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991.
黏滞性地壳流对地壳及上地幔变形作用及动力机制,是大陆新生代造山带的一个重要研究内容.青藏高原中下地壳存在部分熔融或含水物质的黏滞性流体,已为一系列地球物理及岩石学研究所证实.为研究青藏高原东缘地壳流的动力作用,本文用密集的被动源宽频带地震台的观测数据,反演了地壳上地幔精细速度结构和泊松比.研究表明,川西及滇西北高原的中地壳内普遍存在低速层,而高泊松比的地壳只分布在川西北地区.位于中地壳的黏滞性地壳流从青藏高原腹地羌塘高原流出,自北西向南东流入青藏高原东缘.这些黏滞性地壳流带动了上地壳块体水平移动,当它们受到刚强的四川盆地及华南地块阻挡时将发生分层作用,地壳流将分为二或更多分支不同方向的分流,向上的一支地壳流将对上地壳产生挤压,引起地面隆升,向下的一支地壳流将使莫霍面下沉加厚下地壳·黏滞性地壳流的运动在地壳中产生应变破裂发生强烈地震活动,地震的空间分布与震源机制也受到地壳流动力作用控制. 相似文献
992.
本研究基于分层黏弹介质模型,考虑同震位错效应和震后黏滞松弛效应,分析巴颜喀拉地块东端1976年松潘地震序列、2008年汶川8.0级地震、2013年芦山7.0级地震和2017年九寨沟7.0级地震等多次大地震的可能存在的触发关系,计算大地震引起的周边各主要断裂的库仑应力变化.结果显示,1976年松潘地震序列各次地震间关系密切,存在明显的相继触发作用;综合考虑同震和震后效应,汶川8.0级地震对同属于龙门山断裂带的芦山7.0级地震有触发作用,且震后效应影响不可忽略;1976年地震序列,特别是1976年8月16日7.2级地震促进了2017年8月8日九寨沟7.0级地震的发生;汶川地震对九寨沟地震的影响研究中,采用不同的汶川地震同震位错模型,计算结果有差异.综合考虑多次大地震对周边断裂带的影响,龙门山断裂带南段、鲜水河断裂带中南段、平武—青川断裂北段、灌县—安县断裂北段、文县断裂的累积库仑应力增加显著,巴颜喀拉地块东端的东昆仑断裂带东段、迭部—白龙江断裂带西段以及金沙江断裂带库仑应力亦有所增加.综合考虑各重要断裂带已有的大地震危险性分析结果和库仑应力变化计算结果,龙门山断裂带南段、鲜水河断裂带中南段、东昆仑断裂带玛沁—玛曲段和金沙江断裂带的发震紧迫性有所增强,需引起关注. 相似文献
993.
银川盆地是华北克拉通西部构造活动较为强烈的一个新生代断陷盆地.为了研究银川盆地的地壳浅部结构和活动断裂特征,我们利用2014年在银川盆地完成的深地震反射剖面数据,采用初至波层析成像方法得到了银川盆地高精度的基底P波速度结构和构造形态;考虑到仅根据速度结构剖面还难以确定断裂的准确位置、断层上断点埋深、断层的近地表构造组合样式等特征,研究中还采用浅层地震反射波勘探方法对银川盆地内的隐伏断裂和1739年平罗8.0级地震的地表破裂带浅部结构进行了高分辨率成像.研究结果表明:银川盆地与两侧地块的浅层P波速度结构和沉积盖层厚度差异较大,银川盆地总体呈现出明显的低速结构特征,盆地基底面起伏变化较大,基底最深处位于芦花台断裂和银川断裂之间的银川市下方,其深度约为7000~7200 m;贺兰山隆起区显示为明显的高速特征,地表出露中-古生代基岩地层,缺失新生代地层;鄂尔多斯地块西缘的浅层P波速度明显高于银川盆地,基底埋深相对较浅,推测其新生界地层厚度小于2500 m.浅层地震反射剖面揭示的地层反射界面形态和断裂的浅部构造特征非常清楚,黄河断裂、贺兰山东麓断裂、银川断裂和芦花台断裂不仅是错断盆地基底的断裂,而且还是第四纪以来的隐伏活动断裂,这些断裂的交替活动形成了"堑中堑"的盆地结构,并对银川盆地的形成、盆地内的新生代地层厚度和第四纪沉降中心具有重要的控制作用;在近地表这些断裂表现为由2~3条断层组成的"Y字形"断裂构造,且主断裂的最新活动可追踪至晚更新世末期或全新世,是构造继承性活动的结果.本文的研究结果不仅可为进一步分析银川盆地的基底结构、隐伏断裂特征和活动构造研究等提供新的地震学证据,而且还可为该区城市规划中避让活动断层提供科学依据. 相似文献
994.
