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地震属性与智能解释

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本课程基于地震数据及其属性分析，对油气盆地地层、构造和沉积特征进行解释和分析，覆盖全球各盆地经典案例，同时引入基于地震属性的人工智能方法，培养学生智能解析数据并应用于油气勘探、地质研究的实践能力。

Syllabus

Lecture 1. Seven components of hydrocarbon accumulation

Lecture 2. The Seismic Experiment

Lecture 3. Spectral Content

Lecture 4. Color display and 3D visualization

Lecture 5. Horizon and formation attributes

Lecture 6. Attribute Expression of Tectonic Deformation

Lecture 7. Attribute Expression of Clastic Deposition

Lecture 8. Attribute Expression of Carbonate Deposition

Lecture 9. Attribute Selection for Machine Learning vs. Attribute Selection for Interactive Interpretation

Lecture 10. Intelligent Interpretation Models for Faults: Res18U-Net

Final exam

Taught by

China University of Petroleum,Beijing

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