SEISMIC VELOCITY ANOMALY RECOGNITION METHOD AND ITS APPLICATION BASED ON FINE ITERATIVE MODELING
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摘要:
研究区是否存在横向速度异常及异常范围和大小将影响该区时深转换策略，因此精确描述横向速度异常将直接影响时深转换的可靠性。常规方法利用原始偏移速度及井插值速度体的求差运算识别速度异常，其精度较低。本文建立了基于约束速度反演及AVO更新准则的剩余速度分析方法以提高地震速度场精度，利用沿层去压实的速度异常识别方法来准确刻画横向速度异常。实际应用表明，该方法能更好地识别研究区明化镇组底面横向速度异常的展布范围及异常幅度，对常规时深转换方法做出风险提示，提出变速时深转换策略，取得了较好的实际应用效果。
Abstract:Abstract: Lateral velocity anomalies and their distribution patterns and intensities in a region affect the time-depth conversion strategy for the region, and, therefore, the accurate description of the lateral velocity anomalies will directly affect the reliability of the time-depth conversion. The conventional method uses the difference between the original migration velocity and the well interpolation velocity volumes to identify the velocity anomaly, and the precision is rather low. In this paper, a residual velocity analysis method based on constrained velocity inversion and AVO update criteria is adopted to improve the accuracy of seismic velocity field，and the method of velocity anomaly identification and decompacting along layers used to accurately describe the lateral velocity anomaly. Practical application shows that the method can effectively identify the distribution pattern of the lateral velocity anomaly for the bottom surface of the Minghuazhen Formation in the study area, give risk warning for regular time-depth conversion methods, effectively recommend variable velocity time-depth conversion strategy, and get better practical results.
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