Wireline and LWD Log Quality Control and its Impact on Interpretation
This workshop provides an in-depth understanding of wireline and LWD log quality control and its critical role in accurate formation evaluation. Participants will learn how to identify, assess, and correct data quality issues that directly influence interpretation reliability and reservoir characterization.
Workshop Objectives
• Understand key principles of wireline and LWD log quality control.
• Identify common sources of logging errors and their impact on data interpretation.
• Learn practical methods for validating and correcting log data.
• Evaluate how quality control affects formation evaluation and reservoir assessment.
About the Presenter
The workshop is conducted by a professional with experience in well logging, petrophysical interpretation, and reservoir evaluation. The presenter has a proven background in applying quality control practices to ensure accurate and reliable subsurface data analysis across various operational environments.
Applied Machine Learning for Upstream and Subsurface Domains
This two-day hands-on workshop is designed for petroleum and subsurface professionals seeking practical skills in machine learning for upstream oil & gas operations. The program teaches participants how to apply machine learning to uncover patterns in production and reservoir data, discover equations from historical relationships, and build predictive models for vital engineering parameters. Real-world datasets from drilling and subsurface domains are used, focusing on automating reports, visualizing data, and interpreting model outputs for improved decision-making.