Advanced Nodal Analysis for Production Optimization Training Course
Advanced Nodal Analysis for Production Optimization Training Course is designed to equip oil and gas professionals with advanced technical knowledge and practical skills to optimize well productivity, improve production efficiency, and maximize hydrocarbon recovery
Course Overview
Advanced Nodal Analysis for Production Optimization Training Course
Introduction
Advanced Nodal Analysis for Production Optimization Training Course is designed to equip oil and gas professionals with advanced technical knowledge and practical skills to optimize well productivity, improve production efficiency, and maximize hydrocarbon recovery. This comprehensive training course explores advanced nodal analysis, inflow performance relationship (IPR), vertical lift performance (VLP), well deliverability, pressure rate relationships, multiphase flow modeling, production system optimization, and artificial lift performance evaluation. Participants will learn how to evaluate reservoir pressure, bottom-hole flowing pressure, tubing configurations, choke settings, fluid properties, and surface facility constraints to determine the most efficient operating point for individual wells and integrated production networks. Through practical exercises, engineering simulations, and real-world case studies, delegates will develop the expertise required to diagnose production bottlenecks, improve well performance, and support data-driven production engineering decisions.
The course also focuses on applying digital oilfield technologies, production surveillance, sensitivity analysis, predictive production modeling, and integrated asset optimization to modern petroleum operations. Participants will explore how nodal analysis supports well intervention planning, artificial lift selection, gas lift optimization, water production management, well stimulation evaluation, and production forecasting under changing reservoir conditions. Emphasis is placed on integrating field production data with engineering models to improve decision-making, reduce operating costs, enhance energy efficiency, and increase recovery from mature and unconventional reservoirs. The training addresses practical challenges such as declining reservoir pressure, increasing water cut, gas handling limitations, flow assurance risks, and changing facility capacities. By the end of the programme, participants will be able to develop robust nodal analysis models, evaluate alternative production scenarios, recommend technically and economically viable interventions, and establish continuous optimization strategies that improve well productivity, production reliability, asset value, and operational performance across upstream oil and gas operations.
Course Duration
10 days
Course Objectives
By the end of this training course, participants will be able to:
- Explain advanced nodal analysis principles and their application in oil and gas production optimization.
- Develop and interpret inflow performance relationship (IPR) models for different reservoir conditions.
- Evaluate vertical lift performance (VLP) using appropriate multiphase flow correlations.
- Integrate reservoir, wellbore, and surface facility models for comprehensive production system analysis.
- Identify production bottlenecks using pressure–rate analysis and system performance diagnostics.
- Optimize tubing size, wellhead pressure, and choke settings to maximize production rates.
- Apply sensitivity analysis to evaluate reservoir pressure, water cut, gas–oil ratio, and fluid property variations.
- Assess artificial lift performance, including gas lift, electric submersible pumps, and rod pump systems.
- Use production surveillance data to calibrate nodal models and improve prediction accuracy.
- Evaluate well intervention opportunities through simulation-based production forecasting.
- Diagnose multiphase flow challenges affecting well deliverability and operational stability.
- Apply digital oilfield analytics and engineering simulation tools to support data-driven optimization.
- Develop cost-effective production improvement strategies using technical, economic, and operational performance indicators.
Target Audience
- Petroleum and production engineers.
- Reservoir engineers and reservoir management specialists.
- Well performance and well intervention engineers.
- Artificial lift and optimization engineers.
- Drilling and completion engineers involved in production planning.
- Production technologists and well surveillance specialists.
- Oil and gas operations managers and asset performance leaders.
- Technical consultants, field development planners, and upstream engineering professionals.
Course Modules
Module 1: Fundamentals of Advanced Nodal Analysis
- Principles of nodal analysis in integrated production systems.
- Pressure–rate relationships and operating point determination.
- Reservoir inflow and production system outflow fundamentals.
- Selection of the appropriate solution node for different well configurations.
- Case study: Identifying the production-limiting component in a conventional oil well.
Module 2: Reservoir Inflow Performance and IPR Modeling
- Fundamentals of reservoir deliverability and inflow performance.
- Productivity index estimation under different pressure conditions.
- Vogel IPR models for solution-gas-drive reservoirs.
- Composite IPR curves for multiphase and changing reservoir conditions.
- Case study: Estimating the impact of reservoir pressure decline on well productivity.
Module 3: Vertical Lift Performance and Multiphase Flow
- Principles of vertical lift performance (VLP) modeling.
- Multiphase flow regimes in tubing and production conduits.
