火山岩油气藏重磁电震综合预测方法及应用
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摘要
通过准噶尔盆地陆东地区数十口钻井资料的对比分析、归纳总结,提出了火山岩油气藏重磁电震综合预测方法.将正则化下延与延拓回返垂直二次导数串联形成了一个新的滤波器,该滤波器相当于首先通过正则化下延将位场曲面延拓至地下目的层段,降低火山岩埋深对磁力异常幅值的影响,然后利用延拓回返垂直二次导数对弱信号进行增强,不仅提高了位场异常的分辨率,而且由于对位场异常幅值信息进行了能量补偿,因而有利于利用增强后的位场异常的幅值划分火山岩岩性.利用该技术对准噶尔盆地陆东地区地震3D工区的重磁资料进行了处理,结合建场测深及3D地震资料进行了综合研究,并根据重磁电震等资料综合预测了火山岩油气藏目标.
From correlation studies of volcanic hydrocarbon exploration with tens of drilling data in Ludong area of Junggar Basin,China,a comprehensive predication scheme of hydrocarbon deposits in volcanic rock by gravity,magnetic,electrical and seismic data is proposed.By combining regularization downward continuation and return upward continuation vertical second derivation in series a new filtering algorithm is formulated.To reduce the depth effect of volcanic rocks on the magnetic anomalies the surface potential fields are downward continued to the targeted horizon,then the potential fields are enhanced by return upward continuation vertical second derivation.In result the field energy is compensated in contrast to the depth attenuation, which will help to identify the magnetic anomalies caused by volcanic rocks of different type with their anomaly amplitude.By applying the technique to gravity and magnetic data in Ludong area covered with 3D seismic data in Junggar Basin,China,the distribution of volcanic rocks is studied comprehensively by seismic data and TEM profiles and exploration targets of volcanic rock are predicted in Ludong area.
From correlation studies of volcanic hydrocarbon exploration with tens of drilling data in Ludong area of Junggar Basin,China,a comprehensive predication scheme of hydrocarbon deposits in volcanic rock by gravity,magnetic,electrical and seismic data is proposed.By combining regularization downward continuation and return upward continuation vertical second derivation in series a new filtering algorithm is formulated.To reduce the depth effect of volcanic rocks on the magnetic anomalies the surface potential fields are downward continued to the targeted horizon,then the potential fields are enhanced by return upward continuation vertical second derivation.In result the field energy is compensated in contrast to the depth attenuation, which will help to identify the magnetic anomalies caused by volcanic rocks of different type with their anomaly amplitude.By applying the technique to gravity and magnetic data in Ludong area covered with 3D seismic data in Junggar Basin,China,the distribution of volcanic rocks is studied comprehensively by seismic data and TEM profiles and exploration targets of volcanic rock are predicted in Ludong area.
引文
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[13] 李明,邹才能,刘晓.松辽盆地北部深层火山岩气藏识别与预测技术.石油地球物理勘探,2002,37(5) :477～484 Li M,Zou C N,Liu X,et al.Identifying and predicting technology of deep volcanics gas reservoir in north of Songliao basin.Oil Geophysical Prospecting (in Chinese),2002,37(5) :477～484
[14] 杨辉,宋吉杰,文百红等.火山岩岩性宏观预测方法--以松辽盆地北部徐家围子断陷为例.石油勘探与开发.2007,34(2) :150～155,196 Yang H,Song J J,Wen B H,et al.Macroscopic prediction of volcanic rock lithology:A case from Xujiaweizi faulted depression,northern Songliao Basin.Petroleum Exploration and Development(in Chinese),2007,34(2) :150～155,196
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[17] 滕佃波,邢春颖,王赟.基于地震横波分裂理论的火成岩裂缝检测.地球物理学进展,2005,20(2) :513～517 Teng D B,Xing C Y,Wang Y.The detection of fracture in igneous-rock-reservoir based on S-wave splitting.Progress in Geophysics (in Chinese),2005,20(2) :513～517
[18] 章凤奇,宋吉水,沈忠悦等.松辽盆地北部深层火山岩剩磁特征与裂缝定向研究.地球物理学报,2007,50(4) :1167～1173 Zhang F Q,Song J S,Shen Z Y,et al.A study on fracture orientation and characteristic of remnant paleomagnetization of deep-burial volcanic rocks,north of the Songliao Basin.Chinese].Geophys.(in Chinese),2007,50(4) :1167～1173
[19] 王建民,杨冬,魏修成等.多分量地震资料预测松辽盆地兴城地区深层火山岩与有利含气带.地球物理学报,2007,50(6) :1914～1923 Wang J M,Yang D,Wei X C,et al.Predicting deep volcanic rocks and favorable gas zone near Xingcheng area in Songliao Basin using multi-component seismic data.Chinese J.Geophys.(in Chinese),2007,50(6) :1914～1923
[20] 张治国,杨毅恒,夏立显等.RPROP算法在火成岩岩石分类中的应用.地球物理学进展,2008,23(3) :898～902 Zhang Z G,Yang Y H,Xia L X,et al.The application of RPROP algorithm to igneous rock classification.Progress in Geophysics (in Chinese),2008,23(3) :898～902
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