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Geostatistical Inversion in Thin Limestone Reservoir of Low Porosity and Low Permeability: The Application in Da'anzhai member in the eastern Sichuan Basin

机译:低孔隙率薄石灰岩储层的地统计反演和低渗透性:四川盆地大安寨成员的应用

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The prediction of thin limestone reservoir is an international problem in seismic exploration. The limestone reservoir of Da'anzhai member in the eastern Sichuan Basin features super tightness, strong heterogeneity and thin layers. Based on post-stack deterministic Constrained Sparse Spike Inversion, this paper applies geostatistical inversion to predict the thin limestone reservoir of Da'anzhai member. The geostatistical inversion method can effectively integrate geological, well logging and seismic data, taking advantage of the higher vertical resolution of well logging data and higher lateral resolution of seismic data, describing the subtle changes in the reservoir more accurately, thus it works well in identifying thin limestone reservoir with strong heterogeneity. Furthermore, the formation porosity is achieved by co-simulation, and the predicted results match well drilling result well.
机译:薄石灰岩水库的预测是地震勘探中的国际问题。川南盆地大南海会员石灰岩水库具有超紧密性,强大的异质性和薄层。基于堆栈后确定性受限的稀疏峰值反演,本文适用地统计学反转来预测大安寨成员的薄石灰岩储层。地质统计反演方法可以有效地集成了地质,井测井和地震数据,利用井测井数据的较高垂直分辨率和地震数据的较高横向分辨率,描述了储层的微妙变化更准确,因此它在识别中很好薄石灰石水库具有强烈的异质性。此外,通过共模实现地层孔隙率,并且预测结果良好地匹配钻井率。

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