Title: Pore characteristics and its significance on shale gas reservoir: a case study of the Longmaxi shale in the Nanchuan region, Chongqing, South China

Authors: Huihuang Fang; Shuxun Sang; Jilin Wang; Wei Ju

Addresses: Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education, China University of Mining and Technology, Xuzhou 221008, China; School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China ' Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education, China University of Mining and Technology, Xuzhou 221008, China; School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China ' Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education, China University of Mining and Technology, Xuzhou 221008, China; School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China ' Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education, China University of Mining and Technology, Xuzhou 221008, China; School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China

Abstract: Micro pore structure of shale has attracted much attention, which can be discussed based on the improved classical model. The Longmaxi shale is as research object. The results show the TOC ranges from 0.50% to 2.65%, equivalent reflectance is between 2.22% and 2.75%, and clay mineral content ranges from 23.7% to 35.4%. The porosity and total surface area are between 1.77% and 3.69%, 26.67 m²/g and 38.46 m²/g, respectively. Volume and surface area of micro-pores are primarily determined by the diameter, less than 10 nm. Meso-pores are more likely to develop in organic particles. The morphology of pores is in cylindrical and parallel-plate shape. The improved BET model can be utilised to calculate dimensions and surface area of the micro-pores. The D-R equation usually overestimates the volume of the micro-pore. The H-J model and carbon black model by the V-T method verify the effectiveness of the improved BET model. [Received: October 24, 2016; Accepted: September 1, 2017]

Keywords: pore characteristics; Longmaxi shale; improved BET model; V-T method; D-R equation; Nanchuan region.

DOI: 10.1504/IJOGCT.2018.093127

International Journal of Oil, Gas and Coal Technology, 2018 Vol.18 No.3/4, pp.512 - 536

Received: 24 Oct 2016
Accepted: 01 Sep 2017
Published online: 10 Jul 2018 *

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