松辽盆地北部三肇凹陷升554断块特低渗油气储层流动单元研究

油气储层流动单元在高、中、低渗储层表征中已经得到普遍应用,但在特低渗储层研究中仍然很少涉及.以松辽盆地北部三肇凹陷升554断块下白垩统泉头组四段扶余油层特低渗储层为例,划分出E、G、P三种流动单元类型,从E类至P类流动单元,渗流能力逐渐减小.流动单元物性特征、空间分布特征均表明流动单元储层非均质性较强.分析了沉积相及开...     

Predicting Terrestrial Flagstone Reservoirs in the Sha-I Member of the Qibei Depression in the Dagang Oilfield

There are few 3-D seismic profiles and drillings in the middle part of the Qibei depression in the Dagang oilfield, and more than 70% of the 2-D seismic profiles were completed before the 1980s. Meanwhile, changes in the terrestrial formations in this region have been large and complex. These factors have made it difficult to predict reservoirs in this area. The purpose of this paper is to establish a methodology for predicting potential gas and oil reservoirs. Our research combines sequence stratigraphy, well-logs, and seismic analysis to elucidate the prediction of flagstone reservoirs in the S1 (Sha-I) Member in the middle of the Qibei depression. Previous research indicates that these rocks were deposited in an environment that had a semiarid, northern subtropical, and warm, humid climate. The objective strata currently consist mainly of lake fades, deeper lake facies, and shore-shallow lake facies. The study reveals that the lower section of the S1 Member is an important objective region for explora     

Deepwater Ventilation and Stratification in the Neogene South China Sea

Combined data of physical property, benthic foraminifera, and stable isotopes from ODP Sites 1148, 1146, and 1143 are used to discuss deep water evolution in the South China Sea (SCS) since the Early Miocene. The results indicate that 3 lithostratigraphic units, respectively corresponding to 21-17 Ma, 15-10 Ma, and 10-5 Ma with positive red parameter (a*) marking the red brown sediment color represent 3 periods of deep water ventilation. The first 2 periods show a closer link to contemporary production of the Antarctic Bottom Water (AABW) and Northern Component Water (NCW), indicating a free connection of deep waters between the SCS and the open ocean before 10 Ma. After 10 Ma, red parameter dropped but stayed higher than the modern value (a*=0), the CaCO3 percentage difference between Site 1148 from a lower deepwater setting and Site 1146 from an upper deepwater setting enlarged significantly, and benthic species which prefer oxygen-rich bottom conditions dramatically decreased. Coupled with a major negative excursion of benthic δ13C at ~10 Ma, these parameters may denote a weakening in the control of the SCS deep water by the open ocean. Probably they mark the birth of a local deep water due to shallow waterways or rise of sill depths during the course of sea basin closing from south to east by the west-moving Philippine Arc after the end of SCS seafloor spreading at 16-15 Ma. However, it took another 5 Ma before the dissolved oxygen approached close to the modern level. Although the oxygen level continued to stabilize, several Pacific Bottom Water (PBW) and Pacific Deep Water (PDW) marker species rapidly increased since ~6 Ma, followed by a dramatic escalation in planktonic fragmentation which indicates high dissolution especially after ~5 Ma. The period of 5-3 Ma saw the strongest stratified deepwater in the then SCS, as indicated by up to 40% CaCO3 difference between Sites 1148 and 1146. Apart from a strengthening PDW as a result of global cooling and ice cap buildup on northern high latitudes, a deepening sea basin due to stronger subduction eastward may also have triggered the influx of more corrosive waters from the deep western Pacific. Since 3 Ma, the evolution of the SCS deep water entered a modern phase, as characterized by relative stable 10% CaCO3 difference between the two sites and increase in infaunal benthic species which prefer a low oxygenated environment. Thesubsequent reduction of PBW and PDW marker species at about 1.2 Ma and 0.9 Ma and another significant negative excursion of benthic δ13C to a Neogene minimum at ~0.9 Ma together convey a clear message that the PBW largely disappeared and the PDW considerably weakened in the Mid-Pleistocene SCS. Therefore, the true modern mode SCS deep water started to form only during the "Mid-Pleistocene climatic transition" probably due to the rise of sill depths under the Bashi Strait.     

