冀中坳陷奥陶纪岩相古地理*

碳酸盐岩是冀中坳陷下古生界重要的古潜山油气储集层。研究表明,冀中坳陷奥陶系属于陆表海型台地,进一步划分为潮上带、潮间带、局限潮下和开阔潮下4个沉积亚相,以及泥云坪、膏云坪、云坪和云质潟湖等11种沉积微相,并构成了4个三级层序(SQ1~SQ4),其中SQ4仅发育海侵域。奥陶纪首次海侵期沉积的冶里期(SQ1-TST)在区内由北向南发育了开阔潮下—潮间—潮上亚相沉积。亮甲山期(SQ1-HST)主要发育潮间亚相沉积,局部为潮上亚相。下马家沟期(SQ2-TST)和上马家沟组沉积晚期(SQ3-TST)分别为第2次和第3次海侵,区内均以局限潮下和开阔潮下亚相为主,局部发育生屑滩和砾屑滩;上马家沟组沉积早期(SQ2-HST)和峰峰组沉积早期(SQ3-HST)以发育潮间和潮上亚相为主,是白云岩的稳定沉积期。峰峰组沉积晚期(SQ4-TST)记录了第4次海侵,以发育开阔潮下亚相为主,北部地区零星发育潮间云灰坪微相。受加里东构造运动影响,华北地台整体抬升,冀中坳陷奥陶系顶部受到剥蚀,直至石炭纪再次接受沉积。     

一种板内小尺度走滑断层平面分段研究方法——以塔里木盆地顺北5号断层中北段为例

近年来在顺北地区1号和5号走滑断层带上获得了重大的油气突破,证明了在塔里木盆地内发育的小尺度走滑断层对断控油气藏具有控藏、控储的特征。该类走滑断层在剖面上贯穿多套古生代地层,纵向结构复杂,在空间上为深层线性走滑叠加浅层雁列正断层的构造样式,钻井揭示在断层带上不同分段的井产能差异明显,表明走滑断层在奥陶系碳酸盐岩顶界面的分段性对油气成藏具有重要的控制作用。本文选取顺北5号断层中北段作为研究对象,针对深层不同层系线性走滑断层分段特征差异明显这一特征,基于不同尺度下断层的断距与分段长度之间的相关性及多断层演化理论,提出了利用沿着走向等间距统计断层的垂向断距变化的方法对深层线性走滑断层开展分段性研究工作,该方法综合了断层的活动强度、演化程度和剖面构造形态来分析断层的分段特征,适用于不同性质的断层分段性特征研究。研究表明5号断层中北段在奥陶系碳酸盐岩顶界面可划分为14段,在寒武系膏盐岩层顶界面可划分为10段,两个层系的断层分段性在空间上具有继承性与差异演化的特点,其中寒武系膏盐岩滑脱构造中的膏盐逃逸对油气的疏导具有破坏作用,奥陶系碳酸盐岩顶断层活动强度、分段叠接样式、断层分段不同位置对断控缝洞型储层发育规模具有重要的控制作用,揭示了断层在平面上的分段特征及纵向结构对断控缝洞型油气成藏具有重要的控制作用。     

高能级强夯法处理深厚吹填砂土地基现场试验

沿海吹填砂土地基地下水位较高、常含软土夹层,地基处理难度大。为了研究高能级强夯在这类吹填砂土地基上的加固效果,在山东沿海某吹填砂土场地开展6 000和8 000 kN·m能级强夯加固试验。试验结束后分别运用标准贯入试验、静力触探试验、平板载荷试验进行现场检测。通过对比分析了设计要求深度范围内标准贯入试验和静力触探试验,发现夯前夯后标准贯入试验击数和静力触探锥尖试验阻力均明显提升,有效消除了饱和砂土和饱和粉土的液化势;通过平板载荷试验p-s曲线及夯后静力触探锥尖阻力标准值与承载力特征值的关系式,得到夯后砂土地基承载力特征值≥120 kPa,验证了高能级强夯方案的可行性。其次,对软土夹层位置和地下水位高度展开研究,发现软土层会阻碍夯击能传递,减小强夯有效加固深度,且软土层位置不同对强夯加固效果影响程度不同,强夯影响临界范围处存在软土层时,有效加固深度为软土层顶部位置处;对砂土地基进行4 000 kN·m能级强夯试验时,发现未降水强夯后有效加固深度为5 m,降水至地面以下3 m强夯后有效加固深度达到了7 m,提高了加固效果。在高能级强夯研究基础上,对现场吹填砂土地基进行了75万m²的大面积高能级强夯施工,发现处理后地基能够满足建筑用地要求。     

