共查询到19条相似文献，搜索用时 156 毫秒
1.
煤矿冲击矿压现象日益严峻,作为矿山动力灾害的主要监测手段,微震监测系统已在许多矿井广泛使用,为保证矿震定位和能量计算的准确,提高预测预报煤矿冲击矿压的可行性,应建立一套台网布设优化及评价系统.应用微震定位和D值优化设计理论,结合煤矿实际条件研究了影响矿震定位精度的主要因素和不利条件,并提出了采用综合指数法确定煤矿高微震活动区域和区域内矿震发生的概率,制定了台站候选点和监测区域确定的一般原则.通过理论分析震中和震源标准差反映台网定位能力的不足,建立基于数值仿真实验方法的震中与震源误差期望值模型,最终形成台网布设优化及评价系统.实验和现场应用结果表明,该系统能够快速确定台网最优布设方案,准确评价台网定位能力,满足煤矿微震监测的需要. 相似文献
2.
煤岩瓦斯复合动力灾害是深井开采面临的一种由冲击地压和煤与瓦斯突出共同作用的新的灾害表现形式.微破裂前兆是煤岩瓦斯复合动力灾变过程显现的共性本质特征,具有微震和声发射活动性.笔者在收集和阅读大量国内外煤岩瓦斯复合动力灾害资料的基础上,对煤岩瓦斯复合型动力灾害的监测技术进行了研究.研究结果表明:声发射监测技术和微震监测技术的原理相同,不同的是频谱范围有差异.煤岩瓦斯复合动力灾变过程要经历从微小破裂萌生→扩展→集结和从无序到有序的发展过程,声发射和微震监测技术可以很好的对灾变的整个过程进行监测,是研究煤岩瓦斯复合动力灾害的重要手段,对研究煤岩瓦斯复合动力灾害机制和前兆辨识具有重要意义. 相似文献
3.
为了配合汶川地震科学深钻,弄清楚钻孔附近浅层的断层面结构,中国地震局地球物理研究所分别在四川省绵竹市天池乡和四川省绵阳市南坝镇布设15套南非矿山地震研究所(IMS)生产的矿山地震仪.分析矿山地震仪天然微震监测中仪器布设、数据采集和数据处理等方面遇到的问题,介绍与该仪器对应的数据的文件格式,并实现该数据与通用地震数据格式SAC二进制格式的转换. 相似文献
4.
微震技术与应用研究综述 总被引：1，自引：0，他引：1
微震,是指微小的震动.在不同应用领域微震大小的尺度划分也各不相同.对于这种微小的地震信号在许多领域都有广泛的应用,例如金属矿山、油田、火山和地震预报等.随着近年来信息技术高速发展,微震监测技术被广泛应用到地下工程当中,如油田开发、矿山的安全生产、隧道的施工建设、水库大坝的选址等诸多方面,并逐渐工程化、系统化,形成实时监测微震的可视化系统.此外,利用自然界大量的微震现象,可以通过震源定位、速度和衰减成像等方法研究大断裂、火山活动、地震的发生发展趋势以及震源机制等.本文总结了各类微震技术与方法,并分析各种方法的优点和存在的问题.另外分类整理了微震在各个领域的应用,分析其不同应用领域下的微震时频率域特征和研究方法.最后得出结论微震技术无论是在科学研究还是工程生产中都起着非常重要的作用. 相似文献
5.
门头沟矿微震的近场监测效能评估 总被引：7，自引：0，他引：7
本文介绍了SYLOK矿山微震系统在门矿的应用,指出最近台常常不参与定位,反映在灵敏度曲线上出现了非灵敏前区和非灵敏后区的现象。对于非灵敏前区的解释,可能与系统软件有关,但更大可能与冲击地压近场波动的动力特性有关。 相似文献
6.
随着页岩气开采、地热能源开采、CO2封存和水库蓄水等工业活动的开展,由此产生的诱发地震危害问题日益严重。为了对诱发地震进行有效监测和管控,地震学家设计了"交通灯"系统,当地震活动达到一定阈值时,相关人员可根据系统警报及时采取应对措施,减轻地震灾害。本文调研了近年来多个国家的"交通灯"系统研究和应用进展,介绍了其发展历史、设置原理及应用案例。"交通灯"系统的发展和完善应综合考虑震级、震动强度、b值和断层分布,以及建筑结构、城镇距离、人口密度、公众反应等社会因素。同时,在诱发地震频发区域,应建设密集的专用监测台网,提高微震检测和定位能力,并引入模板匹配和人工智能等新的自动处理方法,及时产出高完备性、高精度的微震目录,对微震的时空演化进行有效监测,形成时效性较强的"交通灯"系统。 相似文献
7.