深部地质钻探钻进过程流式大数据分析与动态预处理——以辽宁丹东3000 m科学钻探工程为例

深部地质钻探钻进过程数据价值密度低,传统方法难以在钻中流式大数据条件下有效去除尖峰、毛刺等各类钻进过程数据噪声。本文提出一种深部地质钻探钻进过程流式大数据分析与动态预处理方法,并成功应用于辽宁丹东3000 m科学钻探工程。首先,深入分析过程工艺和数据处理需求,建立深部地质钻探钻进过程流式大数据分析与动态预处理框架结构;然后,运用限幅滤波结合过程数据分布特征、司钻/机长人工操作经验去除过程数据中的离群值;接着,引入滑动窗口策略对流式钻进大数据进行动态处理,在每个窗口中运用Savitzky Golay滤波进一步提升数据质量。仿真实验和工程应用结果验证了本文方法具有很好的工程适用性和有效性。     

西北干旱区深层岩溶地下水系统的水化学-同位素研究--以宁南“南北古脊梁”岩溶水系统为例

运用构造控水分析、水化学同位素等方法，对宁南“南北古脊梁”岩溶裂隙水系统进行了深入的分析与讨论。本区储水空间以岩溶裂隙为主，岩溶水的空间分布明显受南北向大型断裂构造控制。岩溶地下水以大气降水起源为主，并表现为多元水混合。水质分布呈南优北劣的分带特征，北部水-岩相互作用形式为溶滤-蒸发浓缩型，呈高矿化咸水；南部为溶滤-混合型，呈低矿化淡水。根据水动力场和水化学场特征，划分了3个相对独立的岩溶水子系统。     

Characteristics, Formation Periods, and Controlling Factors of Tectonic Fractures in Carbonate Geothermal Reservoirs: A Case Study of the Jixianian System in the Xiong’an New Area, China

As typical carbonate geothermal reservoirs with low porosity in northern China, the Jixianian System in the Xiong’an New Area is the main target for geothermal fluid exploration. The Jixianian System comprises the Gaoyuzhuang, Yangzhuang, Wumishan, Hongshuizhuang, and Tieling formations. The characteristics, formation periods, and controlling factors of reservoir tectonic fractures have been determined based on analyses of outcrops, cores, thin sections, and image logs. The results show that unfilled fractures account for over 87% and most tectonic fractures are high-angle shear fractures with angles concentrated at 40° to 70° and the fracture porosity increases linearly with an increased fracture aperture. Within the same tectonic setting and stress field, the lithology and layer thickness are the dominant factors governing the development of tectonic fractures, which are the most developed in dolomites and thin layers. Tectonic fractures were most likely formed in regions near faults or areas with larger stress gradients. The tectonic fractures in the carbonate geothermal reservoirs are roughly divided into four sets: NNW–SSE and NNE–SSW oriented ‘X’-conjugated shear fractures formed from the Paleozoic to the pre-Yanshanian Movement; NE–SW-oriented shear fractures, formed in episode B of the Yanshanian Movement, occurred at the Early Cretaceous; nearly E–W-oriented tensional fractures formed in the late Yanshanian Movement at the Late Cretaceous to Paleogene, and NEE–SW-oriented shear fractures formed during the Himalayan movement.     

20世纪北大西洋温盐环流的年代际变化试评估

根据相对丰富的大气器测资料,综合前人对有限的海洋资料的诊断分析,从北大西洋涛动(NAO)变率、表层海温(SST)变率、格陵兰海和拉布拉多海的深对流活动长期变化等不同角度,对20世纪大洋温盐环流(Thermohaline Circulation,THC)变率进行了试评估.结果表明:(1)19世纪末以来,大西洋温盐环流的变化可分为4个时期:1900年以前的一段时期,THC较强;1904年到1930年,THC较弱;1931年到1972年,THC较强;1973年至1995年,THC较弱,目前则又有所增强.(2)与THC的变化相联系,大西洋主要气候要素的变化,相互间存在着某种协调关系,THC强,NAO弱,北大西洋北部SST升高,格陵兰海的对流活动增强,拉布拉多海的对流活动则减弱.     

