Field operations framework

A system comprising:

• one or more processors;
• memory accessible to at least one of the one or more processors;
• processor-executable instructions stored in the memory and executable to instruct the system to:
• receive log data for different types of logs;
• identify a portion of the log data that corresponds to a type of formation;
• define combinations of the portion of the log data that correspond to the type of formation;
• implement a machine learning model that generates scores for the combinations, wherein each of the scores indicates an ability of each of the combinations to predict one or more target logs therein as selected from the different types of logs;
• and
• output, based on a ranking of the scores, at least a top ranked one of the combinations that corresponds to the type of formation.

One or more computer-readable storage media comprising processor-executable instructions to instruct a computing system to:

• receive log data for different types of logs;
• identify a portion of the log data that corresponds to a type of formation;
• define combinations of the portion of the log data that correspond to the type of formation;
• implement a machine learning model that generates scores for the combinations, wherein each of the scores indicates an ability of each of the combinations to predict one or more target logs therein as selected from the different types of logs;
• and
• output, based on a ranking of the scores, at least a top ranked one of the combinations that corresponds to the type of formation.