龙门山冲断带分段机理研究

前陆冲断带具有巨大的油气勘探潜力,构造分段性控制油气分布。龙门山冲断带构造分段特征明显,但对分段性的形成机理缺乏深入研究。总结前人砂箱模拟实验成果认为:盆地基底差异和推覆带附近刚性体分布的差异,是造成冲断带构造分段的主要原因。龙门山前川西古拗拉谷的发现,为盆地基底存在差异提供了有利证据,古拗拉谷两侧发育大邑古隆起、江油——老关庙古隆起,在后期逆冲推覆过程中形成阻挡。通过对龙门山推覆带基底特征和刚性地体进行分析,结合前人模拟实验结果,明确提出龙门山冲断带构造分段机理:龙门山北段构造的形成是以碧口地块为动力,龙门山初始裂谷边缘古隆起形成阻挡,在古隆起上方形成冲断带;中段以彭灌杂岩体[彭县——灌县(都江堰)杂岩体]传递动力,在川西古拗拉谷坳陷部位,刚性体挤入盆地内部,印支期——喜马拉雅期,古坳陷部位继承性地发展为川西前陆盆地;南段以宝兴杂岩体传递动力,在大邑古隆起上方形成冲断带。     

甘肃肃北贾公台金矿构造叠加晕特征及深部找矿预测

通过对贾公台金矿开展系统的原生晕研究工作,初步建立了矿区原生叠加晕轴向分带(自上而下):W-Mo-Bi-Ni-Co-Cu-Zn-Pb-Ag-Au-Sb-As,认为区内成矿热液具有多期次叠加成矿的特点,深部前缘晕元素异常发育,预示深部找矿前景较好,预测深部盲矿靶位在3200 m标高以下。     

甘孜地区雅拉河段地热系统特征及控制因素

综合应用区域地质、地震、地球化学等资料,对甘孜地区雅拉河段地热系统及其主控因素进行研究。分析认为,甘孜地区地热属于典型的对流型地热系统,雅拉河断裂破碎带及板岩中发育的大量裂隙共同构成了研究区的热储体,这些热储体沿雅拉河断裂带不均匀分布。研究区充沛的大气降水以及季节性的冰雪融水为地热系统提供充足的水源。雅拉河断裂与色拉哈断裂之间大范围相对平坦的区域以及大量储水洼地为地热系统中的水源提供存储空间。该地区地表裂隙发育,利于地表水向下渗透,是地下水的主要补给通道。色拉哈断裂的强烈活动为浅层地下水在重力作用下进一步向深层运移提供重要流体通道。雅拉河断裂带的地势相对低,断裂破碎带是深层流体上涌的重要通道。在流体供给区与出露区的重力势能差以及两条走滑断裂带压力差共同作用下,流体经深部热源加热后在流体通道内形成持续的热流体循环系统。     

XDQ-1200型全液压轻型岩心钻机电液控制系统设计与应用

XDQ-1200型全液压轻型岩心钻机采用了电液比例控制技术,具有自动化水平高、效率高、易操作、可靠性高等优点。简要介绍了该钻机的性能特点,重点阐述了动力头回转、给进系统的液压控制原理和钻机的整体电气原理设计。生产试验表明,钻机运行良好,工作稳定,进尺速度快,操作简单,功能先进,自动化程度高。     

Structural Evolution and Hydrocarbon Potential of the Upper Paleozoic Northern Ordos Basin, North China

The hydrocarbon potential of the Hangjinqi area in the northern Ordos Basin is not well known, compared to the other areas of the basin, despite its substantial petroleum system.Restoration of a depth-converted seismic profile across the Hangjinqi Fault Zone(HFZ) in the eastern Hangjinqi area shows one compression that created anticlinal structures in the Late Triassic, and two extensions in ~Middle Jurassic and Late Early Cretaceous, which were interrupted by inversions in the Late Jurassic–Early Early Cretaceous and Late Cretaceous, respectively.Hydrocarbon generation at the well locations in the Central Ordos Basin(COB) began in the Late Triassic.Basin modeling of Well Zhao-4 suggests that hydrocarbon generation from the Late Carboniferous–Early Permian coal measures of the northern Shanbei Slope peaked in the Early Cretaceous, predating the inversion in the Late Cretaceous.Most source rocks in the Shanbei Slope passed the main gas-migration phase except for the Hangjinqi area source rocks(Well Jin-48).Hydrocarbons generated from the COB are likely to have migrated northward toward the anticlinal structures and traps along the HFZ because the basin-fill strata are dipping south.Faulting that continued during the extensional phase(Late Early Cretaceous) of the Hangjinqi area probably acted as conduits for the migration of hydrocarbons.Thus, the anticlinal structures and associated traps to the north of the HFZ might have trapped hydrocarbons that were charged from the Late Carboniferous–Early Permian coal measures in the COB since the Middle Jurassic.     

