巴彦浩特盆地火成岩的综合地球物理解释
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摘要
采用综合地球物理方法识别巴彦浩特盆地火成岩,首先利用高精度重磁资料和大地电磁测深资料,初步确定火成岩的平面位置和深度,然后利用钻遇火成岩的已知测井资料,建立人工合成地震记录,在地震剖面上标定出火成岩并分析其波组特征,采用BP神经网络进行火成岩的精细识别。研究表明,综合地球物理解释是提高反演解释精度的有效途径。
In Bayan Hot basin of northern China, igneous rocks are characterized by small varying range, small thickness and deep burial depth. Their gravity and magnetic anomalies are weak, and they do not have remarkable resistivity anomalies. They fail to form continuous and strong lineup and hence cannot be distinguished by a single geophysical prospecting method. With high precision gravity and magnetic data and magnetotelluric sounding data, however, we can determine their locations and burial depths. Using logging data of X1 log, the authors made synthetic seismic record to analyze the seismic wave characteristics of the igneous rocks, and then set up the training swatches of BP Neural Network to analyze the distribution of the igneous rocks. It is proved that the synthetic geophysical interpretation is an effective method for improving the geophysical inversion and interpretation.
In Bayan Hot basin of northern China, igneous rocks are characterized by small varying range, small thickness and deep burial depth. Their gravity and magnetic anomalies are weak, and they do not have remarkable resistivity anomalies. They fail to form continuous and strong lineup and hence cannot be distinguished by a single geophysical prospecting method. With high precision gravity and magnetic data and magnetotelluric sounding data, however, we can determine their locations and burial depths. Using logging data of X1 log, the authors made synthetic seismic record to analyze the seismic wave characteristics of the igneous rocks, and then set up the training swatches of BP Neural Network to analyze the distribution of the igneous rocks. It is proved that the synthetic geophysical interpretation is an effective method for improving the geophysical inversion and interpretation.
引文
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[2] 邓荣来,李庆浩,宋桂桥,等.重磁联合反演及重磁与MT综合解释巴彦浩特盆地火成岩[J].石油物探,2002,41(2):222-225.
[3] 傅绍乾,段春生,姚知铭,等.应用磁重震方法综合研究侵入岩的分布与赋存[J].石油物探,1999,38(1):93-101.
[4] 袁曾任.人工神经元网络及其应用[M].北京:清华大学出版社,1999.
[5] 王棣,杜世通.用神经网络预测二维地震剖面的地层岩性[J].石油地球物理勘探,1996,31(3):400-409.
[6] 高美娟,田景文,张淑华,等.利用人工神经网络方法检测地震剖面同相轴[J].物探与化探,2000,24(2):353-357.
[7] 耿喜哲,刘天佑,丁艳红,等.小波神经网络在重磁资料反演中的应用前景[J].物探与化探,2001,25(2):102-108.
[8] 贺铎华.BP神经网络识别塔北低阻油气层[J].物探与化探,2002,26(2):122-125.
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