低渗透储层孔隙结构影响因素及其定量评价——以准噶尔盆地金龙2地区二叠系上乌尔禾组二段为例

利用薄片、扫描电镜、物性及压汞等资料,对金龙2地区三叠系上乌尔禾组二段(P_3w_2)低渗(含砾)砂岩储层孔隙结构及其影响因素进行了研究。结果表明:①乌二段属于低孔低渗储层,根据压汞曲线参数特征,将其孔隙结构划分为三类。②成岩作用控制了储层孔隙结构,定量计算结果表明,乌二段视压实率平均为53.54%、视胶结率平均为47.53%、视溶蚀率平均为13.84%、视微孔隙率平均为60.67%,表现为中等压实、中—强胶结、弱溶蚀、微孔发育等特征;压实作用、胶结作用、微孔隙发育主要控制储层孔隙结构的形成。③引入成岩综合指数来定量表征各种成岩作用的综合强度,其与储层孔隙结构参数(排驱压力、分选系数)以及储层品质因子(RQI)具有较好的统计相关关系,Ⅰ类储层成岩综合指数大于8%,Ⅱ类储层成岩综合指数为2%～8%,Ⅲ类储层成岩综合指数小于2%。因此,可以利用成岩综合指数定量评价储层孔隙结构。     

基于模拟-优化模型的山东羊庄盆地地下水可开采量研究

为了准确量化与优化地下水水源地开采量,在分析山东羊庄盆地水资源分布特点、开发利用现状及存在问题的基础上,以区域经济发展和水资源可持续利用为前提,通过地质、水文地质资料的整理分析,建立起整个盆地地下水流概念模型;采用Visual Modflow模拟软件,并与优化模型软件Ground-Water Management Process(GWM)相耦合,以水源地开采量最大为目标,以水位不低于限定的控制水位为约束条件,评价出盆地最大可开采量为5 730万m^3/a;进而确定出宋屯、后石湾、南庄、魏庄、西石楼、许坡、龙山头、羊庄、东于、段庄以及王杭水源地的优化开采量分别为0.18万、1.40万、2.56万、1.86万、3.80万、1.70万、0.40万、0.40万、0.50万、1.40万和1.50万m^3/d。     

丹江断裂东段第四纪活动性及地震地质涵义

丹江口地区地震地质因修建丹江水库而得到深入研究,但针对断裂进行的系统性研究较少。通过对丹江断裂东段进行1：1万大比例条带状活动断裂填图,综合采用地质地貌调查、岩样年龄测试、地质钻探、浅层地震勘探等多种手段进行研究,认为：1）丹江断裂东段第四纪以来累积左旋走滑量在250~500 m之间,上更新统地层垂直断距为10~20 m;2）断裂最新活动时代为晚更新世,活动性质以由NE向SW的逆冲为主,兼具有左旋走滑分量;3）断裂活动性由山地向盆地迁移。丹江断裂晚更新世以来活动表明,南襄盆地西缘活动性较强。该认识可为进一步评估丹江口地区乃至南襄盆地西缘的地震构造环境提供依据。     

缝洞型碳酸盐岩气藏多类型储集层孔隙结构特征及储渗能力——以四川盆地高石梯-磨溪地区灯四段为例

为全面表征缝洞型碳酸盐岩气藏多类型储集层的孔隙结构特征及储渗能力,借助多种测试技术对四川盆地高石梯-磨溪地区灯四段储集层样品进行分析与研究。首先利用铸体薄片和扫描电镜技术定性刻画了储集层的岩性、物性、储集空间和喉道特征,然后根据高压压汞得到的毛管压力曲线对储集层进行分类,最后基于多尺度CT扫描定量表征了3类样品的二维、三维孔隙结构特征。结果表明：研究区储集空间既有受组构控制的粒间溶孔、粒内溶孔和晶间溶孔等,又有不受组构控制的溶洞、溶缝和构造缝;喉道以缩颈、片状和管束状为主;根据毛管压力曲线特征,储集层可划分为缝洞型、孔洞型和孔隙型;缝洞型大孔隙与溶洞发育,分布均匀且连通性好,喉道粗大且数量较多,微裂缝与溶洞串接呈串珠状分布,沟通了孤立的储集空间,具有最好的储渗能力;孔洞型多尺度孔隙与溶洞发育,储集能力强,喉道粗大但数量较少,连通性较差,各储集空间无法有效沟通,渗流能力受限;孔隙型细小孔隙发育且分布不均,大部分区域被岩石骨架占据,喉道数量少且连通性极差,储渗能力弱。     

