Courses delivered by a team of upstream & downstream petroleum engineers.
Drilling Engineering & Workover Operations
From drilling and intervention planning to rig-site execution — safe, efficient drilling and workovers that restore production and protect well integrity.
3–5 Days
Drill Bits Selection & Optimization
Drilling Engineers · Field Engineers · Drilling supervisors · Bit Runners
Select, run, and evaluate drill bits to maximize rate of penetration and bit life across different formations.
Course content
Bit types and IADC dull/classification coding
Bit selection vs. formation and drilling parameters
Dull grading, bit records, and performance analysis
Plan and execute common workover activities including completion change, fishing, remedial cement, and stimulation — with well control and troubleshooting awareness.
Course content
Workover objectives, well barriers, rig-up, rig down and various workover rig systems
completion change, fishing, remedial cement, and stimulation operations
Well control on live wells
By the end of the course, you will be able to
Plan and execute common workover activities safely
Apply well-control basics and avoid integrity risks
Format
Production & Facilities Engineering
Covering artificial lift — ESP, gas lift, sucker-rod and jet pumps — nodal analysis, and surface facilities like tanks and separators across the full production system.
3–5 Days
Well Performance & Production Analysis
Production Engineers
Understand and optimize the full production system using nodal analysis and real field data.
Course content
Inflow and outflow performance fundamentals
Nodal analysis on real well data
Identifying and removing production bottlenecks
By the end of the course, you will be able to
Build a nodal model and find the operating point
Diagnose underperforming wells systematically
Format
5–7 Days
Electrical submersible pump (ESP)
Production Engineers · Field Engineers · Artificial Lift Engineers
Design, select, and optimize ESP systems across a wide range of well conditions and operational challenges.
Course content
ESP system components and operating envelope
Sizing and selection for variable well conditions
Failure modes, run-life, and optimization
By the end of the course, you will be able to
Size and select an ESP for a given well
Spot conditions that shorten ESP run-life
Format
Reservoir Engineering
From rock and fluid properties to drive mechanisms, material balance, and simulation — practical reservoir engineering for forecasting and field development.
3–5 Days
Reservoir Engineering Fundamentals
Reservoir Engineers
Core reservoir engineering — rock and fluid properties, drive mechanisms, hydrocarbon in place estimate and decline curve analysis.
Course content
Rock and fluid (PVT) properties
Reservoir drive mechanisms
Material balance and decline curve analysis
By the end of the course, you will be able to
Identify the drive mechanism and expected recovery
Apply material-balance basics to a defined reservoir
Format
Geology & Geophysics
From rock and depositional setting to seismic interpretation connecting subsurface geology to reservoir behavior and engineering decisions.
4–5 Days
Seismic Interpretation
Geophysicists · Reservoir Engineers
Interpret seismic data and integrate it to build and refine subsurface models.
Course content
Seismic acquisition and processing basics
Structure picking e.g., faults, folds and well ties.
Integrating seismic with well and geologic data
By the end of the course, you will be able to
Interpret a seismic section with confidence
Combine seismic and well data into a model
Format
Refinery & Petrochemical Engineering
Downstream from crude to product and process fundamentals, conversion units, and petrochemical plant operations for safe, optimized facilities.
4–6 Days
Petrochemical Processes
Process & Plant Engineers
Major petrochemical routes and the operating discipline that keeps plants safe, reliable, and optimized.
Course content
Olefins and aromatics production routes
Polymer fundamentals and product chains
Plant safety, reliability, and optimization
By the end of the course, you will be able to
Outline the major petrochemical process routes
Apply basic optimization and safety principles
Format
Data Science, ML & AI in Petroleum Engineering
Convert field data into reliable engineering decisions — practical AI grounded in petroleum physics and real workflows.
5–7 Days
Machine Learning in Petroleum Engineering
Oil & gas professionals
Build, validate, and harness ML models for petroleum engineering applications.
Course content
Identifying a gap for ML applications in petroleum engineering
Data collection, preprocessing, model building and validation
Model deployment and adoption in a company workflow
By the end of the course, you will be able to
Build and validate an ML model on field data
Evaluate results and avoid common pitfalls
Format
Train your team
Every course can be delivered as a compact program or an expanded workshop, tailored to your team's level and field requirements.
