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Comparison between several multi-parameter seismic inversion methods in identifying plutonic igneous rocks 被引量:6
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作者 Yaog Haijun Xu Yongzhong +4 位作者 Huang Zhibin Chen Shizhong Yang Zhilin Wu Gang Xiao Zhongyao 《Mining Science and Technology》 EI CAS 2011年第3期325-331,共7页
With the objective of establishing the necessary conditions for 3-D seismic data from a Permian plutonic oilfield in western China, we compared the technology of several multi-parameter seismic inversion methods in id... With the objective of establishing the necessary conditions for 3-D seismic data from a Permian plutonic oilfield in western China, we compared the technology of several multi-parameter seismic inversion methods in identifying igneous rocks. The most often used inversion methods are Constrained Sparse Spike Inversion (CSSI), Artificial Neural Network Inversion (ANN) and GR Pseudo-impedance Inversion. Through the application of a variety of inversion methods with log curves correction, we obtained relatively high-resolution impedance and velocity sections, effectively identifying the lithology of Permian igneous rocks and inferred lateral variation in the lithology of igneous rocks. By means of a comprehensive comparative study, we arrived at the following conclusions: the CSSI inversion has good waveform continuity, and the ANN inversion has lower resolution than the CSSI inversion. The inversion results show that multi-parameter seismic inversion methods are an effective solution to the identification of igneous rocks. 展开更多
关键词 Constrained Sparse Spike inversionartificial Neural Network InversionMulti-parameter inversionIdentification of igneous rocks
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