重磁震平面统计建模反演技术的理论探讨
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摘要
目的 为重磁震的平面联合统计建模反演提供理论依据与方法基础,力图将国内目前占主导地位的重震、磁震剖面的单项理论建模反演推进到新的层次。方法 基于场论,以独立地质系统为控制单元,把重磁震共存的物性界面深度作为与其一一对应的极值重磁异常的二元复合逆函数,利用差值趋势面分析,按单元在空间(波数)域内逼近其逆函数的泰勒(傅立叶)级数分布,建立重磁震联合反演的随机地质模型。结果 重磁震平面统计建模反演技术,成功应用于胜利油田新区和潜山区的油气勘探实践,编绘出仅靠地震难以成图的深层构造图。结论 随着高分辨率重磁界面识别技术的不断提高,该项探索性研究成果有望推进综合地球物理联合建模反演技术的发展。
AimThe purpose is to provide theoretical foundation and methodological basis for expanding domestically and internationally dominated single term theoretical modeling inversion of gravity and seismic, magnetic and seismic profiles to combined gravity, magnetic and seismic planar statistical modeling inversion. MethodsBased on field theory, independent geological system as its control unit, extreme gravity, magnetic anomalies corresponding one by one to depths of physical property interfaces possessed by gravity, magnetic and seismic as bivariate compound converse function, this method uses difference-value trend surface analysis according to Taylor (Fourier) series distribution of the unit in space (wavenumber) domain approximating to its converse function to establish stochastic geological model by combined gravity, magnetic and seismic inversion. Results The technology has been popularized in oil exploration to newly explored areas in Shengli Oilfield and buried hills. Deep structure maps have been plotted, which is hard to be obtained by seismic interpretation. Conclusion With the increasing improvement of recognition technique for high resolution gravity, magnetic interfaces, it is possible to use the explored result boosting the development of overall geophysical combined modeling inversion.
AimThe purpose is to provide theoretical foundation and methodological basis for expanding domestically and internationally dominated single term theoretical modeling inversion of gravity and seismic, magnetic and seismic profiles to combined gravity, magnetic and seismic planar statistical modeling inversion. MethodsBased on field theory, independent geological system as its control unit, extreme gravity, magnetic anomalies corresponding one by one to depths of physical property interfaces possessed by gravity, magnetic and seismic as bivariate compound converse function, this method uses difference-value trend surface analysis according to Taylor (Fourier) series distribution of the unit in space (wavenumber) domain approximating to its converse function to establish stochastic geological model by combined gravity, magnetic and seismic inversion. Results The technology has been popularized in oil exploration to newly explored areas in Shengli Oilfield and buried hills. Deep structure maps have been plotted, which is hard to be obtained by seismic interpretation. Conclusion With the increasing improvement of recognition technique for high resolution gravity, magnetic interfaces, it is possible to use the explored result boosting the development of overall geophysical combined modeling inversion.
引文
[1] 谭承泽,郭绍雍.磁法勘探教程[M].北京:地质出版社,1988.
[2] 罗孝宽,郭绍雍.应用地球物理教程———重力磁法[M].北京:地质出版社,1991.
[3] 阎汉杰.重磁震随机建模反演技术的初步探讨[J].石油物探,2002,41(增刊):230 234.
[4] FORSYTHEGE.计算机数值计算方法———最小二乘和奇异值分解[M].计九三译.北京:清华大学出版社,1987.
[5] 菲赫金哥尔茨ГM.微积分学教程[M].叶彦谦译.北京:人民教育出版社,1962.
[2] 罗孝宽,郭绍雍.应用地球物理教程———重力磁法[M].北京:地质出版社,1991.
[3] 阎汉杰.重磁震随机建模反演技术的初步探讨[J].石油物探,2002,41(增刊):230 234.
[4] FORSYTHEGE.计算机数值计算方法———最小二乘和奇异值分解[M].计九三译.北京:清华大学出版社,1987.
[5] 菲赫金哥尔茨ГM.微积分学教程[M].叶彦谦译.北京:人民教育出版社,1962.
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