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51.
During the time taken for seismic data to be acquired, reservoir pressure may fluctuate as a consequence of field production and operational procedures and fluid fronts may move significantly. These variations prevent accurate quantitative measurement of the reservoir change using 4D seismic data. Modelling studies on the Norne field simulation model using acquisition data from ocean-bottom seismometer and towed streamer systems indicate that the pre-stack intra-survey reservoir fluctuations are important and cannot be neglected. Similarly, the time-lapse seismic image in the post-stack domain does not represent a difference between two states of the reservoir at a unique base and monitor time, but is a mixed version of reality that depends on the sequence and timing of seismic shooting. The outcome is a lack of accuracy in the measurement of reservoir changes using the resulting processed and stacked 4D seismic data. Even for perfect spatial repeatability between surveys, a spatially variant noise floor is still anticipated to remain. For our particular North Sea acquisition data, we find that towed streamer data are more affected than the ocean-bottom seismometer data. We think that this may be typical for towed streamers due to their restricted aperture compared to ocean-bottom seismometer acquisitions, even for a favourable time sequence of shooting and spatial repeatability. Importantly, the pressure signals on the near and far offset stacks commonly used in quantitative 4D seismic inversion are found to be inconsistent due to the acquisition timestamp. Saturation changes at the boundaries of fluid fronts appear to show a similar inconsistency across sub-stacks. We recommend that 4D data are shot in a consistent manner to optimize aerial time coverage, and that additionally, the timestamp of the acquisition should be used to optimize pre-stack quantitative reservoir analysis.  相似文献   
52.
围绕影响轨道精度和实时性的5个要素(模糊度分类固定、测站数量、定轨弧长、太阳光压模型和多系统组合)展开研究,得出区域测站分布下的定轨优选策略。实验表明,选取中国区域27个均匀分布的地面区域监测站,利用72 h弧长观测数据,采用ECOM 5参数简化太阳光压摄动模型、BDS/GPS双系统联合定轨可达到较好的精度,其中GEO卫星轨道精度约291 cm,IGSO/MEO卫星轨道精度优于11 cm。若BDS单系统采用上述策略进行定轨,也可达到GEO卫星299 cm和IGSO/MEO卫星14.4 cm的近似等价定轨精度。  相似文献   
53.
颗粒物粒径分布(Particle Size Distribution, PSD)代表了颗粒物浓度与颗粒物粒径之间的关系, 影响着海洋生态环境和水体光学特性等。文章基于2016年夏季航次调查的生物光学剖面数据, 研究了南海海盆海域PSD的分布特征。研究发现, 幂律函数可以较好地拟合南海海盆区域的PSD, 对数空间中的实测的PSD与模拟的PSD平均决定系数高达0.95。PSD斜率(ξ)的分布范围为[1.27, 7.65], 均值为3.93±0.56。南海海盆区域表层水体的ξ均值与全球大洋表层水体的ξ均值相近, 但高于海湾等表层水体的ξ均值。ξ能较好地表征颗粒物平均粒径DA的大小, 两者存在明显负相关关系, 即ξ值越高, DA越小; 反之, DA越大。通过分析T1断面的生物光学剖面数据及总体平均的PSD剖面数据, 发现PSD剖面分布特征如下: 1)表层水体的ξ值相对较高, 且DA值相对较低, 推测可能是由于微微型藻类为主导颗粒物所致; 2) ξ值极小值层出现在次表层叶绿素浓度极大值层(Subsurface Chlorophyll Maximum Layer, SCML)中, 并伴随DA极大值层的出现, 其原因可能是SCML中的大粒径浮游植物占比显著增加; 3)弱光层中的ξ值较SCML中的高, 但略低于表层的ξ值, 而DA则位于表层与SCML的DA之间, 这可能与浮游植物及其碎屑的絮凝、分解、沉降等过程相关。PSD特征影响着海水的固有光学特性, 分析发现: 由于SCML中的叶绿素浓度增加, 颗粒物散射系数(bp(532))和颗粒物后向散射系数(bbp(532))也相应呈现显著增加的趋势。弱光层中的平均bp(532)与平均bbp(532)最小。ξ与颗粒物衰减光谱斜率之间呈高分散性, Boss 等(2001b)的模型适合用于粗略估算区域性的ξ分布范围及均值。  相似文献   
54.
在无气象数据的条件下,提出一种基于集合经验模态分解(EEMD)和季节性自回归移动平均模型(SARIMA)的对流层延迟(ZTD)预报新方法,并分别选取长春、上海、乌鲁木齐3个地区4个季节的ZTD数据进行预测分析。结果表明,基于EEMD-SARIMA的ZTD改正预报模型能够满足不同地区、不同季节下的ZTD估计需求,是一种高精度的ZTD预报方法。  相似文献   
55.