1988年10—11月间门头沟矿井下的慢速磁带记录系统共记到100多个事件,其中M_L=2.9的冲击地压为最大。通过地震记录图分析,我们发现这个冲击地压发生时和发生前十几小时,波通过震源区传播,波形发生畸变,S波波速增加、S波到时偏离正常情况。据非线性波动理论,我们认为这些现象是波通过非线性固体介质的直接效应。这些观测事实将为用微震记录监测冲击地压前的应力变化提供有力的理论依据。 矿山冲击地压和地震都是地壳内部岩体的不稳定性问题。它们有着以连续介质力学规律为基础的共同物理学本质。因此本文的结果不仅对矿山冲击地压的预报甚至对地震预报都是有意义的。 相似文献
8.
煤矿井下微震震源准确定位,对于动力灾害监测预警具有重要意义.由于微震震源需要通过井下传感器接收信息反演确定,传感器的安装位置限制于煤矿井下巷道周围,传感器沿巷道近平面的不合理布置将大大降低震源定位精度.针对由传感器信息反演震源位置引起的病态问题,本文提出了基于微震监测测点优化布置的震源高精度定位算法.首先通过计算系数矩阵条件数,判定病态问题;然后利用中心化法和行平衡法联合进行病态矩阵预处理.对预处理后的矩阵A、b利用L曲线法计算正则参数,结合Tikhonov正则化算法计算得到震源坐标正则解.研究结果表明,中心化法有效降低了矩阵数量级,行平衡预处理降低了病态条件数,预处理后Tikhonov正则解的震源坐标误差最小可以达到3.09m,与预处理前的高斯消去解相比误差大大降低.通过上述优化处理,实现了井下受限空间微震监测震源高精度定位. 相似文献
9.
大岗山水电站右岸边坡地质条件复杂,断层、岩脉、卸荷裂隙密集带、深部卸荷带及节理裂隙发育。为了监测边坡在开挖过程中引起的卸荷松弛和后期大坝蓄水引起的应力重分布,以及对由此造成的边坡潜在滑动区域进行识别和圈定,采用高精度微震监测技术进行岩质边坡潜在失稳监测的工程实践。通过构建右岸边坡三维地质模型和优化传感器布设方案,采用人工定点爆破试验对监测系统定位性能进行测试,结果显示在传感器阵列范围内的震源定位误差小于10 m,表明该监测系统具有较高的定位精度。工程实践证明,微震监测能够准确诊断出断层和卸荷带等构造活动的强度、烈度以及相关的时空参数,是实现边坡潜在失稳机理研究的一种新的监测手段。 相似文献
10.
随着地震观测台站密度的不断增加以及地震检测技术的快速发展,微震研究受到了地震学界的广泛关注。与发震周期较长的大地震相比,微震复发周期短、发生频次高,可以获得更高分辨率的地壳内部介质物性和应力状态等变化信息。微震在许多领域具有广泛的应用,如研究断层几何形态、前震与地震成核的关系、余震时空演化特征及余震触发机理、远程动态触发现象、重复地震、诱发地震以及非火山震颤信号的检测等。高精度的微震定位结果可以揭示断裂带的精细几何形态和深部活动过程,促进对断层特性和地震物理过程的深入认识。本文简要总结了国内外微震研究的主要进展,包括微震检测的主要方法和微震在多个领域的研究实例,并对微震在地震科学中的应用前景进行了展望。 相似文献
11.
