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131.
盆地的沉降过程能够反映盆地的演化历史及成盆机制。为深入分析四川盆地构造沉降特征,本文基于最新钻井资料和地震数据,通过回剥反演方法,进行去压实、沉积负载、古水深和海平面变化校正,重建了四川盆地不同构造单元的构造沉降史。同时根据瞬时均匀伸展模型和裂后热坳陷模型进行正演模拟,对盆地成因进行分析。构造沉降史的恢复揭示了四川盆地具有典型的克拉通盆地沉降特征。四川盆地的形成演化可划分为震旦纪—早古生代、石炭纪—三叠纪、侏罗纪—白垩纪3个构造沉降旋回,盆地经历了晚震旦世—早寒武世、早志留世、晚二叠世—早三叠世以及中晚侏罗世4幕快速沉降,第一幕和第三幕快速沉降期为岩石圈伸展减薄引起,另外两幕为前陆盆地发育过程中所引起的快速沉降。构造沉降正演结果表明四川盆地在寒武纪—奥陶纪和晚二叠世—三叠纪经历了两期“快速沉降—缓慢沉降”过程,快速沉降受控于岩石圈的伸展作用,缓慢沉降为岩石圈热冷却作用所主导。盆地在热冷却沉降阶段后进入前陆挠曲沉降,出现不同规模的剩余沉降。
相似文献132.
133.
Although it has been shown that the potential of tight‐sand gas resources is large, the research into the mechanisms of hydrocarbon charging of tight sandstone reservoirs has been relatively sparse. Researchers have found that there is a force balance during hydrocarbon charging, but discriminant models still have not been established. Based on the force balance conditions observed during gas migration from source rocks to tight sandstone reservoirs, a calculation formula was established. A formula for identifying effective source rocks was developed with the gas expulsion intensity as the discrimination parameter. The critical gas expulsion intensity under conditions of various burial depths, temperatures, and pressures can be obtained using the calculation formula. This method was applied in the Jurassic tight sandstone reservoirs of the eastern Kuqa Depression, Tarim Basin, and it was calculated that the critical expulsion intensity range from 6.05 × 108 m3/km2 to 10.07 × 108 m3/km2. The critical gas charging force first increases with depth and later decreases with greater depths. The distribution range of effective gas source rocks and total expelled gas volume can be determined based on this threshold. This method provides new insight into and method for predicting favourable tight‐sand gas‐bearing regions and estimating their resource potentials. Copyright © 2014 John Wiley & Sons, Ltd. 相似文献
134.
Xin Li Dongliang Wang Baoquan Liu Chunling Ren Jianying Guo Xuefeng Su Jian Wang 《中国地球化学学报》2008,27(4):412-419
The northern margin of the Qaidam Basin is one of the main oil-gas exploration areas in western China, where source rocks are composed mostly of Middle and Lower Jurassic dark mud shale, carbargillite and coal. A large number of subsurface and outcrop samples differing in lithology with different types of organic matter were selected for resource evaluation, research and calculation. And among them, 13 samples were used for simulation experiment on hydrocarbon generating potential of various source rocks. At first, two kinds of heating modes were compared through simulation experiment, including single temperature-step heating and continual heating. Perhaps, the process of hydrocarbon generation and expulsion occurred naturally between a close system and an open system. In addition, the first heating mode was convenient, and all its reaction products were involved in the whole thermal evolution, and the final simulation experimental results were basically in consistency with the natural evolution trend Therefore, the first heating mode was adopted and the hydrocarbon yield of every sample was worked out. According to the type and lithology of organic matter and the hydrocarbon yield of samples for simulation experiment, hydrocarbon generation and expulsion mode with three kinds of lithology and five types of source rock has been established to provide the basis for hydrocarbon generation evaluation, research and resource calculation. 相似文献
135.
The West Kunlun orogenic belt is located at the conjunction of the paleo-Asian tectonic system and the Tethys tectonic system.
Petrological and mineralogical studies of the Early Cambrian metamorphic surface crust in this region have shown that in case
the metamorphism reached low-temperature granulate facies, the typical mineral assemblage is biotite-garnet-silimanite-K feldspar-plagioclase-quartz.
