云南鹤庆县小天井锰矿地质特征及找矿标志     

骆怀鹏  梁刚  郎维雄  杨宇 《云南地质》2021,(1):18-23

云南鹤庆县小天井锰矿矿体呈层状、似层状,局部透镜状赋存于上三叠统松桂组第三段(T₃sh³)灰岩、钙质泥岩中,矿体产状与围岩一致。矿体顶板的硅钙质层是该矿的直接找矿标志。矿床成因属沉积-改造型锰矿。  相似文献   

西藏尼木斑岩铜多金属矿区后续地质勘查思考   总被引：1，自引：0，他引：1  

胡光龙 《云南地质》2011,30(4):394-397

根据前期勘查结果,岗讲Ⅰ号矿体品位偏低,矿体厚度、产状变化较大,形态较复杂,应加强矿区基础地质工作,综合地质研究工作,总结铜、钼空间富集规律,建立成矿模式,指导矿区深部及外围找矿的合理化布局。  相似文献   

大红山铁铜矿Ⅲ_2a、Ⅱ_5-4矿体对比及探矿建议     

李建飞 《云南地质》2011,30(4):439-442

对部分矿体基建探矿前后矿体主要特征及资源储量对比,探讨矿体控制程度和控制网度问题。原勘探工作对矿体的控制程度很高,矿山生产探矿可适当放稀间距,减少工程量,降低生产成本。  相似文献   

云南马龙马鞍山铁矿成矿地质条件     

陈伟 《云南地质》2011,30(3):326-328

铁矿床由基底岩石中黄铁矿、菱铁矿在近地表经风化淋滤后,搬运沉积形成。属风化残积型褐铁矿。  相似文献   

青海格尔木四角羊沟铅锌矿成因分析     

王进朝  冯志兴  李赛  沈忠义  于斌 《云南地质》2011,30(2):154-156

矿床受上石炭统四角羊沟组(C3s)碳酸盐岩与印支期花岗闪长岩体(γδ1b5)的接触带控制,矽卡岩化带中的褐铁矿化(“铁帽”)是最直接的找矿标志.  相似文献   

云南景谷岔河铜矿控矿因素     

孙福伟  付义琴 《云南地质》2011,30(3):312-315

芒亨河断裂的次级断裂是主要控矿构造,含矿围岩为上三叠统小定西组(T3xd)富钠质安山岩、玄武岩。受构造、层位、碎屑粒度的制约。  相似文献   

云南西双版纳曼远铁矿矿床地质     

孙云堂 《云南地质》2011,30(3):321-322,311

曼远铁矿以磁铁矿、赤铁矿、磁赤铁矿为主,赋存于澜沧群勐井山组上段中部。该组地层中夹多层中性—基性火山岩、火山凝灰岩,属典型的火山沉积变质型铁矿。  相似文献   

Kinetic simulation of hydrocarbon generation from lacustrine type I kerogen from the Songliao Basin: Model comparison and geological application     

Wang Min  Lu Shuang-fangXue Hai-tao 《Marine and Petroleum Geology》2011,28(9):1714-1726

