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Microhole drilling technology utilizing a golden section search algorithm

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A fundamental issue in microhole drilling is that delivering high weight-on-bit (WOB), high torque rotational horsepower to a conventional drill bit does not scale down to the hole sizes necessary to realize the envisioned cost savings An optimization algorithm called a golden section search (GSS) was used to systematically identify the preferred WOB for a given set of conditions. This research focused on implementing and evaluating two low WOB drilling technologies for microhole drilling:
- Laser-assisted mechanical drill, which was tested in the laboratory
- Lightly modified commercial off-the-shelf (COTS) percussive hammer, which was tested in a limited field test.

Data were collected for microhole GSS using WOB optimization via simulation as well as at the Blue Canyon Dome Site in Socorro, NM.

Information on the attached files and folders are as follows:
- the .tdms files are LabView data files, which can be opened within Excel using a .tdms add-in or using a Matlab .tdms converter
- the .tdms_index files are part of the .tdms file structure
- sampling rate, column headers, and length data within the .tdms files follow SOP when utilizing Excel and/or Matlab as described above

Citation Formats

Sandia National Laboratories. (2021). Microhole drilling technology utilizing a golden section search algorithm [data set]. Retrieved from https://dx.doi.org/10.15121/1995008.
Export Citation to RIS
Su, Jiann, Mazumdar, Anirban, Buerger, Stephen, Foris, Adam, and Faircloth, Brian. Microhole drilling technology utilizing a golden section search algorithm. United States: N.p., 23 Jun, 2021. Web. doi: 10.15121/1995008.
Su, Jiann, Mazumdar, Anirban, Buerger, Stephen, Foris, Adam, & Faircloth, Brian. Microhole drilling technology utilizing a golden section search algorithm. United States. https://dx.doi.org/10.15121/1995008
Su, Jiann, Mazumdar, Anirban, Buerger, Stephen, Foris, Adam, and Faircloth, Brian. 2021. "Microhole drilling technology utilizing a golden section search algorithm". United States. https://dx.doi.org/10.15121/1995008. https://gdr.openei.org/submissions/1360.
@div{oedi_5942, title = {Microhole drilling technology utilizing a golden section search algorithm}, author = {Su, Jiann, Mazumdar, Anirban, Buerger, Stephen, Foris, Adam, and Faircloth, Brian.}, abstractNote = {A fundamental issue in microhole drilling is that delivering high weight-on-bit (WOB), high torque rotational horsepower to a conventional drill bit does not scale down to the hole sizes necessary to realize the envisioned cost savings An optimization algorithm called a golden section search (GSS) was used to systematically identify the preferred WOB for a given set of conditions. This research focused on implementing and evaluating two low WOB drilling technologies for microhole drilling:
- Laser-assisted mechanical drill, which was tested in the laboratory
- Lightly modified commercial off-the-shelf (COTS) percussive hammer, which was tested in a limited field test.

Data were collected for microhole GSS using WOB optimization via simulation as well as at the Blue Canyon Dome Site in Socorro, NM.

Information on the attached files and folders are as follows:
- the .tdms files are LabView data files, which can be opened within Excel using a .tdms add-in or using a Matlab .tdms converter
- the .tdms_index files are part of the .tdms file structure
- sampling rate, column headers, and length data within the .tdms files follow SOP when utilizing Excel and/or Matlab as described above}, doi = {10.15121/1995008}, url = {https://gdr.openei.org/submissions/1360}, journal = {}, number = , volume = , place = {United States}, year = {2021}, month = {06}}
https://dx.doi.org/10.15121/1995008

Details

Data from Jun 23, 2021

Last updated Aug 15, 2023

Submitted Aug 4, 2023

Organization

Sandia National Laboratories

Contact

Jiann Su

505.284.0763

Authors

Jiann Su

Sandia National Laboratories

Anirban Mazumdar

Georgia Institute of Technology

Stephen Buerger

Sandia National Laboratories

Adam Foris

Sandia National Laboratories

Brian Faircloth

Foro Energy Inc.

Research Areas

DOE Project Details

Project Name Microhole Drilling

Project Lead Eric Hass

Project Number FY16 AOP 3214

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