铁基硫酸盐因其高工作电压和低成本而成为钠离子电池(SIB)的理想正极候选材料,但其功率性能较差。针对以上问题,使用一种简易的方法,通过对氧化石墨烯进行凿孔处理,制备出多孔还原氧化石墨烯复合的Na_(2)Fe(SO_(4))_(2)@GO/C正极材料。...铁基硫酸盐因其高工作电压和低成本而成为钠离子电池(SIB)的理想正极候选材料,但其功率性能较差。针对以上问题,使用一种简易的方法,通过对氧化石墨烯进行凿孔处理,制备出多孔还原氧化石墨烯复合的Na_(2)Fe(SO_(4))_(2)@GO/C正极材料。氧化石墨烯表面富含大量的含氧官能团,在双氧水的作用下形成多孔氧化石墨烯,增大与电解液的接触面积和Na^(+)的扩散通道,使该材料具有出色的钠存储性能(0.1 C克容量为89.18 mA h·g^(-1))、优异的倍率性能(1 C克容量为77.37 mA h·g^(-1),容量保持率为86.8%,5 C克容量为56.3mA h·g^(-1),容量保持率为63%),优异的长循环性和高Na^(+)扩散系数。通过扫描电子显微镜(SEM),证实了多孔还原氧化石墨烯的可行性,通过不同扫描速率下的循环伏安曲线、拉曼测试、阻抗测试、赝电容计算,证实了该材料具有高充放电特征。展开更多
The Canglangpu Formation in the JT1 well area of the Sichuan Basin exhibits strong lateral heterogeneity and complex overpressure mechanisms, leading to ambiguous pore pressure distribution characteristics. Convention...The Canglangpu Formation in the JT1 well area of the Sichuan Basin exhibits strong lateral heterogeneity and complex overpressure mechanisms, leading to ambiguous pore pressure distribution characteristics. Conventional prediction methods, such as the Equivalent Depth Method, are either inapplicable or yield unsatisfactory results (e.g., Fillippone’s method), contributing to frequent drilling incidents like gas kick, overfl ow, and lost circulation, which hinder the safe and effi cient exploration of natural gas. To address these challenges, this paper integrates lithology, physical properties, and overpressure mechanisms of the Canglangpu Formation. From a petrophysical perspective, a pore pressure prediction model independent of lithology and overpressure mechanisms was developed by combining the poroelasticity theory, linear elastic Hooke’s Law, and Biot’s eff ective stress theory, with an analysis of the relationship between carbonate rock strain, external stress, and internal pore pressure. Unlike conventional methods, the model does not rely on the establishment of a normal compaction trend line. Pre-stack seismic inversion was applied to achieve 3D pore pressure prediction for the formation. Results indicate high accuracy, with a relative error of less than 5% compared to measured data, and strong consistency with actual drilling events. The proposed method provides robust technical support for pore pressure prediction in carbonate formations and drilling geological design.展开更多
文摘铁基硫酸盐因其高工作电压和低成本而成为钠离子电池(SIB)的理想正极候选材料,但其功率性能较差。针对以上问题,使用一种简易的方法,通过对氧化石墨烯进行凿孔处理,制备出多孔还原氧化石墨烯复合的Na_(2)Fe(SO_(4))_(2)@GO/C正极材料。氧化石墨烯表面富含大量的含氧官能团,在双氧水的作用下形成多孔氧化石墨烯,增大与电解液的接触面积和Na^(+)的扩散通道,使该材料具有出色的钠存储性能(0.1 C克容量为89.18 mA h·g^(-1))、优异的倍率性能(1 C克容量为77.37 mA h·g^(-1),容量保持率为86.8%,5 C克容量为56.3mA h·g^(-1),容量保持率为63%),优异的长循环性和高Na^(+)扩散系数。通过扫描电子显微镜(SEM),证实了多孔还原氧化石墨烯的可行性,通过不同扫描速率下的循环伏安曲线、拉曼测试、阻抗测试、赝电容计算,证实了该材料具有高充放电特征。
基金supported by innovation consortium project of China Petroleum and Southwest Petroleum University (No.2020CX010201)Sichuan Science and Technology Program (No. 2024NSFSC0081)。
文摘The Canglangpu Formation in the JT1 well area of the Sichuan Basin exhibits strong lateral heterogeneity and complex overpressure mechanisms, leading to ambiguous pore pressure distribution characteristics. Conventional prediction methods, such as the Equivalent Depth Method, are either inapplicable or yield unsatisfactory results (e.g., Fillippone’s method), contributing to frequent drilling incidents like gas kick, overfl ow, and lost circulation, which hinder the safe and effi cient exploration of natural gas. To address these challenges, this paper integrates lithology, physical properties, and overpressure mechanisms of the Canglangpu Formation. From a petrophysical perspective, a pore pressure prediction model independent of lithology and overpressure mechanisms was developed by combining the poroelasticity theory, linear elastic Hooke’s Law, and Biot’s eff ective stress theory, with an analysis of the relationship between carbonate rock strain, external stress, and internal pore pressure. Unlike conventional methods, the model does not rely on the establishment of a normal compaction trend line. Pre-stack seismic inversion was applied to achieve 3D pore pressure prediction for the formation. Results indicate high accuracy, with a relative error of less than 5% compared to measured data, and strong consistency with actual drilling events. The proposed method provides robust technical support for pore pressure prediction in carbonate formations and drilling geological design.
