Inverse modelling using PS‐InSAR data for improved land subsidence simulation in Las Vegas Valley,Nevada          下载免费PDF全文

Meijing Zhang  Thomas J. Burbey 《水文研究》2016,30(24):4494-4516

Las Vegas Valley has had a long history of groundwater development and subsequent surface deformation. InSAR interferograms have revealed detailed and complex spatial patterns of subsidence in the Las Vegas Valley area that do not coincide with major pumping regions. This research represents the first effort to use high spatial and temporal resolution subsidence observations from InSAR and hydraulic head data to inversely calibrate transmissivities (T), elastic and inelastic skeletal storage coefficients (S_ke and S_kv) of the developed‐zone aquifer and conductance (CR) of the basin‐fill faults for the entire Las Vegas basin. The results indicate that the subsidence observations from InSAR are extremely beneficial for accurately quantifying hydraulic parameters, and the model calibration results are far more accurate than when using only groundwater levels as observations, and just a limited number of subsidence observations. The discrepancy between distributions of pumping and greatest levels of subsidence is found to be attributed to spatial variations in clay thickness. The Eglington fault separates thicker interbeds to the northwest from thinner interbeds to the southeast and the fault may act as a groundwater‐flow barrier and/or subsidence boundary, although the influence of the groundwater barrier to this area is found to be insignificant. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

Displacement analytical prediction of shallow tunnel based on unified displacement function under slope boundary     

Fanchao Kong  Dechun Lu  Xiuli Du  Chenpeng Shen 《国际地质力学数值与分析法杂志》2019,43(1):183-211

For slope condition of ground surface, the asymmetrical deformation about the vertical center line and the horizontal center line of the tunnel cross section can be formed. A unified displacement function expressed by the Fourier series is presented to express the asymmetrical deformation of the tunnel cross section. Five basic deformation modes corresponding to the expansion order 2 are a complete deformation mode to reflect deformation behaviors of the tunnel cross section under slope boundary. Such this complete displacement mode is implemented into the complex variable solution for analytically predicting tunneling-induced ground deformation under slope boundary. All of these analytical solutions are verified by good agreements of the comparison between the analytical solutions and finite element method results. A parameter study is carried out to investigate the influence of deformation modes of the tunnel cross section, geometrical conditions of the tunnel and the slope angle, and “Buoyancy effect” on the displacement field. Finally, the proposed method is consistent with measured data of the Hejie tunnel in China qualitatively. The presented solution can provide a simplified indication for evaluating the ground deformation under slope condition of ground surface.  相似文献   

A multidirectional semi‐analytical method for analysis of laterally loaded pile groups in multi‐layered elastic strata          下载免费PDF全文

F.S. Tehrani  M. Prezzi  R. Salgado 《国际地质力学数值与分析法杂志》2016,40(12):1730-1757

A semi‐analytical method for calculating the response of single piles and pile groups subjected to lateral loading is developed in this paper. Displacements anywhere in the soil domain are tied to the displacements of the piles through decay functions. The principle of virtual work and the calculus of variations are used to derive the governing differential equations that describe the response of the piles and soil. The eigenvalue method and the finite difference technique are used to solve the system of coupled differential equations for the piles and soil, respectively. The proposed method takes into account the soil surface displacement along and perpendicular to the loading direction and produces displacement fields that are very close to those produced by the finite element method but at lower computational effort. Compared with the previous method that considered only the soil displacement along the loading direction, accounting for the multi‐directional soil displacement field produces responses for the piles and soil that are closer to those approximated by the finite element method. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

基于重力全张量数据的Parker-Oldenburg算法研究     

卢鹏羽  马国庆 《世界地质》2016,35(1):216-222

相比重力数据,重力张量数据通常包含更多的异常信息。本文根据重力数据与重力张量数据的关系,利用位场转化技术,将重力张量数据应用于传统的Parker-Oldenburg密度界面反演算法中。通过模型试验,证明了在网格间距较大或者数据存在一定噪音时,使用本文算法进行反演能得到更好的效果。实验结果说明利用重力张量数据可以有效地提高密度界面反演的分辨率。  相似文献   

