Lodestar International

Our Approach

In the current fast-paced drilling operations environment, the ability to measure and evaluate downhole dysfunctions are critical in reducing drilling mechanics failures, which account for approximately 75% of non-productive time (NPT)1. Historically, surface parameters have been used to limit these failures and optimize drilling operations; however, the use of surface data has been proven to be ineffective for the following reasons:

  • Relying on surface data is inaccurate due to possible human error and the lack of consistent sensor calibration. A recent study conducted by Pason on 40 onshore wells indicated that 86% of the time, WOB sensors were either zeroed incorrectly or not zeroed at all2.
  • Analysis of surface data does not take into account the downhole response of the BHA to drilling parameters. Optimizing surface WOB and RPM to yield higher ROP without knowing the downhole consequences can lead to unplanned trips, DBR tools, and damage to the wellbore.
  • The majority of downhole parameters used for analyzing and optimizing drilling performance with surface data are calculated and not measured. KPIs like stick-slip and Mechanical Specific Energy (MSE) calculated from surface data impractically assume 100% efficiency in the entire drilling system, from the top drive to the bit.

Lodestar’s DWD technology offers a more comprehensive solution to optimizing drilling operations by providing actual, accurate downhole dynamics data without using surface data-based calculations and with less reliance on human input. Utilizing our I-STRING together with our at-bit I-SUB allows us to collect continuous measurements throughout the drill string from the bit to the surface, facilitating data-driven, physics based solutions that help our customers to determine the root cause of failures, avoid future failures, and define ideal drilling parameters that ultimately reduce NPT and increase efficiency.

Learn more about our DWD Technology
DWD Program.png
DWD Program.png


1 Dubinsky, V. S., & Baecker, D. R. 1998. An Interactive Drilling Dynamics Simulator for Drilling Optimization and Training. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 27-30 September. SPE-49205-MS. doi:10.2118/49205-MS

2 Neufeldt, A. C., Lai, S. W., & Kristjansson, S. D. 2018. An Algorithm to Automatically Zero Weight on Bit and Differential Pressure and Resulting Improvements in Data Quality. Presented at the SPE/IADC Drilling Conference and Exhibition, Fort Worth, Texas, 6-8 March. SPE-189636-MS. doi:10.2118/189636-MS