碳酸盐岩铸体薄片面孔自动提取研究
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本文为国家自然科学基金青年资助项目(编号: 42002134),中国博士后科学基金第14批特别资助项目(编号: 242407)及中央高校基本科研业务费专项资金资助项目(编号: 2462020YJRC005)的成果


Study of automatic extraction porosity using cast thin sections for carbonates
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  • 1)油气资源与探测国家重点实验室,北京,102249;2)中国石油大学(北京)地球科学学院,北京,102249    
  • 1)油气资源与探测国家重点实验室,北京,102249;3)中国石油大学(北京)理学院,北京,102249    
  • 1)油气资源与探测国家重点实验室,北京,102249;2)中国石油大学(北京)地球科学学院,北京,102249    
  • 4)中国海洋石油国际有限公司,北京,100028    
  • 4)中国海洋石油国际有限公司,北京,100028    
  • 1)State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum (Beijing),Beijing,102249;2)College of Geosciences,China University of Petroleum (Beijing),Beijing,102249    
  • 1)State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum (Beijing),Beijing,102249;3)College of Sciences,China University of Petroleum (Beijing),Beijing,102249    
  • 1)State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum (Beijing),Beijing,102249;2)College of Geosciences,China University of Petroleum (Beijing),Beijing,102249    
  • 4)International Company Limited of China National Offshore Oil Corporation(CNOOC),Beijing,100028    
  • 4)International Company Limited of China National Offshore Oil Corporation(CNOOC),Beijing,100028    
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    摘要:

    岩石孔隙是储层储集油气的重要场所,通过铸体薄片进行岩石孔隙结构分析对储层质量评价具有重要意义。碳酸盐岩孔隙结构较为复杂,铸体薄片图像中存在大量噪声和干扰因素,致使常规方法面孔提取效果不佳,因此本文引入一种多阈值铸体薄片面孔自动提取方法(ctsPore方法)进行孔隙区域提取和面孔率估计,方法综合利用HSV色彩空间中不同参数提取孔隙区域。本文针对碳酸盐岩储层的特点确定了一套ctsPore阈值参数,以解决溶蚀孔与噪声易混淆的问题。实验以伊拉克A油田中新统 Asmari组A段碳酸盐储层为例对所使用算法进行了效果检验。算法精度和效率分析实验表明,基于ctsPore方法的碳酸盐岩铸体薄片面孔提取误差小于0.24%。全井段铸体薄片分析结果表明,A段储层面孔率范围主要分布在6%~8%,储层较为致密,从上到下A1~A3小层的储层平均面孔率分别为6. 9%、11.7%、5.4%,与储层物性、沉积微相和岩性等纵向分布规律较为吻合。

    Abstract:

    A pore extraction method from cast thin-sections by multiple thresholds (ctsPore method) was introduced in this paper to extract the pore and estimate the plane porosity.By comprehensively utilizing different physical property parameters in HSV color space,this method realizes accurate extraction of pore area and solves the problem that the dissolution pore is easily confused with noises.Results:①In this paper,a set of threshold parameters of ctsPore method is determined according to the characteristics of carbonate reservoirs: His 180°~240°,dt is 0.12,T1 and T2 are 320 mm2.The average absolute error and relative error of this method and PSQ method are 0.24% and 5%;②It only takes about 2.5 seconds to extract a 2560×1920 resolution image,which can be used to quickly extract pores of a large number of cast thin-sections images and provide feasible technical support for analyses of reservoir pores;③The ctsPore method is used to automatically extract pores from cast thin-sections of A Oilfield in Iraq.The results show that the porosity of the study area is mainly between 6% and 8%,and the reservoir is a relatively tight—low porosity reservoir;④The porosities of A1~A3 layers are 6.9%,11.7% and 5.4% respectively,which are consistent with the vertical distribution of physical properties,sedimentary microfacies and lithology of carbonate reservoirs in the study area.Conclusions:In this paper,a set of threshold parameters of ctsPore method is determined according to the characteristics of carbonate reservoirs.The accuracy and efficiency analysis experiments show that the porosity results of carbonate cast thin sections based on ctsPore method are consistent with the real situation.The porosity extraction results are consistent with the longitudinal distribution law including reservoir physical properties,sedimentary microfacies and lithology.

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杜相仪,董少群,曾联波,何娟,孙福亭.2021.碳酸盐岩铸体薄片面孔自动提取研究[J].地质论评,67(4):67050007,[DOI].
DU Xiangyi, DONG Shaoqun, ZENG Lianbo, HE Juan, SUN Futing.2021. Study of automatic extraction porosity using cast thin sections for carbonates[J]. Geological Review,67(4):67050007.

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  • 收稿日期:2021-04-29
  • 最后修改日期:2021-07-09
  • 在线发布日期: 2021-08-19