班公湖-怒江缝合带东段丁青地幔橄榄岩成因:来自钻孔ZK02地幔橄榄岩矿物学及地球化学特征约束

丁青蛇绿岩位于班公湖-怒江缝合带东段,是该缝合带出露面积最大的蛇绿岩。为查明岩体成因,在丁青东岩体中实施了一口165.19m的钻孔。除最顶部有约0.5m厚的第四系残坡积物外,其余均为地幔橄榄岩。结合显微镜鉴定将岩心划分出17个岩性单元层,岩性主要以方辉橄榄岩为主,夹少量纯橄岩和含铬铁矿纯橄岩。地幔橄榄岩中橄榄石的Fo变化于88.79~93.73,铬尖晶石的Cr^#变化于44.33~81.66,揭示丁青地幔橄榄岩可能经历过约20%~40%的中高度部分熔融作用;全岩地球化学分析表明其具有富镁（MgO=45.98%~49.45%）、贫铝（Al₂O₃=0.19%~1.37%）和贫钙（CaO=0.28%~0.70%）的特点,属于熔融程度较高的地幔残余物质。岩石具有明显不同于阿尔卑斯蛇绿岩的轻稀土元素富集特征,指示区内地幔橄榄岩先经历了较强程度的部分熔融,后经历了俯冲消减过程中的流体交代。利用地幔橄榄岩中的铬尖晶石成分计算母熔体Al₂O₃含量对应的FeO/MgO值,与不同构造环境原始岩浆成分相比较,发现丁青地幔橄榄岩母熔体大多处于玻安岩中。纯橄岩氧逸度估算FMQ=-3.05~-0.71,方辉橄榄岩氧逸度FMQ=-3.89~+1.47,显示丁青地幔橄榄岩有俯冲作用的参与。通过丁青钻孔岩心的研究,提出丁青东岩体可能形成于俯冲带之上的弧前环境这一观点。     

江南钨矿带桂林郑钼钨矿床钼的赋存状态、时空分布及其研究意义

安徽桂林郑钼钨矿床位于江南钨矿带北部,是目前区内唯一钼储量达到大型的钼钨矿床。本文在对该矿床地质特征和已有成果总结基础上,详细观察了各代表性矿化蚀变样品的岩相学特征,提出该矿床具镁质矽卡岩矿床特征,是桂林郑花岗斑岩熔体与奥陶系白云质灰岩地层交代的产物。矿石类型可分为靠近岩体(100m)浸染状矿石和远离岩体( 100m)的条带状矿石,分别赋存在接触交代矽卡岩和层控矽卡岩中。桂林郑矿床的矿石矿物为富钼白钨矿(钼钙矿-白钨矿系列),可分为三个世代,分别形成于无水矽卡岩阶段(Sch-Ⅰ)和含水矽卡岩-氧化物阶段(Sch-Ⅱ和Sch-Ⅲ),辉钼矿仅在浸染状矿石富钼白钨矿(Sch-Ⅲ)边部少量发育。不同矿石类型、不同世代富钼白钨矿的电子探针成分分析显示,富钼白钨矿的钼含量(MoO_3%)在5.75%～71.02%之间,均值为46.00%(n=224),总体具有超常富钼的特点;从无水矽卡岩阶段到含水矽卡岩-氧化物阶段(早→晚)、从浅部的条带状矿石到深部的浸染状矿石(浅→深),富钼白钨矿MoO_3含量有降低趋势。桂林郑钼钨矿床是首个以富钼白钨矿为主要矿石矿物的钼-多金属矿床,这一特殊钼钨矿床的发现深化了矽卡岩钼钨矿床的成因认识,同时对江南钨矿带内区域成矿规律与找矿勘探工作的推进提供了依据。     