用自然伽马测井数据估算桑托斯盆地的地层生热率

岩石生热率是研究地球内热的一个重要的参数。本文根据自然伽马与岩石生热率的关系,利用盆地4口钻井的自然伽马测井曲线,计算出桑托斯盆地主要岩石或矿物及地层的生热率。本文统计了2964个自然伽马测井数据值,主要岩石或矿物的生热率从大到小依次为：泥岩、砂岩、页岩、玄武岩、石灰岩、硬石膏和盐岩;盆地地层的生热率随深度增加显著降低,生热率体现出受控于岩性变化的特征。以S1井为例,根据岩石生热率和热流的关系,计算出盆地中各个组的生热率,Marambaia组、Itajai-Acu组、Itanhaem组、Ariri组、Guaratiba群、Camboriu组生热率分别是1.36±0.16μW/m3、1.52±0.15μW/m3、1.30±0.3μW/m3、0.46±0.18μW/m3、0.64±0.23μW/m3、0.37±0.07μW/m3,盆地沉积地层产生的热量占表层大地热流的13.62%,因此沉积地层具有一定的产热潜力,对区域有机质的成熟度有一定的影响。建立了岩石圈分层生热模型,其中地壳热流贡献为15.38mW/m2,占表层大地热流的30.76%,地幔热流贡献值为34.62mW/m2,地壳和地幔的热流比例为0.44,具有“冷壳热幔”的特征。     

Monitoring and modelling of hydrological processes in the semiarid region of Brazil: The Cariri experimental basins

Catchments have highly variable yields of runoff and soil erosion. The size, land use and the surface cover play a significant role and influence the catchment response and parameter values of simulation models. Two experimental basins—the Cariri basins—were equipped in a semi-arid region of Brazil, for obtaining runoff and sediment yield at different catchment scales, as well as, to evaluate the influence of the land use and surface cover. In the first basin, located in the municipality of Sumé, the field studies were carried out at two different scales: four micro-catchments with an area of around 0.5 ha and nine standard Wischmeier-type erosion plots of 100 m². The experimental units had varied vegetation and management. They were subjected only to natural rainfall events, and were monitored from 1982 to 1991. The total runoff and total sediment yield were determined for each of the events. The installations in the second basin, in the municipality of São João do Cariri, from 1999, include two erosion plots, three micro-catchments, and two sub-catchments of a small basin. These basins are still being monitored for runoff and sediment production. Among the micro-catchments two are nested to detect any scale effect at the micro-catchment level. Nearly 600 events of precipitation, that produced runoff in at least one of the experimental units, have been registered. These data have been used to evaluate the influence of various factors, including cultivation practices and to calibrate hydrological models for plots and micro-catchments. Parameters have been tested by means of cross validations among micro-catchments and sub-catchments. The data sets are made available to all the catchment hydrology researchers and others at https://doi.org/10.5281/zenodo.4690886 .     

太行山东麓汤西断裂南段活动特征分析

采用槽探、年代样品测试、阶地调查和形变测量监测等方法，对太行山东麓汤西断裂南段进行研究，分析其活动特征。结果表明，汤西断裂发育于中更新世，历经多次活动，断裂并未上延到上更新统地层中，其南段的活动强度较高，最新活动年代为中更新世；汤西断裂西代村场地的垂直形变监测（1999~2014年）结果存在异常，综合监测点数据和区域新构造特征分析发现，该异常可能是研究区区域形变场的反映，并非由汤西断裂活动引起。     

Impact of flooded rice paddy on remotely sensed evapotranspiration in the Krishna River basin,India

