Stage 1: Data Prep and Cleanup

• Curve Aliasing and Mnemonics

  Why curve names vary between vendors, eras and tools, how to map them to one set of curve families, how to choose among duplicates, and how to depth-match and splice runs into continuous curves.

• Log Curve Cleanup

  The cleanup steps that make raw curves usable: unit detection and conversion, null values, depth and sampling checks, spike removal, and choosing the right neutron correction, with the order to apply them in.

• Curve Normalization

  Why curves from different wells are put on a common scale, how to choose a key well and reference interval, and how to select, apply and check shift, scale, fixed-range and resistivity normalizations.

• Washout Identification and Repair

  How to find intervals where the borehole has damaged the logs, how to protect real coal and salt, and how to decide between nulling and repairing the damaged data by regression or machine-learning infill.