The peak metamorphic temperatures are within the range of 720–740°C and the pressure is 0.6 GPa ±. Three types of metamorphic
zircon have been detected in the metamorphic rocks: the complex inclusion-bearing type ; the early relic zircon inclusion-bearing
type; and the inclusion-free type. SHRIMP age determination of these three types of metamorphic zircon have revealed that
these zircons were formed principally during 400–460 Ma, indicating that pre-Cambrian metamorphic surface crust rocks underwent
low-temperature granulite facies metamorphism during the Caledonian. In combination with the geological characteristics of
this region, it is considered that when the oceanic basin was closed, there occurred intense intracontinental subduction (type
A), bringing part of the Early Cambrian metamorphic basement in this region downwards to the lower crust. Meanwhile, there
were accompanied with tectonic deformation at deep levels and medium- to high-grade metamorphism. This study provided important
chronological and mineralogical evidence for the exploration of the evolutionary mechanism and process of the West Kunlun
Early Paleozoic.
Part of the results from the research project “ Research on the West Kunlun pre-Cambrian tectonic events” under the program
“ Research on the important geological problems of China’ s pre-Cambrian” (No. 200113900070) sponsored by the China National
Geological Surveying Bureau. 相似文献
136.
本文所述长江河口地区,指河口附近的陆上部分,包括北部的三角洲平原,东部的滨海平原及西南部的冲积一湖积平原。全区除局部见有一些基岩山体以外,绝大部分为第四系覆盖区。整个第四系岩相层序比较复杂,反映沉积环境有过多次更替。 相似文献
137.
川滇黔铅锌多金属成矿域内,碳酸盐岩容矿的热液铅锌矿床多达400个。松梁铅锌矿床地处滇东北与川东南的交接处,位于川滇黔铅锌多金属成矿域的核心部位;铅锌矿体赋存于震旦系灯影组白云岩内,矿体产出明显受断裂控制;矿石矿物组成简单,主要由闪锌矿、方铅矿和黄铁矿组成。文章重点研究了松梁铅锌矿床硫化物的S、Pb、Zn同位素组成,进而探讨了其成矿物质来源及矿床成因。研究表明,松梁铅锌矿床的硫化物δ34SCDT值在+4.6‰~+13.7‰之间,平均值为+10.5‰,显示硫来源于赋矿围岩,为震旦系灯影组硫酸盐经TSR的产物;硫化物的Pb同位素比值为206Pb/204Pb=18.158~18.513、207Pb/204Pb=15.633~15.895、208Pb/204Pb=38.096~38.786,反映成矿物质为壳源铅,源自震旦系灯影组白云岩与结晶基底的混合;闪锌矿的δ66Zn为-0.126‰~+0.082‰,揭示成矿物质可能源自震旦系灯影组碳酸盐岩和结晶基底的混合。松梁铅锌矿床为后生碳酸盐岩容矿型铅锌矿床。 相似文献
138.
Which is more hazardous: avalanche,landslide, or mudslide? 总被引:2,自引:0,他引:2
X.-Z. Xu Z.-Y. Liu W.-L. Wang H.-W. Zhang Q. Yan C. Zhao W.-Z. Guo 《Natural Hazards》2015,76(3):1939-1945
139.
140.
暴雨灾害是我国面临的主要气象灾害之一,对其进行评估具有重要的理论和现实意义。该文以气象降水数据为基础建立数据集,采用统计分析的方法建立暴雨事件评估模型,对淮河流域上游的暴雨事件进行评估。该模型选取了4项描述暴雨事件的指标:区域平均日降水量、区域最大日降水量、覆盖范围和持续时间,通过对淮河上游16个站1961—2007年逐日降水量资料的统计分析,按概率分布划分出这4项指标的各等级标准,从而建立暴雨事件等级标准评估矩阵,而需要评估的暴雨事件等级则通过计算该暴雨事件各指标所组成的向量与等级标准评估矩阵中各等级所组成的列向量之间的欧式距离来确定。通过对历史资料及2008年4月—2010年7月发生的暴雨事件实况资料进行评估,发现评估结果与其所造成的实际影响对应较好,说明该模型对暴雨事件等级的划分较为合理。 相似文献