Evaluation of shallow geothermal energy resources in the Beijing-Tianjin-Hebei Plain based on land use

To discover the characteristics, distribution and potential of shallow geothermal energy in the Beijing-Tianjin-Hebei Plain area. This paper, based on a large amount of data collection and field investigations, evaluateed the shallow-layer geothermal energy in the study area through the analytic hierarchy process and comprehensive index method. Based on suitability zoning results superimposed with 1:100 000 land use data, the study area is divided into encouraged, controlled, restricted and prospective mining areas regarding the development of shallow geothermal energy, and the economic availability of shallow geothermal energy in the encouraged and controlled areas are evaluated. The results show that the shallow geothermal energy in the Beijing-Tianjin-Hebei Plain can meet the heating and cooling demand of 6×108 m~2 of buildings, equivalent to 1.15×10~7 t of standard coal, thus reducing carbon dioxide emissions by 2.73×10~7 t and reducing sulfur dioxide emissions by 1.95×10~5 t. According to the development and utilization mode, the energy demand level and the Beijing-Tianjin-Hebei coordinated development plan, the development and utilization of geothermal resources in the plain area has two types: Urban concentrated mining areas and rural scattered mining areas. The scale and level of intensive utilization of regional geothermal resources are of great significance.     

Study on the Combined Application of CFAR and Deep Learning in Ship Detection

To maintain national socio-economic development and maritime rights and interests, it is necessary to obtain the space location information of various ships. Therefore, it is important to detect the locations of ships accurately and rapidly. At present, ship detection is mainly carried out by combining satellite remote sensing imaging with constant false alarm rate (CFAR) detection. However, with the rapid development of satellite remote sensing technology, remote sensing data have gradually begun to show the characteristics of “big data”; additionally, the accuracy and speed of ship detection can be improved by analysing big data, such as by deep learning. Thus, a ship detection algorithm that combines CFAR and CNN is proposed based on the CFAR global detection algorithm and image recognition with the CNN model. Compared with the multi-level CFAR algorithm that is based on multithreading, the algorithm in this paper is more suitable for application to ship detection systems.     

The Tibetan Plateau Surface–Atmosphere Coupling System and Its Weather and Climate Effects: The Third Tibetan Plateau Atmospheric Science Experiment

