Advanced Oilfield Production Engineering Training Course

Advanced Oilfield Production Engineering Training Course

Introduction

Advanced Oilfield Production Engineering Training Course is designed to equip oil and gas professionals with advanced technical knowledge and practical skills for optimizing hydrocarbon production, improving well performance, and maximizing asset value throughout the production lifecycle. This advanced training course explores the core principles of oilfield production engineering, well performance analysis, reservoir–wellbore integration, production optimization, artificial lift systems, multiphase flow modelling, nodal analysis, and well intervention planning. Participants will develop the ability to evaluate production systems holistically, diagnose operational bottlenecks, interpret production data, and implement engineering solutions that enhance recovery rates while maintaining operational safety, environmental compliance, and economic viability.

Through practical exercises, engineering simulations, industry-based case studies, and collaborative problem-solving sessions, participants will learn to optimize surface and subsurface production systems, manage water and gas production, mitigate scale and corrosion, control sand production, and evaluate enhanced oil recovery opportunities. Particular attention is given to production system debottlenecking, energy-efficient operations, mature field optimization, emissions reduction, and data-driven production management. By the end of the programme, participants will be better prepared to develop technically sound production strategies, improve well uptime, reduce production losses, increase operational reliability, and support sustainable hydrocarbon development. The knowledge gained will enable organizations to strengthen production performance, optimize operating expenditure (OPEX), improve asset integrity, and maximize the long-term value of oil and gas assets in an increasingly competitive energy market.

Course Duration

10 days

Course Objectives

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

1. Apply advanced oilfield production engineering principles to improve hydrocarbon recovery and operational performance.
2. Conduct comprehensive well performance analysis using pressure, flow-rate, and production-history data.
3. Perform nodal analysis and production system optimization to identify wellbore and surface facility constraints.
4. Evaluate and optimize artificial lift technologies, including gas lift, electric submersible pumps (ESPs), and sucker-rod pumping systems.
5. Apply multiphase flow modelling to predict pressure losses and improve production system design.
6. Develop reliable production forecasting and decline curve analysis models for short- and long-term planning.
7. Implement real-time production surveillance to detect performance deviations and emerging operational problems.
8. Use digital oilfield analytics and AI-enabled predictive maintenance to enhance production reliability.
9. Diagnose and mitigate flow assurance challenges, including hydrate formation, wax deposition, scale, and asphaltenes.
10. Develop effective strategies for water production management, gas handling, and sand control.
11. Evaluate well stimulation, workover, and intervention strategies to restore or improve productivity.
12. Integrate production economics, risk assessment, and lifecycle cost optimization into engineering decisions.
13. Design integrated strategies for production debottlenecking, energy efficiency, emissions reduction, and sustainable oilfield operations.

Target Audience

1. Production Engineers 
2. Petroleum Engineers
3. Reservoir Engineers i
4. Well Operations and Intervention Engineers
5. Artificial Lift Specialists 
6. Field Production Supervisors and Operations Managers 
7. Flow Assurance and Process Engineers
8. Oil and Gas Asset Managers, Consultants, and Technical Leaders 

Course Modules

Module 1: Advanced Fundamentals of Oilfield Production Engineering

• Principles of hydrocarbon production systems and integrated asset performance.
• Reservoir, wellbore, and surface facility interactions.
• Production lifecycle management and recovery optimization.
• Key performance indicators (KPIs) for production efficiency and reliability.
• Technical, operational, and economic factors affecting oilfield productivity.
• Case study: Assessing production losses in a mature oilfield and identifying engineering interventions to improve overall asset performance.

Module 2: Reservoir–Wellbore Integration and Inflow Performance

• Reservoir pressure, permeability, and fluid properties affecting well productivity.
• Inflow performance relationship (IPR) development and interpretation.
• Productivity index (PI) analysis under varying reservoir conditions.
• Pressure-transient data integration into production decisions.
• Reservoir depletion effects on well deliverability and recovery.
• Case study: Evaluating declining oil production in a depleted reservoir and developing a well-performance improvement plan.

Module 3: Advanced Nodal Analysis and Production System Optimization

• Fundamentals of nodal analysis and system operating-point determination.
• Integration of inflow and outflow performance relationships.
• Tubing size, wellhead pressure, and choke optimization.
• Sensitivity analysis for reservoir pressure and water cut changes.
• Identification of production bottlenecks using integrated system models.
• Case study: Optimizing a constrained oil well by evaluating tubing configuration, choke settings, and separator pressure.

Module 4: Artificial Lift Engineering and Optimization

• Selection criteria for gas lift, ESP, rod pumping, and hydraulic lift.
• Gas lift design, injection-rate optimization, and unloading strategies.
• ESP performance curves, pump selection, and operating-envelope analysis.
• Artificial lift troubleshooting, reliability, and failure prevention.
• Lifecycle cost analysis and artificial lift technology selection.
• Case study: Comparing gas lift and ESP alternatives for a declining offshore oil well with increasing water production.

