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鸡西盆地位于黑龙江东北前中生代佳木斯地块之上，介于依舒断裂和敦密断裂之间。鸡西盆地是黑龙江东部重要的含煤盆地，形成于早白垩世早期，封闭于晚白垩世早期。在纵向上表现为2个大的演化阶段，早白垩世凡兰吟-阿尔布中期沉积了鸡西群含煤岩系，阿尔布晚期-赛诺曼期沉积了具红层特征的桦山群。 相似文献
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西昆仑塔什库尔干铁矿带矿床类型、成因及成矿规律 总被引：1，自引：0，他引：1
在对西昆仑塔什库尔干地块地质演化、含矿岩系、锆石U-Pb同位素年代学和典型铁矿床进行研究的基础上,总结了区域含矿建造的特征、时代、矿床类型及成矿规律。结果表明:西昆仑塔什库尔干地块原"布伦阔勒群"实际上发育古元古代(2 100~2 500 Ma)、寒武纪早期(510~540 Ma)等两期沉积成矿事件,同时在中晚元古代(800~1 800 Ma)和海西期—印支期(200~410Ma)分别发生过强烈的变质和变形作用,局部富矿的形成可能与后期热液的叠加改造作用有关。区域铁矿可划分为两类:一为条带状铁建造遭受后期热液叠加改造的沉积变质型铁矿床,如赞坎、莫喀尔和吉尔铁克沟铁矿床,其形成环境为早元古代活动陆缘的弱氧化—还原的浅海相沉积环境,成矿物质来源于海底热液对基性火山岩的淋滤及少量陆源物质的风化;二为早寒武世海相火山-喷流沉积型铁矿床,如喀来子、老并和叶里克铁矿床,其形成条件为半深海—浅海相、弱氧化—半氧化的断陷盆地环境,成矿成岩物质主要来源于海底热水沉积及陆源物质。根据区域成矿规律,推测卡拉本—喀来子—莫拉赫一带是寻找早寒武世与海底喷流成矿系统有关的铁-多金属矿的有利地区,吉尔铁克沟—赞坎北地区、莫喀尔及其以南地区是赞坎铁矿带的北延和南延,是寻找古元古代沉积变质型铁矿的有利地区。 相似文献
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三叠纪贺兰山盆地是一个半地堑式沉积盆地。盆地中充填有冲积扇体系、河流体系及湖泊体系的沉积。沉积相带的分布与古地理格局均受边缘断裂作用所控制．盆地的西及西北部边缘为断陷沉积边缘，东南边缘为自然超覆边缘。 相似文献
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舞阳凹陷为一不对称箕状凹陷,属单断式断陷沉积盆地,鲁山漯河边界断层的活动控制了凹陷的发展和形成。凹陷内沉积了巨厚的中、新生代碎屑化学岩系,下第三系核桃园组一段地层中蕴藏着丰富的石盐岩,为一特大型沉积型矿床。核桃园组一段地层厚约480m,自盆缘向沉积中心增厚,含盐系数为29％～69％,呈西高东低,矿石NaCl含量多在75％～95％。共划分21个盐群,含62个盐层,每个盐群下部为淡化段,上部为咸化段。凹陷演化分为三期,核桃园期演化分为三个阶段。石盐岩成因为浅湖盐湖相,在干旱气候条件下,湖水蒸发形成盐湖,随湖水含盐度的增高,石盐结晶沉淀,形成优质厚层石盐岩矿床。 相似文献
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二连盆地群是内蒙古自治区最大的一个晚中生代盆地群,都呼木盆地是其中之一富煤盆地,含煤层位于白垩纪彦花组第五段,煤层的煤质为中灰、中高硫、高发热量、低磷—中磷低氯的褐煤,受好来-锡林呼都格断裂控制形成的赛罕塔拉煤田,自然分割成了若干个规模不等的聚煤盆地。盆地边缘地区岩浆岩发育,以华力西中晚期、燕山早期侵入岩为主,岩性从超基性—酸性,一般呈岩基产出。煤层形成于漫流为主的沉积组合类型和浅水重力流和泥炭沼泽沉积物为主的沉积相。沉积环境对富煤带展布起控制作用,该区主要聚煤作用发生在盆地发育的晚期,富煤带在控盆断裂的西北一侧2～4km附近。 相似文献
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文章探讨了广西沉积矿床的成矿地质背景;划分了沉积矿床成矿系列;建立了海相沉积矿床和陆相沉积矿床两种成矿模式;新提出台沟相沉积和海沟相沉积矿床;呼吁重视对台沟相和海沟相沉积矿床的研究和找矿。 相似文献
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根据沉积学标志和构造演化史,认为胶莱盆地下白垩世莱阳群沉积环境以河湖相为主,由2个完整的水进-水退沉积旋回组成。其中,下部瓦屋夼组形成了一个独立的沉积旋回;上部从林寺山组、止凤庄组到曲格庄组组成第二个沉积旋回,该沉积旋回全区发育,反映了胶莱盆地的主要沉积特征。止凤庄组、林寺山组是盆地形成初期,发育冲洪积扇沉积体系。水南组是盆地形成的鼎盛时期,发育三角洲-深湖沉积体系,该组地层暗色泥页岩发育,为较好的页岩气目标地层。龙旺庄组是盆地形成中晚期,发育河流-三角洲相沉积体系。曲格庄组为盆地消亡期,主要为河流相沉积体系。 相似文献
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TANGHua-feng CHENGRi-hui KONGQing-ying BAIYun-feng YUMing-feng 《东北亚地学研究》2004,7(2):120-124
According to the characteristics of sedimentary facies and their vertical associations, sequence association of sedimentary facies can be divided into 2 types and 28 subtypes. The first type (type A) is a sedimentary sequence without volcanic rocks, including 18 subtypes. The second type (type B) is a volcanogenic succession including 10 subtypes. Each subtype may reflect certain filling condition under certain sedimentary environment. Time and space distribution of different types of sequence associations can reflect tectonics that controlled the basin evolution, sedimentary environments and palaeogeography. 相似文献
