Determination of mechanical properties of a geological formation using deep learning applied to data acquired while drilling

A non-transitory computer-readable storage medium storing instructions executable by a computer system, the instructions when executed by the computer system cause the computer system to:

• receive data acquired during drilling a geological formation;
• generate features of the data acquired during drilling, the features indicative of mechanical properties of the geological formation;
• segment the features of the data acquired during drilling into sequences readable by a trained temporal convolutional network (TCN);
• determine the mechanical properties of the geological formation using the TCN based on the sequences obtained from the features of the data;
• and
• generate, on a display device of the computer system, a graphical representation of the mechanical properties of the geological formation.

A computer system comprising:

• one or more computer processors;
• and
• a non-transitory computer-readable storage medium storing instructions executable by the one or more computer processors, the instructions when executed by the one or more computer processors cause the one or more computer processors to:
• receive data acquired during drilling a geological formation;
• generate features of the data acquired during drilling, the features indicative of mechanical properties of the geological formation;
• segment the features of the data acquired during drilling into sequences readable by a trained temporal convolutional network (TCN);
• determine the mechanical properties of the geological formation using the TCN based on the sequences obtained from the features of the data;
• and
• generate, on a display device of the computer system, a graphical representation of the mechanical properties of the geological formation.