Machine learning-assisted full-band inversion for borehole sensing

A non-transitory computer-readable storage medium having embodied thereon instructions that when executed by one or more processor result in the one or more processors:

• accessing wellbore measurement data;
• identifying by a machine learning process data that corresponds to the wellbore measurement data;
• implementing a function that constrains the machine learning process data when mapping the constrained machine learning process data to the wellbore measurement data;
• comparing the constrained machine learning process data to the wellbore measurement data;
• and
• identifying based on the comparison that the wellbore measurement data corresponds to the constrained machine learning process data based on an error being less than an error threshold.

An apparatus comprising:

• a memory;
• and
• one or more processors that execute instructions out of the memory to:
• access wellbore measurement data;
• identify by a machine learning process data that corresponds to the wellbore measurement data,
• implement a function that constrains the machine learning process data when mapping the constrained machine learning process data to the wellbore measurement data,
• compare the constrained machine learning process data to the wellbore measurement data, and
• identify based on the comparison that the wellbore measurement data corresponds to the constrained machine learning process data based on an error being less than an error threshold.