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学術誌査読

26 被引用数 (Scopus)

抄録

This study proposed a new geological modelling procedure for CO2 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 CO2 injection scenarios on the geological model of two workflows. The simulation results of CO2 flow response corroborated that the new modelling workflow by showing better performance than the traditional modelling workflow. Thus, in the selected CO2 storage sites, the new modelling workflow is preferred because it strongly enhances the CO2 storage evaluation.

本文言語英語
ページ(範囲)1499-1512
ページ数14
ジャーナルEnergy Sources, Part A: Recovery, Utilization and Environmental Effects
42
12
DOI
出版ステータス出版済み - 6月 17 2020

All Science Journal Classification (ASJC) codes

  • 再生可能エネルギー、持続可能性、環境
  • 原子力エネルギーおよび原子力工学
  • 燃料技術
  • エネルギー工学および電力技術

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