滦平盆地陡坡带下白垩统西瓜园组水下粗碎屑岩沉积特征及搬运机制

为探讨陆相断陷湖盆陡坡带构造活动控制下水下粗碎屑岩沉积特征、搬运机制及其演化规律,以滦平断陷盆地陡坡带下白垩统西瓜园组为研究对象,采用无人机倾斜摄影、实测剖面、砾石定向性定量表征等技术方法,从沉积背景、岩相类型、沉积单元及相序特征等方面开展野外露头解剖工作.滦平盆地西瓜园组沉积时期,近岸水下扇沉积于构造沉降速率大、湖平面上升、深水、古地貌陡峭环境,洪水携带粗碎屑沉积沿陡坡带入湖,底部发育与地震活动相关的砾质碎屑流,伴随发育滑动—滑塌沉积,上部发育高密度浊流.随着沉积物不断供给,斜坡坡度逐渐减小;随着粗碎屑沉积搬运距离不断增加,砂砾质碎屑流中砾石表现出明显定向性,高密度浊流所占厚度比例增加;末端以低密度浊流为主.扇三角洲沉积于构造沉降速率相对较低、水深相对较浅、古地貌相对平缓的环境,发育相对成熟的供源体系,汇水系统长度较长,扇三角洲前缘粗碎屑岩由碎屑流向高密度浊流、牵引流、低密度浊流转换.      

桂中都安-马山煌斑岩成因及其构造意义

为精确厘定桂中地区都安-马山带煌斑岩的形成时代并探讨其源区属性、构造环境及其动力学背景,对其进行了LA-ICP-MS锆石U-Pb定年、40Ar-39Ar金云母定年、Hf同位素分析测试和全岩地球化学研究.结果表明,锆石U-Pb定年未能成功限定煌斑岩的成岩年龄,但煌斑岩中发育大量2 578~1 650 Ma的捕获锆石,指示其存在太古宙-古元古代变质基底.金云母40Ar-39Ar定年结果限定了煌斑岩的侵位年龄为100.4±0.99 Ma.Hf同位素研究表明,ε_Hf（t）有正有负,且正值多于负值,表明岩浆源区主要以新生地壳为主,存在部分古老地壳的再循环.全岩地球化学分析显示,煌斑岩具有较低的SiO₂含量（47.66%~50.93%）及高的K₂O含量（4.98%~6.77%）、富集LILE和LREE而亏损HFSE（如Nb、Ta和Ti）,表现出富集地幔和俯冲流体交代作用的特征.桂中煌斑岩形成过程中,地壳混染作用十分有限,主要形成过程为:流体交代的富集地幔,在燕山晚期岩石圈的拉张-伸展背景下,部分熔融形成煌斑岩岩浆,同时NNW向的南丹-昆仑关大断裂为岩浆的侵位提供了通道.研究区煌斑岩形成于太平洋和印度板块向欧亚板块俯冲碰撞的动力学背景下.      

煤田绳索取心钻探应建立新的行业钻探体系

煤炭仍然是世界主要能源资料,煤田地质勘探必将向深部发展,绳索取心钻探技术是深部钻探优质高效的首选方法。目前煤田绳索取心钻探技术未能全面采用,存在若干不适应煤田地层的技术问题,但都能采取措施解决。煤田地质钻探钻遇地层普遍存在水敏现象,导致泥浆含砂、含泥量过高使性能变坏。煤田绳索取心钻探还存在与“水敏”、“砂害”伴随着的泵压高、泥浆流速快、冲刷严重、冲洗液动力学效应负作用大等问题,采用非煤地质勘探标准钻具（柱）,强度低,能力弱,难以抵抗负面作用。为此,不仅需要优选适应地层抑制其水敏性的泥浆配比,更重要的是解决除砂除泥问题。同时要打破旧有思维,建立新体系,扩大钻孔直径,增大配套间隙,提升装备动力,用大功率去克服问题。     