Module 5: Multiphase Flow and Production Hydraulics

• Fundamentals of gas–liquid and oil–water multiphase flow.
• Flow-regime identification and pressure-drop calculations.
• Vertical, horizontal, and inclined pipeline flow modelling.
• Slugging behaviour, transient flow, and flow instability.
• Application of production simulators to hydraulic system optimization.
• Case study: Diagnosing unstable production caused by severe slugging in a multiphase offshore pipeline.

Module 6: Production Forecasting and Decline Curve Analysis

• Historical production-data validation and trend interpretation.
• Exponential, harmonic, and hyperbolic decline curve analysis.
• Forecasting oil, gas, and water production profiles.
• Uncertainty assessment and scenario-based production forecasting.
• Integration of forecasts into reserves evaluation and operational planning.
• Case study: Developing base, upside, and downside production forecasts for a mature field undergoing waterflooding.

Module 7: Production Surveillance and Performance Analytics

• Real-time production monitoring and surveillance workflows.
• Daily production allocation, reconciliation, and data quality control.
• KPI dashboards for well uptime, deferment, and production efficiency.
• Anomaly detection and root-cause analysis of production deviations.
• Automated reporting and exception-based operational monitoring.
• Case study: Using production dashboards to identify underperforming wells and prioritize corrective actions across a multiwell asset.

Module 8: Digital Oilfield Technologies, AI, and Digital Twins

• Digital oilfield architecture and integrated operations centres.
• AI and machine learning applications in production optimization.
• Predictive maintenance using equipment and sensor data.
• Digital twin applications for wells, artificial lift, and surface facilities.
• Data integration, cybersecurity awareness, and technology adoption challenges.
• Case study: Implementing predictive analytics to identify early ESP failure indicators and reduce unplanned production downtime.

Module 9: Flow Assurance and Production Chemistry

• Hydrate prevention and management in gas and multiphase systems.
• Wax and asphaltene deposition mechanisms and mitigation.
• Scale formation, corrosion monitoring, and chemical treatment.
• Production chemical selection, injection systems, and dosage optimization.
• Flow assurance risk assessment and operational contingency planning.
• Case study: Resolving recurring wax deposition in a long subsea flowline through thermal management and chemical inhibition.

Module 10: Water Management, Gas Handling, and Sand Control

• Water-cut monitoring and diagnosis of excessive water production.
• Water shutoff methods and conformance improvement.
• Gas–liquid separation, gas handling, and compression constraints.
• Sand production mechanisms and sand-control technology selection.
• Produced-water treatment, reinjection, and disposal considerations.
• Case study: Reducing excessive water production from a mature well while assessing the economic viability of selective water shutoff.

Module 11: Well Stimulation, Workovers, and Production Restoration

• Formation damage mechanisms and productivity impairment.
• Matrix acidizing, hydraulic fracturing, and stimulation evaluation.
• Workover planning, intervention selection, and operational readiness.
• Scale removal, cleanouts, and mechanical restoration techniques.
• Post-intervention performance evaluation and production verification.
• Case study: Evaluating a stimulation programme for a low-productivity well and comparing the expected production uplift with intervention costs.

Module 12: Well Integrity, Reliability, and Production Risk Management

• Well integrity barriers and risk-based inspection principles.
• Annular pressure monitoring and diagnosis of integrity anomalies.
• Equipment reliability, failure mode analysis, and root-cause investigation.
• Operational risk assessment and management of change.
• Preventive maintenance, reliability-centred maintenance, and safety assurance.
• Case study: Investigating repeated well shutdowns associated with abnormal annular pressure and developing an integrity-focused remediation plan.

Module 13: Surface Facilities Optimization and Production Debottlenecking

• Separation efficiency and oil, gas, and water processing performance.
• Separator pressure and temperature optimization.
• Gathering systems, compression capacity, and export constraints.
• Facility bottleneck identification and production debottlenecking methods.
• Energy consumption, equipment utilization, and capacity management.
• Case study: Increasing field production by identifying separator and gas-compression constraints without compromising process safety.

Module 14: Production Economics, Asset Management, and Lifecycle Optimization

• Production operating expenditure and unit operating cost analysis.
• Net present value (NPV), internal rate of return (IRR), and payback analysis.
• Economic screening of workovers, artificial lift upgrades, and stimulation.
• Production deferment valuation and intervention prioritization.
• Integrated asset planning, uncertainty analysis, and value optimization.
• Case study: Ranking five candidates well interventions by incremental recovery, expected cost, execution risk, and economic return.

Module 15: Integrated Production Optimization and Sustainable Operations

• Integrated production modelling across reservoirs, wells, and facilities.
• Fieldwide optimization using constrained-resource allocation.
• Energy efficiency improvements and production-related emissions reduction.
• Methane monitoring, flare minimization, and environmental performance.
• Development of an integrated production improvement roadmap.
• Case study: Preparing a production optimization plan for a mature oilfield targeting higher recovery, lower operating costs, reduced flaring, and improved equipment reliability.

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.