EVOLUTION OF THE DIGITAL OIL AND GAS ECOSYSTEM FROM SUPERCOMPUTING TO METACOMPUTING

IF 0.1 Q4 GEOSCIENCES, MULTIDISCIPLINARY Proceedings of the Tula States University-Sciences of Earth Pub Date : 2023-01-01 DOI:10.46689/2218-5194-2023-1-1-190-201
N. Eremin
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Abstract

The subject of the study is the consideration of trends in the evolution of the digital oil and gas ecosystem from supercomputing to metacomputing. The key factor constraining the innovative development of the Russian oil and gas complex is the lack of high-performance computing systems. The key oil and gas tasks requiring the involvement of super- and metacomputing of the peta and exaflop performance levels (1015 and 1018 floatingpoint operations per second, respectively) include the tasks of managing the "digital twin" of the oil and gas complex as a whole, the world's largest West Siberian oil and gas production center and unique oil and gas real-time monitoring of oil and gas fields, and training of highly qualified oil and gas specialists in this field.
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数字油气生态系统从超级计算到元计算的演变
该研究的主题是考虑数字油气生态系统从超级计算到元计算的演变趋势。制约俄罗斯油气综合体创新发展的关键因素是缺乏高性能计算系统。关键的油气任务需要peta和exaflop性能水平的超级和元计算(分别为每秒1015和1018个浮点运算)的参与,包括管理整个油气综合体的“数字孪生”任务,世界上最大的西西伯利亚油气生产中心和独特的油气实时监测油气田,以及培训该领域的高质量油气专家。
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