Evapotranspiration (ET) is one of the major water exchange processes between the earth's surface and the atmosphere. ET is a combined process of evaporation from open water bodies, bare soil and plant surfaces, and transpiration from vegetation. Remote sensing-based ET models have been developed to estimate spatially distributed ET over large regions, however, many of them reportedly underestimate ET over semi-arid regions (Jamshidi et al., Journal of Hydrometeorology, 2019, 20, 947–964). In this work, we show that underestimation of ET can occur due to the open water evaporation from flooded rice paddies ignored in the existing ET models. To address the gap in ET estimation, we have developed a novel approach that accounts for the missing ET component over flooded rice paddies. Our method improved ET estimates by a modified Penman-Monteith algorithm that considered the fraction of open water evaporation from flooded rice paddies. Daily ET was calculated using ground based meteorological data and the MODIS satellite data over the Krishna River Basin. Seasonal and annual ET values over the Krishna Basin were compared with two different ET algorithms. ET estimates from these two models were also compared for different crop combinations. Results were validated with flux tower-based measurements from other studies. We have identified a 17 mm/year difference in average annual ET over the Krishna River Basin with this new ET algorithm. This is very critical in basin scale water balance analysis and water productivity studies.     

Assessing basin storage: Comparison of hydrometric- and tracer-based indices of dynamic and total storage

Storage is a fundamental but elusive component of drainage basin function, influencing synchronization between precipitation input and streamflow output and mediating basin sensitivity to climate and land use/land cover (LULC) change. We compare hydrometric and isotopic approaches to estimate indices of dynamic and total basin storage, respectively, and assess inter-basin differences in these indices across the Oak Ridges Moraine (ORM) region of southern Ontario, Canada. Dynamic storage indices for the 20 study basins included the ratio of baseflow to total streamflow (baseflow index BFI), Q ₉₉ flow and flow duration curve (FDC) slope. Ratios of the standard deviation of the streamflow stable isotope signal relative to that of precipitation were determined for each basin from a 1 year bi-weekly sampling program and used as indicators of total storage. Smaller ratios imply longer water travel times, smaller young water fractions (F _yw, < ~2–3 months in age) in streamflow and greater basin storage. Ratios were inversely related to BFI and Q ₉₉, and positively related to FDC slope, suggesting longer travel times and smaller F _yw for basins with stable baseflow-dominated streamflow regimes. Inter-basin differences in all indices reflected topographic, hydrogeologic and LULC controls on storage, which was greatest in steep, forest-covered headwaters underlain by permeable deposits with thick and relatively uniform unsaturated zones. Nevertheless, differential sensitivity of indices to controls on storage indicates the value of using several indices to capture more completely how basin characteristics influence storage. Regression relationships between storage indices and basin characteristics provided reasonable predictions of aspects of the streamflow regime of test basins in the ORM region. Such relationships and the underlying knowledge of controls on basin storage in this landscape provide the foundation for initial predictions of relative differences in streamflow response to regional changes in climate and LULC.     

Prediction of vegetation anomalies over an inland river basin in north‐western China

Vegetation cover plays an important role in linking the atmosphere, water, and land and is deemed as a key indicator in the terrestrial ecological system. Therefore, it is of great importance to monitor vegetation dynamics and understand the mechanisms of vegetation change, including that driven by climate change. This study examines (a) the evolution of vegetation dynamics over the Heihe River Basin in the typical arid zone in north‐western China using nonparametric Mann–Kendall test and Thiel Sen's slope; (b) the relationships between remotely sensed vegetation indices (normalized difference vegetation index [NDVI] and enhanced vegetation index [EVI]) and hydroclimatic variables based on correlation analysis; and (c) the prediction of vegetation anomalies using a multiple linear regression model. For the analysis, the Moderate Resolution Imaging Spectroradiometer NDVI/EVI product and the gridded daily meteorological data at a spatial resolution of 0.125° over the period 2001–2010 are considered. The results indicate that vegetation cover improved over a large proportion during 2001–2010, with a significant trend towards warm and wet, characterized by an increase in average annual temperature and precipitation by 0.042 °C/year and 5.8 mm/year, respectively. We test the feasibility of NDVI and EVI in quantifying the responses of vegetation anomaly to climate change and develop a statistical model to predict vegetation dynamics in the basin. The NDVI‐based model is found to be more reliable than the EVI‐based model, partly due to the vegetation characteristics and geomorphologic properties of the study region. The proposed model performs well when there is no lag time between meteorological factors and vegetation indices for grassland and cropland, whereas 1‐month lead time prediction is found to be best for forest. The soil water content is introduced as an extra explanatory variable, which effectively improves the prediction accuracy for different land use types. In general, the predictive ability of the proposed model is stable and satisfactory, and the model can provide useful early warning information for regional water resources management under changing climate.