Determination of the elastic modulus set of foliated rocks from ultrasonic velocity measurements

Ultrasonic measurements of compressional and shear wave velocities under hydrostatic pressure up to 70 MPa were carried out on cylindrical specimens cored across and along the foliation planes. Our measurements revealed that the foliation of the metamorphic rocks induces a clear velocity anisotropy between two orthogonal directions; faster along the foliation plane and slower across the plane in most rock types. All velocity components monotonically increase with the confining pressure, probably due to the closure of microcracks distributed in rock specimens. We determined the complete set of dynamic moduli of foliated metamorphic rocks with two assumptions; transverse isotropy due to the foliation and ellipsoidal seismic energy propagation from a point source. The calculated elastic moduli referring to different directions could be valuable for the design of various engineering structures in planar textured rock mass.     

大震前井水位长周期波生成机理的实验证据

根据一些学者的岩石力学实验结果证实岩石在大破裂前能够产生一种长周期、小振幅的低频事件,并依此来解释大震前井水位长周期事件的物理机制.研究结果表明,大震前井水位长周期事件反映了震源的内部信息,是大震前断裂失稳扩展前预扩展所产生的一种波,是震源成核过程的反映.     

Green''''s functions for uniformly distributed loads acting on an inclined line in a poroelastic layered site

Based on one type of practical Biot's equation and the dynamic-stiffness matrices of a poroelastic soil layer and half-space, Green's functions were derived for uniformly distributed loads acting on an inclined line in a poroelastic layered site. This analysis overcomes significant problems in wave scattering due to local soil conditions and dynamic soil-structure interaction. The Green's functions can be reduced to the case of an elastic layered site developed by Wolf in 1985. Parametric studies are then carried out through two example problems.     

预测有效波高的深度学习模型研究

研究基于RNN、LSTM、GRU深度学习模型,针对NOAA浮标数据集中的44013、44014、44017浮标的数据,通过斯皮尔曼相关性分析提高模型预测效果。实验结果表明,在进行相关性分析后,S-RNN、S-LSTM、 S-GRU的预测效果均比原始RNN、LSTM、GRU模型预测效果好。此外,提出一种基于LSTM的LSTM-Attention 波高预测模型,并进行相关实验,量化LSTM-Attention模型的预测效果,实验结果表明LSTM-Attention模型有更好的预测效果。为评估模型的泛化能力,研究还提出了一种采用邻近浮标数据进行学习,预测浮标缺失数据的方 法。实验结果表明,该方法的预测精度可以达到97.93%。本研究为海浪预测提供了新的方法和思路,也为未来深 度学习模型在海浪预测中的应用提供了参考。     

适于陡坡带砂砾岩体的地震资料叠前时间偏移处理技术

随着勘探程度的不断提高,断陷盆地陡坡带砂砾岩体油气藏成为了重点勘探对象之一,但陡倾角的大断层、非均质性强的砂砾岩体使得常规的叠后偏移成像方法成果难以满足勘探开发的需要.采用叠前时间偏移处理技术,开展针对性的叠前预处理技术、精细的速度模型建立和关键参数的合理选取等研究,三维叠前时间偏移处理较常规三维叠后时间偏移处理获得了较高质量的成像剖面,且输出的道集可以用于砂砾岩体储层描述研究.     

新疆于田地区地震活动趋势分析

2008年和2014年,新疆和田地区于田县先后发生一次MS 7.3地震.2020年6月26日,该区再次发生MS 6.4地震,震源深度10 km,震中位于(35.73°N,82.33°E).通过地震活动性和构造背景,探讨该区域未来地震孕育特征和地震活动危险性. (1)发震构造背景.新疆于田地区位于西昆仑断裂带康西瓦断裂、...