Skip to main content
zenodoopen

Dataset supporting publications: "Discrete Element Modelling of Rock Drilling" and "Towards Discrete Element Modelling of Rock Drilling"

<p>Dataset supporting publications: Paper - &ldquo;Discrete Element Modelling of Rock Drilling&rdquo; and Thesis - &ldquo;Towards Discrete Element Modelling of Rock Drilling&rdquo; (both publications available in Zenodo: <a href="https://zenodo.org/record/7274081#.Y2JoCXbMJPY">paper</a>, <a href="https://zenodo.org/record/5901677#.Y2s51HaZO3B">thesis</a>)</p> <p>Dataset used: Wear test datasets as described in T2.3.1 for the improvement of drilling efficiency via the selection of optimal drill bits (D5), Mechanical properties rock/soil (D29), Datasets resultant from numerical simulations of the drilling operation in T7.2-5 (D33)</p> <p>Percussive rotary drilling is recognized as the most efficient method for hard rock drilling. Despite clear advantages over conventional rotary methods, there are still some uncertainties associated with percussive drilling. For geothermal applications, drilling accounts for a large portion of the total cost. Specifically, the wear of drill bits when drilling in hard rock is a predominant cost factor and drilling parameters are often based on the experience of the field operator. Within the framework of the H2020 project GEOFIT, numerical simulations of percussive drilling are performed in order to evaluate the rock drilling process and gain insight about the trade-off between wear and Rate of Penetration (ROP). In the simulations, the rock material was represented by the Bonded Discrete Element Method (BDEM), the drill bit by the Finite Element Method (FEM), the drilling fluid by the Particle Finite Element Method (PFEM) and the abrasive wear on the surface of the drill bit was represented by Archard&rsquo;s wear law. The drilling simulations were conducted for two rock materials; a sedimentary rock material corresponding to what was found when drilling at the GEOFIT pilot site in Aran Islands, Ireland, and a harder reference rock similar to granite. The results show that, at a drill bit impact force of 10 kN, the ROP in the sedimentary rock was 6.3 times faster than for granite. When increasing the impact force to 40 and 50 kN, however, the ROP for the sedimentary rock is only 1.9 and 1.6 times faster, respectively. Furthermore, the wear rate decreased with increased impact force when drilling in the granite rock. For the sedimentary rock, however, the loading resulting in the best trade-off between abrasive wear and ROP was the second highest loading of 40 kN, which suggests that an increase in impact energy may increase the rate of penetration but may not be economically motivated.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Dataset details

Repository
zenodo
Published
December 13, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.7436796

Scored with release 0.9.0

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.