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    高邮凹陷阜四段页岩油甜点预测技术及应用

    Shale oil sweet spotting techniques and their application in Fu 4 Member, Gaoyou sag

    • 摘要: 苏北盆地高邮凹陷阜四段页岩油资源丰富,然而其勘探开发目前尚处于初期阶段,亟需开展甜点地震预测,以明确勘探潜力与开发方向。优选了总有机碳(TOC)含量、游离烃(S1)、孔隙度、脆性矿物含量、压力系数以及地应力等参数,作为地质工程甜点预测的关键指标。在明确甜点特征的基础上,通过岩石物理分析,明确了地质工程关键参数与弹性参数之间的响应关系;随后,采用全道集抗噪二次拟合弹性反演技术,构建了高精度的地球物理参数预测流程,实现了地质−工程甜点的定量预测与综合评价。预测结果表明,研究区优质甜点面积达84.35 km2。其中,樊川次凹的储层品质最优,TOC含量高达1.9%,S1为4.6 mg/g,孔隙度为8%,脆性矿物含量为85%,压力系数大于1.6,应力差异比小于0.2。实钻井数据显示,在优选的甜点区部署的Y108侧钻水平井获高产工业油流,证实了预测结果的可靠性,为该区页岩油的勘探开发提供了技术支撑。

       

      Abstract: The fourth member of the Funing Formation (referred to as Fu 4 Member) in the Gaoyou sag of the Subei Basin is rich in shale oil resources. However, its exploration and development are still in the initial stage, making seismic sweet-spot prediction imperative to clarify the exploration potential and development direction. We define total organic carbon (TOC) content, free hydrocarbon (S1), porosity, brittle mineral content, pressure coefficient, and in-situ stress as the key parameters for predicting geologic-engineering sweet spots. Based on sweet spot characteristics, the relationships between key geologic-engineering and elastic parameters are established through petrophysical analysis. Using noise-resistant elastic inversion with full-gather quadratic fitting, a high-precision geophysical parameter prediction workflow is constructed, enabling the quantitative prediction and comprehensive evaluation of geologic-engineering sweet spots. Research results indicate an area of 84.35 km2 for high-graded sweet spots in the study region. Top reservoir properties occur in the Fanchuan sub-sag, with TOC content up to 1.9%, S1 of 4.6 mg/g, porosity of 8%, brittle mineral content of 85%, pressure coefficient above 1.6, and stress difference ratio below 0.2. These prediction techniques, validated by the high-yield commercial oil flow from Y108, a horizontal well deployed in the optimized sweet-spot area, provide technical support for shale oil exploration and development in the region.

       

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