基于数学形态学的地震属性图像地质解译研究
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摘要
为了进一步提高地震属性解释的精度和效率,通过将数学形态学原理引入地震属性图像处理与分析中,结合断层地质体的平面展布特征,形成了线状特征的地质解译流程,以特定的采区为例,实现了断层的自动地质解译。研究结果表明:数学形态学是一种有效增强和提取图像线性特征的方法,将数学形态学技术与地震多属性技术相结合进行地质解译可提高地震属性解释的效率和精度,减少人为因素,节省工作量。
In order to improve the accuracy and efficiency of the seismic attribute interpretation,mathematic morphology principle was introduced to the processing and analysis on the seismic attribute image.In combination with the plane distribution features of the fault geological body,a geological interpretation process of the linear features was formed.With a certain mining block as a case,an automatic geological interpretation of the fault could be realized.The study results showed that the mathematic morphology would be an effective method to enhance and pick up the image linear features.The mathematic morphology technology and the seismic multi-attribute interpretation technology combined for the geological interpretation could improve the efficiency and accuracy of the seismic attribute interpretation,could reduce the artificial factors and could save the workload.
In order to improve the accuracy and efficiency of the seismic attribute interpretation,mathematic morphology principle was introduced to the processing and analysis on the seismic attribute image.In combination with the plane distribution features of the fault geological body,a geological interpretation process of the linear features was formed.With a certain mining block as a case,an automatic geological interpretation of the fault could be realized.The study results showed that the mathematic morphology would be an effective method to enhance and pick up the image linear features.The mathematic morphology technology and the seismic multi-attribute interpretation technology combined for the geological interpretation could improve the efficiency and accuracy of the seismic attribute interpretation,could reduce the artificial factors and could save the workload.
引文
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[2]阿迈拉登F.模式识别与图像处理[M].北京:石油工业出版社,1987.
[3]许海涛,毕建军,唐红光,等.数学形态学在地震相干属性提取中的应用[J].石油地球物理勘探,2010,45(4):482-484.
[4]黄捍东,魏修成,叶连池,等.分析边缘检测在裂缝预测中的应用[J].石油地球物理勘探,2002,37(1):65-68.
[5]迟新刚,贺振华,黄德济.储层缝洞预测和检测方法[J].勘探地球物理进展,2003,26(2):94-98.
[6]文晓涛,唐湘蓉,贺振华.基于方向信息测度的断层检测方法[J].石油物探,2008,47(2):128-131.
[7]崔屹.图像处理与分析-数学形态学方法与应用[M].北京:科学出版社,2000.
[8]王爱玲,叶明生,邓秋香.MATLAB R2007图像处理技术与应用[M].北京:电子工业出版社,2008.
[9]黄海龙,王宏,郭璠,等.一种基于数学形态学的多形状多尺度边缘检测算法[J].东北大学学报,2010,31(10):1483-1486.
[10]潘建平,李治.数学形态学多结构元素的道路提取[J].计算机工程与应用,2010,46(11):233-235.
[11]杨文韬,王茂芝,郭科.一种基于数学形态学的遥感影像公路主干提取算法[J].信息技术,2010(2):4-6.
[12]王永刚,马彩霞,刘慧平.基于数学形态学的建筑物轮廓信息提取[J].国土资源遥感,2010(1)49-53.
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