走滑断裂解释模型建立方法及装置、解释方法及装置

By constructing a UNet++ neural network model and combining seismic data and well logging information, the problems of low accuracy and large workload in interpreting strike-slip faults in carbonate formations were solved, and precise detection and efficient interpretation of small faults were achieved.

CN115542383BActive Publication Date: 2026-07-17CHINA UNIV OF PETROLEUM (BEIJING)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF PETROLEUM (BEIJING)
Filing Date
2022-09-20
Publication Date
2026-07-17

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Abstract

本说明书涉及地震断裂识别技术领域，提供了一种走滑断裂解释模型建立方法及装置、解释方法及装置。所述解释模型建立方法包括：接收地震数据和测井信息；根据所述地震数据，确定走滑断裂初始刻画图像；利用测井信息及地质演化规律对走滑断裂初始刻画图像进行调整，得到走滑断裂空间拓扑图像；将地震数据中地震剖面数据作为输入，走滑断裂空间拓扑图像的标签信息作为输出，由地震剖面数据及相应的走滑断裂空间拓扑图像构建训练样本，根据输入输出构建神经网络模型；利用训练样本训练所述神经网络模型，将训练完成的神经网络模型作为走滑断裂解释模型。通过本发明实施例，解决了小断裂的检测识别精度不高、地震解释人员刻画工作量大的问题。
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