Troubleshooting – Well Testing Artificial Lift

When an artificially lifted well underperforms, the cause may lie in the reservoir, the lift system, the completion or the surface facilities, and well test data is often the first evidence available. This programme develops a systematic troubleshooting approach for electrical submersible pumps, gas lift, rod pumps and progressing cavity pumps, combining production tests, inflow performance, nodal analysis and lift-specific diagnostics such as ESP amp charts, dynamometer cards and gas lift pressure surveys to locate problems and select corrective actions.

الحصول على الكتيب

للحصول على كتيب بكامل محتويات الدورة برجاء ملء النموذج التالي ببياناتك الصحيحة

تحميل الكتيب

دورات مشابهة
النفط والغاز
أبريل
، 2027
الإنجليزية
أبو ظبي
$3,600.00
النفط والغاز
أبريل
، 2027
الإنجليزية
الرياض
$3,600.00
النفط والغاز
فبراير
، 2027
الإنجليزية
دبي
$3,600.00
NEVADA | PROFESSIONAL EXPERIENCE

Program Professional Framework

Troubleshooting – Well Testing Artificial Lift

Program Overview

When an artificially lifted well underperforms, the cause may lie in the reservoir, the lift system, the completion or the surface facilities, and well test data is often the first evidence available. This programme develops a systematic troubleshooting approach for electrical submersible pumps, gas lift, rod pumps and progressing cavity pumps, combining production tests, inflow performance, nodal analysis and lift-specific diagnostics such as ESP amp charts, dynamometer cards and gas lift pressure surveys to locate problems and select corrective actions.

Learning Outcomes

  • ✓Validate a production well test and identify unreliable test results before using them for diagnosis.
  • ✓Construct inflow and outflow curves and use nodal analysis to separate reservoir and lift limitations.
  • ✓Diagnose ESP problems from amp charts, intake pressure and motor temperature trends.
  • ✓Interpret gas lift pressure and temperature surveys to identify multipointing, valve failure or insufficient injection.
  • ✓Analyse dynamometer cards to detect fluid pound, gas interference and rod or pump failures.
  • ✓Recommend corrective actions ranked by production gain, cost and intervention risk.

Target Audience

  • Production and petroleum engineers
  • Artificial lift specialists and field optimisation engineers
  • Well testing supervisors and production operators
  • Well surveillance and production technology teams

Detailed Program Modules

01Structured Troubleshooting Approach
  • Defining the performance gap
  • Reservoir, completion, lift and surface causes
  • Data gathering and prioritisation of wells
02Well Test Quality and Interpretation
  • Test separators and multiphase flow meters
  • Stabilisation, test duration and validation checks
  • Water cut, GOR and productivity index trends
03Inflow and Nodal Analysis
  • IPR models for oil wells
  • Tubing performance and multiphase flow
  • Matching models to test data
04ESP and PCP Diagnostics
  • Amp chart patterns and their meaning
  • Downhole sensor data and VSD settings
  • Gas locking, scaling and sand problems
05Gas Lift and Rod Pump Diagnostics
  • Unloading design checks and injection optimisation
  • Flowing pressure and temperature surveys
  • Dynamometer card interpretation
06Corrective Actions and Surveillance
  • Intervention options and economic ranking
  • Exception-based surveillance and alarms
  • Documenting failures and lessons learned

Training Methodology

Interactive expert-led sessions grounded in workplace examples
Case studies and practical exercises drawn from the region
Group workshops with peer review of decisions and deliverables
Formative feedback against clear performance criteria

Applied Project & Assessment

Applied Project

Participants diagnose a set of underperforming wells using supplied test data, amp charts, dynamometer cards and gas lift surveys, then present for each well the root cause, the supporting evidence and a ranked corrective action plan with expected production gain.

Assessment

Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.