摘要:
低序级断层在地震剖面上,通常表现为具有微小错动,同相轴扭曲,或者振幅变弱,延伸短、断距小、识别难,描述难等特征。在对采集处理过程中影响低序级断层识别的观测系统面元网格、信噪比、频率、速度误差等因素详细分析的基础上,通过建立全波场正演地质模型,借助方查体属性技术以及井资料,研究了针对性的处理技术。同时利用相干体属性、曲率属性沿层切片、方差体等技术进行有效识别低级序断层,取得了较好的效果。
关键词:
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低序级断层
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信噪比
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频率
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速度分析
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方差体
Abstract:
In seismic profiles, low-grade faults are usually characterized by small dislocation, events distortion, weakened amplitude, short extension and small fault throw, and thus difficult to be identified and described. Based on the detailed analysis of observation system bin grid, S/N, frequency, velocity error and other factors that may affect the identification of low-grade faults during data acquisition and processing, we established a full wave field forward geological model with variance cube attributes and well data, and developed a targeted processing technique in this paper. Coherence cube attributes, curvature attributes along-layer slice, variance cube and other techniques are also used to effectively identify low-grade faults, and good results have been achieved.
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