Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam

Hung Vo Thanh, Yuichi Sugai, Kyuro Sasaki

研究成果: ジャーナルへの寄稿記事

1 引用 (Scopus)

抄録

This study proposed a new geological modelling procedure for CO 2 storage assessment in offshore Vietnam by integrating artificial neural networks, co-kriging and object-based methods. These methods could solve the limitations of well data that have not been addressed by conventional modelling. Petrel software was used to build a geological model for comparing conventional and new modelling workflows. Moreover, the Eclipse simulator was used for CO 2 injection scenarios on the geological model of two workflows. The simulation results of CO 2 flow response corroborated that the new modelling workflow by showing better performance than the traditional modelling workflow. Thus, in the selected CO 2 storage sites, the new modelling workflow is preferred because it strongly enhances the CO 2 storage evaluation.

元の言語英語
ジャーナルEnergy Sources, Part A: Recovery, Utilization and Environmental Effects
DOI
出版物ステータス出版済み - 1 1 2019

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Simulators
Neural networks

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology

これを引用

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