基于连续损伤的水平井射孔-近井筒三维破裂模拟

射孔作为井筒与储层之间的液流通道,是水力压裂过程中的重要可控性参数。为研究水平井射孔-近井筒破裂机制,采用岩层变形-流体渗流方程描述应力状态变化,应用连续损伤破裂单元表征三维破裂位置与形态演化,并开发有限元求解程序模拟分析了射孔对水平井初始破裂压力、破裂位置及近井筒裂缝复杂性的调控作用。通过与解析模型及射孔压裂物理模型试验结果对比,验证了模型及有限元程序的有效性;水平井破裂压力数值分析结果与现场测试数据吻合较好。研究表明：射孔可调控水平井破裂压力与初始破裂位置,同时对近井筒区域裂缝扩展形态影响显著。通过优化射孔参数可以引导初始破裂向最优破裂面扩展、有效降低破裂压力,减小由于螺旋射孔空间排布引起的水平井近井筒裂缝迂曲与复杂程度,提高致密油气藏压裂改造效果。     

基于探地雷达属性分析的典型岩溶不良地质识别方法

采用探地雷达进行岩溶隧道超前地质预报时,受现场探测环境、岩溶地质的复杂性以及解译技术制约,多解性问题一直未能得到很好解决。从依托工程中选取代表性的案例,分析总结隧道建设中常见的几种典型岩溶不良地质的属性特征,结果表明岩溶不良地质类型与探地雷达属性参数有很好相关性,其中:空腔型溶洞、干燥松散黏土夹碎石充填型溶洞和无水破碎带雷达反射波中心频率随时间衰减较慢,分布范围分别为90~105、85~100、70~110MHz;软塑状黏土充填型溶洞和富水破碎带雷达反射波中心频率随时间衰减较快,分布范围分别为60~80MHz和40~70MHz。研究属性特征定量表示方法,提出基于广义S变换及子波谱模拟的雷达波吸收衰减参数计算方法。实际数据分析结果表明:每种属性都能从某些角度反映岩溶不良地质体雷达反射波的特征,在综合多个特征参数后,可以较好地区分不同的岩溶不良地质类型,从而提高探地雷达目标识别精度。     

基于高斯束理论的有限频核函数计算

相对于常规射线层析速度建模,基于波动理论的层析速度建模考虑了波的带限特性,反演分辨率更高。波动理论层析的核心在于波路径(有限频核函数)的计算。文中详细介绍了一种基于高斯束算子计算有限频核函数的方法,分析了初始束宽度和高斯束出射角度间隔对计算精度的影响;并针对高斯束近源处误差较大的缺陷,提出了改进的束参数以提高近源精度;详细分析了初始束宽度和角度间隔对改进高斯束方法的影响及改进高斯束的聚焦特性;数值算例验证了该方法在缓变介质中计算有限频核函数的可行性,计算效率较高且可处理回折波的核函数。     

单井与群井结合抽水试验在地面沉降实测中的应用研究

以天津市某工程项目抽水试验数据为实测基本资料,目的是确定地基土的渗透性和富水性,计算含水层的水文地质参数,并实时监测试验期间地面沉降监测结果。结果表明,单井和群井抽水试验在抽水过程中,地面高程呈现出下降的趋势,累计达到最大沉降量,达到23. 57 mm,随着抽水时间较短和抽水时间较长等原因,在地面具有附加荷载时,沉降变大。因此,试验实时监测可以有效预防存在问题,为工程的设计与施工提供安全的风险控制。     

地质雷达方法在上海市轨道交通明珠线工程中的应用

地质雷达方法在上海市轨道交通明珠线工程中的应用表明,此方法在探测地下障碍物中能依靠雷达图象识别其类型、材质、深度等,有利于快速、准确定位,有一定的优越性。     

双基雷达联合探测降水廓线的研究

利用1998年淮河流域能量和水循环试验(HUBEX)中的一次地面雷达与星载雷达(简称为双基雷达)联合探测雨强的资料,比较了现有的几种测雨雷达回波衰减订正方法.选取了一条比较有代表性的降水廓线,利用地基雷达数据对其进行衰减订正.结果表明,在雨区的中上部,星载雷达探测效果优于地基雷达;从"零度层亮带”往下至近地面,地基雷达探测效果优于星载雷达.     