河北省阜城县韩关地裂缝的影响因素与防治措施

河北省阜城县韩关地裂缝的出现给当地人民的生命财产造成了很大的威胁和损失。文章阐述了韩关地裂缝的发育形态、分布特征以及地质灾害危害程度,分析了地裂缝的影响因素及形成机理,预测了地裂缝发展趋势,提出了防治地裂缝的措施和建议,为防灾减灾提供了科学依据。     

坝基软弱结构面工程特性的动态研究方法与应用

水电工程具有规模大、施工快、地质缺陷不易揭露等特点,特别是对于水电工程的安全运营至关重要的深层抗滑稳定性问题.基于上述原因,本文以金沙江观音岩水电站为例,借助坝基开挖,总结出工程地质条件软弱结构面展布特征动态评价软弱结构面参数动态取值坝基稳定性评价这一套坝基软弱结构面动态评价方法,并以软弱结构面展布特征与参数动态研究为核心,建立起合理的坝基深层抗滑稳定性评价方法.实践表明,该套方法能合理地评价重力坝抗滑稳定性问题,保证水电工程的安全运营.     

松软地层防渗灌浆帷幕结构性状实验研究

松软地层透水率较大,防渗灌浆工程吃浆量相对较大,浆液扩散极不规则,形成的防渗帷幕,包括防渗幕体厚度、力学性能、防渗效果等结构性状难以准确把握,现有的方法和技术主要采用压水试验、标贯、钻孔取心、物探等方法获取相关信息,但带有极大的不确定性,直接影响到防渗质量的评价。在现场进行多工况灌浆原型试验研究,通过注水试验、孔斜测定、取心测试、全断面开挖等多种方法,真实呈现防渗幕体的性状,包括幕体有效厚度及其影响范围、幕体强度性能和渗透性能。结果表明,在松软地层采用浆体封闭、脉动灌浆控制灌浆工艺,孔距1.5m,两排排距0.8m,并采用适宜的灌浆控制参数灌注可控性黏土水泥浆材,简便高效,孔周挤密区、结石体及胶结体形成的有效幕体均一性好,防渗效果达到5lu以下,灌后28d结石体强度达到3MPa以上。灌浆工艺和参数可直接供类似地层应用。对于不同类型地层在不同灌浆材料、灌浆工艺、灌浆参数情形下的灌浆结构性状,有必要研发物理模型进行大样本室内试验研究。     

渤海海域W油田新近系明化镇组河流相砂体结构特征

利用野外露头、现代沉积和大量岩心以及钻测井资料,以高分辨率层序地层学原理为指导,结合地震和探地雷达,分析了W油田新近系明化镇组明下段河流相层序格架和砂体结构的沉积特征,总结了砂体的发育规模特征,建立了河流相砂体的沉积模式,为海上油田开发及后期调整提供依据和指导。研究表明,渤海海域明化镇组河流相砂体结构划分为堆叠型、侧叠型和孤立型3种类型共7种样式,其中侧叠型又分为紧密型、疏散型和离散型;孤立型又分为下切侵蚀型、孤立河道和决口扇;河道砂体厚度为2.1~15m,平均6.75m;宽度为200~1 225m,平均宽度519m。决口扇砂体厚约2~3m,宽度为150~450m,平均宽度300m。河流相砂体结构受控于湖平面的变化。不同的湖平面变化下发生堆叠型、侧叠型和孤立型规律性的砂体结构变化。     

A Bayesian network approach for predicting seismic liquefaction based on interpretive structural modeling

The Bayesian network (BN) is a type of graphical network based on probabilistic inference that has been gradually applied to assessment of seismic liquefaction potential. However, how to construct a robust BN remains underexplored in this field. This paper aims to present an efficient hybrid approach combining domain knowledge and data to construct a BN that facilitates the integration of multiple factors and the quantification of uncertainties within a network model to assess seismic liquefaction. Initially, only using given domain knowledge, a naive network model can be constructed using interpretive structural modeling. Thereafter, some effective information about the naive model is provided to construct a robust model using structural learning of BN from historic data. Finally, the returning predictive results and the predictive results are compared to other methods including non-probabilistic and probabilistic models for seismic liquefaction using the metrics of the overall accuracy, the area under the curve of receiver operating characteristic, prediction, recall and F₁ score. The methodology proposed in this paper achieved better performance, and we discussed the power and value of the proposed approach at the end of this paper, which suggest that BN is a good alternative tool for seismic liquefaction prediction.