Prediction Model of Coal Reservoir Pressure and its Implication for the Law of Coal Reservoir Depressurization

The main methods of coalbed methane(CBM) development are drainage and depressurization, and a precise prediction of coal reservoir pressure is thus crucial for the evaluation of reservoir potentials and the formulation of reasonable development plans. This work established a new reservoir pressure prediction model based on the material balance equation(MBE) of coal reservoir, which considers the self-regulating effects of coal reservoirs and the dynamic change of equivalent drainage area(EDA). According to the proposed model, the reservoir pressure can be predicted based on reservoir condition data and the actual production data of a single well. Compared with traditional reservoir pressure prediction models which regard EDA as a fixed value, the proposed model can better predict the average pressure of reservoirs. Moreover, orthogonal experiments were designed to evaluate the sensitivity of reservoir parameters on the reservoir pressure prediction results of this proposed model. The results show that the saturation of irreducible water is the most sensitive parameter, followed by Langmuir volume and reservoir porosity, and Langmuir pressure is the least sensitive parameter. In addition, the pressure drop of reservoirs is negatively correlated with the saturation of irreducible water and the Langmuir volume, while it is positively correlated with porosity. This work analyzed the reservoir pressure drop characteristics of the CBM wells in the Shizhuangnan Block of the Qinshui Basin, and the results show that the CBM reservoir depressurization can be divided into three types, i.e., rapidly drop type, medium-term stability type, and slowly drop type. The drainage features of wells were reasonably interpreted based on the comprehensive analysis of the reservoir depressurization type; the latter was coupled to the corresponding permeability dynamic change characteristics, eventually proving the applicability of the proposed model.     

贵州梵净山前寒武系甚低级变质作用研究

本文运用伊利石结晶度、绿泥石结晶度、云母b0值和绿泥石地质温度计研究了梵净山前寒武系甚低级变质作用。结果表明经Kisch伊利石结晶度标样校正的伊利石结晶度Kübler指数为0.20~0.99°Δ2θ,绿泥石结晶度árkai指数为0.22~0.63°Δ2θ。由此阐明梵净山前寒武系经历了成岩作用到浅变质作用的影响,迄今依然保留了成岩带、近变质带和浅变质带的岩石记录。成岩岩石具有伊蒙混层特征成岩指示矿物,浅变质带具有钠云母特征变质指示矿物。钾云母(伊利石)b0值范围为:0.9000~0.9045nm;平均0.9018nm,b0值累积频率曲线分布介于典型中压—中低压系列之间,估算的压力为366MPa。峰期变质温度为293~364℃,平均342℃,古变质温压梯度为27℃/km。近变质带界线穿越地层和梵净山背斜轴线,表明甚低级变质作用为成岩-构造运动同期或后期构造增厚引起下部和底部岩石随温压的升高而产生的。     

三维高频远场平面波电磁勘探中的E_z研究

随着电磁探测的发展,三维精细勘探为复杂地质模型的分析提供了有效工具,为了更精细地研究大地介质的特性,利用三维矢量有限元模拟分析了三维异常模型的Ez、Hz分量的响应特征。Ez分量对界面异常敏感,在界面处存在突变;Hz分量则在界面处不存在突变,但界面处出现Hz分量极值,对异常体的变化也有一定的灵敏度。同时,进一步提出采用上下两个测点的数据比值进行归一化处理来获得稳定的传输函数。     

The Middle–Late Triassic Closure of the East Paleotethys Ocean: Paleomagnetic Evidence from the Baoshan Terrane, China

正Objective It is still controversial about when,where and how the East Paleotethys Ocean closed due to the lack of reliable paleomagnetic data from the blocks or terranes located in both sides of the suture,which prohibits our better understanding of a series of key scientific issues such as how major blocks of East Asia collided together,and the     

南祁连党河南山中段科克巴斯陶玄武岩年代学、地球化学特征及其地质意义

与柴北缘和北祁连相比,南祁连研究程度偏低,对其各个阶段的构造演化缺少精确时限。对分布于南祁连党河南山中段的科克巴斯陶玄武岩进行了岩石地球化学及锆石U-Pb年代学研究,定年结果显示,该玄武岩成岩年龄为713±4.6Ma,为新元古代震旦纪。岩石地球化学分析表明,科克巴斯陶玄武岩SiO2含量为45.08%~49.81%,MgO为4.37%~6.67%,Na2O为2.95%~3.71%,K2O为0.28%~1.92%,TiO2为1.40%~2.01%,与拉斑玄武岩平均值相似。Nb/Y-SiO2图解显示科克巴斯陶玄武岩属亚碱性系列拉斑玄武岩。其ΣREE为(75.47~124.00)×10^-6,LREE/HREE为4.2~6.19。(La/Yb)N为3.67~6.18,(La/Sm)N为1.83~2.64,球粒陨石标准化稀土元素配分曲线图呈轻稀土明显富集的右倾型。原始地幔标准化微量元素蛛网图上,岩石以富集Sr、K、Rb、Ba为特征。岩石地球化学特征显示科克巴斯陶玄武岩岩浆为具OIB性质的地幔源区,其形成于板内洋岛构造环境。结合区域地层对比及锆石测年成果,将原划定的志留系巴龙贡嘎尔组进行了重新解体,由南至北,分别为志留系巴龙贡嘎尔组变砂岩段、新元古界震旦系天峻组火山岩段和中新元古界拐杖山组片岩段。     

