水平井和大斜度井中阵列侧向测井响应数值模拟

针对水平井和大斜度井中阵列侧向电极系的工作原理,利用多电场叠加方式进行电场合成,采用三维有限元方法模拟仿真各个分电场的场分布,进而利用电场线性叠加原理得到阵列侧向测井响应。在基于计算机仿真的基础上,得到阵列侧向五条测井曲线的径向探测深度,阵列侧向径向探测深度要小于深侧向探测深度。考察了三维地层模型下井斜和侵入深度变化对阵列侧向测井响应的影响,分析了水平井和大斜度井中阵列侧向测井响应特征。模拟结果表明,在井斜小于15°时,阵列侧向测井响应受井斜影响小,可以不进行井斜校正;井斜超过60°的大斜度井以及水平井中,阵列侧向测井响应视地层厚度逐渐增大,测井响应值与直井条件下响应值差别较大,必须进行井斜校正。     

高密度电法在岩溶探测中的应用

高密度电法是一种适用性广泛的电阻率勘探方法,拥有多种电极排列装置选择。不同装置由于电极分布方式的差异,在针对不同地质目标和测区环境时往往表现出明显不同的探测能力。为探究各排列装置的特点及其适用情况,推导了2.5D电位的变分问题,采用Delaunay三角化算法实现了非结构化网格剖分,进而实现了有限元正演模拟。结合实践,对常见地质情况进行建模,分别使用温纳α、温纳β、施伦贝谢尔、偶极−偶极4种装置开展正反演对比研究。研究发现：(1) 在探测未知区域单个异常体时,温纳β、施伦贝谢尔2种排列的效果更好;(2) 在探测相邻较近的多个异常体时,应优先采用具有更高水平分辨率的施伦贝谢尔和偶极−偶极排列;(3) 对于低阻破碎带的勘探,温纳β和偶极−偶极排列更为适用;(4) 当地层具有较好分层界限时,4种排列均可体现良好的分层效果。因此,高密度电法勘探实践中应综合考虑不同排列装置的特点,根据具体情况选用合适的多种排列方式进行测量,并对采集数据进行综合对比分析,以获得更为准确的解释结果。

     

地震台阵监测能力综述

根据各大网站地震目录和前人研究成果,分析全球地震台网与地震台阵、我国区域台网与地震台阵的监测能力,阐述了地震台阵与密集台网/台阵的区别。研究表明,对同一地区所检测的地震数,地震台阵是地震台网的3—10倍,而震级下限可降低1.2—2级。一般情况下,以微弱信号检测为目的的地震台阵监测能力均优于以结构研究为目的的密集台网/台阵,2种台阵是目的、性质、孔径、形状、台间距、技术手段、研究方法均不同的监测系统。     

鹤岗地震台阵记录的矿震与天然地震频谱特征分析

基于鹤岗地震台阵勘选数据,分析各子台记录的矿震和天然地震的频谱特征,从各子台频谱一致性角度对观测场地进行评估;采用希尔伯特—黄变换(Hilbert-Huang,简称HHT)方法,分析矿震和天然地震的时频特征。结果显示:勘选记录的地震频谱特征与已有研究一致,各子台特征也较一致,该勘选场地适合建设台阵;由经验模态分解(EMD)后的本征模态函数(IMF)分量可以明显识别出矿震面波,矿震和天然地震的HHT谱的时频特征有明显区别。     

Quick Phase Identification for Dense Seismic Array with Aid from Long Term Phase Records of Co-located Sparse Permanent Stations

The phase identification and travel time picking are critical for seismic tomography, yet it will be challenging when the numbers of stations and earthquakes are huge. We here present a method to quickly obtain P and S travel times of pre-determined earthquakes from mobile dense array with the aid from long term phase records from co-located permanent stations. The records for 1 768 M ≥ 2.0 events from 2011 to 2013 recorded by 350 ChinArray stations deployed in Yunnan Province are processed with an improved AR-AIC method utilizing cumulative envelope and rectilinearity. The reference arrivals are predicted based on phase records from 88 permanent stations with similar spatial coverage, which are further refined with AR-AIC. Totally, 718 573 P picks and 512 035 S picks are obtained from mobile stations, which are 28 and 22 times of those from permanent stations, respectively. By comparing the automatic picks with manual picks from 88 permanent stations, for M ≥ 3.0 events, 81.5% of the P-pick errors are smaller than 0.5 second and 70.5% of S-pick errors are smaller than 1 second. For events with a lower magnitude, 76.5% P-pick errors fall into 0.5 second and 69.5% S-pick errors are smaller than 1 second. Moreover, the Pn and Sn phases are easily discriminated from directly P/S, indicating the necessity of combining traditional auto picking and integrating machine learning method.     

Complex site effects and building codes: Making the leap

The engineering community is aware of the importance of site effects, but it lags behind seismological studies when it comes to incorporating site effect considerations in design spectra for seismic norms. This lag is reflected in the conspicuous fact that current building codes make allowance for 1D site effects but ignore complex site effects. The purpose of this paper is to explore a way for including complex site effects in a building code environment. We take as example Eurocode 8, which is a modern code that exemplifies the current approach to site effect consideration. We examine the restrictions that we have imposed to make the problem of a feasible size and discuss the approach we have taken. We propose a strategy to incorporate a class of complex site effects in a design elastic spectrum.     

GDS—1000宽频带通用流动数字地震观测系统

GDS-1000宽频带通用流动数字地震观测系统主要用于大陆岩石层的人工及天然地震台阵研究、强震观测以及余震观测台网的临时布设。其主要技术指标为:动态范围120dB,前放增益1,16,128倍可调,高端频率6.25,25,45Hz可调,采样率25,100,200Hz可调,1MB固态数据存储器借助地震数据的压缩软件可以存储3MB以上的数据,工作温度范围-10—45℃,功耗小于3W。定时接受的BPM无线电授时信号可保证记录系统时钟校正误差小于10ms。其智能化地震触发系统可处于下列模态:近震触发,远震触发,近震和远震触发,任意地面运动信号触发,以及手动触发和定时触发。DSR-1000数字地震数据回收系统用于GDS-1000的参数预置、地震事件数据的转储和地震图的现场绘制。该系统在野外试验期间已取得大量近震、远震及核爆炸记录。     

Recent advances in earthquake monitoring I: Ongoing revolution of seismic instrumentation

Seismic networks have significantly improved in the last decade in terms of coverage density, data quality, and instrumental diversity. Moreover, revolutionary advances in ultra-dense seismic instruments, such as nodes and fiber-optic sensing technologies, have recently provided unprecedented high-resolution data for regional and local earthquake monitoring. Nodal arrays have characteristics such as easy installation and flexible apertures, but are limited in power efficiency and data storage and thus most suitable as temporary networks. Fiber-optic sensing techniques, inclu-ding distributed acoustic sensing, can be operated in real time with an in-house power supply and connected data storage, thereby exhibiting the potential of becoming next-generation permanent networks. Fiber-optic sensing techniques offer a powerful way of filling the observation gap particularly in submarine environments. Despite these technological advancements, various challenges remain. First, the data characteristics of fiber-optic sensing are still unclear. Second, it is challenging to construct software infrastructures to store, transfer, visualize, and process large amount of seismic data. Finally, innovative detection methods are required to exploit the potential of numerous channels. With improved knowledge about data characteristics, enhanced software infrastructures, and suitable data processing techniques, these innovations in seismic instrumentation could profoundly impact observational seismology.