Method for automating the applicability of job-related lessons learned

Abstract

A method of classifying job observations with metadata tags for retrieval from a database during the designing of a wellbore treatment. A machine learning process applies a set of metadata tags to the observation description and observation object based on a training set of job observations. The machine learning process validates the metadata tags based on a classification grade determined by the ranking of the job observation within a search result. A managing application can modify a job design comprising an inventory of wellbore treatment materials and pumping equipment based on job observations with metadata tags that match the metadata tags of the job design.