Advanced Petroleum Engineering Principles and Integrated Field Development Training Course

Advanced Petroleum Engineering Principles and Integrated Field Development Training Course

Introduction

Advanced Petroleum Engineering Principles and Integrated Field Development Training Course is designed to strengthen technical expertise in petroleum reservoir engineering, production optimization, drilling engineering, well completion, and integrated oil and gas field development. As the global energy industry increasingly embraces digital oilfield technologies, advanced reservoir characterization, data-driven decision-making, and cost-efficient production strategies, petroleum professionals must develop the multidisciplinary skills required to maximize hydrocarbon recovery and improve asset performance. This advanced petroleum engineering training course explores the fundamental and emerging principles of upstream petroleum operations, including fluid flow through porous media, reservoir pressure management, well performance analysis, enhanced oil recovery (EOR), production forecasting, and integrated reservoir modelling. Participants will gain practical insights into reservoir simulation, petroleum production engineering, well integrity management, field development planning, digital oilfield solutions, and hydrocarbon recovery optimization, enabling them to address complex engineering challenges throughout the oil and gas asset lifecycle.

The course emphasizes integrated field development planning (FDP), combining geological interpretation, reservoir engineering, drilling and completion design, surface facility engineering, production technology, and economic evaluation into a unified asset management framework. Through industry-based case studies, technical workshops, engineering simulations, and multidisciplinary project exercises, participants will learn how to evaluate development alternatives, optimize well placement, improve recovery factors, manage production uncertainties, and develop commercially viable field development strategies. Particular attention is given to reservoir-to-facilities integration, production system optimization, artificial intelligence in petroleum engineering, real-time production surveillance, carbon-conscious field development, and risk-based investment decisions. By integrating technical, operational, environmental, and financial considerations, this training programme equips professionals with the knowledge to improve recovery efficiency, reduce operating expenditure (OPEX), strengthen capital expenditure (CAPEX) planning, and support sustainable, data-driven decision-making across onshore and offshore petroleum assets.

Course Duration

10 days

Course Objectives

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

1. Apply advanced petroleum engineering principles to solve complex upstream oil and gas production challenges.
2. Evaluate reservoir properties, fluid characteristics, and geological uncertainties to improve hydrocarbon recovery.
3. Develop integrated field development plans aligned with technical feasibility, commercial viability, and asset lifecycle objectives.
4. Apply advanced reservoir engineering techniques to estimate reserves and optimize recovery factors.
5. Interpret pressure-volume-temperature (PVT) data and evaluate hydrocarbon phase behaviour for production planning.
6. Optimize well design, drilling programmes, and completion strategies for complex reservoirs.
7. Perform nodal analysis and production system modelling to improve well productivity and flow efficiency.
8. Assess artificial lift technologies, including gas lift, electric submersible pumps (ESPs), and rod pumping systems.
9. Integrate reservoir simulation, production forecasting, and dynamic modelling into field development decisions.
10. Evaluate enhanced oil recovery (EOR) methods and identify suitable reservoir management strategies.
11. Apply digital oilfield technologies, real-time surveillance, and AI-assisted analytics to improve operational performance.
12. Conduct petroleum project economics, CAPEX/OPEX analysis, uncertainty assessment, and development scenario evaluation.
13. Develop integrated strategies for production optimization, asset integrity, emissions reduction, and long-term field sustainability.

Target Audience

1. Petroleum engineers and senior petroleum engineering specialists.
2. Reservoir engineers and reservoir simulation professionals.
3. Production engineers and well performance optimization specialists.
4. Drilling engineers and well completion engineers.
5. Geologists, geophysicists, and subsurface characterization specialists.
6. Field development planners, asset managers, and petroleum project engineers.
7. Oil and gas operations managers, technical consultants, and engineering team leaders.
8. Petroleum economists, project evaluators, and energy investment professionals.

Course Modules

Module 1: Advanced Petroleum Engineering Fundamentals

• Principles of petroleum engineering and upstream asset management.
• Hydrocarbon accumulation, migration, and reservoir characterization.
• Rock properties, porosity, permeability, and fluid saturation.
• Fluid flow through porous media and Darcy's law applications.
• Integration of subsurface and surface engineering disciplines.
• Case Study: Evaluate a mature oilfield to identify how reservoir properties, fluid behaviour, and production constraints influence field performance.

Module 2: Reservoir Characterization and Petrophysical Evaluation

• Reservoir geology and depositional environment interpretation.
• Well logging techniques and petrophysical data analysis.
• Porosity, permeability, water saturation, and net pay determination.
• Core analysis, formation evaluation, and reservoir quality assessment.
• Geological modelling and static reservoir model development.
• Case Study: Integrate well logs, core measurements, and geological data to delineate productive reservoir intervals in a heterogeneous sandstone field.

Module 3: Petroleum Fluid Properties and PVT Analysis

• Crude oil, natural gas, and formation water properties.
• Pressure-volume-temperature analysis and laboratory data interpretation.
• Bubble-point pressure, dew-point pressure, and phase behaviour.
• Formation volume factors, viscosity, and gas-oil ratios.
• Fluid characterization for reservoir simulation and production forecasting.
• Case Study: Assess PVT data from a volatile oil reservoir to determine the implications of pressure depletion on fluid properties and production performance.

