15 Topics
5 Days
76 Sessions
Programme Overview
Training Description
Production Engineers
Well Intervention Specialists
Reservoir Management Professionals
Petrophysicists
Well Log Analysts
Operations Engineers
Field Supervisors
Session Objectives
- Understand the fundamentals of cased hole log interpretation. Master production logging and flow profiling techniques. Utilize pulsed neutron capture (PNC) logs for reservoir monitoring. Implement cement bond logging (CBL) for well integrity assessment. Design and build robust well intervention planning workflows. Optimize log interpretation using advanced software and algorithms. Troubleshoot and address common challenges in cased hole log analysis. Implement log data quality control and assurance.
About the Course
Operating in mature or complex production environments requires continuous diagnostics to monitor fluid movement, evaluate barrier performance, and prevent unexpected downhole failures. Our Cased Hole Log Interpretation Training Course addresses these technical challenges by equipping subsurface and production professionals with advanced skills in processing and analyzing cased hole logging data. Guided by petrophysical and well integrity specialists, participants examine the core mechanics of production logging tools (PLT), pulsed neutron capture (PNC) logs, and cement bond logging (CBL/VDL) suites. By combining petrophysical theory with hands-on evaluation techniques, this program prepares engineers to diagnose fluid dynamics, verify zonal isolation, plan targeted well interventions, and optimize overall hydrocarbon recovery throughout the well lifecycle.
Curriculum & Topics
15 Topics | 76 Sessions
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Workshop 1.1:
Fundamentals of cased hole log interpretation.
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Workshop 1.2:
Overview of common cased hole logging tools and measurements.
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Workshop 1.3:
Setting up a cased hole log interpretation workflow.
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Workshop 1.4:
Introduction to cased hole log interpretation software and tools.
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Workshop 1.5:
Best practices for cased hole log interpretation.
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Workshop 2.1:
Mastering production logging and flow profiling techniques.
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Workshop 2.2:
Utilizing temperature, pressure, and flow rate logs.
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Workshop 2.3:
Implementing fluid identification and holdup analysis.
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Workshop 2.4:
Designing and building production logging interpretation models.
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Workshop 2.5:
Best practices for production logging.
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Workshop 3.1:
Utilizing pulsed neutron capture (PNC) logs for reservoir monitoring.
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Workshop 3.2:
Implementing water saturation and fluid movement analysis.
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Workshop 3.3:
Utilizing sigma and capture cross-section measurements.
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Workshop 3.4:
Designing and building PNC interpretation workflows.
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Workshop 3.5:
Best practices for PNC log interpretation.
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Workshop 4.1:
Implementing cement bond logging (CBL) for well integrity assessment.
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Workshop 4.2:
Utilizing amplitude and travel time measurements.
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Workshop 4.3:
Implementing bond index and micro-annulus evaluation.
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Workshop 4.4:
Designing and building CBL interpretation models.
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Workshop 4.5:
Best practices for CBL interpretation.
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Workshop 5.1:
Designing and build robust well intervention planning workflows.
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Workshop 5.2:
Utilizing cased hole logs for intervention design.
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Workshop 5.3:
Implementing diagnostic analysis and remedial planning.
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Workshop 5.4:
Designing and building intervention simulation models.
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Workshop 5.5:
Best practices for intervention planning.
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Workshop 6.1:
Optimizing log interpretation using advanced software and algorithms.
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Workshop 6.2:
Utilizing cased hole log interpretation software.
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Workshop 6.3:
Implementing machine learning and AI for production analysis.
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Workshop 6.4:
Designing and building custom log analysis scripts.
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Workshop 6.5:
Best practices for software applications.
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Workshop 7.1:
Troubleshooting and addressing common challenges in cased hole log analysis.
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Workshop 7.2:
Analyzing log data anomalies and inconsistencies.
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Workshop 7.3:
Utilizing problem-solving techniques for resolution.
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Workshop 7.4:
Resolving common log interpretation errors.
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Workshop 7.5:
Best practices for troubleshooting.
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Workshop 8.1:
Implementing log data quality control and assurance.
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Workshop 8.2:
Utilizing log calibration and validation techniques.
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Workshop 8.3:
Implementing data quality metrics and reporting.
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Workshop 8.4:
Designing and building data quality management systems.
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Workshop 8.5:
Best practices for data quality control.
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Workshop 9.1:
Integrating cased hole log interpretation with production data.
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Workshop 9.2:
Utilizing production history and well test data.
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Workshop 9.3:
Implementing integrated reservoir performance analysis.
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Workshop 9.4:
Designing and building integrated production models.
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Workshop 9.5:
Best practices for data integration.
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Workshop 10.1:
Understanding how to manage large-scale cased hole log interpretation projects.
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Workshop 10.2:
Utilizing project management tools and techniques.
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Workshop 10.3:
Implementing program evaluation and reporting.
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Workshop 10.4:
Designing scalable log interpretation solutions.
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Workshop 10.5:
Best practices for project management.
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Workshop 11.1:
Exploring advanced cased hole log applications (machine learning, AI for production analysis).
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Workshop 11.2:
Utilizing machine learning for production forecasting.
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Workshop 11.3:
Implementing AI for automated log interpretation.
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Workshop 11.4:
Designing and building advanced log analysis systems.
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Workshop 11.5:
Optimizing advanced applications for specific use cases.
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Workshop 11.6:
Best practices for advanced applications.
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Workshop 12.1:
Applying real world use cases for cased hole log interpretation in various production scenarios.
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Workshop 12.2:
Utilizing production logging for water breakthrough analysis.
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Workshop 12.3:
Implementing PNC logs for bypassed pay identification.
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Workshop 12.4:
Utilizing CBL for well integrity assessment in mature fields.
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Workshop 12.5:
Implementing log interpretation for stimulation planning.
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Workshop 12.6:
Best practices for real-world applications.
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Workshop 13.1:
Leveraging cased hole log interpretation tools and frameworks for efficient analysis.
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Workshop 13.2:
Utilizing industry-standard production logging software.
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Workshop 13.3:
Implementing data visualization and reporting tools.
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Workshop 13.4:
Designing and building automated log analysis workflows.
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Workshop 13.5:
Best practices for tool implementation.
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Workshop 14.1:
Implementing cased hole log interpretation monitoring and metrics.
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Workshop 14.2:
Utilizing interpretation accuracy metrics and performance indicators.
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Workshop 14.3:
Designing and building monitoring systems for log interpretation projects.
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Workshop 14.4:
Optimizing monitoring for real-time insights.
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Workshop 14.5:
Best practices for monitoring.
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Workshop 15.1:
Emerging trends in cased hole log interpretation technologies and applications.
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Workshop 15.2:
Utilizing cloud-based log data management and analysis.
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Workshop 15.3:
Implementing advanced visualization and virtual reality tools.
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Workshop 15.4:
Best practices for future log interpretation.
