Well Workover Planning and Optimization Training Course

Oil and Gas

Well Workover Planning and Optimization Training Course is designed to equip oil and gas professionals with the technical knowledge and practical skills required to plan, execute, and optimize well workover operations.

Course Overview

Well Workover Planning and Optimization Training Course

Introduction

Well Workover Planning and Optimization Training Course is designed to equip oil and gas professionals with the technical knowledge and practical skills required to plan, execute, and optimize well workover operations. Well workover interventions play a critical role in restoring production, improving well integrity, resolving mechanical failures, managing reservoir-related challenges, and extending the productive life of oil and gas assets. This course explores advanced well workover engineering, well intervention planning, production optimization, well integrity management, artificial lift troubleshooting, cost estimation, and risk-based decision-making. Participants will gain insights into workover candidate selection, well performance diagnostics, intervention feasibility studies, equipment selection, completion repair strategies, and operational readiness assessment. Emphasis is placed on integrating production data, reservoir conditions, well history, and operational constraints to develop technically sound and economically viable workover programmes.

Participants will learn how to evaluate alternative intervention methods, develop detailed workover programmes, estimate production gains, optimize rig time, and minimize non-productive time while maintaining stringent health, safety, security, and environmental standards. Through practical exercises, engineering simulations, group discussions, and industry-based case studies, delegates will examine challenges such as failed artificial lift systems, damaged tubing, sand production, declining well productivity, water breakthrough, and compromised well integrity. The course provides a structured framework for improving workover success rates, maximizing return on investment, reducing operational expenditure, and supporting data-driven well intervention decisions and sustainable asset performance across onshore and offshore oil and gas operations.

Course Duration

5 days

Course Objectives

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

  1. Develop integrated workover plans aligned with production targets, reservoir objectives, and asset management strategies.
  2. Identify and rank workover candidates using production diagnostics, well history, and economic screening.
  3. Apply advanced well performance analysis to identify production constraints and intervention opportunities.
  4. Evaluate workover alternatives using technical feasibility, risk assessment, and lifecycle cost analysis.
  5. Design comprehensive workover programmes covering equipment, personnel, logistics, and operational sequences.
  6. Optimize rig selection, rig scheduling, equipment utilization, and intervention execution time.
  7. Apply well integrity management principles to evaluate barriers, pressure containment, and operational readiness.
  8. Diagnose tubing failures, casing leaks, completion damage, and artificial lift system malfunctions.
  9. Integrate production forecasting and reservoir surveillance into workover decision-making.
  10. Conduct workover cost estimation, budget forecasting, and return on investment (ROI) analysis.
  11. Implement risk-based planning, hazard identification, emergency preparedness, and operational safety controls.
  12. Use digital analytics, performance dashboards, and data-driven techniques to improve workover efficiency.
  13. Establish post-workover evaluation systems to measure production uplift, cost performance, and long-term intervention success.

Target Audience

  1. Petroleum and production engineers.
  2. Well intervention and workover engineers.
  3. Drilling and completion engineers.
  4. Reservoir engineers and reservoir management specialists.
  5. Well integrity and well services engineers.
  6. Workover supervisors, rig managers, and field operations personnel.
  7. Asset managers, production managers, and operations coordinators.
  8. Oilfield project managers, technical consultants, and cost-control specialists.

Course Modules

Module 1: Fundamentals of Well Workover Planning

  • Principles, objectives, and classifications of well workover operations.
  • Differences between workovers, well servicing, and conventional well interventions.
  • Review of well completion designs, production history, and previous interventions.
  • Identification of production losses, mechanical failures, and reservoir-related problems.
  • Case study: Developing a preliminary workover strategy for a mature oil well experiencing declining production.

Module 2: Workover Candidate Selection and Well Diagnostics

  • Evaluation of production trends, pressure data, and well testing results.
  • Identification of mechanical restrictions, formation damage, and completion failures.
  • Application of nodal analysis and production surveillance techniques.
  • Workover candidate ranking using technical feasibility and economic potential.
  • Case study: Prioritizing ten underperforming wells using production data, intervention costs, and expected recovery.

Module 3: Workover Programme Design and Engineering

  • Preparation of detailed workover programmes and operational procedures.
  • Selection of workover methods, completion repair techniques, and intervention equipment.
  • Tubing retrieval, replacement, fishing, and downhole equipment recovery planning.
  • Evaluation of coiled tubing, wireline, hydraulic workover, and rig-based options.
  • Case study: Designing a workover programme to replace failed production tubing and restore well flow.

Module 4: Well Integrity, Barrier Management, and Risk Assessment

  • Well barrier philosophy and verification requirements during workovers.
  • Assessment of casing integrity, tubing leaks, packer failures, and pressure anomalies.
  • Pressure control equipment selection and well control contingency planning.
  • Hazard identification, job safety analysis, and operational risk mitigation.
  • Case study: Managing a suspected tubing leak in a high-pressure gas well while maintaining barrier integrity.

Module 5: Artificial Lift Troubleshooting and Production Restoration

  • Diagnosis of electric submersible pump (ESP), gas lift, and rod pump failures.
  • Evaluation of pump performance, gas interference, and artificial lift operating limits.
  • Selection of repair, replacement, and optimization strategies for lift systems.
  • Integration of production logging and downhole diagnostics into intervention planning.
  • Case study: Evaluating ESP replacement against alternative production recovery options in a declining oil well.

Module 6: Workover Cost Estimation and Economic Optimization

  • Development of workover budgets, cost breakdowns, and resource estimates.
  • Estimation of rig time, service costs, equipment expenses, and contingency allowances.
  • Application of cost-benefit analysis, net present value (NPV), and return on investment.
  • Evaluation of intervention alternatives based on production uplift and economic risk.
  • Case study: Comparing two workover options for a mature field using expected production gains, operating costs, and payback period.

Module 7: Workover Execution, Scheduling, and Operational Efficiency

  • Development of workover schedules, activity sequences, and resource allocation plans.
  • Rig selection, contractor coordination, materials management, and logistics planning.
  • Reduction of non-productive time through operational readiness and contingency planning.
  • Monitoring key performance indicators (KPIs), including rig time, cost variance, and operational efficiency.
  • Case study: Investigating workover delays caused by equipment shortages and developing a revised execution plan.

Module 8: Digital Workover Optimization and Post-Workover Evaluation

  • Application of digital well records, production dashboards, and integrated data analytics.
  • Use of predictive maintenance and failure trend analysis to improve intervention decisions.
  • Development of production recovery forecasts and post-workover monitoring plans.
  • Evaluation of actual versus planned costs, production uplift, and intervention effectiveness.
  • Case study: Assessing the results of a completed workover using production data, actual expenditure, and downtime reduction metrics.

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.

Course Information

Duration: 5 days

Related Courses

HomeCategoriesSkillsLocations