Data-driven Drilling Optimization
Data-Driven Drilling Optimization is a systematic approach within drilling engineering that leverages empirical data and analytical models to iteratively refine drilling performance, distinguished by its reliance on measured operational data rather than purely theoretical or heuristic methods to optimize drilling parameters and outcomes.
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1.9K
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207
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81
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2017–2026
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Big Data analytics in oil and gas industry: An emerging trend
Mehdi Mohammadpoor, Farshid Torabi · Petroleum · 2018 · 272 citations · Full text
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China University of Petroleum, Beijing
Beijing, China
4 h-index
22 publications
630 citations
Texas A&M University
College Station, United States
3 h-index
10 publications
211 citations
The University of Texas at Austin
Austin, United States
3 h-index
9 publications
762 citations

University of Calgary
Calgary, Canada
2 h-index
3 publications
75 citations
Texas A&M University at Qatar
Doha, Qatar
2 h-index
5 publications
146 citations
University of Houston
Houston, United States
2 h-index
4 publications
127 citations
Amirkabir University of Technology
Tehran, Iran
2 h-index
2 publications
108 citations
Halliburton (United Kingdom)
Arbroath, United Kingdom
2 h-index
2 publications
81 citations
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Conference · 5 publications · 118 citations
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5 publications · 191 citations
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Conference · 3 publications · 47 citations
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2 publications · 197 citations
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Conference · 2 publications · 44 citations
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