and custom Python/VBA tools to size equipment, model flow assurance, and build 10-year economic forecasts.

Module 3: Probabilistic Reserves & PSC Economic Modeling

Monte Carlo simulation for OOIP/STOOIP estimation and NPV/ROI evaluation under Production Sharing Contracts. Trainees develop Excel VBA and Python stochastic models using real Mediterranean and West African field parameters.

Module 4: Machine Learning for Automated Well Log Interpretation

Build ENY apps-style classifiers using Random Forest, XGBoost, and Decision Tree algorithms. Trainees process well log data from the Rio Del Rey Basin, perform feature engineering, and deploy models that achieve >99% accuracy in sub-second execution.

the nechelik field
Trainees work through the full workflow: importing real-field geostatistical data, building a 54×22 heterogeneous grid, implementing the Peaceman well model, running implicit pressure solvers, and validating against the Theis/Ei-function analytical solution.
Trainees build a fully implicit 3D black-oil simulator from first principles in Python. Covers PVT modeling, relative permeability, capillary pressure, Newton-Raphson Jacobian assembly, and scenario-based injection optimization across five development cases.
Trainees implement an IMPES two-phase simulator for dipping reservoirs with gravity segregation and capillary pressure. Covers Brooks-Corey rel perm, upwind mobility weighting, Buckley-Leverett validation, and adaptive well conversion strategies.
Trainees build a fully implicit 2D simulator for pressure transient analysis in heterogeneous anisotropic reservoirs. Covers non-uniform grid generation, harmonic transmissibility, Peaceman well model with mixed constraints, and gravity-aware initialization.
Trainees construct a 7×7 simulator with fault-induced barriers and implement a custom Gaussian elimination solver from scratch. Covers sparse matrix assembly, transmissibility masking, compartmentalized flow, and pressure-constrained well operations.

Internship program — 7 months, full-time

Our flagship program places interns on active research projects where they function as junior petroleum software developers and reservoir engineering research interns.

What interns do:

• Conduct research on unconventional oil & gas reservoirs
• Perform PTA for hydraulically fractured unconventional reservoirs
• Apply RTA techniques using type-curve methods (Fetkovich-Arps, Blasingame, Agarwal-Gardner)
• Develop production forecasting models using modern DCA (Duong, LGM, SEPD, T-model)
• Design and develop Python-based computational applications

Recent spotlight: Ms. Blandine Marcelle Dibondji Mbellas completed a seven-month internship (July 2022 – January 2023) and was recognized for computing, analytical, and teamwork excellence.

Flagship program

Ad hoc technical training
Custom training for universities, industry professionals, and O&G companies. Upskilling in specific tools, methods, or workflows.
Professional courses
PTA fundamentals to advanced · RTA type-curve methods · Modern DCA · Python for reservoir engineers · Reservoir simulation fundamentals
Seminars & webinars
Regular knowledge-sharing sessions delivered by senior researchers and invited industry experts. Topics range from emerging research findings to practical software tutorials.
How to apply

Internships: Submit your CV, academic transcripts, and a brief statement of interest to gserc.research.sa@gmail.com

Corporate training: Contact us to discuss customized program design and scheduling.