Metadata Analysis Reveals Major Worldwide Trends in Industrial and Academic Geophysics

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Authors
Eltsov, Timofey cc
Yutkin, Maxim cc
Patzek, Tadeusz cc
KAUST Department
Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC)
Physical Science and Engineering (PSE) Division
Energy Resources and Petroleum Engineering Program
KAUST Grant Number
REP-2708
Date
2020-12-28
Submitted Date
2020-10-23
Permanent link to this record
http://hdl.handle.net/10754/666755

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Abstract
We summarize our metadata analysis of the last 38 well-attended annual conferences, organized by the Society of Exploration Geophysicists. In 2018, Schlumberger and Saudi Aramco had the highest number of publications among service and production companies. In 2019, BGP and PetroChina took the lead. Throughout history, US academics have had the highest number of publications, but in 2019 Chinese academia came close to taking the lead. Analysis of the publication activity of oil-producing and oilfield service companies provides insights into the state of geophysical research. The number of publications from industrial companies in the energy sector reflects their financial standing and aspirations for the near future. Publications from academia in different countries tell us about state and private funding of research in each country, and indirectly reflect the geopolitical situation in the world. The changing number of publications over time reflects the dynamics of the transformation of research in geophysics, and allows us to understand better what is happening and make forecasts.
Citation
Eltsov, T., Yutkin, M., & Patzek, T. W. (2020). Metadata Analysis Reveals Major Worldwide Trends in Industrial and Academic Geophysics. Energies, 14(1), 107. doi:10.3390/en14010107
Sponsors
The authors are grateful to their colleagues, especially to Thomas Finkbeiner, for their valuable research recommendations. The authors are grateful to Ilya Kolganov for the useful advice on the design of the graphs. We also would like to acknowledge Charles Russell Severance for an informative Python course.
Eltsov was supported by the KAUST Magnetic Sensor project, REP-2708.
Publisher
MDPI AG
Journal
Energies
DOI
10.3390/en14010107
Additional Links
https://www.mdpi.com/1996-1073/14/1/107
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Articles; Energy Resources and Petroleum Engineering Program; Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC); Physical Science and Engineering (PSE) Division
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.