Measurement while core drilling based on a small-scale drilling platform: Mechanical and energy analysis

Normalizing Large Scale Sensor-Based MWD Data: An Automated Method toward A Unified Database

“…This process is commonly used to remove variations in the data caused by differences in rig type, drilling conditions, and other factors, allowing for more accurate analysis and interpretation of the data. Accuracy improvement, providing comparable conditions, sensitivity analysis, and more visualized insights are some of the potential benefits of normalizing MWD data (e.g., [ 4 , 10 , 35 ]). The result of depth-based normalization for single and peer group holes in terms of raw records (black dots), normalized data after removing the hole depth dependency (green dots), and adopted regressions of each MWD parameter for each rod length (red lines) are presented in Figure 8 and Figure 9 .…”

“…Since the MWD parameters have different units of measurement, then the normalization aims to obtain comparable scales of criteria values. The MWD data can be normalized using different methods via various parameters like depth normalizing [ 4 , 10 ], time normalizing [ 41 , 42 , 43 ], lithology normalizing [ 35 ], mud weight normalizing [ 44 ], tool normalizing [ 45 , 46 ], environmental normalizing [ 4 , 14 , 47 ], and statistical normalizing [ 48 , 49 ].…”

“…Sensors 2024, 24, x FOR PEER REVIEW automated nested loops to executed filtering and no caused by rod length, too Normalizing is the p condition to eliminate th equipment, and other fac different units of measure of criteria values. The MW parameters like depth nor [35], mud weight normal [4,14,47], and statistical no…”