Introduction to this special section: Digitalization in energy

Q2 Earth and Planetary Sciences Leading Edge Pub Date : 2023-07-01 DOI:10.1190/tle42070456.1
V. Kazei, M. Sengupta
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引用次数: 0

Abstract

The concept of open and reproducible research is not entirely new to the field of geophysics, as evidenced by previous studies such as Fomel et al. (2013) . However, the advent of artificial intelligence (AI) and cloud computing have greatly simplified the sharing of technology and resources, and this has accelerated innovation ( Lowndes et al., 2017 ) and brought about a shift in the mindset of geoscientists. For the papers gathered in this special section, the authors made extensive use of open-source material in their underlying research, and they have, in turn, made their data, code, and software tools freely available.
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本专题介绍:能源数字化
正如Fomel等人之前的研究所证明的那样,开放和可重复研究的概念对地球物理学领域来说并不新鲜。(2013)。然而,人工智能(AI)和云计算的出现极大地简化了技术和资源的共享,这加速了创新(Lowndes et al.,2017),并带来了地球科学家心态的转变。对于本专题部分收集的论文,作者在其基础研究中广泛使用了开源材料,反过来,他们还免费提供了数据、代码和软件工具。
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来源期刊
Leading Edge
Leading Edge Earth and Planetary Sciences-Geology
CiteScore
3.10
自引率
0.00%
发文量
180
期刊介绍: THE LEADING EDGE complements GEOPHYSICS, SEG"s peer-reviewed publication long unrivalled as the world"s most respected vehicle for dissemination of developments in exploration and development geophysics. TLE is a gateway publication, introducing new geophysical theory, instrumentation, and established practices to scientists in a wide range of geoscience disciplines. Most material is presented in a semitechnical manner that minimizes mathematical theory and emphasizes practical applications. TLE also serves as SEG"s publication venue for official society business.
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