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

ABSTRACT

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.

KEYWORDS:

• Artificial neural network
• CO₂ storage
• co-kriging
• geological modelling
• object-based method

Acknowledgments

The authors would like to express their gratitude to the AUN/SEED net (ASEAN University Network Southeast Asia Engineering Education Development Network) program and JICA (Japanese International Cooperation Agency) for their financial support.