Module 4: Advanced Reservoir Engineering and Management

• Material balance analysis and reservoir drive mechanisms.
• Reservoir pressure monitoring and depletion management.
• Inflow performance relationships and well productivity.
• Water influx, aquifer support, and pressure maintenance.
• Recovery factor estimation and reservoir management planning.
• Case Study: Develop a pressure management strategy for a mature reservoir experiencing declining pressure and increasing water production.

Module 5: Reservoir Simulation and Dynamic Modelling

• Static and dynamic reservoir model integration.
• Grid construction, rock-fluid properties, and relative permeability.
• History matching and production data calibration.
• Production forecasting under alternative development scenarios.
• Uncertainty analysis and simulation-based decision-making.
• Case Study: Compare alternative infill drilling and pressure maintenance scenarios using a simulated reservoir model to identify potential production improvements.

Module 6: Drilling Engineering and Well Design Optimization

• Well planning, trajectory design, and drilling programme development.
• Drilling fluid selection and wellbore stability assessment.
• Pressure management, kick detection, and well control principles.
• Drilling performance indicators and non-productive time reduction.
• Drilling risk assessment, cost control, and operational efficiency.
• Case Study: Review a deviated well with recurring drilling delays and develop an improved drilling programme to reduce operational risks and non-productive time.

Module 7: Well Completion, Integrity, and Intervention

• Completion design for vertical, deviated, and horizontal wells.
• Sand control, perforation strategies, and inflow management.
• Well integrity barriers and annular pressure monitoring.
• Well stimulation, workovers, and intervention planning.
• Completion performance evaluation and lifecycle cost optimization.
• Case Study: Develop a completion remediation strategy for a well experiencing sand production, declining productivity, and integrity concerns.

Module 8: Production Engineering and Nodal Analysis

• Inflow and outflow performance relationships.
• Nodal analysis for integrated well and production system optimization.
• Multiphase flow behaviour in tubing and flowlines.
• Wellhead pressure, choke management, and backpressure effects.
• Production bottleneck identification and performance improvement.
• Case Study: Use nodal analysis to identify the cause of declining production in a well affected by high backpressure and increasing water cut.

Module 9: Artificial Lift and Production Optimization

• Artificial lift selection based on reservoir and well conditions.
• Gas lift design, injection optimization, and troubleshooting.
• Electric submersible pump (ESP) selection and performance monitoring.
• Rod pumping systems and other suitable lift technologies.
• Production surveillance, lift efficiency, and operating cost reduction.
• Case Study: Compare gas lift and ESP alternatives for a declining oil well to determine the most appropriate technical and economic solution.

Module 10: Integrated Field Development Planning

• Field development planning principles and development concept selection.
• Integration of geology, reservoir engineering, drilling, and production.
• Well count, well placement, spacing, and phasing optimization.
• Surface facilities, export infrastructure, and processing requirements.
• Development sequencing, project execution, and lifecycle planning.
• Case Study: Prepare a preliminary integrated field development plan for a newly discovered offshore reservoir, comparing platform-based development with subsea tie-back options.

Module 11: Enhanced Oil Recovery and Improved Recovery Strategies

• Primary, secondary, and tertiary recovery mechanisms.
• Waterflood design, injection management, and sweep efficiency.
• Gas injection, miscible displacement, and pressure maintenance.
• Chemical flooding, polymer injection, and thermal recovery applications.
• EOR screening, pilot testing, and incremental recovery evaluation.
• Case Study: Screen waterflood optimization, gas injection, and polymer flooding alternatives for a mature field with declining recovery efficiency.

Module 12: Surface Facilities, Flow Assurance, and Production Systems

• Production facility design and process system fundamentals.
• Oil, gas, and produced-water separation technologies.
• Multiphase flow, hydrate formation, and wax deposition.
• Corrosion control, chemical injection, and pipeline integrity.
• Reservoir-to-facilities integration and capacity debottlenecking.
• Case Study: Investigate recurring flowline restrictions in a subsea production system and develop a flow assurance plan addressing hydrate risk, pressure losses, and production continuity.

Module 13: Digital Oilfield, AI, and Advanced Analytics

• Digital oilfield architecture and integrated operations centres.
• Real-time production monitoring and automated surveillance.
• Artificial intelligence and machine learning in production forecasting.
• Predictive maintenance and anomaly detection in petroleum assets.
• Digital twins, data integration, and decision-support systems.
• Case Study: Design a digital production surveillance workflow using sensor data and anomaly detection to identify declining well performance and anticipate equipment failures.

Module 14: Petroleum Economics, Risk, and Investment Evaluation

• Capital expenditure (CAPEX) and operating expenditure (OPEX) estimation.
• Net present value (NPV), internal rate of return (IRR), and payback analysis.
• Reserves valuation and production-based cash-flow forecasting.
• Sensitivity analysis, uncertainty modelling, and scenario planning.
• Risk-adjusted investment decisions and development portfolio prioritization.
• Case Study: Compare two field development concepts under alternative oil price, production, drilling cost, and project delay assumptions to determine their relative commercial attractiveness.

Module 15: Integrated Asset Management and Sustainable Field Development

• Integrated asset management and cross-functional decision-making.
• Production decline management and mature field redevelopment.
• Health, safety, environmental, and operational risk management.
• Methane emissions reduction, energy efficiency, and carbon management.
• Field development performance indicators and continuous improvement.
• Case Study: Develop an integrated redevelopment strategy for a mature oilfield that combines infill drilling, production optimization, emissions reduction, and improved asset economics.

Training Methodology

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.