便携式钻机在水泥灰岩矿勘查中的应用

便携式钻机已广泛应用于地质与工程勘查中,为了进一步扩大便携式钻机的应用范围,倡导绿色勘查,在湖南省东安县王师岭矿区水泥灰岩矿勘查中,采用ZY-25型便携式钻机以钻代槽进行地表取样,取得了较好的效果。应用实践表明,当矿区构造简单,岩层产状较平缓且稳定,矿体厚度较大,矿石有用组分含量较高且分布均匀,有害组分含量较低时,采用便携式钻机取样代替槽探取样评价矿床是可行的。     

Submersion simulation in a typical debris flow watershed of Jianzhuangchuan catchment,Loess Plateau

Debris flow is one of the most serious and frequent geological disasters that occur in the Loess Plateau. The outbreak of a debris flow is sudden, ferocious, swift, and destructive. The characteristics and mechanism of debris flow were explored in this study via survey, numerical simulation, and simulation analysis in a Loess Plateau area (Huangling County, Shaanxi Province, China). Numerical models and formulas corresponding to the occurrence and movement mechanism were established based on the HEC-RAS, HEC-GeoRAS, and SWAT results. The range of debris flow deposition was determined through capturing the debris flow free surface. A hydrological model and critical rainfall threshold were determined in order to provide technical support for debris flow forecasting in the Loess Plateau. The results suggest that 10-year floods do not submerge any portion of the basin. One village area was affected by the 100-year flood (total area of 0.648 km²) while four villages areas were submerged by the 1000-year flood (total area of 1.39 km²). The method presented here may provide a reliable scientific basis for mitigating loss due to debris flow hazards.     

基于加速度传感器数据融合的隧道施工地面沉降监测技术研究

地面沉降的监测和控制一直是制约隧道施工安全的关键问题,目前地表沉降量一般利用水准仪等传统设备、通过人工定期测量获取,无法进行实时动态观测。随着无线传感器网络和微机电系统的高速发展,通过在地表布置无线传感器节点,即可对隧道施工引起的地面沉降进行实时监测。本文对处于盾构施工期的某隧道开展了基于加速度传感器数据融合的地面沉降监测技术研究。首先,在隧道上方和两侧布置了内嵌两套加速度传感器的节点盒,获取原始监测数据;然后,利用旋转矩阵求解其空间法向量,并通过投影得到地表节点在隧道轴向上的倾斜角;最终,通过集中式卡尔曼滤波对上述两类传感器的倾斜角进行融合估计,推导出传感器倾斜角随时间的变化情况。基于该方法,通过布置传感器节点监测网,即可估算隧道施工引起的地表绝对沉降量。     

The Third Editorial Committee of Earth Science Frontiers A BRIEF INTRODUCTION TO OVERSEA MEMBERS OF THE EDITORIAL BOARD

位于青藏高原东北缘的多福屯第三纪火山岩，为钠质基性火山岩系。该火山岩（La／Yb）N值在6—11，∑REE平均为117，样品普遍具有不相容元素富集、Pb亏损以及弱的Nb、Ta正异常，Nb／U和Ce／Pb平均值分别为30和17；样品的87^Sr／^86Sr值为0．7041～O．7069，Nd初始值为0．5129（εNd（t）=6），△^207Pb／^240Pb和△^208Pb／^204Pb分别在11～19和73-84之间，结合高的Sr初始值，表现了特征的Dupal（高放射成因铅）异常。地球化学特征表明，该火山岩属于似OIB性质的陆内火山岩，源区具有DM与EMⅡ混合特点。个别岩石表现出明显陆壳混染的迹象。火山岩源区特征反映了OIB类岩石的复杂性，可能由区域原、古特提斯地幔继承而来，因而是原地的和固有的，并非与青藏高原物质向东挤出有关。通过与邻区同时代火山岩的对比推断，整个高原东北缘新生代火山岩幔源区具有小尺度的不均一性。高原东北缘新生代火山岩的发育可能与较大规模的贺兰-川滇南北复合构造有关。     

Temporal–spatial variability of atmospheric and hydrological natural disasters during recent 500 years in Inner Mongolia,China

Natural Hazards - Inner Mongolia, located in the northern China, is a natural disaster-prone region. This study is dedicated to making a comprehensive and quantitative analysis of the...     

