Microstructure characterization based on CT imaging technology of Cambrian dolomite reservoir in Tarim Basin

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  • 1.Key Laboratory of Carbonate Reservoir,CNPC,Hangzhou 310023,China;
    2.PetroChina Hangzhou Research Institute of Geology,Hangzhou 310023,China;
    3.Tarim Oil field Company,PetroChina,Korla 841000,China

Received date: 2015-06-19

  Revised date: 2015-07-28

  Online published: 2019-09-20

Abstract

Reservoir microstructure characterization is a basis to identify the effectiveness of reservoir.The traditional methods such as casting thin sections,scanning electron microscope and mercury intrusion have limitation to characterize carbonate reservoir,furthermore,they can't characterize the 3D features of pores and throats.Using CT imaging technology,8 typical dolomite samples which represent 8 different reservoir spaces of Cambrian in Tarim Basin were scanned and their pore-throat structural parameters were calculated.CT images 3D structure models clearly show the shape,size,connectivity and distribution characteristic of intracrystalline pore,intercrystalline dissolved pore,vug,intergranular pore,intragranular dissolved pore,algae framework pore,Gypsum-dissolved pore and fracture in 3D space;The structure parameters of pore-throat such as porosity,radius,quantity and connectivity can quantitatively characterize the effectiveness of the dolomite reservoir.By comparing these parameters,it can be known that the dolomite with evenly distributed pores,high porosity and connectivity can be a high-quality dolomite reservoir,so vug is the most effective and important reservoir space,intracrystalline pore,intercrystalline dissolved pore and intergranular pore are second.This method provides a new way for the judgment of the scale and effectiveness of dolomite reservoir in Tarim Basin.

Cite this article

Zheng Jian-feng, Chen Yong-quan, Ni Xin-feng, Yan Wei, Huang Li-li, Zhang Yan-qiu . Microstructure characterization based on CT imaging technology of Cambrian dolomite reservoir in Tarim Basin[J]. Natural Gas Geoscience, 2016 , 27(5) : 780 -789 . DOI: 10.11764/j.issn.1672-1926.2016.05.0780

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