宽频带海底地震仪(OBS)探测是研究海底深部结构最有效的地球物理方法,其中SKS分裂参数测量已被广泛应用于上地幔各向异性的研究.传统的SKS分裂参数测量需要知道确切的OBS水平分量方位,然而OBS的投放过程是自由式的,其两个水平分量在海底的方位是不确定的.本文通过SKS快慢波的运动学特性,发展了一种在未知OBS水平分量方位的情况下直接求取SKS分裂参数的方法,分别用合成地震图和实际观测到的远震资料对该方法进行了数值检验,表明其是一种有效的获得SKS分裂参数的方法,而且相比于传统的先确定OBS水平分量方位,再进行SKS分裂的方法,此方法能够同时获得SKS分裂参数和OBS水平分量方位,应用简便,且减少了累积误差,获得的SKS分裂参数可靠性更高. 相似文献
995.
本文利用"中国地震科学台阵"探测项目在南北地震带北段布设的678个流动地震台站在2013年10月至2015年4月期间记录到的远震波形数据,经过波形互相关拾取到473个远震事件共130309条P波走时残差数据,通过远震层析成像研究获得了该区(30°N-44°N,96°E-110°E)下方0.5°×0.5°的P波速度扰动图像.结果显示,研究区下方P波速度结构显示强烈的不均一性和显著的分区、分块特征.岩石圈速度结构具有显著的东西差异:祁连、西秦岭和松潘甘孜地块组成的青藏东北缘地区显示明显的低速异常,而属于克拉通性质的鄂尔多斯地块和四川盆地则显示高速异常,表明东部克拉通块体对青藏高原物质的东向挤出起到了强烈的阻挡作用.阿拉善地块显示出弱高速和局部弱低速的异常并存的特征.阿拉善地块西部显示低速异常,而东部与鄂尔多斯相邻的地区显示高速异常,可能表明该地区的岩石圈的变形主要受到青藏高原东北缘的挤压作用.在鄂尔多斯和四川盆地之间的秦岭下方100~250 km深度上表现为明显的低速异常,表明该处可能存在软流圈物质的运移通道.鄂尔多斯北部的河套裂陷盆地下方在100~500 km深度内低速异常表现明显,说明该区有深部热物质上涌且至少来源于地幔过渡带.青藏东北缘上地幔显示低速异常且地幔过渡带中出现明显的高速异常,这种结构模式暗示了在青藏高原东北缘可能发生了岩石圈拆沉作用,而高速异常体可能是拆沉的岩石圈地幔. 相似文献
996.
M. Behm 《Geophysical Prospecting》2017,65(2):563-580
The analysis of seismic ambient noise acquired during temporary or permanent microseismic monitoring campaigns (e.g., improved/enhanced oil recovery monitoring, surveillance of induced seismicity) is potentially well suited for time‐lapse studies based on seismic interferometry. No additional data acquisition required, ambient noise processing can be automatized to a high degree, and seismic interferometry is very sensitive to small medium changes. Thus there is an opportunity for detection and monitoring of velocity variations in a reservoir at negligible additional cost and effort. Data and results are presented from an ambient noise interferometry study applied to two wells in a producing oil field in Romania. Borehole microseismic monitoring on three component geophones was performed for four weeks, concurrent with a water‐flooding phase for improved oil recovery from a reservoir in ca. 1 km depth. Both low‐frequency (2 Hz–50 Hz) P‐ and S‐waves propagating through the vertical borehole arrays were reconstructed from ambient noise by the virtual source method. The obtained interferograms clearly indicate an origin of the ambient seismic energy from above the arrays, thus suggesting surface activities as sources. It is shown that ambient noise from time periods as short as 30 seconds is sufficient to obtain robust interferograms. Sonic log data confirm that the vertical and horizontal components comprise first arrivals of P‐wave and S‐waves, respectively. The consistency and high quality of the interferograms throughout the entire observation period further indicate that the high‐frequency part (up to 100 Hz) represents the scattered wave field. The temporal variation of apparent velocities based on first‐arrival times partly correlates with the water injection rate and occurrence of microseismic events. It is concluded that borehole ambient noise interferometry in production settings is a potentially useful method for permanent reservoir monitoring due to its high sensitivity and robustness. 相似文献
997.