大西洋上四个爆发性气旋的云微物理参量垂直分布特征分析

利用CloudSat卫星数据处理中心(CloudSat Data Processing Center,CloudSat DPC)提供的CloudSat卫星数据、欧洲中期天气预报中心(European Centre for Medium-Range Weather Forecasts,ECMWF)提供的ERA5再分析资料和美国国家航空航天局(National Aeronautics and Space Administration,NASA)提供的Aqua卫星可见光云图,对冬春季发生在大西洋上四个爆发性气旋个例的云微物理参量垂直分布特征进行了分析。结果表明:爆发性气旋中心云系多为层积云或积云,中心外围云系以雨层云为主,雨层云外部往往伴随着相似高度的高层云,气旋冷锋云带内以雨层云、高层云和高积云为主,冰粒子出现的最低高度与0℃等温线高度几乎重合;冰粒子有效半径随高度的增加而减小,而冰粒子数浓度随高度增加而增大;冰水含量大值区主要位于雨层云中部;液态水主要分布在高层云和层积云底部,冬季爆发性气旋个例内的液态水含量大于春季。     

Cotton canopy reflectance under variable solar zenith angles: Implications of use in evapotranspiration models

Evapotranspiration (ET) is an important parameter in hydrologic processes and modelling. In agricultural watersheds with competing uses of fresh water including irrigated agriculture, estimating crop evapotranspiration (ET_c) accurately is critical for improving irrigation system and basin water management. The use of remote sensing-based basal crop coefficients is becoming a common method for estimating crop evapotranspiration for multiple crops over large areas. The Normalized Difference Vegetation Index (NDVI) and the Soil Adjusted Vegetation Index (SAVI), based on reflectance in the red and near-infrared bands, are commonly used for this purpose. In this paper, we examine the effects of row crop orientation and soil background darkening due to shading and soil surface wetness on these two vegetation indices through modelling, coupled with a field experiment where canopy reflectance of a cotton crop at different solar zenith angles, was measured with a portable radiometer. The results show that the NDVI is significantly more affected than the SAVI by background shading and soil surface wetness, especially in north–south oriented rows at higher latitudes and could lead to a potential overestimation of crop evapotranspiration and irrigation water demand if used for basal crop coefficient estimation. Relationships between the analysed vegetation indices and canopy biophysical parameters such as crop height, fraction of cover and leaf area index also were developed for both indices.     

Characterization of sudden and sustained base flow jump hydrologic behaviour in the humid seasonal tropics of the Panama Canal Watershed

Base flows are important for tropical regions with pronounced dry seasons, which are facing increasing water demands. Base flow generation, however, is one of the most challenging hydrological processes to characterize in the tropics. In many years during the May–December wet season in the Panama Canal Watershed (PCW), base flows in rivers abruptly increase. This increase persists until the start of the December–April dry season. Understanding this unusual base flow jump (BFJ) behaviour is critical to improve water provisioning in the seasonal tropics, especially during droughts and extended dry seasons. This study developed an integrated approach combining piecewise regression on cumulative average base flow and sensitivity analysis to calculate the timing and magnitude of BFJ. Rainfall, forest cover, mean land surface slope, catchment area, and estimated subsurface storage were tested as predictors for the occurrence and magnitude of the BFJs in seven subcatchments of the PCW. Sensitivity analysis on correlated predictors allowed ranking of predictor contributions due to isolated and cross-correlation effects. Correlations between observed BFJs and BFJs predicted by watershed and rainfall-related predictors were 0.92 and 0.65 for BFJ timing and magnitude, respectively. Forest cover was the second most significant predictor after cumulative rainfall for jump magnitude, owing to larger subsurface storage and groundwater recharge in forests than pastures. Catchments in the mountainous eastern PCW always generated larger jumps due to their higher rainfall and greater forest cover than the western PCW catchments. The cross-correlations between predictors contributed to more than 50% of the jump variances. The results demonstrate the importance of rainfall gradient and catchment characteristics in affecting the sudden and sustained BFJs, which can help inform land management decisions intended to enhance water supplies in the tropics. This study underscores the need for more research to further understand the hydrological processes involved in the BFJ phenomenon, including better BFJ models and field characterizations, to help improve tropical ecosystem services under a changing environment.     

Characterization of complex groundwater flows in the environment of singular buildings by combining hydrogeological and non-destructive geophysical (ground-penetrating radar) techniques: Punta Begoña Galleries (Getxo,Spain)

Locating and quantifying groundwater flow in many built-up areas are a priority with regard to its complete restoration. In this work, a hydrogeological survey of the surroundings of the Punta Begoña Galleries (Getxo, Bizkaia), built on a coastal cliff, was completed by using ground penetrating radar (GPR) testing. Thus, the preliminary characterization of soils and rocks in accessible areas of the cliff was first improved by hydrogeological information gathered from a single survey borehole, including permeability measurements by low pressure injection tests (LPTs) and continuous water level monitoring. As a complementary method, the non-destructive GPR technique was performed during both dry and wet hydrological periods and in tandem with the injection tests, providing more complete spatial and temporal images of water flows. Specifically, GPR allows mapping of flow paths in soils and assessing the continuity of fractures in rock masses. Altogether, this complementary approach provides greater knowledge of complex underground flow dynamics in built environments, thus making it easier to make decisions for their management.