Course Overview

Day-by-Day Outline

Day 1 – Fundamentals of MWD and LWD

• - Differences between MWD and LWD systems
• - Downhole telemetry methods (mud pulse, electromagnetic, wired pipe)
• - Basic components: directional sensors, gamma ray, resistivity tools
• - MWD tool physics and directional measurements
• - Exercise: Analyze directional survey data from MWD tools

Day 2 – Formation Evaluation with LWD Tools

• - Principles of LWD resistivity, density, neutron, and sonic tools
• - LWD spectral gamma ray measurements for lithology identification
• - Real-time porosity and density data interpretation
• - Depth matching and log corrections
• - Workshop: Interpret a multi-log LWD suite for lithology and fluid type

Day 3 – Advanced LWD Measurements and High-Angle Wells

• - Azimuthal resistivity, density, and gamma ray tools
• - Borehole images (OBI/ABI) for fractures and bedding dips
• - LWD tools for high-angle/horizontal wells
• - Challenges of tool placement and dogleg severity
• - Exercise: Plan tool BHA placement for a horizontal section

Day 4 – Data Acquisition, Transmission, and Quality Control

• - Data transmission rates and limitations
• - Real-time monitoring and data quality assurance
• - Noise sources and error identification in MWD/LWD data
• - Environmental corrections for LWD logs
• - Workshop: QC LWD logs for common acquisition issues

Day 5 – Integration, Applications & Case Studies

• - Integrating MWD/LWD data with wireline logs and seismic interpretation
• - Using MWD/LWD data in geosteering and well placement
• - Applications for pore pressure estimation and wellbore stability
• - Case studies of successful and problematic LWD/MWD deployments
• - Capstone Project: Interpret a complete MWD/LWD data set and prepare a petrophysical summary

Expected Learning Outcomes

•  Understand tool physics and measurement principles for MWD and LWD
•  Interpret real-time data for formation evaluation and lithology identification
•  Plan tool placement in complex wells (high-angle, horizontal)
•  Perform data quality control and identify measurement errors
•  Integrate MWD/LWD logs into petrophysical and reservoir analysis