- Evaluation of pressure losses due to friction, elevation, and acceleration.
- Comparison and selection of multiphase flow correlations.
- Case study: Comparing VLP predictions to field data for a high-gas-production well.
Module 4: Integrated Reservoir–Wellbore–Surface System Analysis
- Integration of reservoir, completion, tubing, and surface network models.
- Pressure distribution throughout the production system.
- Identification of the operating point using IPR and VLP intersections.
- Evaluation of flowline, separator, and facility backpressure effects.
- Case study: Optimizing production from a multiwell asset with shared processing facilities.
Module 5: Well Deliverability and Production Bottleneck Diagnosis
- Analysis of well test and production surveillance data.
- Identification of reservoir, completion, tubing, and surface restrictions.
- Assessment of skin damage and near-wellbore pressure losses.
- Differentiating reservoir limitations from wellbore and facility constraints.
- Case study: Diagnosing a declining oil well with stable reservoir pressure but falling production.
Module 6: Tubing, Choke, and Wellhead Pressure Optimization
- Evaluation of tubing diameter and completion configurations.
- Impact of wellhead pressure on production potential.
- Choke sizing and flow restriction analysis.
- Optimization of flowing bottom-hole pressure and surface operating conditions.
- Case study: Selecting an optimal tubing size and choke setting for a mature producing well.
Module 7: Sensitivity Analysis and Production Scenario Modeling
- Sensitivity analysis for reservoir pressure and productivity index.
- Evaluating the influence of water cut and gas–oil ratio.
- Assessing fluid viscosity, density, and temperature effects.
- Production forecasting under alternative operating scenarios.
- Case study: Ranking optimization opportunities under multiple reservoir and fluid conditions.
Module 8: Artificial Lift Performance Optimization
- Principles of artificial lift selection and system evaluation.
- Gas lift injection rate and injection pressure optimization.
- Electric submersible pump performance and operating envelope assessment.
- Rod pump performance and production capacity analysis.
- Case study: Selecting the most suitable artificial lift intervention for a declining oil well.
Module 9: Gas Lift Nodal Analysis and Injection Optimization
- Gas lift well performance curves and operating point evaluation.
- Injection gas availability and allocation constraints.
- Effects of injection depth, pressure, and gas volume.
- Diagnosing inefficient injection and unstable production behavior.
- Case study: Optimizing gas lift allocation across a field with limited compression capacity.
Module 10: Water Production, Gas Handling, and Flow Assurance
- Impact of increasing water cut on well productivity and lifting costs.
- Gas–liquid ratio changes and their effect on multiphase flow.
- Assessment of liquid loading and unstable flow conditions.
- Integration of hydrate, scale, wax, and solids risks into production decisions.
- Case study: Evaluating a high-water-cut well with flowline pressure restrictions.
Module 11: Well Intervention and Stimulation Evaluation
- Nodal analysis for candidate selection and intervention planning.
- Evaluating the benefits of matrix stimulation and hydraulic fracturing.
- Assessing skin reduction and productivity improvement potential.
- Comparing intervention scenarios against baseline production forecasts.
- Case study: Estimating the production uplift and economic value of a stimulation campaign.
Module 12: Production Data Calibration and Model Validation
- Collection and quality control of pressure, rate, and fluid data.
- Calibration of IPR and VLP models using measured field performance.
- History matching and investigation of model discrepancies.
- Uncertainty assessment and validation of predicted operating points.
- Case study: Recalibrating a nodal model after a well test reveals significant prediction errors.
Module 13: Advanced Simulation and Digital Oilfield Applications
- Introduction to nodal analysis and production optimization software.
- Integration of well models with production network simulators.
- Use of automated surveillance and real-time production data.
- Predictive analytics and data-driven production diagnostics.
- Case study: Using updated operating data to identify optimization opportunities across a producing field.
Module 14: Production Economics and Optimization Decision-Making
- Estimation of incremental production and recovery potential.
- Capital expenditure and operating expenditure assessment.
- Net present value and payback period calculations for interventions.
- Ranking optimization opportunities by value, risk, and implementation feasibility.
- Case study: Prioritizing five candidate wells for a limited annual intervention budget.
Module 15: Integrated Production Optimization Capstone
- Building a complete nodal analysis model for a selected producing well.
- Integrating reservoir inflow, tubing performance, and surface constraints.
- Performing sensitivity analysis and evaluating alternative interventions.
- Developing production improvement recommendations and monitoring indicators.
- Case study: Preparing an integrated optimization plan for a mature oil field experiencing declining production and increasing water cut.
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.