A smart look at monitoring while drilling (MWD) and optimizing using acoustic emission technique (AET)

M Khoshouei, R Bagherpour, M Yari - Scientific Reports, 2024 - nature.com
Monitoring while drilling (MWD) is a crucial task in mining operations. Accurately measuring
drill and rock-related operating parameters can significantly reduce the cost of drilling …

[HTML][HTML] Experimental Study on Drilling Signal Characteristics of PDC Drill Bit in Media of Different Strengths and Identification of Weak Media

Z Wu, Y Fan, H Chen - Sensors, 2024 - mdpi.com
This study aimed to investigate the drilling signal characteristics when a PDC drill bit
penetrates media of different strengths and to assess the potential of these signals for …

In-Depth Steel Crack Analysis Using Photoacoustic Imaging (PAI) with Machine Learning-Based Image Processing Techniques and Evaluating PAI-Based Internal …

A Akbar, JY Lee, JH Kim, MY Jeong - Applied Sciences, 2023 - mdpi.com
Steel plays an indispensable role in our daily lives, permeating various products ranging
from essential commodities and recreational gears to information technology devices and …

Classification of Rock Types Using Machine Learning

MB Efrata, W Spalanzani… - Jurnal Jaring …, 2024 - ejurnal.ubharajaya.ac.id
Determining the petrophysical rock type often excludes measured multiphase flow
properties, such as relative permeability curves. This is due to limitations in SCAL …