Microhole drilling technology utilizing a golden section search algorithm

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

微孔钻探中的一个核心问题在于：向传统钻头传递高钻压（weight-on-bit, WOB）、高扭矩旋转马力的方式，无法按比例缩小到实现预期成本节约所需的孔尺寸。本研究采用一种名为黄金分割搜索（golden section search, GSS）的优化算法，针对特定工况系统地确定最优钻压。本研究致力于实施并评估两种适用于微孔钻探的低钻压技术：
- 激光辅助机械钻头（已通过实验室测试）
- 轻度改装的商用现货（commercial off-the-shelf, COTS）冲击锤（已通过有限现场测试）。
研究通过仿真以及在新墨西哥州索科罗市蓝峡谷穹顶场地的试验，收集了用于微孔钻探GSS钻压优化的数据。
附件文件及文件夹说明如下：
- .tdms文件为LabView数据文件，可通过Excel的.tdms插件或Matlab的.tdms转换器打开
- .tdms_index文件是.tdms文件结构的一部分
- 当使用上述Excel或Matlab方式打开时，.tdms文件中的采样率、列标题及长度数据均遵循SOP规范