主成分分析法在泥页岩地层岩性识别中的应用
发布时间：2018-09-17 19:35
【摘要】：泥页岩地层岩性复杂,非均质性强,利用常规测井交会图法识别岩性往往具有多解性和不确定性。依据主成分分析理论,建立多条测井曲线的主成分计算模型,主成分Y_1,Y_2,Y_3的累积方差贡献率可达91.39%,能够准确反映原测井曲线的全部有效信息。研究结果表明,主成分分析法能够有效识别泥页岩地层的浅灰色泥岩、黑色泥岩、灰色粉砂岩及细砂岩等多种岩性,回判率达90.37%。与常规测井交会图法相比,主成分分析法可靠性更高,在泥页岩储层研究领域具有较广泛的应用前景。
[Abstract]:The lithology of shale strata is complex and heterogeneity, and it is often characterized by multiple solutions and uncertainties to identify lithology by using conventional well logging cross plot method. According to the principal component analysis theory, the principal component calculation model of many log curves is established. The cumulative variance contribution rate of the principal component Y1D / Y2T / Y3 can reach 91.39, which can accurately reflect all the effective information of the original log curve. The results show that principal component analysis (PCA) can effectively identify shale-grayish mudstone, black mudstone, gray siltstone and fine sandstone, and the recovery rate is 90.37g. The principal component analysis (PCA) is more reliable than the conventional well cross plot method and has a broad application prospect in the field of shale reservoir research.
【作者单位】： 成都理工大学油气藏地质及开发国家重点实验室;
【基金】：国家自然科学基金项目“硬脆/塑性泥页岩微裂缝产生的岩石物理学机理基础研究”(41572130)
【分类号】：P618.13;P631.81
[Abstract]:The lithology of shale strata is complex and heterogeneity, and it is often characterized by multiple solutions and uncertainties to identify lithology by using conventional well logging cross plot method. According to the principal component analysis theory, the principal component calculation model of many log curves is established. The cumulative variance contribution rate of the principal component Y1D / Y2T / Y3 can reach 91.39, which can accurately reflect all the effective information of the original log curve. The results show that principal component analysis (PCA) can effectively identify shale-grayish mudstone, black mudstone, gray siltstone and fine sandstone, and the recovery rate is 90.37g. The principal component analysis (PCA) is more reliable than the conventional well cross plot method and has a broad application prospect in the field of shale reservoir research.
【作者单位】： 成都理工大学油气藏地质及开发国家重点实验室;
【基金】：国家自然科学基金项目“硬脆/塑性泥页岩微裂缝产生的岩石物理学机理基础研究”(41572130)
【分类号】：P618.13;P631.81
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