二连盆地与地沥青密切相关的砂岩型铀矿床微观矿物特征及成因分析     

王文广 《铀矿地质》2016,(5):270-278

内蒙古二连盆地产在下白垩统碎屑岩系中的砂岩型铀矿床,其矿化与地沥青密切相关,有铀矿物存在之处必有地沥青;岩石中也普遍含地沥青。笔者通过蚀刻α径迹示踪,对铀含量在(200~1770)×10~(-6)的碎屑岩进行扫描电镜分析,采用分子量计算方法确定了该地区含铀碎屑岩中的铀是以多种超显微铀矿物形式存在。其中,以赛汉高毕铀矿床为代表,铀主要形成复成分磷钙铀矿。其它铀矿床也普遍有复成分磷钙铀矿产出:巴彦乌拉矿床样品因钙含量低、硅含量高,则铀石多于复成分磷钙铀矿;道尔苏矿床以铀石和磷铀矿为主,有少量沥青铀矿及复成分磷钙铀矿;哈达图矿床主要是沥青铀矿,未见复成分磷钙铀矿。除了地沥青之外,各矿床中与铀矿物共生的主要矿物还有草莓状、鲕粒状黄铁矿。由此推断,铀矿床的可能成因是:来自盆地深部的UH_3、PH_3、CaH_2、SiH_4、FeH_2、H_2S等在伴随油气向上运移过程中,由于温度、压力降低和氧化作用而发生分解及凝聚,形成草莓状、鲕粒状黄铁矿;同时派生出含U、P、Si、Ca等的氧化物的低温热水溶液,并最终结晶析出铀矿物,形成有大量黄铁矿共生的铀矿体;而油气经过长期挥发,最终演变成地沥青,成为铀矿物的载体。  相似文献   

不同刚度植物杆群对规则波传播及紊动特性影响研究     

谭超  黄本胜  刘达  邱静  王珍  吉红香 《海洋工程》2016,34(6):38-45

以不同刚度硅胶圆杆群为概化植物模型,测定其抗弯弹性模量,通过波浪水槽实验,研究规则波在不同刚度植物杆群内的流速分布、紊动特征及不同刚度杆群的消浪效果。实验结果表明,当波浪通过柔性杆群时,受其摆动的影响,流速周期变化从单峰型逐渐转变成双峰型,杆群刚度越小形成的二次波峰越明显;不同刚度杆群内水体紊动强度变化显示,杆群刚度越大,造成杆群内水体的紊动强度越大;随着杆群抗弯弹性模量的增大,其消浪系数也增大,消浪系数的增长与材料的抗弯弹性模量值非线性关系,而是在某一弹性模量范围内,对消浪系数的影响较为敏感。  相似文献   

煤渣改良土的抗冻能力及损伤特性研究     

张向东  任昆 《冰川冻土》2018,40(4):764-772

为研究煤渣改良土作为季节冻土区路基填料的抗冻能力,以不同煤渣掺量及不同养护龄期下的煤渣改良土为研究对象,利用GDS三轴试验系统开展了不同冻融次数下改良土的三轴压缩试验,获得了最佳的煤渣掺量及养护时间数据,提出冻融及加载综合影响下改良土的总损伤变量,并据此建立了损伤本构关系。结果表明：改良土的抗冻能力随着煤渣掺入量的增大出现先增强后减弱的变化趋势,随龄期的增长而逐渐增强。冻融循环对改良土物理力学性质的影响主要集中在前5次循环过程,超过5次后影响逐渐减弱。冻融加载总损伤变量能够较好地反映冻融及加载过程中改良土性质的劣化,据此建立的损伤本构关系具有一定的精度,可以为季节冻土区煤渣改良土路基工程提供参考。  相似文献   

