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Quantitative and Multi-Scale Characterization of Pore Connections in Tight Reservoirs with Micro-CT and DCM (Vol.34, No.1) TEXT SIZE: A A A

WANG Yu-dan1, YANG Yu-shuang2,3*, LIU Ke-yu4,5, REN Yu-qi1, TAN Hai1, DENG Biao1, DU Guo-hao1, XIE Hong-lan1, XIAO Ti-qiao1
1. Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China;
2. Institute of Theoretical Physics and Department of Physics, Shanxi University, Taiyuan 030006, China;
3. CSIRO, Private Bag 33, Clayton, Vic 3169, Australia;
4. CSIRO, P.O. Box 1130, Bentley, WA 6102, Australia;
5. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China

Abstract: Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China The pore structures, whose sizes range from millimeters to micro-or even nano-meters, are complex in unconventional tight oil and gas reservoirs. Quantitative understanding of size, shape, distribution and connections of pores are important in estimating the relationships among total reserve, recoverable reserve and production rate. However, it has been a challenging task to adequately obtain 3D pore structures and interconnections at present due to the inherent multi-scale characteristics of pores. In this paper, the technique of data-constrained modeling (DCM) combined with multi-energy synchrotron radiation-based X-ray CT was used investigate the pore and fracture connectivity in unconventional oil and gas reservoirs. This method can obtain the micro-CT data for multi-scale pores and fractures and thus can obtain pore-size distributions and connections. The CT experiments were performed on limestone and shale samples in the Shanghai Synchrotron Radiation Facility and quantitative 3D structures, size distributions and connections of the pores and fractures were successfully obtained via DCM analyses, indicating that CT combined with DCM is a powerful tool for characterizing unconventional (tight) reservoirs.

Keywords: synchrotron-based CT data constrained modeling multi-scale pore-size and fracture distributions connection

*Corresponding Author, E-Mail: sam.yang@csiro.au

Bulletin of Mineralogy, Petrology and Geochemistry Vol. 34, No.1, 2015, page 86-92

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