The hydrocarbon industry is moving increasingly towards tight sandstone and shale gas resources – reservoirs that require fractures to be produced economically. Therefore, techniques that can identify sets of aligned fractures are becoming more important. Fracture identification is also important in the areas of coal bed methane production, carbon capture and storage (CCS), geothermal energy, nuclear waste storage and mining. In all these settings, stress and pore pressure changes induced by engineering activity can generate or reactivate faults and fractures. P‐ and S‐waves are emitted by such microseismic events, which can be recorded on downhole geophones. The presence of aligned fracture sets generates seismic anisotropy, which can be identified by measuring the splitting of the S‐waves emitted by microseismic events. The raypaths of the S‐waves will have an arbitrary orientation, controlled by the event and geophone locations, meaning that the anisotropy system may only be partly illuminated by the available arrivals. Therefore to reliably interpret such splitting measurements it is necessary to construct models that compare splitting observations with modelled values, allowing the best fitting rock physics parameters to be determined. Commonly, splitting measurements are inverted for one fracture set and rock fabrics with a vertical axis of symmetry. In this paper we address the challenge of identifying multiple aligned fracture sets using splitting measured on microseismic events. We analyse data from the Weyburn CCS‐EOR reservoir, which is known to have multiple fracture sets, and from a hydraulic fracture stimulation, where it is believed that only one set is present. We make splitting measurements on microseismic data recorded on downhole geophone arrays. Our inversion technique successfully discriminates between the single and multiple fracture cases and in all cases accurately identifies the strikes of fracture sets previously imaged using independent methods (borehole image logs, core samples, microseismic event locations). We also generate a synthetic example to highlight the pitfalls that can be encountered if it is assumed that only one fracture set is present when splitting data are interpreted, when in fact more than one fracture set is contributing to the anisotropy. 相似文献
12.
In hydraulic fracturing treatments, locating not only hydraulic fractures but also any pre‐existing natural fractures and faults in a subsurface reservoir is very important. Hydraulic fractures can be tracked by locating microseismic events, but to identify the locations of natural fractures, an additional technique is required. In this paper, we present a method to image pre‐existing fractures and faults near a borehole with virtual reverse vertical seismic profiling data or virtual single‐well profiling data (limited to seismic reflection data) created from microseismic monitoring using seismic interferometry. The virtual source data contain reflections from natural fractures and faults, and these features can be imaged by applying migration to the virtual source data. However, the imaging zone of fractures in the proposed method is strongly dependent on the geographic extent of the microseismic events and the location and direction of the fracture. To verify our method, we produced virtual reverse vertical seismic profiling and single‐well profiling data from synthetic microseismic data and compared them with data from real sources in the same relative position as the virtual sources. The results show that the reflection travel times from the fractures in the virtual source data agree well with travel times in the real‐source data. By applying pre‐stack depth migration to the virtual source data, images of the natural fractures were obtained with accurate locations. However, the migrated section of the single‐well profiling data with both real and virtual sources contained spurious fracture images on the opposite side of the borehole. In the case of virtual single‐well profiling data, we could produce correct migration images of fractures by adopting directional redatuming for which the occurrence region of microseismic events is divided into several subdivisions, and fractures located only on the opposite side of the borehole are imaged for each subdivision. 相似文献
13.
Since 1972, Weir-Jones Engineering Consultants (WJEC) has been involved in the development and installation of microseismic monitoring systems for the mining, heavy construction and oil/gas industries. To be of practical value in an industrial environment, microseismic monitoring systems must produce information which is both reliable and timely. The most critical parameters obtained from a microseismic monitoring system are the real-time location and magnitude of the seismic events. Location and magnitude are derived using source location algorithms that typically utilize forward modeling and iterative optimal estimation techniques to determine the location of the global minimum of a predefined cost function in a three-dimensional solution space. Generally, this cost function is defined as the RMS difference between measured seismic time series information and synthetic measurements generated by assuming a velocity structure for the area under investigation (forward modeling). The seismic data typically used in the source location algorithm includes P- and S-wave arrival times, and raypath angles of incidence obtained from P-wave hodogram analysis and P-wave first break identification. In order to obtain accurate and timely source location estimates it is of paramount importance that the extraction of accurate P-wave and S-wave information from the recorded time series be automated—in this way consistent data can be made available with minimal delay. WJEC has invested considerable resources in the development of real-time digital filters to optimize extraction, and this paper outlines some of the enhancements made to existing Kalman Filter designs to facilitate the automation of P-wave first break identification. 相似文献
14.
