Specifics of MWD Data Collection and Verification during Formation of Training Datasets

This paper presents a structured analysis in the area of measurement while drilling (MWD) data processing and verification methods, as well describes main nuances certain specifics “clean” selection order to build “parent” training database for subsequent use machine learning algorithms. The purpose authors is create trainable algorithm, which, based on available input associated with specific conditions, could correlate, process select parameters obtained from rig them further estimation various rock characteristics, prediction optimal blasting parameters, results. continuation series publications devoted prospects using MWD technology quality management operations at mining enterprises.