利用TRMM PR和IGRA探测分析的拉萨降水云内大气温湿廓线特征

利用热带测雨卫星测雨雷达(TRMM PR)降水回波反射率因子廓线(降水率廓线)与全球探空大气温湿廓线(IGRA)的多年融合资料,研究了青藏高原拉萨站夏季降水结构及相应的大气温湿结构特征。结果表明,该站降水回波反射率因子分布在17~45 dBz,大部分小于26 dBz;回波顶高度达17 km,呈现“瘦高”外形;相应的大气低层湿润,降水云内大气并非饱和,但温度露点差比全部状态时的值小。深厚降水系统的回波外形也呈现“瘦高”,按照降水率随高度的非线性变化,其垂直结构可分为三层,而浅薄降水系统的垂直结构呈现一层,即平均降水率斜率随高度呈对数线性变化,最大平均降水率(0.7 mm·h^-1)出现在地面。深厚降水与浅薄降水云体内400 hPa高度(7.5 km)上下的露点温度递减的速率不同。降水云体内的零度层高度大约6.3 km,但PR没有探测到零度层亮带。统计结果还表明拉萨探空站及附近的大气可降水量为20.89 mm·d^-1,降水转化率为27.0%,深厚降水系统的降水转化率是浅薄降水系统的2.9倍,深厚降水系统和浅薄降水系统的CAPE值分别为1941.7 J·kg^-1和1451.8 J·kg^-1。本研究结果为模式模拟青藏高原降水云内的温湿结构提供了观测依据。     

筑坝拦截对黑河河道沉积物粒度空间分布的影响

河流沉积物对流域环境变化具有敏感响应,其粒度参数能反映沉积环境中物质来源和水动力环境.本文以黑河流域上中游为研究区域,探究河流沉积物粒度对流域环境变化的响应.从黑河上中游干流22个主要控制断面采集河床沉积物样品,采用筛分法和吸管法对沉积物样品粒度参数进行测定,并分析其空间分布规律对筑坝拦截为主的环境改变响应.研究结果表明：受梯级水库建设影响,黑河上中游泥沙粒径大小差异显著.干流库区泥沙粒径较自然河段明显减小,分选很好,呈正偏或极正偏尖锐分布,而且在库区不同沉积高度上表现出分层沉积特征;坝下游河段因遭受强烈冲刷,较自然河段泥沙粒径粗化显著,分选变差,偏态趋向极正偏,峰态尖锐化;水库回水区受水库壅水及下泄清水的双重制约,泥沙粒度参数介于自然河段和坝下游河段之间,整体分选中等,呈极正偏尖锐分布;沉积环境分析表明,上游支流河段沉积物粒度特征受泥沙供给和物源特征的影响较水动力条件显著,干流河段沉积物粒度特征主要受水动力条件控制.研究结果既符合河流上中游沉积物粒度分布规律,也反映了河流环境变化对沉积物粒度组成的影响.     

Semantic segmentation of high spatial resolution images with deep neural networks

Availability of reliable delineation of urban lands is fundamental to applications such as infrastructure management and urban planning. An accurate semantic segmentation approach can assign each pixel of remotely sensed imagery a reliable ground object class. In this paper, we propose an end-to-end deep learning architecture to perform the pixel-level understanding of high spatial resolution remote sensing images. Both local and global contextual information are considered. The local contexts are learned by the deep residual net, and the multi-scale global contexts are extracted by a pyramid pooling module. These contextual features are concatenated to predict labels for each pixel. In addition, multiple additional losses are proposed to enhance our deep learning network to optimize multi-level features from different resolution images simultaneously. Two public datasets, including Vaihingen and Potsdam datasets, are used to assess the performance of the proposed deep neural network. Comparison with the results from the published state-of-the-art algorithms demonstrates the effectiveness of our approach.