ISC7

Organization and Analysis of Measurement While Drilling (MWD) Data in Montana, USA

  • Link, Curtis (Montana Technological University)
  • Barrick, David (Montana Technological University)
  • O'Meara, Dennis (Drill Data Maps)
  • Jaynes, Nick (Montana Department of Transportation)

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The Montana Department of Transportation (MDT) is currently evaluating MWD technology installed on their Central Mine Equipment (CME) 1050 ATV drill rig using hollow stem auger, casing advancer and coring methods. For the past three years, MDT has been collecting MWD data at a number of projects. The collected data include drilling depth, drilling rate, rotation speed, down pressure, torque, mast vibration, flow rate, and fluid pressure. MDT continues to collect MWD data with an attempt to also obtain accurate mechanical torque measurements from torque sensors installed on both the top of the drill string and on the rig drive shaft. Additional data collected include standard penetration test (SPT), vane shear test (VST), cone penetration test (CPT), pressuremeter test (PMT), and borehole shear test (BST) as well as geophysical data. These data have been collected at MDT project sites with proposed cuts, embankment fills, culverts, and bridge foundations. The primary focus of this effort is within intermediate geomaterials (IGM’s), which are prevalent throughout Montana and which exhibit strength properties for both a stiff soil and a soft rock, making strength interpretation, subsurface modeling and design a challenge. Collected MWD data have been assembled into a comprehensive online database for collaboration with the research team. The challenges for MWD technology include a combination of organizing large amounts of collected data and correlating these data to desired subsurface characteristics, such as subsurface soil and rock strength parameters. Preliminary results of MWD analysis have focused on calculating compound parameters including drilling energy and Somerton index which are used for correlation analysis to desired soil and rock strength parameters. Our results show that meaningful correlations are highly dependent on the quality of the MWD data. Specifically, we suggest that MWD data be acquired using a set of standard guidelines including training of drilling operators to follow those guidelines.