蒋振会, 齐颖. 曲线重构反演在非常规油藏储层横向预测中的应用[J]. 海洋地质前沿, 2016, 32(7): 64-70. DOI: 10.16028/j.1009-2722.2016.07009
    引用本文: 蒋振会, 齐颖. 曲线重构反演在非常规油藏储层横向预测中的应用[J]. 海洋地质前沿, 2016, 32(7): 64-70. DOI: 10.16028/j.1009-2722.2016.07009
    JIANG Zhenhui, QI Ying. APPLICATION OF CURVE RECONSTRUCTION INVERSION TO LATERAL PREDICTION OF UNCONVENTIONAL RESERVOIR[J]. Marine Geology Frontiers, 2016, 32(7): 64-70. DOI: 10.16028/j.1009-2722.2016.07009
    Citation: JIANG Zhenhui, QI Ying. APPLICATION OF CURVE RECONSTRUCTION INVERSION TO LATERAL PREDICTION OF UNCONVENTIONAL RESERVOIR[J]. Marine Geology Frontiers, 2016, 32(7): 64-70. DOI: 10.16028/j.1009-2722.2016.07009

    曲线重构反演在非常规油藏储层横向预测中的应用

    APPLICATION OF CURVE RECONSTRUCTION INVERSION TO LATERAL PREDICTION OF UNCONVENTIONAL RESERVOIR

    • 摘要: 波阻抗反演是储层预测的一种重要手段,但是当储层与非储层(围岩)波阻抗差异不明显时,利用常规波阻抗反演技术难以较好地识别储层,而测井曲线重构技术可以有效提高岩性识别和储层预测的精度,减少多解性。结合鄂尔多斯盆地南部HH油田延长组勘探开发实践,利用伽马曲线重构声波反演技术对有利区域进行了预测,有效地提高了反演剖面的分辨率,并在一定程度上提高了岩性解释的准确性和精度。同时,通过对HH油田D井区实际例子进行波阻抗反演和储层预测的应用,取得了良好的效果,表明该方法是一种简单、实用、有效的曲线重构技术。

       

      Abstract: Wave impedance inversion is an important mean for reservoir prediction. However, it is difficult to identify the reservoir using conventional wave impedance inversion if the wave impedance difference between the reservoir and non-reservoir (wall rock) is not obvious enough. The well logging curve reconstruction technique can effectively improve the qualities of lithology identification and reservoir prediction, and reduce multiple solutions. The Yanchang Formation of the Honghe Oilfield in the south of the Erdos Basin is adopted as a case in this paper. Favorable regions are predicted using the Gamma Logging curve reconstruction technique, the resolution of inversion is effectively improvesd, and the quality of interpretation and prediction is also improved to certain extent. Good results are achieved by using the wave impedance inversion to predict reservoir in the Well D area of the Honghe oilfield. The practice shows that the method is practical and effective even it is simple.

       

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