基于地震频谱属性的煤层厚度预测方法
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- 论文作者：田忠斌 ; 杨晓东 ; 王建青 ; 申有义
- 年：2016
- 作者机构：山西省煤炭地质物探测绘院;
- 论文关键词：频谱属性 ; 煤层厚度 ; 线性回归 ; 调谐作用
- 英文论文关键词：Spectral attribute ; Coal seam thickness ; Linear regression ; Tuning function
- 会议召开时间：2016-10-15
- 会议录名称：2016中国地球科学联合学术年会论文集（三十）——专题54：煤炭资源与矿山地球物理
- 语种：中文
- 分类号：P618.11;P631.4
- 学会代码：ZGDW
- 会议名称：2016中国地球科学联合学术年会
- 会议地点：中国北京
- 主办单位：中国地球物理学会、中国地震学会、全国岩石学与地球动力学研讨会组委会、中国地质学会构造地质学与地球动力学专业委员会、中国地质学会区域地质与成矿专业委员会
- 学会名称：中国地球物理学会
- 页数：4
- 文件大小：1601k
- 原文格式：D
- 会议级别：全国
摘要
本文利用陇东黄土塬区施工的地震勘探成果,通过提取煤层反射波中的多种地震属性,与煤层厚度进行相关性分析,发现频谱属性与煤层厚度有较高的线性相关度。通过属性优选,利用频谱属性中的中心频率、振幅属性对研究区煤层厚度进行了预测。预测所获得的煤层厚度变化趋势与钻孔揭露厚度吻合较好,说明了煤层具有频率调谐作用,也说明了利用地震频谱属性对煤层厚度进行预测的方法是有效可行的。
Seismic attributes technology is now widely used in seismic prospecting engineering. In this paper, we will use seismic attributes technology to predict the coal seam thickness in Longdong loess tableland. We have got the seismic prospecting field data in the prospecting area and extracted a variety of seismic attributes from the coal seam reflected wave. After the correlation analysis on the known coal seam thickness and the seismic attributes we find the coal seam thickness has a good linear correlation with seismic spectral attribute. We take advantage of the center frequency and amplitude attribute of the seismic attribute to predict the coal seam thickness in the whole prospecting area. The variation trend of coal seam thickness agrees with the coal seam thickness in drill hole which indicates that coal seam has frequency tuning function and it is feasible to predict the coal seam thickness with the seismic spectral attribute.
Seismic attributes technology is now widely used in seismic prospecting engineering. In this paper, we will use seismic attributes technology to predict the coal seam thickness in Longdong loess tableland. We have got the seismic prospecting field data in the prospecting area and extracted a variety of seismic attributes from the coal seam reflected wave. After the correlation analysis on the known coal seam thickness and the seismic attributes we find the coal seam thickness has a good linear correlation with seismic spectral attribute. We take advantage of the center frequency and amplitude attribute of the seismic attribute to predict the coal seam thickness in the whole prospecting area. The variation trend of coal seam thickness agrees with the coal seam thickness in drill hole which indicates that coal seam has frequency tuning function and it is feasible to predict the coal seam thickness with the seismic spectral attribute.
引文
[1]崔若飞等,地震属性技术在煤田地震勘探中的应用[J],中国矿业大学学报,2002,31(3):267-270。
[2]郭彦省等,地震属性及其在煤层厚度预测中的应用,中国矿业大学学报,2004,33(5)。
[3]董守华等,煤层厚度与振幅、频率地震属性的正演模拟[J],中国矿业大学学报,2004,33(1):29-32。
[4]孙渊等,地震属性参数在煤层厚度预测中的应用[J],煤田地质与勘探,2008,36(02):58-60。
[2]郭彦省等,地震属性及其在煤层厚度预测中的应用,中国矿业大学学报,2004,33(5)。
[3]董守华等,煤层厚度与振幅、频率地震属性的正演模拟[J],中国矿业大学学报,2004,33(1):29-32。
[4]孙渊等,地震属性参数在煤层厚度预测中的应用[J],煤田地质与勘探,2008,36(02):58-60。