盖层
硬石膏
油页岩
地质学
毛细管压力
毛细管作用
甲烷
二氧化碳
岩芯样品
石膏
矿物学
岩石学
石油工程
多孔性
岩土工程
芯(光纤)
材料科学
复合材料
化学
有机化学
古生物学
多孔介质
作者
Amirsaman Rezaeyan,Seyyed Alireza Tabatabaei‐Nejad,Elnaz Khodapanah,Mosayyeb Kamari
标识
DOI:10.1016/j.marpetgeo.2015.07.022
摘要
Abstract Caprock has the most important role in the long term safety of formation gas storage. The caprocks trap fluid accumulated beneath, contribute to lateral migration of this fluid and impede its upward migration. The rapid upward passage of invasive plumes due to buoyancy pressure is prevented by capillary pressure within these seal rocks. In the present study, two main seal rocks, from the Zagros basin in the southwest of Iran, a shale core sample of Asmari formation and an anhydrite core sample of Gachsaran formation, were provided. Absolute permeabilities of shale and anhydrite cores, considering the Klinkenberg effect, were measured as 6.09 × 10 −18 and 0.89 × 10 −18 m 2 , respectively. Capillary sealing efficiency of the cores was investigated using gas breakthrough experiments. To do so, two distinct techniques including step by step and residual capillary pressure approaches were performed, using carbon dioxide, nitrogen and methane gases at temperatures of 70 and 90 °C, under confining pressures in the range 24.13–37.92 MPa. In the first technique, it was found that capillary breakthrough pressure of the cores varies in the range from 2.76 to 34.34 MPa. Moreover, the measurements indicated that after capillary breakthrough, gas effective permeabilities lie in range 1.85 × 10 −21 – 1.66 × 10 −19 m 2 . In the second technique, the minimum capillary displacement pressure of shale varied from 0.66 to 1.45 MPa with the maximum effective permeability around 7.76 × 10 −21 – 6.69 × 10 −20 m 2 . The results indicate that anhydrite caprock of the Gachsaran formation provides proper capillary sealing efficacy, suitable for long term storage of the injected CO 2 plumes, due to its higher capillary breakthrough pressure and lower gas effective permeability.
科研通智能强力驱动
Strongly Powered by AbleSci AI