月球岩石圈弹性厚度研究进展     

钟振  范广学  鄢建国  陈世国 《地质学报》2021,95(9):2692-2702

月球热演化研究需要丰富的月表热流数据.当前唯一的月表热流数据不完全可靠,单一数据也不足代表月球全球热流特征,通过月球岩石圈弹性厚度估算月表热流将会是有效的替代方案.针对弹性厚度估算的问题,概要回顾了以往估算的研究方法和成果,并对近年来利用重力地形导纳估算弹性厚度的理论方法进行了详细的介绍.近年来的研究结果表明月球全球岩石圈的Te可能较小,暗示月表地形形成于岩石圈冷却前较长的一段时间.个别研究成功地估算了个别质量瘤盆地的Te ,但大部分质量瘤盆地的较难估算,这不仅与质量瘤盆地复杂物理过程有关,还可能与岩石圈复杂的补偿机制有关.由于Te仅仅是岩石圈强弱的表征,不同研究方法得出的Te值存在差异是可能的.随着后续探月活动的开展,与国际社会合作布设月球热流载荷,结合后续研究对月球内部结构、月壳和月幔流变学特征的丰富认识,有望优化现有Te估算的理论与方法,进而为全球热流估算及热演化研究提供约束.  相似文献   

超参数对GRU-CNN混合深度学习弹性阻抗反演影响研究     

梁立锋  刘秀娟  张宏兵  陈程浩  陈锦华 《物探与化探》2021,(1):133-139

CNN-GRU混合深度学习反演弹性阻抗取得了较好的反演效果。但是,基于深度学习的叠前反演参数众多,包括内部深度学习网络可学习参数和外部超参数等,目前超参数选取对网络性能及计算速度影响尚缺乏系统性研究,这直接影响到了该方法的进一步推广应用。因此,本文在混合深度学习反演弹性阻抗基础上,探讨学习率、Epoch、batch_size、正则化参数及参与网络训练的测井个数等5个超参数对网络性能及计算速度的影响,为深度学习地震反演超参数选取提供依据。研究结果可为三维大面积深度学习反演提供一个可行的质控手段,对于推动深度学习方法在石油物探中广泛应用具有一定意义。  相似文献   

Brittleness index predictions from Lower Barnett Shale well-log data applying an optimized data matching algorithm at various sampling densities     

David A.Wood 《地学前缘(英文版)》2021,12(6):444-457

The capability of accurately predicting mineralogical brittleness index(BI)from basic suites of well logs is desir-able as it provides a useful indicator of the fracability of tight formations.Measuring mineralogical components in rocks is expensive and time consuming.However,the basic well log curves are not well correlated with BI so correlation-based,machine-learning methods are not able to derive highly accurate BI predictions using such data.A correlation-free,optimized data-matching algorithm is configured to predict BI on a supervised basis from well log and core data available from two published wells in the Lower Barnett Shale Formation(Texas).This transparent open box(TOB)algorithm matches data records by calculating the sum of squared errors be-tween their variables and selecting the best matches as those with the minimum squared errors.It then applies optimizers to adjust weights applied to individual variable errors to minimize the root mean square error(RMSE)between calculated and predicted(BI).The prediction accuracy achieved by TOB using just five well logs(Gr,pb,Ns,Rs,Dt)to predict BI is dependent on the density of data records sampled.At a sampling density of about one sample per 0.5 ft BI is predicted with RMSE～0.056 and R2～0.790.At a sampling density of about one sample per 0.1 ft BI is predicted with RMSE～0.008 and R2～0.995.Adding a stratigraphic height index as an additional(sixth)input variable method improves BI prediction accuracy to RMSE～0.003 and R2～0.999 for the two wells with only 1 record in 10,000 yielding a BI prediction error of＞±0.1.The model has the potential to be applied in an unsupervised basis to predict BI from basic well log data in surrounding wells lacking mineralogical measure-ments but with similar lithofacies and burial histories.The method could also be extended to predict elastic rock properties in and seismic attributes from wells and seismic data to improve the precision of brittleness index and fracability mapping spatially.  相似文献