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Automatically positioning microseismic sources in mining by the stereo tomographic method using full wavefields

ISSN号：1672-7975
期刊名称：《应用地球物理：英文版》
时间：0
分类：P315[天文地球—地震学;天文地球—固体地球物理学;天文地球—地球物理学] TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
作者机构：[1]University of Science and Technology, Beijing 100083 China., [2]Research Institute of Petroleum Exploration and Development, Beijing 100083 China., [3]Repsol USA, The Woodlands, Texas 77380 USA.
相关基金：The research is support jointly by projects of the National Natural Science Fund Project （40674017 and 50774012） and the National Key Basic Research and Development Plan 973 （2010CB226803）.

作者： Miao Hua-Xiang[1], Jiang Fu-Xing[1], Song Xue-Juan[2], Song Jian-Yong[2], Yang Shu-Hua[1], Jiao Jun-Ru[3]

关键词：微震事件, 自动定位, 断层成像, 波场, 传播速度, 开采, 立体, 波动方程, microseismic, full wavefields, wavefield mode identification, tomographic image, source parameters, automatic positioning

中文摘要：

为 microseisimic，监视它困难决定波浪模式和他们的繁殖速度。在这份报纸，我们为自动地在实时转换建议一个新方法在没有波浪模式鉴定和速度的矿工程的 microseismic 事件的来源特征。在一个球形的坐标系统基于波浪方程，我们导出一个 tomographic 成像方程并且提出 microseisimic 事件最大值精力和相应参数能是坚定的一个扫描参数选择由标准。由在一个给定的风险区域内决定最大的精力位置，我们装 indentify microseismic 事件在内或在风险区域外面。合成并且地例子证明建议 tomographic 成像方法罐头自动地由没有识别 wavefield 模式和精确速度，仅仅知道风险区域尺寸和速度的范围放 microseismic 事件。因此，新方法利用完整的 wavefields 自动地监视 microseismic 事件。

英文摘要：

For microseisimic monitoring it is difficult to determine wave modes and their propagation velocity. In this paper, we propose a new method for automatically inverting in real time the source characteristics of microseismic events in mine engineering without wave mode identification and velocities. Based on the wave equation in a spherical coordinate system, we derive a tomographic imaging equation and formulate a scanning parameter selection criterion by which the microseisimic event maximum energy and corresponding parameters can be determined. By determining the maximum energy positions inside a given risk district, we can indentify microseismic events inside or outside the risk districts. The synthetic and field examples demonstrate that the proposed tomographic imaging method can automatically position microseismic events by only knowing the risk district dimensions and range of velocities without identifying the wavefield modes and accurate velocities. Therefore, the new method utilizes the full wavefields to automatically monitor microseismic events.

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