基于瞬态压力脉冲法的含水合物沉积物渗透性实验研究

水合物藏的渗透特性是判断工业开采可行性的重要参数。为了研究以粉细砂为主构成的多孔介质中水合物对其渗透率的影响,基于瞬态压力脉冲法的原理及求解方法,研制了一套适用于测量含水合物沉积物渗透率的实验装置。利用该装置对含不同饱和度二氧化碳水合物的粉细砂样品进行了渗透率测量实验。结果表明,随着粉细砂样品中二氧化碳水合物饱和度的增加,其渗透率呈指数衰减趋势;将实验数据与渗透率模型进行对比,发现实验数据与水合物占据毛细管中心的平行毛细管模型最为相近。据此推断,水合物在细砂样品中的赋存状态以悬浮模式或接触模式为主。     

Development of an electronic stopping power model based on deep learning and its application in ion range prediction

Deep learning algorithm emerges as a new method to take the raw features from large dataset and mine their deep implicit relations, which is promising for solving traditional physical challenges. A particularly intricate and difficult challenge is the energy loss mechanism of energetic ions in solid, where accurate prediction of stopping power is a long-time problem. In this work, we develop a deep-learning-based stopping power model with high overall accuracy, and overcome the long-standing deficiency of the existing classical models by improving the predictive accuracy of stopping power for ultra-heavy ion with low energy, and the corresponding projected range. This electronic stopping power model, based on deep learning algorithm, could be hopefully applied for the study of ion-solid interaction mechanism and enormous relevant applications.     

沉积物中甲烷水合物饱和度测定及其力学特性研究

在自主研制的实验装置上合成甲烷水合物,采用时域反射技术(TDR)实时监测甲烷水合物生成过程中饱和度的变化,并与系统的压力降法计算的饱和度进行了对比。结果表明TDR法简单易行,结果可靠。对含甲烷水合物沉积物进行了一系列不排水三轴压缩实验,结果表明,含甲烷水合物沉积物的抗剪强度随着有效围压的增加和水合物饱和度的增加而增大;粘聚力随着甲烷水合物饱和度的增加而明显增加,但内摩擦角变化并不显著。在此基础上,提出了抗剪强度与有效围压和水合物饱和度的关系模型。