Experienced Geophysicist applies Machine Learning for Target Selection

Effective machine learning in geophysics demands deep domain expertise—which is why ClearView relies on Joe Mihelcic's four decades of experience in acquiring and interpreting diverse geophysical datasets.

Joe develops custom training models by integrating public and proprietary client data, utilizing algorithms specifically tailored to each dataset's unique characteristics.

His approach seamlessly incorporates complex geophysical phenomena, such as time-domain IP chargeability decay curves, alongside regional magnetic and gravity datasets to create comprehensive training models. With a programming background dating to high school, Joe combines custom-developed software with modern off-the-shelf modules, leveraging today's extensive library of algorithms to capture virtually any geophysical signature in the training data.

Ultimately, the machine learning process brings your data to life, revealing patterns and insights that conventional methods simply cannot detect.