Eight lacustrine Type I kerogen samples from the Songliao Basin were pyrolyzed using the Rock-Eval equipment, and parallel first-order reaction models including the model with a single frequency factor and a discrete distribution of activation energies (SFF model) and the model with multiple frequency factors and a discrete distribution of activation energies (MFF model) were adopted to analyze kinetic characteristics of hydrocarbon generation of the Type I kerogen samples. The results show that the MFF and SFF models can satisfactory simulate hydrocarbon generation under laboratory conditions and the Type I kerogen shows relatively concentrated activation energy distributions (activation energies of MFF model range from 190 kJ/mol to 250 kJ/mol, activation energies of SFF model range from 220 kJ/mol to 240 kJ/mol), which indicates a homogeneous chemical bond structure of the Type I kerogen. The hydrocarbon generated curves from Type I kerogen were calculated by using the two models with a linear heating rate (3.3 K/Ma). It indicates that the hydrocarbon generation potentials (reaction fractions) are underestimated by using the SFF model during the kerogen thermal degradation for the components with chemical bond of lower and higher activation energies, while this problem can be avoided by using the MFF model. The calculated temperatures for 50% transformation ratio (TR) of all samples differ by as much as 20 °C. For the SFF model, the hydrocarbon generation curve obtained by using the weighted averaged kinetic parameters and the SFF model almost includes every curve calculated by using its own kinetic parameters. While the curve obtained by using the weighted averaged kinetic parameters and the MFF model cannot include every curve for all samples, it lies at the position of the averaged curve of all samples. The application of the MFF model in Songliao Basin shows that if TR 10% is taken as the onset of hydrocarbon generation, the threshold depth of hydrocarbon generation is about 1700 m, which is consistent with other geochemical parameters, such as S₁/TOC, S₁/(S₁ + S₂) and HC/TOC.  相似文献   

南海西南次海盆岩石圈结构及其地质意义          下载免费PDF全文

胡立天  张培震  郝天珧  徐亚 《地球物理学报》2019,62(9):3464-3481

南海地区岩石圈资料稀少，阻碍了其形成演化过程的研究.为此，本次研究结合大地热流、空间重力异常、高程、大地水准面和地震数据，在南海西南次海盆反演了两条2.5维岩石圈剖面.本次计算基于三种假设：岩石圈地幔的密度取决于岩石温度；研究区岩石圈处于热稳定状态；研究区处于重力均衡状态.在剖面A-E中，岩石圈底界面从珠江口盆地的105 km迅速抬升到西沙海槽处的50 km，在西沙海槽、西沙-中沙群岛和西南次海盆变化不大，为50~60 km.在剖面F-I中，岩石圈底界面从西沙群岛-中建地块处的88 km向海盆逐渐抬升，在西南次海盆处为46~50 km，到郑和隆起再逐渐变深至64 km.我们比较了西南次海盆岩石圈的冷却模型和热稳定模型，根据冷却模型由水深和热流数据所推断的西南次海盆年龄比实际年龄差很多，说明冷却模型不适用于西南次海盆.通过对比剖面A-E和剖面F-I，说明了剖面A-E经历了更长时间的拉伸，证明南海西南次海盆在形成演化过程中是从北东向南西逐步打开的渐进式扩张.最后，我们综合分析西南次海盆及其大陆边缘的岩石圈结构、减薄陆壳区范围、碳酸盐台地的分布、下地壳韧性流动、流变结构和沉积层特征等多方面资料，认为西南次海盆在形成演化过程中岩石圈地幔首先破裂而地壳后破裂，属于type Ⅱ型非火山型大陆边缘.  相似文献   

Optimum Sample Size to Detect Perturbation Effects: The Importance of Statistical Power Analysis – A Critique     

Marco Ortiz 《Marine Ecology》2002,23(1):1-9

Abstract. The current article describes statistical power analysis as an efficient strategy for the estimation of the optimum sample size. The principle aim is constructively to criticise and enrich the results presented by Mouillot et al. (1999) , who estimate the optimum sample size for evaluating possible perturbations. The authors did not make any reference to statistical power analysis, even though their objective clearly went beyond a simple stock evaluation to assess management strategies in a particular marine ecosystem. Surprisingly, they proposed (a priori) an ANOVA design to test a hypothesis considering both space and temporal scales. However, the authors did not cover important topics related with power analysis and the precautionary principle, both used into environment impact assessment programmes for marine ecosystems. Based on their results and on statistical power analysis, it is demonstrated that the variability (dispersion statistics), a key factor they used to estimate the sample size, is less relevant than the magnitude of perturbation (effect size). Therefore, a greater effort must be devoted to estimate the effect size of a particular phenomenon rather than a desired variability.  相似文献