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Probability distribution method based on the triple porosity model to identify the fluid properties of the volcanic reservoir in the Wangfu fault depression by well log

机译:基于三重孔隙度模型的概率分布方法,通过测井识别王府断陷火山岩储层的流体性质

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Due to the powerful anisotropy of the physical properties of volcanic reservoirs, their component minerals and pore configuration are very complex, rendering fluid identification very difficult. This paper first computed the cementation exponent, which was based on triple porosity model, then used the varied matrix density and matrix neutron to compute the porosity, and finally combined with resistivity well log, and a P (1/2) probability distribution curve was built. The fluid properties were predicted from the shape of the P (1/2) probability distribution curve. Good results were achieved when these methods were used in the volcanic reservoir of the Wangfu fault depression, which indicated that these methods can be used in the fluid property identification of volcanic reservoirs and can also be referred to for other lithology reservoirs.
机译:由于火山岩储层物性的强各向异性,其组成矿物和孔隙构造非常复杂,因此很难识别流体。本文首先基于三重孔隙度模型计算固井指数,然后利用变化的基质密度和基质中子来计算孔隙度,最后结合电阻率测井曲线,得出P(1/2)概率分布曲线内置的。根据P(1/2)概率分布曲线的形状预测流体性质。在王府断陷火山岩储层中采用这些方法取得了良好的效果,表明这些方法可用于火山岩储层的流体性质识别,也可为其他岩性储层参考。

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