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

TY - DATA AB - 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 AU - Su, Jiann A2 - Mazumdar, Anirban A3 - Buerger, Stephen A4 - Foris, Adam A5 - Faircloth, Brian DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1995008 KW - geothermal KW - percussive hammer KW - weight-on-bit KW - optimization KW - microholes KW - slimholes KW - drilling KW - exploration KW - monitoring KW - technical assessment KW - feasibility KW - WOB KW - GSS KW - golden section search KW - algorithm KW - Blue Canyon Dome KW - New Mexico Tech Energetic Materials Research and Testing Center KW - Socorro KW - New Mexico LA - English DA - 2021/06/23 PY - 2021 PB - Sandia National Laboratories T1 - Microhole drilling technology utilizing a golden section search algorithm UR - https://doi.org/10.15121/1995008 ER -
Export Citation to RIS
Su, Jiann, et al. Microhole drilling technology utilizing a golden section search algorithm. Sandia National Laboratories, 23 June, 2021, Geothermal Data Repository. https://doi.org/10.15121/1995008.
Su, J., Mazumdar, A., Buerger, S., Foris, A., & Faircloth, B. (2021). Microhole drilling technology utilizing a golden section search algorithm. [Data set]. Geothermal Data Repository. Sandia National Laboratories. https://doi.org/10.15121/1995008
Su, Jiann, Anirban Mazumdar, Stephen Buerger, Adam Foris, and Brian Faircloth. Microhole drilling technology utilizing a golden section search algorithm. Sandia National Laboratories, June, 23, 2021. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1995008
@misc{GDR_Dataset_1360, title = {Microhole drilling technology utilizing a golden section search algorithm}, author = {Su, Jiann and Mazumdar, Anirban and Buerger, Stephen and 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}, url = {https://gdr.openei.org/submissions/1360}, year = {2021}, howpublished = {Geothermal Data Repository, Sandia National Laboratories, https://doi.org/10.15121/1995008}, note = {Accessed: 2025-04-23}, doi = {10.15121/1995008} }
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.

DOE Project Details

Project Name Microhole Drilling

Project Lead Eric Hass

Project Number FY16 AOP 3214

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