Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Design and Experimental Validation of a Machine Learning Estimation System for Down-hole Drilling Performance

Conference ·
OSTI ID:2432114
 [1];  [2];  [2];  [2];  [3];  [2];  [2]
  1. University of Washington - Seattle
  2. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
  3. University of Washington
+ Show Author Affiliations

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
Geothermal Technologies Program
DOE Contract Number:
NA0003525
OSTI ID:
2432114
Report Number(s):
SAND2023-11784C
Country of Publication:
United States
Language:
English

Similar Records

Design and Experimental Validation of a Machine Learning Estimation System for Down-hole Drilling Performance
Conference · Tue Jan 31 23:00:00 EST 2023 · OSTI ID:2432053
Machine Learning Methods for Estimating Down-hole Depth of Cut.
Conference · Tue Jun 01 00:00:00 EDT 2021 · OSTI ID:1875244
Machine Learning Methods for Estimating Down-Hole Depth of Cut.
Conference · Wed Sep 01 00:00:00 EDT 2021 · OSTI ID:1888384

Related Subjects