Artificial Lift Selection and Field Optimization Training Course

Artificial Lift Selection and Field Optimization Training Course

Introduction

Artificial Lift Selection and Field Optimization Training Course is designed to equip oil and gas professionals with the technical knowledge and practical skills required to select, evaluate, optimize, and manage artificial lift systems across diverse petroleum production environments. Participants will learn how to assess reservoir conditions, well productivity, fluid characteristics, production targets, operating costs, and field infrastructure requirements to identify the most appropriate artificial lift solution for individual wells and entire production fields.

Participants will explore methods for identifying production bottlenecks, diagnosing lift system failures, reducing energy consumption, minimizing unplanned downtime, and improving well performance through systematic engineering analysis. The program also addresses life-cycle cost analysis, equipment reliability, production forecasting, risk assessment, and field-wide optimization strategies. By completing this training, participants will be better prepared to make technically sound artificial lift selection decisions, improve production economics, enhance equipment reliability, and support the digital transformation of upstream oil and gas operations.

Course Duration

5 Days

Course Objectives

1. Evaluate artificial lift technologies and determine their suitability for different reservoir conditions, well configurations, and production requirements.
2. Analyze reservoir pressure, inflow performance, fluid properties, and well productivity to support effective artificial lift selection.
3. Apply nodal analysis and production system modeling to optimize well inflow, outflow, and operating conditions.
4. Compare ESP, gas lift, rod pumping, PCP, hydraulic pumping, and plunger lift technologies using technical and economic criteria.
5. Perform artificial lift screening and feasibility assessments for new wells, mature fields, and marginal assets.
6. Optimize Electric Submersible Pump performance through appropriate pump sizing, frequency adjustments, and operating envelope analysis.
7. Improve gas lift efficiency through injection rate optimization, gas allocation, valve performance evaluation, and injection pressure management.
8. Diagnose artificial lift failures using production surveillance, operating data, failure analysis, and equipment condition monitoring.
9. Apply predictive maintenance and condition-based monitoring to reduce equipment downtime and improve system reliability.
10. Use production data analytics and digital oilfield tools to identify performance gaps and prioritize optimization opportunities.
11. Evaluate artificial lift operating costs, energy efficiency, equipment life-cycle costs, and return on investment.
12. Develop field-wide artificial lift optimization strategies that balance production targets, operational constraints, reliability, and economic performance.
13. Formulate practical artificial lift improvement plans incorporating production optimization, asset integrity, operational risk management, and continuous performance improvement.

Target Audience

This training course is designed for:

1. Petroleum production engineers responsible for well performance and artificial lift operations.
2. Artificial lift engineers involved in system selection, design, installation, and optimization.
3. Reservoir engineers evaluating production strategies and reservoir depletion performance.
4. Well intervention and well services engineers supporting artificial lift installation and maintenance.
5. Field operations supervisors and production technologists managing daily well operations.
6. Reliability, maintenance, and equipment engineers responsible for pump and lift system performance.
7. Oilfield consultants and technical specialists supporting production enhancement projects.
8. Oil and gas asset managers, operations managers, and technical professionals involved in production planning and cost optimization.

Course Modules

Module 1: Fundamentals of Artificial Lift Systems

• Principles of natural flow, reservoir depletion, and artificial lift requirements.
• Relationship between reservoir pressure, well productivity, and production decline.
• Overview of ESP, gas lift, rod pumping, PCP, hydraulic pumping, and plunger lift systems.
• Evaluation of well conditions, fluid properties, sand production, gas handling, and water cut.
• Artificial lift screening criteria, operational limitations, and technology selection frameworks.
• Case Study: Evaluating an aging oilfield with declining reservoir pressure to determine which wells require artificial lift installation and which existing systems require redesign.

Module 2: Reservoir and Well Performance Evaluation

• Analysis of inflow performance relationships and productivity indices.
• Application of nodal analysis to identify production bottlenecks.
• Evaluation of pressure losses across the reservoir, wellbore, tubing, and surface facilities.
• Assessment of multiphase flow, fluid viscosity, gas-to-oil ratio, and water cut.
• Integration of reservoir models, well test results, and production history into lift selection decisions.
• Case Study: Assessing two wells in the same field with different productivity indices and water cuts to identify the most suitable artificial lift configurations.

Module 3: Artificial Lift Technology Selection and Design

• Technical comparison of ESP, gas lift, rod pumping, PCP, hydraulic pumping, and plunger lift.
• Application of selection matrices based on depth, production rate, deviation, and fluid characteristics.
• Evaluation of equipment sizing, operating envelopes, and installation requirements.
• Assessment of completion design, power availability, gas supply, and surface infrastructure.
• Selection of lift technologies based on reliability, maintainability, environmental conditions, and cost.
• Case Study: Selecting an artificial lift system for a high-water-cut mature oilfield with limited electrical infrastructure and varying well productivity.

Module 4: Electric Submersible Pump Selection and Optimization

• Fundamentals of ESP components, operating principles, and performance characteristics.
• Pump sizing using expected production rates, fluid properties, and total dynamic head.
• Interpretation of pump performance curves and operating envelopes.
• Optimization of variable speed drives, motor loading, intake pressure, and frequency settings.
• Diagnosis of gas interference, pump wear, electrical failures, and operating instability.
• Case Study: Optimizing ESP operations across a group of wells experiencing frequent trips, excessive energy consumption, and production losses.

Module 5: Gas Lift Design and Field Optimization

• Principles of continuous and intermittent gas lift operations.
• Gas lift valve selection, injection depth, and injection pressure considerations.
• Evaluation of gas injection rates and their effects on production performance.
• Gas allocation optimization across wells with competing injection requirements.
• Troubleshooting unstable injection, injection restrictions, and inefficient gas utilization.
• Case Study: Improving production from a gas-lifted field by reallocating limited injection gas among wells according to their incremental production response.

Module 6: Rod Pumping, Progressive Cavity Pumps, and Alternative Lift Systems

• Operating principles and applications of sucker rod pumping systems.
• PCP selection for viscous fluids, heavy oil, and challenging production conditions.
• Hydraulic pumping and plunger lift applications in suitable well environments.
• Evaluation of pump displacement, torque, rod loads, stroke settings, and operating speed.
• Identification of mechanical wear, gas locking, rod failures, and solids-related performance problems.
• Case Study: Comparing rod pumping and PCP alternatives for a heavy-oil well producing fluid with elevated viscosity and intermittent solids production.

Module 7: Artificial Lift Surveillance, Reliability, and Digital Optimization

• Development of artificial lift key performance indicators and production surveillance dashboards.
• Interpretation of pressure, temperature, vibration, current, and flow-rate data.
• Application of predictive maintenance, anomaly detection, and failure pattern analysis.
• Use of digital oilfield platforms, remote monitoring, and automated operating alerts.
• Integration of production analytics and artificial intelligence into lift optimization workflows.
• Case Study: Using historical operating data to identify early warning signs of ESP degradation and develop a maintenance intervention plan before a major production disruption.

Module 8: Field-Wide Optimization, Economics, and Implementation

• Development of field-wide artificial lift optimization strategies and well prioritization frameworks.
• Evaluation of capital expenditure, operating expenditure, energy costs, and life-cycle economics.
• Application of production forecasting, sensitivity analysis, and economic evaluation.
• Assessment of operational risks, intervention planning, equipment availability, and HSE requirements.
• Preparation of artificial lift improvement plans with measurable production and reliability targets.
• Case Study: Developing an optimization roadmap for a mature oilfield by ranking wells according to production potential, intervention cost, system reliability, and expected economic returns.

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.