海上油田开发井钻井优化设计和应用实践

LF7-2油田位于我国南海珠江口盆地LF区块,是一个小规模油田,根据前期探井揭示,上部地层以厚层泥岩为主,极易水化、分散,使钻井液性能变差;起下钻过程中钻具遇卡、遇阻等复杂情况频繁发生;钻头选型不尽合理,易泥包;下部地层以砂泥岩互层为主,岩石致密、可钻性变差,钻具扭矩、摩阻增加,定向钻进时滑动困难,井眼轨迹控制难度大,给钻井提速增效带来诸多困难。根据探井地质情况和岩石力学剖面,利用钻井软件优选平台位置,对开发井井身结构、井眼轨迹、钻柱力学、钻井液、固井等方面进行钻井仿真模拟,制定出科学的钻井设计方案,在直井段采用“牙轮钻头+直螺杆+MWD”钻具开展防斜打直,造斜段使用“PDC钻头+弯螺杆+MWD/LWD”开展复合钻井,水平段采用“PDC钻头+PowerDriver+MWD/LWD”开展旋转导向钻井,实现精准化钻井,顺利完成6口开发井施工。现场应用单井平均机械钻速29.43 m/h,钻井工期191.59 d,工期比设计提前28.41 d,钻井提速增效显著,降低开发成本。通过PowerDriver的近钻头井斜、自然伽马实时测量和传输,减少地质误判,实现对储层顶界面的实时探测,使储层钻遇率达100%,收到较好的经济效益和投资回报,实现小油田的效益开发。     

塔里木盆地玉尓吐斯组高频层序沉积充填演化特征及控烃作用

结合9个野外剖面和17口井,对塔里木盆地玉尔吐斯组沉积演化及其对烃源岩的制约作用进行了系统研究和分析。在精细对比后发现,塔里木盆地下寒武统玉尔吐斯组可分为2个三级层序(SQ1、SQ2)、5个四级层序(sq1—sq5),其中三级层序SQ1可分为3个四级层序,SQ2可分为2个四级层序。SQ1发生在寒武纪初期,海进速度较慢,影响范围相对局限,而SQ2的海进则相对迅速,影响范围较大。四级层序sq1发生在第一次海侵初期,水体浅,主要沉积紫红色白云岩、灰黑色砂屑白云岩,起填平补齐的作用;sq2、sq4发生在海侵—海退的转换时期,是两套深水的沉积,岩性以黑色泥岩、硅质泥岩和硅质岩为主,局部发育泥岩与条带状白云岩互层;sq3、sq5是海退过程中的浅水沉积,主要发育灰色白云岩和藻白云岩,局部有泥质夹层。利用Mn、Fe、Ti、Rb、K、Sr、Ba、Cu、U、V、Mo等元素及其比值进行沉积环境分析表明,sq2时期,水体深度大、盐度低、气候温暖湿润,有利于生物发育,并且其硫化缺氧的环境极其有利于有机质的保存;sq4时期,水体深度较大,盐度相对较小,气候相对温暖湿润,较为适合生物生存,并且其硫化缺氧夹次氧化的环境,较为适合有机质保存。高频海平面变化与沉积环境演化影响着玉尔吐斯组的烃源岩分布与品质,sq2时沉积的烃源岩品质优于sq4,但是其分布范围小于sq4。     

Reservoir Characteristics and Genetic Mechanisms of the Mesozoic Granite Buried Hills in the Deep‐water of the Qiongdongnan Basin,Northern South China Sea