石家庄市大气PM1、PM2.5和PM10中重金属元素分布特征及来源的对比研究

为了解元素(尤其是重金属元素)在不同粒径大气颗粒物中的分布规律、污染特征及来源,于2016年在石家庄市采集PM1、PM2.5和PM10样品。利用等离子体质谱仪(ICP-MS)测定了Al、Ti、V、Cr、Mn、Fe、Cu、Zn、As、Sb、Hg、Pb和Cd共13种元素的质量浓度,采用富集因子(EF)法分析各种元素在PM1、PM2.5和PM10中的分布特征,并通过主成分分析法讨论了这些元素的主要来源。富集因子分析显示出Al、Fe、Ti、Mn受人为因素影响较少(EF<10),其他元素则出现显著至极强的人为影响,尤其是Cd元素(EF>103),并发现颗粒物粒径较小时,富集因子较大,即人为因素影响更重。主成分分析表明：PM1中元素有工业冶炼及燃煤活动、机动车燃油排放、生活燃煤3个来源,PM2.5中元素有地壳源、电厂及居民生活燃煤、金属冶炼等工业活动、机动车尾气4个来源,PM10中元素有化石燃料燃烧和地壳源、与机动车相关的道路扬尘及工业尘、垃圾焚烧及机动车排放与磨损、燃煤活动4个来源。     

浙西下寒武统大陈岭组地震液化脉微量元素特征研究

地震液化脉是地震作用引起的软沉积变形的重要构造之一,前人对脉体形态学和动力学做了大量的研究工作,但对其成因的微观地球化学行为研究较少。笔者采取开化裴岭脚剖面2期地震事件沉积的3套地震液化脉层样品21块,分别对其脉体和含脉体围岩做了微量元素分析。结果显示,液化脉中Cs、Ba、Th、Zr、Hf、Cr、Rb、Nb等反映陆源性质元素明显高于含脉体围岩,而Sr、Y、Ni反映海相沉积特征元素则表现为含脉体围岩高于脉体。通过对V、Mo富集度和微量元素特征参数Sr/Ba、Th/U等的综合研究,发现液化脉体表现为氧化环境,含脉体围岩为还原环境,且脉体和围岩均具有淡水作用特点。研究认为,早寒武世大陈岭期白云质灰岩沉积过程中有蚀源区陆源碎屑物的补入;在地震突发振动力作用下,富含水的软沉积层液化泄水,因化学沉积物和碎屑沉积物性质的差异,塑性碳酸盐沉积物随水部分流失,使得单位体积内碳酸盐沉积含量低于围岩,导致脉体中更富陆源物质;地震事件沉积层属潮上带,特别是地震液化泄水后期至成岩期,含地震液化脉沉积层曾暴露地表,受后期陆源物的再补给及大气降水淋滤蚀变作用影响,表现为古气候和古盐度异常,为浙西大陈岭组浅水沉积提供了地球化学的证据。     

北京城乡接合部地表颗粒物中重金属污染负荷及健康风险评价

随着我国城市建设的不断推进,城市径流污染越来越受到关注。地表颗粒物(RDS)是重金属的重要载体,雨水径流对地表颗粒物的冲刷引起的径流重金属污染问题凸显。本研究选取北京市城乡接合部作为研究区域,研究区域内地表颗粒物中重金属(As、Cd、Cr、Cu、Mn、Pb、Zn)污染负荷并进行健康风险评估。结果表明,地表颗粒物含有的重金属中,除Mn外,As、Cd、Cr、Cu、Pb、Zn的平均浓度均超过背景值。其中,Cd的平均浓度是其背景值的3倍,Cr的平均浓度是其背景值的4倍之多。在径流冲刷条件下,Cr的污染负荷在各研究区域均最高,为其他重金属的3~4倍。暴露模型计算表明,重金属非致癌日平均暴露量为手口摄入量＞皮肤吸收量＞吸入空气量,经手口接触是人体地表灰尘暴露风险的主要途径。对于非致癌风险,在芦求路主路以及黄鹅路十字路口区域存在对于儿童的非致癌风险,整体区域内成人所受非致癌风险较低。各研究区域内重金属呼吸暴露途径的总致癌风险均低于环境阈值,致癌风险较低。