塔里木盆地寒武—奥陶系主要白云岩类型及孔隙发育特征

塔里木盆地寒武系和下奥陶统白云岩广泛发育,岩石类型复杂多样。按照结构和特殊构造两大分类依据,文中将研究区白云岩归为6大类,即泥-粉晶白云岩(又按含膏与否进一步分为含膏泥-粉晶白云岩和不含膏泥-粉晶白云岩)、粉-细晶白云岩、中-粗晶白云岩、斑状白云岩、藻纹层白云岩和膏溶角砾白云岩。每类白云岩都可以其独具特色的晶体结构和/或沉积构造与其他类型相区分。在这些白云岩中发育的孔隙类型主要有6种,即窗格孔、铸模孔、晶间孔、溶孔、角砾孔及砾间溶孔和缝合线孔,其中除窗格孔为原生孔隙外,其余均属次生孔隙。就其储集意义而言,以溶孔和晶间孔最为重要,次为角砾孔及砾间溶孔,而铸模孔和窗格孔的储集意义相对次要。缝合线孔的意义主要有二:一是可改善储集岩的渗透性,二是与斑状白云岩配合还可能构成有效储集岩。     

Ablation Characteristic of Ilmenite using UV Nanosecond and Femtosecond Lasers: Implications for Non‐Matrix‐Matched Quantification

Ilmenite (FeTiO₃) is a common accessory mineral and has been used as a powerful petrogenetic indicator in many geological settings. Elemental fractionation and matrix effects in ilmenite (CRN63E‐K) and silicate glass (NIST SRM 610) were investigated using 193 nm ArF excimer nanosecond (ns) laser and 257 nm femtosecond (fs) laser ablation systems coupled to an inductively coupled plasma‐mass spectrometer. The concentration‐normalised ⁵⁷Fe and ⁴⁹Ti responses in ilmenite were higher than those in NIST SRM 610 by a factor of 1.8 using fs‐LA. Compared with the 193 nm excimer laser, smaller elemental fractionation was observed using the 257 nm fs laser. When using 193 nm excimer laser ablation, the selected range of the laser energy density had a significant effect on the elemental fractionation in ilmenite. Scanning electron microscopy images of ablation craters and the morphologies of the deposited aerosol materials showed more melting effects and an enlarged particle deposition area around the ablation site of the ns‐LA‐generated crater when compared with those using fs‐LA. The ejected material around the ns crater predominantly consisted of large droplets of resolidified molten material; however, the ejected material around the fs crater consisted of agglomerates of fine particles with ‘rough' shapes. These observations are a result of the different ablation mechanisms for ns‐ and fs‐LAs. Non‐matrix‐matched calibration was applied for the analysis of ilmenite samples using NIST SRM 610 as a reference material for both 193 nm excimer LA‐ICP‐MS and fs‐LA‐ICP‐MS. Similar analytical results for most elements in ilmenite samples were obtained using both 193 nm excimer LA‐ICP‐MS at a high laser energy density of 12.7 J cm^?2 and fs‐LA‐ICP‐MS.     

乍得Doseo盆地烃源岩评价与油源分析

中非裂谷系Doseo盆地是中石油海外重点勘探区块之一,目前油气勘探程度极低.本文基于Ximenia-1井和Kapok-1井131件岩屑和8件原油样品的系统有机地球化学分析,明确了研究区烃源岩生烃潜力和油气来源.由于受中非构造剪切带活动的影响,在Doseo盆地下白垩统Doba组、Kedeni组和Mangara组发育了半深湖—深湖相的优质烃源岩,其累计厚度可达500 m,烃源岩有机质丰度高(TOC＞3％),有机质类型好(Ⅱ1～Ⅰ型),但有机质成熟度整体偏低(钻遇烃源岩R.介于0.4％～0.8％之间),仅局部达到生排烃高峰阶段.分子标志化合物对比分析表明:原油成熟度普遍高于钻遇烃源岩成熟度,现有油气发现主要源自凹陷中Kedeni组下部或Mangara组上部成熟优质烃源岩,Doba组烃源岩未成熟,油气贡献有限.该研究成果有助于指导下一步油气勘探,助推油气规模储量发现.     

中国海相油气田勘探实例之十三 塔里木盆地东河塘海相砂岩油田勘探与发现

东河塘油田位于新疆库车县,构造上隶属于塔里木盆地塔北隆起轮台凸起东河塘断裂构造带,是我国发现的第一个高产高丰度海相砂岩油田,它的发现是中国海相砂岩油气勘探理论和实践的一次重大突破。油田发现于1990年7月,至1994年探明石油地质储量3323.13×104t,天然气地质储量15.5×108m3,至2009年底累计产原油825.75×104t。石炭系东河砂岩油藏是东河塘油田的主体,其储层东河砂岩段是一套滨岸相砂体,具有厚度巨大、埋深大、储集性能好的特点;其油藏类型为块状底水背斜油藏,产能高,储量丰度高。论述了东河塘油田勘探与发现的历程,剖析了取得勘探成功的实践认识与意义。     