—?Microseismic monitoring systems are generally installed in areas of induced seismicity caused by human activity. Induced seismicity results from changes in the state of stress which may occur as a result of excavation within the rock mass in mining (i.e., rockbursts), and changes in hydrostatic pressures and rock temperatures (e.g., during fluid injection or extraction) in oil exploitation, dam construction or fluid disposal. Microseismic monitoring systems determine event locations and important source parameters such as attenuation, seismic moment, source radius, static stress drop, peak particle velocity and seismic energy. An essential part of the operation of a microseismic monitoring system is the reliable detection of microseismic events. In the absence of reliable, automated picking techniques, operators rely upon manual picking. This is time-consuming, costly and, in the presence of background noise, very prone to error. The techniques described in this paper not only permit the reliable identification of events in cluttered signal environments they have also enabled the authors to develop reliable automated event picking procedures. This opens the way to use microseismic monitoring as a cost-effective production/operations procedure. It has been the experience of the authors that in certain noisy environments, the seismic monitoring system may trigger on and subsequently acquire substantial quantities of erroneous data, due to the high energy content of the ambient noise. Digital filtering techniques need to be applied on the microseismic data so that the ambient noise is removed and event detection simplified. The monitoring of seismic acoustic emissions is a continuous, real-time process and it is desirable to implement digital filters which can also be designed in the time domain and in real-time such as the Kalman Filter. This paper presents a real-time Kalman Filter which removes the statistically describable background noise from the recorded seismic traces. 相似文献
15.
随着煤炭开采深度和强度的增大,冲击矿压已成为煤矿普遍的安全问题.具体针对煤矿冲击矿压的时空预测难题,进一步发展了微震多维信息的时空预测方法：首先,构建微震多维信息识别指标体系,包括优选的频次指标和新提出的震源集中程度、最大应力和总应力当量指标;其次,基于归一化方法、异常分级判别准则和时空统计滑移模型,分别获得各指标的时序曲线和空间云图;然后,采用R值评分法评估和检验各指标的预测效能,并依此赋予各指标权重;最后,应用综合异常指数方法,实时定量分析监测区域的冲击险状态、具体危险区域及等级.预测实例表明,该方法综合考虑了微震时、空、强要素,预测效能较高,并能从时序上定量描述监测区域的冲击危险状态,空间上定量反映监测时段内的冲击危险区域及等级,现场中指导实施防冲措施,在一定程度上解决了现场防冲措施实施的盲目性,从而进一步发展了煤矿冲击矿压的时空监测预报方法. 相似文献
16.
井下微震监测获得的地震记录往往包含大量的噪声,记录信噪比很低.有效地震信号的识别与提取是进行后续地震定位等工作之前需要优先解决的问题.经过研究发现,井下水压裂微地震信号具有稀疏分布的特征,而井下环境噪声则具有更多的Gaussian分布特征.为此,本文提出将图像处理领域适宜于稀疏分布信号降噪处理的稀疏码收缩方法应用于井下微震监测数据处理.为解决需要利用与待处理数据中有效信号成分具有相似分布特征的无噪信号序列估算正交基以及计算效率等问题,将原方法与小波变换理论相结合.即通过优选小波基函数作为正交基进行小波变换将信号分解为不同级的小波系数,利用稀疏码收缩方法中对稀疏编码施加的非线性收缩方式作为阈值准则对小波系数进行改造.通过多方面的数值实验证明了该方法在处理地震子波及井下微地震信号方面准确可靠.含噪记录经过处理后有效地震信号的到时、波形、时频谱特征等均能得到良好的识别和恢复.并且该方法具有很强的抗噪能力,当信噪比低至-20~-30db时,仍然能够发挥作用.在处理大量实际井下微震监测数据的过程中,面对多种复杂情况,本方法展现出了计算效率高、计算结果可靠、应用简单等优势,证明了其本身具有实际应用价值,值得进一步的研究和推广. 相似文献
17.
