松辽盆地大陆深部科学钻探2号井完井暨学术研讨现场会召开

正2018年5月26日,自然资源部中国地质调查局在黑龙江省安达市松科二井工程现场召开大陆科学钻探工程(松科二井)完井暨学术研讨现场会。中国地质学会常务副理事长兼秘书长、自然资源部中国地质调查局副局长、松科二井工程领导小组组长李金发宣布松辽盆地大陆深部科学钻探工     

华北地块中部新构造运动

由于印度板块持续向北运动,引起青藏高原的挤出,并于中新世末引起华北地块的向东挤出。大约在7.3 Ma,太行山西侧渭河盆地唐县面首先解体,继而向北、向东发展;到5 Ma左右,太行山东麓断裂带的右行走滑,导致华北中部唐县面全面解体,形成多个太行山内部山间盆地,以及太行山西侧山西地堑系。这些断陷盆地的断陷幅度各不相同,太行山西侧山西地堑系断陷幅度较大,太行山内部山间盆地断陷幅度较小,太行山东部的渤海湾盆地断陷活动不明显。伴随着盆地的形成,太行山相对进入快速隆升阶段。山西地堑系控盆断裂以及太行山东麓断裂带第四纪以来仍存在明显活动,切割并控制第四系,局部在地表形成地裂缝。华北地块中部的应力场恢复以及深部构造分析表明,深部地幔上涌对浅部伸展构造的形成具有重要的影响,深部构造演变与浅部构造演变具有高度的一致性和耦合性。太行山东部渤海湾盆地自中新世以来就进入拗陷阶段,断裂活动弱,构造演化与西侧差异较大,表明这期构造运动动力源于西侧,太行山东麓断裂带作为两侧差异演变的边界,调节着两侧的差异构造活动。     

基于岩石图像深度学习的岩性自动识别与分类方法

岩石岩性的识别与分类对于地质分析极为重要,采用机器学习的方法建立识别模型进行自动分类是一条新的途径。基于Inception-v3深度卷积神经网络模型,建立了岩石图像集分析的深度学习迁移模型,运用迁移学习方法实现了岩石岩性的自动识别与分类。采用此方法对所采集的173张花岗岩图像、152张千枚岩图像和246张角砾岩图像进行了学习和识别分类研究,通过训练学习建立岩石图像深度学习迁移模型,并分别采用训练集和测试集中的岩石图像对模型进行了检验分析。对于训练集中的岩石图像,每组岩石分别用3张图像测试,三种岩石的岩性分类均正确,且分类概率值均达到90%以上,显示了模型良好的鲁棒性;对于测试集中的岩石图像,每组岩石分别采用9张图像进行识别分析,三种岩石的岩性分类均正确,并且千枚岩组图像分类概率均高于90%,但是花岗岩组2张图像和角砾岩组的1张图像分类概率值不足70%,概率值较其他岩石图像低,推测其原因是训练集中相同模式的岩石图像较少,导致模型的泛化能力减小。为了提高识别精确度,对准确率较低的岩石图像进行截取,分别取其中的3张图像加入训练集进行再训练,增加与测试图像具有相同模式的训练样本;在新的模型中,对3张图像进行二次检验,测试概率值均达到85%以上,说明在数据足够的状况下模型具有良好的学习能力。与传统的机器学习方法相比,所提出的岩石图像深度学习方法具有以下优点:第一,模型通过搜索图像像素点提取物体特征,不需要手动提取待分类物体特征;第二,对于图像像素大小,成像距离及光照要求低;第三,采用适当的训练集可获得较好的识别分类效果,并具有良好鲁棒性和泛化能力。     

处置单元核素135Cs迁移数值模拟研究

根据高放废物地质处置库概念设计,以北山花岗岩为参考岩性,内蒙古高庙子膨润土为参考缓冲材料,使用数值模拟软件tough2对放射性核素¹³⁵Cs在处置单元及其围岩中的迁移行为进行了数值模拟研究,考虑放射性核素衰变释热对核素迁移的影响。研究表明:膨润土对核素具有较强的滞留作用,模拟200000年后核素在花岗岩中迁移了1 m左右,且峰值为10-6个数量级;前10 a模型的温度变化最剧烈且温差最大,10 a后模型整体温度开始降低,2 000 a后整体温度接近于初始温度;温度的变化会引起核素迁移速率的改变,但总体温度对核素迁移的影响不大。     