Due to its structure,rock and mineral composition,fluid and other factors,the granite Buried Hill Reservoir is highly heterogeneous with a complex longitudinal structure and a reservoir space made up of a combination of dissolution pores and fractures.This paper is based on current understanding of tectonic evolution in the northern part of the South China Sea,in conjunction with the seismic phase characteristics.It is determined that the meshed fault system was formed by three stages of movement-tectonic compression orogeny during the Indochinese epoch,strike-slip compression-tension during the Yanshanian Period,early fracture extension activation during the Himalayan-which controlled the distribution of the Buried Hill Reservoir.Drilling revealed two types of buried hills,faulted anticline and fault horst,their longitudinal structure and the reservoir space type being significantly different.The mineral composition,reservoir space and diagenetic characteristics of the reservoir rocks and minerals were analyzed by lithogeochemistry,micro section and logging etc.,it thus being determined that the Mesozoic rocks of the Songnan Low Uplift in the Qiongdongnan Basin are mainly composed of syenogranite,granodiorite,monzogranite,which is the material basis for the development of the Buried Hill Reservoir.The content of felsic and other brittle minerals is more than 70%,making it easy for it to be transformed into fractures.At the same time,the weathering resistance of granodiorite and monzogranite is weaker than that of syenogranite,which is easily weathered and destroyed,forming a thick sand gravel weathering zone.With increasing depth of burial,weathering and dissolution gradually weaken,the deep acidic fluid improving the reservoir property of internal fractures and expanding the vertical distribution range of the reservoirs.The research results lay a foundation for the exploration of Buried Hill in the deep-water area of the Qiongdongnan Basin.     

Distribution Prediction of Middle-deep Lacustrine Source Rocks in Eocene Wenchang Formation in the Kaiping Sag,Pearl Mouth Basin

Oil and gas shows are rich in drilling wells in Kaiping sag,however,large oilfield was still not found in this area.For a long time,it is thought that source rocks were developed in the middle-deep lacustrine facies in the Eocene Wenchang Formation,while there is no source rocks that in middle-deep lacustrine facies have been found in well.Thickness of Wenchang Formation is big and reservoirs with good properties could be found in this formation.Distribution and scale of source rock are significant for further direction of petroleum exploration.Distribution characterization of middle-deep lacustrine facies is the base for source rock research.Based on the sedimentary background,fault activity rate,seismic response features,and seismic attributes were analyzed.No limited classification method and multi-attributes neural network deep learning method were used for predicting of source rock distribution in Wenchang Formation.It is found that during the deposition of lower Wenchang Formation,activity rate of main fault controlling the sub sag sedimentation was bigger than 100 m/Ma,which formed development background for middle-deep lacustrine facies.Compared with the seismic response of middle-deep lacustrine source rocks developed in Zhu I depression,those in Kaiping sag are characterized in low frequency and good continuity.Through RGB frequency decomposition,areas with low frequency are main distribution parts for middle-deep lacustrine facies.Dominant frequency,instantaneous frequency,and coherency attributes of seismic could be used in no limited classification method for further identification of middle-deep lacustrine facies.Based on the limitation of geology knowledge,multi-attributes of seismic were analyzed through neural network deep learning method.Distribution of middle-deep lacustrine facies in the fourth member of Wenchang Formation is oriented from west to east and is the largest.Square of the middle-deep lacustrine facies in that member is 154 km²and the volume is 50 km³.Achievements could be bases for hydrocarbon accumulation study and for exploration target optimization in Kaiping sag.     

2011~2020年勘查地球化学数据处理研究进展

我国建立了包含海量数据的高质量的勘查地球化学数据库,为矿产勘查、环境评价和地质调查等提供了重要的数据支撑。如何高效处理勘查地球化学数据,并从中发掘和识别深层次信息一直是勘查地球化学学科研究的热点和前沿领域。本文在系统调研国内外学者过去十年发表的论著基础上,对勘查地球化学数据处理方法进行分析与对比,从勘查地球化学数据库建设、地球化学异常识别及其不确定性评价等方面概述了我国近十年来在该领域取得的主要研究进展,包括:(1)分形与多重分形模型由于考虑了地球化学空间模式的复杂性和尺度不变性,在全球范围内得到极大的发展和推广,我国学者引领了基于分形与多重分形的勘查地球化学数据处理;(2)机器学习和大数据思维开始在该领域启蒙,并迅速得到关注,正在成为研究热点和前沿领域,我国学者率先开展基于机器学习算法的勘查地球化学大数据挖掘研究;(3)我国学者需要进一步加强勘查地球化学数据缺失值处理以及成分数据闭合效应研究。今后该领域应进一步加强对弱缓地球化学异常识别、异常不确定性评价以及异常识别与其形成机理相结合等方面的研究。