For years, severe rockburst problems at the Lucky Friday mine in northern Idaho have been a persistent safety hazard and an impediment to production. An MP250 based microseismic monitoring system, which uses simple voltage threshold picking of first arrivals, has been used in this mine since 1973 to provide source locations and energy estimates of seismic events. Recently, interest has been expressed in developing a whole waveform microseismic monitoring system for the mine to provide more accurate source locations and information about source characteristics. For this study, we have developed a prototype whole-waveform microseismic monitoring system based on a 80386 computer equipped with a 50 kHz analog-digital convertor board. The software developed includes a data collection program, a data analysis program, and an event detection program. Whole-waveform data collected and analyzed using this system during a three-day test have been employed to investigate sources of error in the hypocenter location process and to develop an automatic phase picker appropriate for microseismic events.Comparison of hypocenter estimates produced by the MP250 system to those produced by the whole-waveform system shows that significant timing errors are common in the MP250 system and that these errors caused a large part of the scatter evident in the daily activity plots produced at the mine. Simulations and analysis of blast data show that analytical control over the solutions is strongly influenced by the array geometry. Within the geophone array, large errors in the velocity model or moderate timing errors may result in small changes in the solution, but outside the array, the solution is very sensitive to small changes in the data.Our whole-waveform detection program picks event onset times and determines event durations by analysis of a segmented envelope function (SEF) derived from the microseismic signal. The detection program has been tested by comparing its arrival time picks to those generated by human analysis of the data set. The program picked 87% of the channels that were picked by hand with a standard error of 0.75 milliseconds. Source locations calculated using times provided by our entire waveform detection program were similar to those calculated using hand-picked arrival times. In particular, they show far less scatter than source locations calculated using arrival times based on simple voltage threshold picking of first arrivals. 相似文献
18.
Cross double‐difference inversion for simultaneous velocity model update and microseismic event location 
下载免费PDF全文
下载免费PDF全文 Microseismic monitoring is an approach for mapping hydraulic fracturing. Detecting the accurate locations of microseismic events relies on an accurate velocity model. The one‐dimensional layered velocity model is generally obtained by model calibration from inverting perforation data. However, perforation shots may only illuminate the layers between the perforation shots and the recording receivers with limited raypath coverage in a downhole monitoring problem. Some of the microseismic events may occur outside of the depth range of these layers. To derive an accurate velocity model covering all of the microseismic events and locating events at the same time, we apply the cross double‐difference method for the simultaneous inversion of a velocity model and event locations using both perforation shots and microseismic data. The cross double‐difference method could provide accurate locations in both the relative and absolute sense, utilizing cross traveltime differences between P and S phases over different events. At the downhole monitoring scale, the number of cross traveltime differences is sufficiently large to constrain events locations and velocity model as well. In this study, we assume that the layer thickness is known, and velocities of P‐ and S‐wave are inverted. Different simultaneous inversion methods based on the Geiger's, double‐difference, and cross double‐difference algorithms have been compared with the same input data. Synthetic and field data experiments suggest that combining both perforation shots and microseismic data for the simultaneous cross double‐difference inversion of the velocity model and event locations is available for overcoming the trade‐offs in solutions and producing reliable results. 相似文献
19.
O.H. Al‐Harrasi A. Al‐Anboori A. Wüstefeld J.‐M. Kendall 《Geophysical Prospecting》2011,59(2):227-243
The study of seismic anisotropy in exploration seismology is gaining interest as it provides valuable information about reservoir properties and stress directions. In this study we estimate anisotropy in a petroleum field in Oman using observations of shear‐wave splitting from microseismic data. The data set was recorded by arrays of borehole geophones deployed in five wells. We analyse nearly 3400 microearthquakes, yielding around 8500 shear‐wave splitting measurements. Stringent quality control reduces the number of reliable measurements to 325. Shear‐wave splitting modelling in a range of rock models is then used to guide the interpretation. The difference between the fast and slow shear‐wave velocities along the raypath in the field ranges between 0–10% and it is controlled both by lithology and proximity to the NE‐SW trending graben fault system that cuts the field formations. The anisotropy is interpreted in terms of aligned fractures or cracks superimposed on an intrinsic vertical transversely isotropic (VTI) rock fabric. The highest magnitudes of anisotropy are within the highly fractured uppermost unit of the Natih carbonate reservoir. Anisotropy decreases with depth, with the lowest magnitudes found in the deep part of the Natih carbonate formation. Moderate amounts of anisotropy are found in the shale cap rock. Anisotropy also varies laterally with the highest anisotropy occurring either side of the south‐eastern graben fault. The predominant fracture strikes, inferred from the fast shear‐wave polarizations, are consistent with the trends of the main faults (NE‐SW and NW‐SE). The majority of observations indicate subvertical fracture dip (>70° ). Cumulatively, these observations show how studies of shear‐wave splitting using microseismic data can be used to characterize fractures, important information for the exploitation of many reservoirs. 相似文献