利用地震资料反演地层的碳酸盐含量

熊艳; 钟广法; 李前裕; 吴能友; 李学杰; 马在田

Volume 31 Issue 6

Jun. 2006

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Article Navigation > Earth Science > 2006 > 31(6): 851-856

XIONG Yan, ZHONG Guang-fa, LI Qian-yu, WU Neng-you, LI Xue-jie, MA Zai-tian, 2006. Inversion of Stratal Carbonate Content Using Seismic Data. Earth Science, 31(6): 851-856.

Citation:

XIONG Yan, ZHONG Guang-fa, LI Qian-yu, WU Neng-you, LI Xue-jie, MA Zai-tian, 2006. Inversion of Stratal Carbonate Content Using Seismic Data. Earth Science, 31(6): 851-856.

XIONG Yan, ZHONG Guang-fa, LI Qian-yu, WU Neng-you, LI Xue-jie, MA Zai-tian, 2006. Inversion of Stratal Carbonate Content Using Seismic Data. Earth Science, 31(6): 851-856.

Citation:

XIONG Yan, ZHONG Guang-fa, LI Qian-yu, WU Neng-you, LI Xue-jie, MA Zai-tian, 2006. Inversion of Stratal Carbonate Content Using Seismic Data. Earth Science, 31(6): 851-856.

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Inversion of Stratal Carbonate Content Using Seismic Data

1.
State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China
2.
Guangzhou Marine Geological Survey, Guangzhou 510760, China

Received Date: 2006-05-12
Publish Date: 2006-11-25

Abstract

Abstract

Based upon the relationship between carbonate content and stratal velocity and density, we attempted to apply the artificial neural network to the inversion of carbonate content summarized from the high-resolution seismic data limited by controlled well measurements. The method was applied to the slope area of the northern South China Sea near ODP Sites 1146 and 1148, with satisfactory results. The key to this method is the collection of several properties from seismic profiles across or near the wells. Then the progressive regression method was primarily applied to the determination of six seismic properties, most closely related to carbonate content variations, which are defined as average frequency, integrated absolute amplitude, dominating frequency, reflection time, derivative instantaneous amplitude, and instantaneous frequency. Finally, the stratal carbonate content is reversed. The reversal results thus obtained, with the errors of carbonate content mostly ranging within ±5% relative to those measured from sediment samples, show a relative accurate picture of carbonate-content distribution along the slope profile.
- carbonate content inversion,
- seismic data,
- artificial neural network,
- ODP Leg 184,
- northern South China Sea

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References(24)

References

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