以中国地壳运动观测网络1999、2001、2004和2007年4期GPS观测数据为边界条件,使用非连续接触有限元技术构建陇西块体二维有限元模型,在摩擦系数不确定性分析基础上,计算区内主要断裂带滑动速率。结果表明,现今地壳形变运动状态下陇西块体的北东向运动在海原断裂附近受到鄂尔多斯块体、阿拉善块体阻碍,陇西块体周缘的海原断裂带、老虎山断裂、西秦岭北缘断裂呈现左旋走滑特征,滑动速率为3.5 mm/a、2.2 mm/a和1.9 mm/a,说明在青藏高原推挤作用下以上关键部位正在进行快速的构造应变积累。  相似文献   
56.
出露于大汶口盆地的临沂组为一套第四系松散堆积物,上部以土黄色、灰黄色含砂质粉砂、粉砂质粘土为主,下部为砂砾石层,是大汶口盆地内河流演化过程中的沉积响应和物质记录。通过对临沂组进行研究,可以反演大汶口盆地第四纪以来的沉积区水动力环境、物质运移方式和沉积环境。该文在区域地质调查工作的基础上,结合粒度分析频率曲线、概率累积曲线、粒度参数和沉积物宏观特征,对临沂组的沉积相、沉积环境和沉积韵律进行了研究。研究表明,大汶口地区临沂组下部为河床亚相边滩沉积微相,上部为河漫亚相河漫滩沉积微相,经历了由简单高能→复杂中能-中低能→简单中低能→复杂中低能的水动力沉积环境变化。另外依据岩石组合特征,将其划分为4个明显的沉积韵律和1个不明显的沉积韵律组。  相似文献   
57.
分析现阶段伽利略空间信号的精度,并评估伽利略广播星历及其对单点定位的影响。统计30 d健康卫星广播星历,结果表明,FOC和IOV两种类型的广播星历卫星轨道误差优于0.8 m,并且径向误差最小,法向误差次之,切向误差最大;伽利略卫星的钟差误差精度达到1.0 ns;从空间信号测距误差对伽利略卫星进行整体分析,广播星历精度优于1.0 m,FOC与IOV卫星精度相当;用广播星历进行事后单点定位的精度可以达到dm级。  相似文献   
58.
In the present study, a semi‐distributed hydrological model soil and water assessment tool (SWAT) has been employed for the Ken basin of Central India to predict the water balance. The entire basin was divided into ten sub basins comprising 107 hydrological response units on the basis of unique slope, soil and land cover classes using SWAT model. Sensitivity analysis of SWAT model was performed to examine the critical input variables of the study area. For Ken basin, curve number, available water capacity, soil depth, soil evaporation compensation factor and threshold depth of water in the shallow aquifer (GWQ_MN) were found to be the most sensitive parameters. Yearly and monthly calibration (1985–1996) and validation (1997–2009) were performed using the observed discharge data of the Banda site in the Ken basin. Performance evaluation of the model was carried out using coefficient of determination, Nash–Sutcliffe efficiency, root mean square error‐observations standard deviation ratio, percent bias and index of agreement criterion. It was found that SWAT model can be successfully applied for hydrological evaluation of the Ken basin, India. The water balance analysis was carried out to evaluate water balance of the Ken basin for 25 years (1985–2009). The water balance exhibited that the average annual rainfall in the Ken basin is about 1132 mm. In this, about 23% flows out as surface run‐off, 4% as groundwater flow and about 73% as evapotranspiration. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   
59.
正20141900Lan Xianhong(Key Laboratory of Marine Hydrocarbon Resources and Environmental Geology,Ministry of Land and Resources,Qingdao 266071,China);Zhang Zhixun Geochemical Characteristics of Trace Elements of Sediments from Drillhole SFK-1  相似文献   
60.
Arctic river basins are amongst the most vulnerable to climate change. However, there is currently limited knowledge of the hydrological processes that govern flow dynamics in Arctic river basins. We address this research gap using natural hydrochemical and isotopic tracers to identify water sources that contributed to runoff in river basins spanning a gradient of glacierization (0–61%) in Svalbard during summer 2010 and 2011. Spatially distinct hydrological processes operating over diurnal, weekly and seasonal timescales were characterized by river hydrochemistry and isotopic composition. Two conceptual water sources (‘meltwater’ and ‘groundwater’) were identified and used as a basis for end‐member mixing analyses to assess seasonal and year‐to‐year variability in water source dynamics. In glacier‐fed rivers, meltwater dominated flows at all sites (typically >80%) with the highest contributions observed at the beginning of each study period in early July when snow cover was most extensive. Rivers in non‐glacierized basins were sourced initially from snowmelt but became increasingly dependent on groundwater inputs (up to 100% of total flow volume) by late summer. These hydrological changes were attributed to the depletion of snowpacks and enhanced soil water storage capacity as the active layer expanded throughout each melt season. These findings provide insight into the processes that underpin water source dynamics in Arctic river systems and potential future changes in Arctic hydrology that might be expected under a changing climate. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   
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