回采工作面地质构造精细化综合探测技术研究与应用

小型地质构造是造成煤与瓦斯突出事故的主要因素,小构造的精准探测是亟需解决的关键问题。煤岩界面高精度探测是查明小构造,实现透明工作面的基础。声波远探测技术具有探测范围大、分辨率高、可成像等优点,能够实现对煤岩界面的精准识别。为此,提出了基于穿层钻孔声波远探测的煤岩界面探测技术,通过在井下穿层钻孔内布置声波远探测仪,采集孔周煤岩分界面产生的阵列波形,并利用反射波信息反演获得煤岩界面成像图,进一步结合钻孔群,实现工作面的整体勘察。首先,利用COMSOL Multiphysics软件构建出煤系单极远探测数值模型;然后通过模型正演分析全波信号与波场快照的全时空变化规律;最后对远探测声波数据进行反演实现煤岩界面的偏移成像。正演结果表明：模型中煤层的纵波波速比顶底板岩层慢1.2 km/s左右,声波在煤层中传播时能量衰减得更快,同时声波穿过煤岩界面时会出现主频的漂移;当测点趋近于仪器从底板岩层向煤层过渡的位置时,直达波的变化特征为幅度的骤降与声时的增大,而界面反射波的特征为时间−深度域中倾斜同相轴的斜率改变。对采集到的波形数据进行滤波、波场分离、反射波增强、偏移成像四个步骤完成模型反演,成像结果与原始模型相似度高,煤岩界面倾角误差0.6°、煤厚误差0.212 m,穿层钻孔远探测声波有限元方法可以有效地反演出煤岩界面的位置和形态特征。该研究可为声波远探测技术应用于穿层钻孔煤岩界面识别提供基础理论支撑。

     

3D Step-by-step inversion strategy for audio magnetotellurics data based on unstructured mesh

A three-dimensional (3D) step-by-step inversion strategy for audio magnetotellurics(AMT) is investigated in this study.The objective function is minimized by it...     

嘉峪关地震台地电阻率观测效能评价

根据中国地震局电磁学科制定的<地电台站观测效能评估方案>,评估了嘉峪关地震台地电阻率观测效能,得到:嘉峪关地震台台址结构条件、电磁环境、台站观测系统符合地电阻率台站建设规范、观测方法标准等规定的技术要求;数字化地电阻率观测精度不低于3‰测值,保证了准确测量不低于1%地电阻率异常的指标需求;该台地电阻率观测对本区及附近中等以上地震有一定监测能力,并记录了对应远距离大震的1年尺度地电阻率异常,其观测数据在本区及附近地震监测、预报和地震科学研究及相关科学研究中有重要价值.     

基于井位的地震属性融合技术研究

在利用地震属性对储层预测的研究中,大部分理论方法主要存在利用单一属性预测储层这一缺陷,在实际应用中则存在单一属性不能正确预测储层的问题,这些问题应通过多元属性融合技术来解决,本文在已有井资料的基础上,对属性融合技术进行了研究,分析各属性对储层的影响因素,利用井位计算各地震属性融合比重,有机的结合了各属性的优点,提出了这一问题新的解决方法.实际资料的应用显示,该方法在储层预测中取得了良好的效果.     

A high accurate automated first-break picking method for seismic records from high-density acquisition in areas with a complex surface

As the application of high-density high-efficiency acquisition technology becomes more and more wide, the areas with complex surface conditions gradually become target exploration areas, and the first-break picking work of massive low signal-to-noise ratio data is a big challenge. The traditional method spends a lot of manpower and time to interactively pick first breaks, a large amount of interactive work affects the accuracy and efficiency of picking. In order to overcome the shortcoming that traditional methods have weak anti-noise to low signal-to-noise ratio primary wave, this paper proposes a high accurate automated first-break picking method for low signal-to-noise ratio primary wave from high-density acquisition in areas with a complex surface. Firstly, this method determines first-break time window using multi-azimuth spatial interpolation technology; then it uses the improved clustering algorithm to initially pick first breaks and then perform multi-angle comprehensive quality evaluation to first breaks according to the following sequence: ‘single trace → spread → single shot → multiple shots’ to identify the abnormal first breaks; finally it determines the optimal path through the constructed evaluation function and using the ant colony algorithm to correct abnormal first breaks. Multi-azimuth time window spatial interpolation technology provides the base for accurately picking first-break time; the clustering algorithm can effectively improve the picking accuracy rate of low signal-to-noise ratio primary waves; the multi-angle comprehensive quality evaluation can accurately and effectively eliminate abnormal first breaks; the ant colony algorithm can effectively improve the correction quality of low signal-to-noise ratio abnormal first breaks. By example analysis and comparing with the commonly used Akaike Information Criterion method, the automated first-break picking theory and technology studied in this paper has high picking accuracy and the ability to stably process low signal-to-noise ratio seismic data, has a significant effect on seismic records from high-density acquisition in areas with a complex surface and can meet the requirements of accuracy and efficiency for massive data near-surface modelling and statics calculation.