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RESEARCH ON SEISMIC MICROSTRATIGRAPHY USING SEISMIC WAVE CHARACTERISTIC PARAMETERS —— Distraction of the fluvial fan's sedimentary microfacies of E s s 4 in SLLJ region

He Jian, Guo Ru

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Abstract

There are five sedimentary microsequencies of E s s 4's fluvial fan in SLLJ region. The authors get many special wave parameters from 3D seismic data and compress them in order to lessen their numbers by K L method. After making correlation analysis with sand thickness, the authors can get every microsequence's drilling weighting seismic facies factors using main characteristic factor analysis and make them into seismic microfacies distributions. On the basic of integrated analysis with drilling microfacies and logging microfacies, the authors successfully convert them into sedimentary microfacies distribution. So this paper offers a method for sedimentary microfacies analysis from seismic data, and it is very useful to the sedimentary research of complicated lithology.

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What this paper is about

There are five sedimentary microsequencies of E s s 4's fluvial fan in SLLJ region. The authors get many special wave parameters from 3D seismic data and compress them in order to lessen their numbers by K L method. After making correlation analysis with sand thickness, the authors can get every microsequence's drilling weighting seismic facies factors using main characteristic factor analysis and make them into seismic microfacies distributions. On the basic of integrated analysis with drilling microfacies and logging microfacies, the authors successfully convert them into sedimentary microfacies distribution. So this paper offers a method for sedimentary microfacies analysis from seismic data, and it is very useful to the sedimentary research of complicated lithology.

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Available abstract

There are five sedimentary microsequencies of E s s 4's fluvial fan in SLLJ region. The authors get many special wave parameters from 3D seismic data and compress them in order to lessen their numbers by K L method. After making correlation analysis with sand thickness, the authors can get every microsequence's drilling weighting seismic facies factors using main characteristic factor analysis and make them into seismic microfacies distributions. On the basic of integrated analysis with drilling microfacies and logging microfacies, the authors successfully convert them into sedimentary microfacies distribution. So this paper offers a method for sedimentary microfacies analysis from seismic data, and it is very useful to the sedimentary research of complicated lithology.

Key concepts: Geology, Sedimentary rock, Facies, Fluvial, Lithology, Drilling, Paleontology, Engineering

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RESEARCH ON SEISMIC MICROSTRATIGRAPHY USING SEISMIC WAVE CHARACTERISTIC PARAMETERS —— Distraction of the fluvial fan's sedimentary microfacies of E s s 4 in SLLJ region — Research Paper | ScholarLens