Recognizing the importance of borehole images and their applications in the oil industry, this course is designed to cover the complete workflow of borehole image data processing, quality control (QC), and comprehensive interpretation. High-quality borehole image analysis can be calibrated to validate and refine petrophysical parameters. It also assists in selecting optimal intervals for sampling and serves as a fundamental input for geomechanical modeling related to drilling optimization, reservoir simulation, and wellbore stability analysis. The objective of this course is to provide participants with strong competency in borehole image interpretation techniques and geological feature recognition. Raw borehole image data are used throughout the course. Participants are guided step by step through the full interpretation and QC process, including reviewing and validating essential log curves, identifying geological features, manually picking features, characterizing fractures, determining stress orientation, performing structural dip analysis, conducting sedimentological interpretation, and understanding the applications of borehole images in petrophysics and geomechanics. Case studies and practical exercises are integrated throughout the course to ensure hands-on learning and practical understanding.