Geology and mineralization of the Sanshandao supergiant gold deposit (1200 t) in the Jiaodong Peninsula,China: A review

The Jiaodong Peninsula in Shandong Province, China is the world’s third-largest gold metallogenic area, with cumulative proven gold resources exceeding 5000 t. Over the past few years, breakthroughs have been made in deep prospecting at a depth of 500–2000 m, particularly in the Sanshandao area where a huge deep gold orebody was identified. Based on previous studies and the latest prospecting progress achieved by the project team of this study, the following results are summarized. (1) 3D geological modeling results based on deep drilling core data reveal that the Sanshandao gold orefield, which was previously considered to consist of several independent deposits, is a supergiant deposit with gold resources of more than 1200 t (including 470 t under the sea area). The length of the major orebody is nearly 8 km, with a greatest depth of 2312 m below sea level and a maximum length of more than 3 km along their dip direction. (2) Thick gold orebodies in the Sanshandao gold deposit mainly occur in the specific sections of the ore-controlling fault where the fault plane changes from steeply to gently inclined, forming a stepped metallogenic model from shallow to deep level. The reason for this strong structural control on mineralization forms is that when ore-forming fluids migrated along faults, the pressure of fluids greatly fluctuated in fault sections where the fault dip angle changed. Since the solubility of gold in the ore-forming fluid is sensitive to fluid pressure, these sections along the fault plane serve as the target areas for deep prospecting. (3) Thermal uplifting-extensional structures provide thermodynamic conditions, migration pathways, and deposition spaces for gold mineralization. Meanwhile, the changes in mantle properties induced the transformation of the geochemical properties of the lower crust and magmatic rocks. This further led to the reactivation of ore-forming elements, which provided rich materials for gold mineralization. (4) It can be concluded from previous research results that the gold mineralization in the Jiaodong gold deposits occurred at about 120 Ma, which was superimposed by nonferrous metals mineralization at 118–111 Ma. The fluids were dominated by primary mantle water or magmatic water. Metamorphic water occurred in the early stage of the gold mineralization, while the fluid composition was dominated by meteoric water in the late stage. The S, Pb, and Sr isotopic compositions of the ores are similar to those of ore-hosting rocks, indicating that the ore-forming materials mainly derive from crustal materials, with the minor addition of mantle-derived materials. The gold deposits in the Jiaodong Peninsula were formed in an extensional tectonic environment during the transformation of the physical and chemical properties of the lithospheric mantle, which is different from typical orogenic gold deposits. Thus, it is proposed that they are named “Jiaodong-type” gold deposits.©2021 China Geology Editorial Office.     

衡水地区地裂缝空间发育特征与地下水位降深关系

通过浅层地震法及高密度电阻率法物探对河北衡水地区最近发现的3条地裂缝调查,探明了地裂缝地下发育深度、宽度、倾向等,发现地裂缝在地表与地下发育特征有明显不同：地表以一条地裂缝存在,在地下深处则以裂缝带发育,裂缝带两侧裂缝埋深不同,地下裂缝形态表现为上窄下宽。对该地区深层钻探、水文地质和多年地下水开采等资料分析表明,该地区的地裂缝是地质历史时期地质构造活动产物,开采深层地下水等资源则是促使地裂缝发展的主要原因。通过对不同地点地裂缝发育深度与近36年以来地下水水位降深的关系分析,结果显示：不同地区地裂缝发育深度与相应深层地下水水位降深呈线性关系。研究成果对地裂缝机理研究及预防开采深层地下水对地质环境的影响具有指导作用。     

