Abstract: Systems and methods for automated filtering and normalization of logging data for improved drilling performance may enable smoothing and amplitude scaling of log data for meaningful comparison and analysis without scaling artefacts. The logging data may be collected from downhole sensors or may be recorded by a control system used for drilling. A computer implemented method may enable industrial scale automated filtering and normalization of logging data, including calibration to a known standard. In particular, the filtering and normalization may be used for stratigraphic analysis to correlate true vertical depth to measured depth along a wellbore.

Abstract: Systems and methods for automated filtering and normalization of logging data for improved drilling performance may enable smoothing and amplitude scaling of log data for meaningful comparison and analysis without scaling artefacts. The logging data may be collected from downhole sensors or may be recorded by a control system used for drilling. A computer implemented method may enable industrial scale automated filtering and normalization of logging data, including calibration to a known standard. In particular, the filtering and normalization may be used for stratigraphic analysis to correlate true vertical depth to measured depth along a wellbore.

Abstract: Systems and methods for automated filtering and normalization of logging data for improved drilling performance may enable smoothing and amplitude scaling of log data for meaningful comparison and analysis without scaling artefacts. The logging data may be collected from downhole sensors or may be recorded by a control system used for drilling. A computer implemented method may enable industrial scale automated filtering and normalization of logging data, including calibration to a known standard. In particular, the filtering and normalization may be used for stratigraphic analysis to correlate true vertical depth to measured depth along a wellbore.