| 利用成像测井评价储层孔隙空间的二维非均质性 |
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| 引用本文： | 刘丹,潘保芝,房春慧,曹飞,蒋必辞.利用成像测井评价储层孔隙空间的二维非均质性[J].世界地质,2014,33(3):640-646. |
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| 作者姓名： | 刘丹 潘保芝 房春慧 曹飞 蒋必辞 |
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| 作者单位： | 吉林大学 地球探测科学与技术学院，长春 130026 |
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| 摘 要： | 针对当前储层非均质性评价中表征方法单一、评价仅限于一维的研究现状,提出利用FMI成像测井评价储层井周二维孔隙空间非均质性的方法。通过比较目标储层的孔隙度频数分布曲线,从宏观上判断储层井周二维非均质性。选取合适的孔隙度二值化阈值,明确原、次生孔隙的所在位置。利用成像孔隙度谱将储层进行分类,判断目标储层的储集特性。利用储层非均质程度系数T定量评价储层井周二维非均质性。相比于利用常规测井识别裂缝、孔洞,通过FMI成像测井判断储层非均质性具有评价形式多样化、连续性、方位性、直观性和分辨率较高的优势,从而提高对储层非均质性的认知程度。
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| 关 键 词： | FMI 孔隙度 频数分布曲线 孔隙度谱 非均质程度系数 |
Evaluation of 2D heterogeneity of reservoir's pore space based on imaging logging |
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| LIU Dan,PAN Bao-Zhi,FANG Chun-Hui,CAO Fei,JIANG Bi-Ci.Evaluation of 2D heterogeneity of reservoir's pore space based on imaging logging[J].World Geology,2014,33(3):640-646. |
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| Authors: | LIU Dan PAN Bao-Zhi FANG Chun-Hui CAO Fei JIANG Bi-Ci |
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| Institution: | College of Geo-exploration Science and Technology，Jilin University，Changchun 130026，China |
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| Abstract: | In view of the current situation，the expressive method of reservoir''s heterogeneity is single and the evaluation is limited to one- dimensional，the authors proposed using FMI imaging logging method to evaluate 2D heterogeneity of reservoir''s pore space，which overcomes these defects． Through analyzing the target reservoir''s fre- quency distribution curves of porosity，the 2D heterogeneity of reservoir can be judged on a macro level． The posi- tions of primary and secondary porosities can be confirmed by suitable binary thresholds． Using imaging porosity spectrum the authors classify the reservoir， and determine target reservoir''s characteristics． Besides，the 2D hetero- geneity is quantitatively evaluated by Heterogeneous coefficient T． Compared to the use of conventional logging to identify cracks and holes，FMI imaging logging has the advantage of diverse evaluation forms in continuous，com- prehensive and intuitive characters with high resolution，which improves the cognition of reservoir''s heterogeneity． |
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| Keywords: | porosity frequency distribution curve porosity spectrum heterogeneous coefficient |
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