Statistical facies classification from multiple seismic attributes: comparison between Bayesian classification and expectation–maximization method and application in petrophysical inversion 
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下载免费PDF全文 We present here a comparison between two statistical methods for facies classifications: Bayesian classification and expectation–maximization method. The classification can be performed using multiple seismic attributes and can be extended from well logs to three‐dimensional volumes. In this work, we propose, for both methods, a sensitivity study to investigate the impact of the choice of seismic attributes used to condition the classification. In the second part, we integrate the facies classification in a Bayesian inversion setting for the estimation of continuous rock properties, such as porosity and lithological fractions, from the same set of seismic attributes. The advantage of the expectation–maximization method is that this algorithm does not require a training dataset, which is instead required in a traditional Bayesian classifier and still provides similar results. We show the application, comparison, and analysis of these methods in a real case study in the North Sea, where eight sedimentological facies have been defined. The facies classification is computed at the well location and compared with the sedimentological profile and then extended to the 3D reservoir model using up to 14 seismic attributes. 相似文献
998.
Microseismic events enhancement and detection in sensor arrays using autocorrelation‐based filtering 下载免费PDF全文
下载免费PDF全文 Entao Liu Lijun Zhu Anupama Govinda Raj James H. McClellan Abdullatif Al‐Shuhail SanLinn I. Kaka Naveed Iqbal 《Geophysical Prospecting》2017,65(6):1496-1509
Passive microseismic data are commonly buried in noise, which presents a significant challenge for signal detection and recovery. For recordings from a surface sensor array where each trace contains a time‐delayed arrival from the event, we propose an autocorrelation‐based stacking method that designs a denoising filter from all the traces, as well as a multi‐channel detection scheme. This approach circumvents the issue of time aligning the traces prior to stacking because every trace's autocorrelation is centred at zero in the lag domain. The effect of white noise is concentrated near zero lag; thus, the filter design requires a predictable adjustment of the zero‐lag value. Truncation of the autocorrelation is employed to smooth the impulse response of the denoising filter. In order to extend the applicability of the algorithm, we also propose a noise prewhitening scheme that addresses cases with coloured noise. The simplicity and robustness of this method are validated with synthetic and real seismic traces. 相似文献
999.
We present a new inversion method to estimate, from prestack seismic data, blocky P‐ and S‐wave velocity and density images and the associated sparse reflectivity levels. The method uses the three‐term Aki and Richards approximation to linearise the seismic inversion problem. To this end, we adopt a weighted mixed l2, 1‐norm that promotes structured forms of sparsity, thus leading to blocky solutions in time. In addition, our algorithm incorporates a covariance or scale matrix to simultaneously constrain P‐ and S‐wave velocities and density. This a priori information is obtained by nearby well‐log data. We also include a term containing a low‐frequency background model. The l2, 1 mixed norm leads to a convex objective function that can be minimised using proximal algorithms. In particular, we use the fast iterative shrinkage‐thresholding algorithm. A key advantage of this algorithm is that it only requires matrix–vector multiplications and no direct matrix inversion. The latter makes our algorithm numerically stable, easy to apply, and economical in terms of computational cost. Tests on synthetic and field data show that the proposed method, contrarily to conventional l2‐ or l1‐norm regularised solutions, is able to provide consistent blocky and/or sparse estimators of P‐ and S‐wave velocities and density from a noisy and limited number of observations. 相似文献
1000.