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According to the characteristics of sedimentary facies and their vertical associations, sequence association of sedimentary facies can be divided into 2 types and 28 subtypes. The first type (type A) is a sedimentary sequence without volcanic rocks, including 18 subtypes. The second type (type B) is a volcanogenic succession including 10 subtypes.Each subtype may reflect certain filling condition under certain sedimentary environment. Time and space distribution of different types of sequence associations can reflect tectonics that controlled the basin evolution, sedimentary environments and palaeogeography. 相似文献
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It is important to understand the distribution of sedimentary facies, especially the distribution of sand body that is the key for oil production and exploration. The secondary oil recovery requires analyzing a great deal of data accumulated within decades of oil field development. At many cases sedimentary micro-facies maps need to be reconstructed and redrawn frequently, which is time-consuming and heavy. This paper presents an integrated approach for determining the distribution of sedimentary micro-facies, tracing the micro-facies boundary, and drawing the map of sedimentary micro-facies belts automatically by computer technique. The approach is based on the division and correlation of strata of multiple wells as well as analysis of sedimentary facies. The approach includes transform, gridding, interpolation, superposing, searching boundary and drawing the map of sedimentary facies belts, and employs the spatial interpolation method and "worm" interpolation method to determine the distribution of sedimentary micro-facies including sand ribbon and/or sand blanket. The computer software developed on the basis of the above principle provides a tool for quick visualization and understanding the distribution of sedimentary micro-facies and reservoir. Satisfied results have been achieveed by applying the technique to the Putaohua Oil Field in Songliao Basin, China. 相似文献
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1IntroductionThe method is to find the boundary of distribu-tion of sedimentary micro-facies and draw the map of sedimentary belts based on known data of sedi-mentary facies from each layer(strata unit or sedi-mentary unit) of each well in a specific area. It is important to understand the distribution of sedimentary micro-facies. Generally determining the distribution of sedimentary facies is a primary and hard job in the stage of oil-field development. At the scale of sedimentary micro-f… 相似文献