珠江口盆地恩平凹陷CO2成藏特征与成藏过程

珠江口盆地恩平凹陷北部潜山披覆带首次发现了规模富集的CO_2气层,但分布局限,平面上主要分布在A油田1井区,纵向上主要分布在珠江组上段,其次是珠海组,其他层系和构造高点未见CO_2富集。CO_2气藏含量普遍在92%以上,δ~(13)C为-8.735‰~-3.024‰,~3He/~4He介于5.75×10~(-6)~8.16×10~(-6)之间,为典型的幔源火山成因。由于A油田周边数十千米内无火山发育,且CO_2含量从深到浅逐渐降低,而位于A油田南侧的F_4断裂是在先存基底断裂基础上新生代持续活动的断裂,向下切入基底数千米,向上断至粤海组,活动强度大,故推测F_4深大断裂是A油田CO_2气藏的气源断裂。A油田油气成藏过程具有"两种原油类型、两期原油充注、一期CO_2驱油远藏"的特点,CO_2充注驱油增强了油气二次运移的动力,促进了油气的长距离运聚,扩大了恩平凹陷乃至整个珠江口盆地北部断阶带的勘探层系和勘探边界。     

Br/Cl ratio,Zn and radon constraints on the origin and fate of geothermal fluids in the coastal region of southeastern China

Low-to-medium temperature geothermal fluids in the granite regions of southeastern China are an important renewable energy resource, but they are also a source of contamination containing highly toxic elements such as fluoride and arsenic. This study analyzed the origin of the geothermal fluids in a regional-scale hydrogeological unit in the city of Xiamen, China, based on isotope and hydrochemical analyses. The Br/Cl ratios suggested that the inland geothermal fluid is merely recharged by rainwater from the mountain edge, while the coastal geothermal fluid is originally recharged by the seawater and later mixed with rain-derived groundwater. The geothermal water featured high SiO₂ and detectable Zn concentrations. The former reflects the significant water–granite interaction along the flow path, and the latter indicates the active hydraulic connection between surface waters, shallow aquifers and deep geothermal fluids. High radon content was detected near the deep conductive fault adjacent to a geothermal well, demonstrating that the fault damage zone acts as a major conduit for upward transport of the deep geothermal fluid. As a result, the fault damage zones developed in the granite are necessary for the formation of geothermal water, which leads to the uneven distribution of geothermal water in the subsurface. High-temperature geothermal water can be found in those regions with fairly sparse fault damage zones. In contrast, in the region with high-density fault activities, the active communication between shallow cool water and deep geothermal fluids can decrease the water temperature.

     

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.     

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.