固碳
选址
选择(遗传算法)
构造盆地
表征(材料科学)
环境科学
地质学
生态学
计算机科学
纳米技术
生物
古生物学
政治学
材料科学
二氧化碳
法学
人工智能
作者
Pegah Soleimani Dinani,Sabina Bigi,S.E. Beaubien,Alessia Conti,Seyed Ali Moallemi,Fabio Trippetta,Behzad Tokhmechi
摘要
ABSTRACT The increasing global focus on carbon sequestration underscores the need for comprehensive CO 2 storage atlases, extending beyond Europe and America to other countries that are significant contributors to carbon dioxide emissions. This article addresses this imperative by examining the CO 2 storage potential in the Lurestan area of Iran, with a specific focus on static reservoir modelling and capacity calculation. Our approach involves evaluating potential reservoirs for carbon sequestration using seismic data and well logs followed by site ranking using the Analytic Hierarchy Process (AHP) technique. An in‐depth evaluation was then performed on the highest ranking available reservoir. This included construction of a 3D geological model based on integrated well log and seismic data followed by population of the defined reservoir and seal layers with crucial properties based on available well logs. Finally, reservoir storage capacity was estimated using a volumetric approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI