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1.
井下地电阻率观测影响系数分析——以江宁地震台为例   总被引:3,自引:2,他引:1  
樊晓春  解滔  吴帆  袁慎杰 《中国地震》2019,35(2):347-358
采用水平层状均匀介质中点电源位于任意深度时的电位解析表达式,以江宁台3层电性结构为例,分析了井下对称四极地电阻率观测时各层影响系数随深度、极距的变化,并结合探测深度探讨了实施井下观测时影响系数在选择供电极距和电极埋深时的作用。结果表明,对于"K"型电性结构,江宁台井下观测对地表、浅层干扰有较强的抑制作用,其短极距观测对地表、浅层干扰的抑制能力显著优于长极距观测;长极距观测在电极埋深H小于100m时对地表介质季节性的干扰具有放大作用;浅层影响系数一定时,电极埋深和供电极距需同时增加;江宁台井下观测供电极距AB/2取100~150m、电极埋深H为250m较为合理。  相似文献   

2.
井下视电阻率观测影响系数分析   总被引:6,自引:6,他引:0       下载免费PDF全文
解滔  杜学彬  卢军 《中国地震》2016,32(1):40-53
采用水平层状均匀介质中点电流源位于任意深度时电位解析表达式,分析了井下对称四极视电阻率观测时影响系数随深度和极距的变化。结果表明对于固定的观测极距,影响系数与电极埋深之间关系复杂;对于某些电性结构和在一定深度范围内,井下观测对表层干扰具有放大作用。对于固定的电极埋深,小极距观测主要体现观测装置所在处的介质层信息,深部介质的影响系数随着极距的加大而增加,浅层影响系数一般先上升后下降;观测极距足够大时,井下观测影响系数逐渐接近于地表观测的影响系数,井下观测的优势得不到体现。本文以天水台为例讨论了实施井下观测时影响系数在选择供电极距和电极埋深过程中的应用。分析结果对在不同电性结构中实施井下地电观测时具有一定的参考意义。  相似文献   

3.
随着经济建设的发展, 地电阻率定点观测区环境被干扰严重影响观测质量, 装置系统在地表布设的工作方式难以取得有效观测和持续发展, 因此装置系统向井下深部布设受到人们关注。 同时, 地表大极距观测方式难以持续发展, 也促使地电阻率定点观测向井下小极距观测方式发展。 井下小极距观测相比地表大极距观测占地面积小, 能较好地排除或减弱地表测区环境干扰对观测结果的影响, 既能适应经济发展的需要, 又能较好地为地震监测服务。 2018年, 在总结已建井下地电阻率台站布极方式和建设工艺的基础上, 新建延庆台井下小极距地电阻率观测。 本文重点分析了延庆台井下小极距地电阻率观测装置系统建设中的几个关键问题, 如水平向和垂直向观测相结合、 布极方式、 电极制作和埋设深度等装置系统技术过程, 以及水平向和垂直向观测装置系数的计算等。 延庆台建设较好地获得了近全空间观测布设, 从理论上解决了井下小极距地电阻率建设的难点, 为将来要进行井下小极距地电阻率观测装置系统建设的台站提供参考。  相似文献   

4.
为压制地电阻率浅层干扰、突出深部以地震预报为目的的有用信息,选取了小江断裂中段一个场点作为实例,研究了井下地电阻率前兆观测中确定电极埋深、电极间距等布极参数的方法。结果表明:选择井下电阻率观测布极参数时要考虑影响系数和探测深度2个主要因素,即地下潜水位面以上各地层的影响系数应远小于深部各层,探测深度范围内最底层(受孕震影响最大的层)的影响系数应远大于其它各层,观测系统的探测深度最好不小于已有震例指示的地电阻率观测系统的探测深度。按照该方法选择了所给场点的井下电阻率观测布极参数,即电极埋深200 m、供电极距1 050 m、测量极距350 m,按对称四极布置,可获得最佳观测效果。  相似文献   

5.
赵斐  叶青  解滔  范晔  张远富 《中国地震》2018,34(1):104-111
根据地电阻率影响系数理论,以平凉台4层电性结构为例,分析了井下对称四极地电阻率观测影响系数随深度和极距的变化。结果表明:对于固定的观测极距,影响系数与电极埋深之间的关系复杂;通过计算各层影响系数的大小,认为平凉台井下观测对地表及浅层干扰有较好的抑制作用,其分析结果可为在类似台址电性结构中实施井下地电阻率观测时选择电极埋深和供电极距提供参考。  相似文献   

6.
井下地电阻率观测的探测深度初步研究   总被引:1,自引:0,他引:1       下载免费PDF全文
对井下地电阻率观测的探测深度进行了研究,计算了均匀半空间和给定结构参数的水平层状介质模型在不同装置电极埋深下的探测深度,分析了探测深度与装置电极埋深和介质电阻率结构之间的关系,得到如下结果:①与地表观测相比,在供电极距为1 km左右时,探测深度随装置电极埋深的增大而增大,且增大的速度与装置电极埋深密切相关;当装置电极埋深h < 100 m时,探测深度的增大速度远小于装置电极埋深h≥100 m时. ②当装置电极埋深h < 50 m时,与地表观测相比探测深度增加很小,不超过10 m;当装置电极埋深相同时,供电极距越大,与地表观测相比探测深度增加得越小. ③对于水平层状电阻率均匀分层结构,在装置电极埋深相同的情况下,下伏低阻结构的探测深度显著大于下伏高阻结构.本文的研究结果表明,为了观测到深部电阻率的变化情况,首先需要查明测区电性结构,再进行综合分析,以确定井下地电阻率观测的装置电极埋深,其结果为深部电阻率变化研究提供了理论基础.   相似文献   

7.
采用2018年6月—2020年6月间ZD8MI地电阻率多极距观测系统在四0四台的观测数据,分析各测道的年变化特征,发现随着观测极距的不同各测道年变特征也不同;通过不同极距实验观测和年变化模拟分析表明,浅层电阻率的变化相对较大,而深层的变化相对较小,四0四台的年变化是由浅层介质电阻率随温度的季节性变化引起的,不同测道的年变形态受浅层不同深度介质电阻率的变化出现相位差异。因此利用多极距观测系统进行不同深度范围的地电阻率观测,对定量识别表层非震干扰显得尤为重要。  相似文献   

8.
以平凉井下地电观测装置为例,采用有限元数值模拟的方法分析地电阻率观测装置布设与金属管线类干扰的关系。结果表明:(1)垂直于测线方向的金属管线对地电阻率观测的影响明显小于平行于测线方向的影响,最有效的抑制方法是增大金属管线的避让距离。(2)金属管线位于布极中心区域时,加深电极埋深并不一定能有效抑制干扰;对于金属管线垂直于测线方向的情况效果是显著的,但对于平行于测线方向的情况效果并不理想。(3)金属管线对井下地电阻率观测的影响是相对复杂的,它与装置系统(观测极距、电极埋深)、分层介质电性结构、金属管线自身的属性(电导率、横截面积、长度、距离)等因素有关。本研究方法可以快速判定资料异常变化的性质,对异常跟踪工作具有一定的参考意义,还可以为新建井下地电观测装置提供理论依据,从而提高台站的观测效能。  相似文献   

9.
开展小极距井下地电阻率观测的可行性分析   总被引:2,自引:2,他引:0  
解滔  于晨  卢军 《中国地震》2019,35(1):14-24
目前,我国用于地震监测的地电阻率观测面临着两个难题:①测区范围较大导致台网稀疏且分布不均匀;②易受环境干扰。本文结合台站实际的地下电性结构,采用地电阻率解析表达式和有限元数值分析方法,对开展小极距井下地电阻率观测的可行性进行了讨论。结果表明:小极距井下观测方式能有效抑制地表电性异常体类干扰和年变化的影响,也能记录到地表大极距观测和井下大极距观测所能记录到的震前异常变化。小极距井下观测能大幅减小布极区范围,有助于地电阻率的足密度组网成场观测,可为解决目前地电阻率观测面临的难题提供一种可选方案。  相似文献   

10.
讨论了地电阻率观测装置系统深埋条件下的影响系数特征. 采用这类装置的目的在于减小甚至消除来自表层产生的干扰,以提取深部可能的地震信息. 采用水平层状介质模型,应用边界积分方程法计算了不同装置埋深、不同装置参数下的影响系数及其与结构参数间的关系. 结果表明,不同地层影响系数的大小与电阻率结构、电极埋深、供电极距有密切且复杂的关系. 这表明为了有效地压制表层干扰并观测到底层变化,首先需要精细地探查测区电性结构,然后在此基础上,通过理论分析确认装置埋深及选定装置参数.   相似文献   

11.
为加强2022年北京冬奥会举办地区的震情保障工作,2019—2020年,依托原有地电台网,建设平谷、通州、阳原、大同、代县、临汾、宝昌、和林格尔等8个小极距井下地电阻率观测站(点),目前均运行良好,与同台地表大极距地电观测相比,观测数据精度提高。选取2021年9—11月井下地电阻率观测站数据记录,就相对均方差、日精度、月精度、月离散度、变化幅度等指标,分析小极距井下地电阻率观测数据质量。结果表明,8个井下地电阻率观测站(点)运行稳定,观测数据精度较高,具备一定映震效能,可为冬奥会举办区域及周边地区的震情跟踪有效服务。  相似文献   

12.
肖武军  解滔  胡玉良 《中国地震》2020,36(1):146-152
根据冬奥会保障晋冀蒙监测能力提升项目的设计方案,在晋冀蒙交界及附近区域的宝昌、集宁、阳原、大同、代县、临汾、通州和平谷等8个地电阻率台站原观测场地建设井下小极距全空间地电阻率观测装置系统。参照该项目对井下地电阻率观测的技术要求,设计了井下地电阻率专用电缆,在项目实施过程中对专用电缆的导体直流电阻、线间绝缘电阻等主要指标进行了技术测试。测试结果表明,该专用电缆适用于本项目井下地电阻率观测,可保障井下地电阻率观测装置的长期稳定性。  相似文献   

13.
XIE Tao  LU Jun  YAN Wei 《地震地质》2019,41(6):1464-1480
Parts of the consecutive apparent resistivity monitoring stations of China have recorded clear diurnal variations. The relative amplitudes of diurnal variations at these stations range from 1.3‰ to 5.8‰. The daily accuracies of apparent resistivity observation are better than 1‰, because the background electromagnetic noise is rather low at these stations. Therefore, the diurnal variations of apparent resistivity recorded at these stations are real phenomena. The diurnal variation shapes can be divided into two opposite types according to their characteristics. One type is that the apparent resistivity data decreases during the daytime but increases during the nighttime(Type 1). The other type is the apparent resistivity data increases during the daytime but decreases during the nighttime(Type 2). There is a correspondence between the diurnal and annual variation patterns of apparent resistivity. For the monitoring direction with diurnal variation of Type 1, the apparent resistivity decreases in summer and increases in winter. However, for the monitoring direction with diurnal variation of Type 2, the apparent resistivity increases in summer and decreases in winter. We take an analysis on the mechanism of apparent resistivity diurnal variation, combining the influence factors of water-bearing medium's resistivity, the electric structure of stations, and the apparent resistivity sensitivity coefficient(SC)theory. Intuitively, diurnal variation of apparent resistivity is caused by diurnal variation of medium resistivity in the measured area. The diurnal variation of medium resistivity will inevitably be caused by the factors with diurnal variation. Among the possible factors, there is diural variation in earth tide and temperature. Our analysis displays that apparent resistivity diurnal variation is not caused by the usually-believed earth tide, but by the ground temperature difference between daytime and nighttime. The earth tide strain is too small to cause remarkable effects on the apparent resistivity data. On the other hand, the daily tide strain has two peak-valley variations, and its phase and amplitude has a period of approximate 28 days. However, the apparent resistivity data do not show these corresponding features to earth tide. Furthermore, the detection range of current apparent resistivity stations is within a depth of several hundred meters. Within this depth range, the medium deformation caused by solid tide can be regarded as uniform change. Therefore, all monitoring directions and all stations will have the same pattern of diurnal variation. In general, the temperature increases in the daytime but decreases in the nighttime. For most water-bearing rock and soil medium, its resistivity decreases as temperature increases and increases as temperature decreases. Diurnal temperature difference affects about 0.4m of soil depth. Therefore, resistivity of this surface thin soil layer decreases in the daytime while increases in the nighttime. Under layered medium model, SC of each layer represents its contribution to the apparent resistivity. For the stations with positive SC of surface layer, apparent resistivity decreases in the daytime but increases in the nighttime. While for the stations with negative SC of surface layer, apparent resistivity diurnal variations display the opposite shape.  相似文献   

14.
地震监测中的电阻率层析技术   总被引:15,自引:1,他引:15       下载免费PDF全文
将电阻率层析技术应用于地震监测,由视电阻率值重建出介质的真电阻率图像,取得了较好效果.在宝坻台和昌黎台设立的两个试验点上于1998年4月14日ML5.0和ML4.4唐山两次地震前的6天左右层析图像出现了明显的异常变化:宝坻台的电阻率图像一改通常的在平稳背景上叠加小量随机变化的特点,出现了一种有序性特征的新图样;昌黎台也出现了反差加大、高低阻区集中分布的有序性特征.上述异常图样均在震后消失.层析图像在震前出现的熵值降低可能是这次地震活动的前兆.地层导电结构和孔隙度的变化,是引起电阻率异常的直接原因.研究表明,常规的单一极距的视电阻率测量之所以对真电阻率的变化不敏感且丧失空间分辨能力,是由于该物理量同时具有积分值和位函数这两个固有特征所决定的.在地震监测中,改造现行观测系统,引入层析成像,是发展技术的方向.  相似文献   

15.
Four types of disturbances in the seasonal variation in georesistivity are presented in the light of specific circumstances in China. As the results of theoretic calculation for the models and in comparison of the calculated results with the seasonal variations observed at 40 georesistivity stations, the following points are found: (1) The seasonal variation in georesistivity is caused by the change in resistivity of the surface layer, especially by the annual variation of phreatic level when the sounding depth is too shallow. This is one of the disturbances and thus has no relation to the origin of earthquake. The feature and amplitude of the seasonal variation depend on the types of disturbance models, geoelectric cross sections and sounding depth. (2) The seasonal variation in georesistivity usually has the same sign as that of the change in resistivity of shallow layer and thus the normal seasonal change appears. However, as far as the K or Q types of geoelectric cross sections are concerned, the abnormal seasonal variation in georesistivity starts to appear with a certain electrode spacing, when the interference layer is located in the first layer. (3) Both abnormal and normal seasonal variations in georesistivity will be smaller than 2% when the sounding depth is greater than 300 m. Therefore, the seasonal variations can be removed or restrained when the location of observation has been properly chosen or the electrode spacing is enlarged enough to obtain a sufficient sounding depth.  相似文献   

16.
We start from the Hankel transform of Stefanescu's integral written in the convolutionintegral form suggested by Ghosh (1971). In this way it is possible to obtain the kernel function by the linear electric filter theory. Ghosh worked out the sets of filter coefficients in frequency domain and showed the very low content of high frequencies of apparent resistivity curves. Vertical soundings in the field measure a series of apparent resistivity values at a constant increment Δx of the logarithm of electrode spacing. Without loss of information we obtain the filter coefficient series by digital convolution of the Bessel function of exponential argument with sine function of the appropriate argument. With a series of forty-one values we obtain the kernel functions from the resistivity curves to an accuracy of better than 0.5%. With the digital method it is possible to calculate easily the filter coefficients for any electrode arrangement and any cut-off frequency.  相似文献   

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