南海珠江口盆地基底花岗质岩测井相分析及储层物性

Guiyu Hua, Xueqi Yang, Changhai Xu, Shenglan Lei, G. Zhong
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摘要

基底花岗质岩是潜在的油气藏;然而,我们对其储层性质的了解仍然有限。南海北部珠江口盆地花岗岩岩性占基底岩性的57%,为研究基底花岗岩储层特征和分布提供了良好的契机。本文报道了在13口探井常规测井资料的基础上,对PRMB基底花岗质岩石进行测井相分析的结果。在分析中,结合了变化点分析的分割方法和模糊c均值聚类的测井相分类方法。结果识别出5个测井相(LF),命名为LF 1 ~ LF 5。综合分析不同测井资料的岩性意义,与文献中确认的类似案例进行类比,并根据有限的岩屑和侧壁取心数据进行标定,对测井相进行了解释。根据次生孔隙和裂缝发育程度的不同,盆地基底花岗质岩石储集物性差异很大。低密度(DEN)、高声波透射时间(AT)和较高中子孔隙度(NP)测井相(LF 3)为次生孔隙和裂缝发育的花岗岩储集潜力最佳,其次是高伽马(GR)、较高声波透射时间(AT)和低中子孔隙度(NP)测井相(LF 2),以及低NP、中等声波透射时间(DEN)和具有不同数量裂缝的AT (LF 4)测井相。其余lf1和lf5为代表的花岗质岩石整体致密,储层物性较差。有利储层测井相由lf2 ~ lf4组成,呈非均质分布。这些发现将有助于加深我们对基底花岗质储层性质的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Log Facies Analysis and Reservoir Properties of Basement Granitic Rocks in the Pearl River Mouth Basin, South China Sea
Basement granitic rocks represent potential hydrocarbon reservoirs; however, our understanding of their reservoir properties remains limited. In the Pearl River Mouth Basin (PRMB) of the northern South China Sea continental margin, granitic rocks account for ~57% of the basement in terms of lithology, which provides an excellent opportunity to investigate the characteristics and distribution of basement granitic reservoirs. Here we report results from a log facies analysis of the basement granitic rocks in the PRMB based on conventional well-logging data of 13 exploration wells. In the analysis, methods of change-point analysis for segmentation and fuzzy c-means clustering for log facies classification were integrated. As a result, five log facies (LF), named LF 1 to 5, were identified. These log facies were interpreted by integrating the analysis of the lithologic significance of different well logs, the analogy with similar cases confirmed in the literature, and the calibration from the limited cutting and sidewall coring data. Reservoir properties of the basement granitic rocks in the PRMB are highly varied, depending on the degree of the development of secondary porosities and fractures. It is suggested that the granitic rocks with developed secondary porosities and fractures, as represented by the low density (DEN), high acoustic transit time (AT), and relatively high neutron porosity (NP) log facies (LF 3), have the best reservoir potential, followed by the high gamma ray (GR), relatively high AT, and low NP (LF 2), and the low NP, moderate DEN, and AT (LF 4) log facies with variable amounts of fractures, respectively. Granitic rocks represented by the remaining LF 1 and 5 are overall tight and of poor reservoir properties. Favorable reservoir log facies, consisting of LF 2 through 4, are heterogeneously distributed. These findings will be beneficial to deepening our understanding of the reservoir properties of basement granitic rocks.
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