甘肃东沟金矿床地质矿化特征及找矿方向

东沟构造蚀变岩-石英脉型金矿床,位于关子镇-元家坪和娘娘坝-舒家坝两条韧性剪切带与天子山和磨扇沟花岗岩体的夹持区,金矿化严格受其次级近EW向断裂控制,后期断裂构造对矿体具一定破坏作用。矿石类型地表以构造蚀变岩型为主,向深部过渡为石英脉型,褐铁矿、黄铁矿、毒砂是主要载金矿物。围岩蚀变以硅化、褐铁矿化、黄铁矿化、绢云母化为特征。中基性火山岩、韧脆性断裂构造、中酸性岩浆侵入“三位一体”是控制矿床形成的基本条件,近EW向断裂蚀变带及延伸部位是找矿有利地段。     

新一代天气雷达灾害性天气警报和短时预报系统

由中国气象科学研究院主持，北京、湖北、广东、安徽和厦门等省市气象局科研人员参与的以多普勒天气雷达实时观测资料为基础的新一代天气雷达灾害性天气警报和短时预报系统于2006年底完成，建立了一整套回波特征参数定量提取技术、风场反演技术、灾害性天气自动识别技术以及自动和人机交互的0～2h暴雨、大风、冰雹的预报和0～2h降水预报技术。     

远离绿洲的沙漠近地面观测实验

通过比较远离经录洲沙漠区与临近绿洲沙漠区近地面的观测资料，发现临近绿洲沙漠区的逆湿现象主要是受到绿洲干扰的影响，沙漠地区地气之间能量交换主要由感热控制，潜热能量可以忽略不计，两个沙漠地区感热通量基本相当。ＨＥＩＦＥ中沙漠或戈壁观测到的能量收支过程基本上能够代表干旱地区的特征。     

南城自动站土壤水分资料的统计学订正分析

对2006—2009年南城站5—10cm、10—20cm、20—30cm、30—40cm和40—50cm等5个土层各90组样本的HYA-SF型土壤水分自动观测数据与同期人工观测数据进行了偏差与相关性分析,采用线性方程建立拟合模式,对自动土壤水分观测数据进行订正,并以相对误差±5%、±10%为指标对订正前后的数据合格情况进行了统计。结果表明,各土层自动土壤水分观测数据与人工观测数据虽然存在较大偏差,但二者具有一致的变化趋势,相关性好;分别利用5个土层同期对比观测数据建立的一元线性回归模型;拟合订正后的自动站各层数据偏差不同程度减小,数据合格率明显上升。     

雷达在水文预报应用中的研究进展

雷达可随时跟踪雨区范围、暴雨走向和降雨量的变化,而降雨是水文预报最重要的输入信息,对于水文预报、水库蓄放及江河流域水量的短时洪水预报都是很重要的。本文在介绍雷达测雨及国内外雷达测雨业务系统的基础上,重点总结了国内雷达测雨在水文预报中的研究进展,并提出了雷达在水文预报中的应用思路,探讨了雷达测雨在我国水文应用中的前景及其发展方向。数字化雷达测雨、地理信息系统以及数字高程图等系列新信息,将进一步推动新一代分布式降雨—径流模型的开发,并将极大地拓宽水文预报研究的思路和方法,从而提高预报精度。     

Land surface temperature shaped by urban fractions in megacity region

The influence of spatial scales on surface fluxes is an interesting but not fully investigated question. This paper presents an analysis on the influence of spatial scales on surface fluxes in the north Tibetan Plateau based on eddy covariance (EC) and large aperture scintillometer (LAS) data at site Nagqu/BJ, combined with the land surface temperature (LST) and normalized difference vegetation index (NDVI) of moderate-resolution imaging spectroradiometer (MODIS). The analysis shows that sensible heat fluxes calculated with LAS data (H_LAS) agree reasonably well with sensible heat fluxes calculated with EC data (H_EC) in the rain and dry seasons. The difference in their footprints due to the wind direction is an important reason for the differences in H_EC and H_LAS. The H_LAS are statistically more consistent with H_EC when their footprints overlap than when their footprints do not. A detailed analysis on H_EC and H_LAS changes with net radiation and wind direction in rain and dry season indicates that the spatial heterogeneity in net radiation created by clouds contributes greatly to the differences in H_EC and H_LAS in short-term variations. A significant relationship between the difference in footprint-weighted averages of LST and difference in H_EC and H_LAS suggests that the spatial heterogeneity in LST at two spatial scales is a reason for the differences in H_EC and H_LAS and that LST has a positive correlation with the differences in H_EC and H_LAS. A significant relationship between the footprint-weighted averages of NDVI and the ratio of sensible heat fluxes at two spatial scales to net radiation (H/Rn) in the rain season supports the analysis that the spatial heterogeneity in canopy at two spatial scales is another reason for differences in H_EC and H_LAS and that canopy has a negative correlation with (H/Rn). An analysis on the influence of the difference in aerodynamic roughness lengths at two spatial scales on sensible heat fluxes shows that the influence is greater in the dry season and smaller in the rain season because the ratio of z_{0m_LAS} to z_{0m_EC} is big in the dry season and is close to 1.0 in the rain season. This study on spatial scales on surface fluxes in the Tibetan Plateau will be helpful in analyzing and understanding its influence on climate.