Drilling Data Analytics
Drilling Data Analytics is a systematic computational and statistical methodology for extracting actionable insights, optimizing performance, and enhancing decision-making in drilling operations through the analysis of high-volume, multi-source drilling data streams.
56
Publications
1.5K
Citations
227
Authors
57
Institutions
Publications per year
2017–2026
40
Parents
56
1–5 of 56
227
4
h-index
King Fahd University of Petroleum and Minerals, Saudi Arabia
2 publications · 80 citations
2
h-index
2
h-index
2 publications · 26 citations
2
h-index
2
h-index
1–5 of 227
57
Saudi Aramco (United States)
Houston, United States
5 h-index
17 publications
564 citations
Schlumberger (British Virgin Islands)
Road Town, British Virgin Islands
5 h-index
21 publications
341 citations
Apache (Canada)
Calgary, Canada
4 h-index
20 publications
297 citations
University of Stavanger
Stavanger, Norway
3 h-index
9 publications
171 citations

University of Calgary
Calgary, Canada
3 h-index
4 publications
157 citations
Shell (Netherlands)
The Hague, The Netherlands
2 h-index
6 publications
122 citations
The University of Texas at Austin
Austin, United States
2 h-index
5 publications
400 citations
Ta Solutions (China)
Hong Kong, China
2 h-index
7 publications
128 citations
1–8 of 57
Conference · 4 publications · 115 citations
4
h-index
Conference · 4 publications · 66 citations
4
h-index
3 publications · 43 citations
3
h-index
3 publications · 153 citations
3
h-index
2 publications · 52 citations
2
h-index
1–5