Predicting formation frackability using surface logging data

A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:

• accessing surface logging data of a well being drilled for fracking, the surface logging data being converted into a table comprising rows and columns;
• performing quality control (QC) and quality assurance (QA) on the surface logging data;
• performing drift analysis on the surface logging data to ensure probability distribution of the surface logging data to be within a predetermined value;
• verifying a terminology consistency across the rows and columns of the table to identify inconsistent values associated with drilling parameters and mud logs;
• filtering the inconsistent values from the table to generate prepared surface logging data;
• generating, based on processing the prepared surface logging data using a predictive model, a visualization formatted as a depth chart and comprising information provided for different drilling depths displayed as a plurality of stages coded to indicate a probability of frackability in a track with other log tracks;
• determining frackability probabilities for fracking intervals relative to the different drilling depths;
• and
• updating wellbore operations to adjust settings of a downhole equipment according to the fracking intervals.

A computer-implemented system, comprising:

• one or more processors;
• and
• a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instructing the one or more processors to perform operations comprising:
• accessing surface logging data of a well being drilled for fracking, the surface logging data being converted into a table comprising rows and columns;
• performing quality control (QC) and quality assurance (QA) on the surface logging data;
• performing drift analysis on the surface logging data to ensure probability distribution of the surface logging data to be within a predetermined value;
• verifying a terminology consistency across the rows and columns of the table to identify inconsistent values associated with drilling parameters and mud logs;
• filtering the inconsistent values from the table to generate prepared surface logging data;
• generating, based on processing the prepared surface logging data using a predictive model, a visualization formatted as a depth chart and comprising information provided for different drilling depths displayed as a plurality of stages coded to indicate a probability of frackability in a track with other log tracks;
• determining frackability probabilities for fracking intervals relative to the different drilling depths;
• and
• updating wellbore operations to adjust settings of a downhole equipment according to the fracking intervals.