The Tibetan Plateau(TP) is a key area affecting forecasts of weather and climate in China and occurrences of extreme weather and climate events over the world. The China Meteorological Administration, the National Natural Science Foundation of China, and the Chinese Academy of Sciences jointly initiated the Third Tibetan Plateau Atmospheric Science Experiment(TIPEX-Ⅲ) in 2013, with an 8–10-yr implementation plan. Since its preliminary field measurements conducted in 2013, routine automatic sounding systems have been deployed at Shiquanhe, Gaize, and Shenzha stations in western TP, where no routine sounding observations were available previously. The observational networks for soil temperature and soil moisture in the central and western TP have also been established. Meanwhile, the plateau-scale and regional-scale boundary layer observations, cloud–precipitation microphysical observations with multiple radars and aircraft campaigns, and tropospheric–stratospheric air composition observations at multiple sites, were performed. The results so far show that the turbulent heat exchange coefficient and sensible heat flux are remarkably lower than the earlier estimations at grassland, meadow, and bare soil surfaces of the central and western TP. Climatologically, cumulus clouds over the main body of the TP might develop locally instead of originating from the cumulus clouds that propagate northward from South Asia. The TIPEX-Ⅲ observations up to now also reveal diurnal variations, macro-and microphysical characteristics, and water-phase transition mechanisms, of cumulus clouds at Naqu station. Moreover, TIPEX-Ⅲ related studies have proposed a maintenance mechanism responsible for the Asian "atmospheric water tower" and demonstrated the effects of the TP heating anomalies on African, Asian, and North American climates. Additionally, numerical modeling studies show that the Γ distribution of raindrop size is more suitable for depicting the TP raindrop characteristics compared to the M–P distribution, the overestimation of sensible heat flux can be reduced via modifying the heat transfer parameterization over the TP, and considering climatic signals in some key areas of the TP can improve the skill for rainfall forecast in the central and eastern parts of China. Furthermore, the TIPEX-Ⅲ has been promoting the technology in processing surface observations, soundings, and radar observations, improving the quality of satellite retrieved soil moisture and atmospheric water vapor content products as well as high-resolution gauge–radar–satellite merged rainfall products, and facilitating the meteorological monitoring, forecasting, and data sharing operations.     

Experimental and numerical investigation on the effect of moisture on coal permeability

Coalbed methane is a kind of clean energy source and also a kind of hazardous gas threatening the safety of coal mine production. Permeability is a key parameter to evaluate gas migration capability. However, the permeability is influenced by moisture content. Here, a series of seepage experiments were conducted to analyze the development tendency of flux and permeability to reveal the impact mechanism. Experimental results show that permeability tends to be a sharp drop with increasing moisture, but it had a slight fluctuation with relative gas pressure increasing under the constant mean effective stress. Considering the effect of moisture and gas sorption, a new gas–solid coupling model was developed based on experimental results and theoretical analysis and was implemented into FEM software for simulation. The numerical results of the new gas–solid coupling model were in good accordance with the experimental results and have a priority to cube law in precision. This study reveals that, on the one hand, the moisture can influence the adsorption-induced strain and, on the other hand, it can lead to a significant decrease in porosity due to pore volume occupation.     

Calcareous nannofossil changes linked to climate deterioration during the Paleocene-Eocene thermal maximum in Tarim Basin,NW China

The Paleocene-Eocene Thermal Maximum(PETM) event was a dramatic global warming w55.93 Ma ago that resulted in biological extinction events, lithological changes, and major deviations in σ13 C and σ18 O.The southwestern Tarim Basin of China exposes successive Paleogene strata as a result of Tethys evolution and is considered an ideal region for PETM research.Based on calcareous nannoplankton biostratigraphy, we also used stable isotopes and XRD to analyse the Paleocene-Eocene transition in the Tarim Basin. At the Bashibulake Section, the PETM interval is characterized by(1) an abrupt negative shifts in σ13 C_(org), σ13 C_(carb) and σ18 O(-3%, -4.5% and -3%respectively);(2) an obvious negative correlation between the K-mode(Discoaster, Fasciculithus, Ericsonia, Sphenolithus and Rhomboaster) and r-mode(Biscutum, Chiasmolithus, Toweius) nannofossil taxa coincident with a robust Rhomboaster-Discoaster assemblage; and(3) a significant increase in the percentage of detrital input along with an increase in gypsum content. In the upper part of the Qimugen Formation Micrantholithus and Braarudosphaera are commonly found right up to the top where most of the nannofloras suffer a sharp decrease. In the overlying Gaijitage Formation, calcareous nannofossils disappear completely. These events indicate that the southwestern Tarim Basin was a warm shallow continental shelf during the deposition of the Qimugen Formation. From the early Eocene, the environment changed conspicuously. Evaporation increased and sea level fell, which led to an acid climate.This climate mode continued within the youngest unit studied, the Gaijitage Formation, characterized by the deposition of thick evaporates. Consequently, most of the marine plankton, i.e. calcareous nannoplankton, became disappear, because of the significant climate shift.