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    高温高压实验数据约束下的致密储层岩石物理建模及甜点响应特征——以西湖凹陷花港组为例

    Rock physical modeling and sweet spot characteristics of tight reservoir constrained by high-temperature and high-pressure experimental data——A case study of Huagang Formation in Xihu Depression

    • 摘要: 岩石物理模型是连接储层物性参数与弹性参数的桥梁,然而传统岩石物理建模通常是在常温常压条件下进行的,忽略了地层温度、压力对岩石物理性质的影响。研究储层条件下(高温、高压)孔隙度、含水饱和度等物性参数与地震参数之间的关系,对于储层甜点的精确识别及定量解释具有极为重要的意义。本文以西湖凹陷花港组致密砂岩储层为研究对象,在高温高压岩石物理实验基础上,拟合了岩石基质、干岩石骨架以及饱和岩石弹性参数之间的响应关系,进而搭建了基于KT模型与WPH模型的岩石物理建模方法流程,最终明确了花港组致密砂岩储层甜点的岩石物理响应特征,制作了岩石物理量版并厘定了甜点敏感弹性参数。结果表明:基于KT模型与WPH模型的岩石物理模型对西湖凹陷花港组致密砂岩储层具有较高的模拟精度,速度曲线重构误差小于5%;甜点敏感参数为纵横波速度比,当纵横波速度比小于1.65时可有效指示甜点。

       

      Abstract: Rock physics models serve as a bridge connecting reservoir physical property parameters and elastic parameters. However, traditional rock physics modeling is usually carried out under normal temperature and pressure conditions, ignoring the influence of formation temperature and pressure on rock physical properties. Studying the relationship between physical parameters such as porosity and water saturation and seismic parameters under reservoir conditions (high temperature and high pressure) is of great significance for the accurate identification and quantitative interpretation of reservoir sweet spots. Taking the tight sandstone reservoir of the Huagang Formation in the Xihu Depression as the research object, based on high-temperature and high-pressure rock physics experiments, this paper fits the response relationships among the elastic parameters of rock matrix, dry rock skeleton and saturated rock, then establishes a rock physics modeling method based on the KT model and WPH model, finally clarifies the rock physics response characteristics of the tight sandstone reservoir sweet spots of the Huagang Formation, compiles rock physics templates and identifies the sweet spot-sensitive elastic parameters. The results show that the rock physics model based on the KT model and WPH model has high simulation accuracy for the tight sandstone reservoir of the Huagang Formation in the Xihu Sag, with the velocity curve reconstruction error less than 5%; the sweet spot-sensitive parameter is the P-wave to S-wave velocity ratio, and the ratio less than 1.65 can effectively indicate sweet spots.

       

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