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    岩溶古暗河宽度与高度预测方法及应用

    Predicting width and height of paleokarst underground rivers

    • 摘要: 塔河油田奥陶系碳酸盐岩储层岩溶古暗河发育广泛,因其埋藏深、形态复杂,故确定其空间展布十分困难,为了精细描述古暗河储集体规模,以正演模拟为手段,综合多类型属性叠合、测井资料和钻井验证,建立了古暗河宽度和高度量化表征方法。以不同宽度溶洞体正演模型的量化分析为基础,建立不同宽度校正模板,应用地震多属性叠合技术实现古暗河宽度分级校正;基于叠后地震资料时频分析结果提取频率衰减梯度属性,建立其与实钻暗河井测井解释高度之间的拟合关系,在暗河边界内部基于频率梯度平面属性量化表征古暗河发育高度。将该方法应用于塔里木盆地,实现了古暗河地震异常尺度与地质尺度的有效转换,为古暗河缝洞型储层高效开发提供了技术依据。通过实钻井验证,宽度大于100 m的暗河校正后精度达90%,宽度为50 ~ 100 m的暗河校正后精度约80%,宽度小于50 m的暗河量化可信度较低;井震标定与分析揭示了高频衰减梯度与古暗河高度的强线性相关性(R2≈0.80),证实了该属性对暗河高度进行量化表征的有效性。通过融合古暗河的宽度和高度预测方法,在对古暗河宽度进行分级校正后,将其内部替换为频率梯度平面属性,可实现古暗河宽度与高度的双重定量表征,为同类地区提供借鉴。

       

      Abstract: Paleokarst underground rivers are extensively developed in the Ordovician carbonate reservoirs of Tahe Oilfield. Their large burial depth and complex morphology make it challenging to accurately delineate their spatial distribution. This study employs forward modeling, multi-attribute stacking, well log interpretation, and drilling validation to quantitatively characterize the width and height of these underground rivers. Based on forward modeling and quantitative analysis of different cavern widths, correction templates are developed. Hierarchical river width correction is then achieved using multi-attribute stacking. To quantitatively characterize river height within its boundaries, the frequency attenuation gradient attribute is extracted from time-frequency analysis of poststack seismic data to establish a fitting relationship with the log-interpreted height of actual drilled rivers. This methodology is applied to the Tarim Basin, effectively converting seismic anomaly scale to geological scale for paleokarst underground rivers, thereby providing a technical foundation for the efficient development of fracture-cavity reservoirs associated with such rivers. Drilling validation shows that post-correction accuracy reaches 90% for rivers wider than 100 m and approximately 80% for those 50–100 m wide, while reliability is low for rivers narrower than 50 m. Well-to-seismic calibration reveals a strong linear correlation (R2 ≈ 0.80) between the high-frequency attenuation gradient and river height, confirming the effectiveness of this attribute for quantitative characterization. Hierarchical correction is integrated with frequency gradient attribute for quantitative characterization of river width and height. This integrated approach offers a valuable reference for similar regions.

       

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