伽师强震群区震源细结构的深地震反射探测研究

穿过伽师强震群的深地震反射剖面提供了研究区从地表直至莫霍界面的地壳细结构图像.探测结果表明：研究区上、下地壳分界面埋深约20～30 km,莫霍界面埋深约52～58 km.上地壳内部存在着两种截然不同的反射图像.上地壳上部为沉积盖层,厚度约8～9 km,盖层内部反射成层分布,显示了稳定而连续的沉积特点;上地壳下部则为“反射透明”背景下存在的叠层状反射带.下地壳内部呈现明显的反射性质,具体体现在上、下地壳分界面和莫霍间断面都表现为具有一定持续时间的多循环反射叠层结构特征.时间剖面上所有反射事件由北东向南西下倾的整体图像直观地反映了塔里木盆地地壳变形而向西昆仑下插入的事实.剖面47km桩号附近,上地壳下部至壳幔过渡带以上地壳范围内存在一条高倾角的深断裂,具有走滑性质,本研究认为该深断裂与1997年伽师强震群的发生密切相关,推断它为伽师强震群的发震构造.而时间剖面上壳幔过渡带反射的连续性则说明该断裂没有向下穿过莫霍面.存在于上地壳上部的两条高倾角的浅部断层可能对应于地质推测的麦盖提—下苏洪断裂带,它们与位于其下方的地壳深断裂构成了伽师强震群可能的深、浅构造关系.     

多种降阻材料搭配在变电站接地网改造中应用

在北海市三塘110KV变电站接地网系统改造工程实践中,通过不等长接地体技术及多种将阻材料搭配使用,克服了原接地网接地电阻值增大因素,并对变电站接地网改造和施工工艺进行设计。     

基于渔获群落多样性指标的深水流刺网渔具作业性能分析

根据在东海区开展的3种型深水流刺网选择性试验数据,对3种型深水流网渔获组成、多样性及渔获性能进行了分析比较研究。结果表明:(1)本次试验共捕获33种渔获物,包括鱼类28种、头足类3种、甲壳类2种,其中3种型刺网均捕获种类8种;(2)3种型刺网优势种存在差异,日本方头鱼和黄鲷为共同优势种;(3)3种型刺网捕获种类多样性指数(D值、H’值、J’值)均不存在显著性差异(P>0.05),但渔获种类差异明显,3种型刺网两两比较种类Sorensen相似度均低于50%;(4)同型刺网相邻网目尺寸Bray-Curtis相似性较高,随着网目间距增加,相似度逐渐减低,以重量和尾数计算的相似性基本趋于一致;(5)3种型刺网随网目尺寸的增加(50～70mm),其W统计值(-0.113～0.040)总体上呈现依次增大的趋势,干扰程度逐渐较低。从生态多样性保护角度,增大网目尺寸是目前保护东海区底层生物多样性最有效的方式之一。     

Application of a vanishing, quasi-sigma, vertical coordinate for simulation of high-speed, deep currents over the Sigsbee Escarpment in the Gulf of Mexico

Recent observations over the Sigsbee Escarpment in the Gulf of Mexico have revealed extremely energetic deep currents (near 1 m s⁻¹), which are trapped along the escarpment. Both scientific interest and engineering needs demand dynamical understanding of these extreme events, and can benefit from a numerical model designed to complement observational and theoretical investigations in this region of complicated topography. The primary objective of this study is to develop a modeling methodology capable of simulating these physical processes and apply the model to the Sigsbee Escarpment region. The very steep slope of the Sigsbee Escarpment (0.05–0.1) limits the application of ocean models with traditional terrain-following (sigma) vertical coordinates, which may represent the very complicated topography in the region adequately, can result in large truncation errors during calculation of the horizontal pressure gradient. A new vertical coordinate system, termed a vanishing quasi-sigma coordinate, is implemented in the Navy Coastal Ocean Model for application to the Sigsbee Escarpment region. Vertical coordinate surfaces for this grid have noticeably gentler slopes than a traditional sigma grid, while still following the terrain near the ocean bottom. The new vertical grid is tested with a suite of numerical experiments and compared to a classical sigma-layer model. The numerical error is substantially reduced in the model with the new vertical grid. A one-year, realistic, numerical simulation is performed to simulate strong, deep currents over the Escarpment using a very-high-resolution nested modeling approach. The model results are analyzed to demonstrate that the deep-ocean currents in the simulation replicate the prominent dynamical features of the observed intense currents in the region.