The Petrophysical Basis of Gas Transportation in Coal Reservoirs-Implications on Sorption and Diffusion

P. Naveen, K. Ojha
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Abstract

Comprehensive and systematic analysis of complex pore networks is vital in elucidating the transportation of gas in coal reservoirs. In this study, multiscale heterogeneity of high volatile bituminous (hvBb) coal was reconstructed to replicate the pore connectivity. Furthermore, LPA-N2 data provides information about pore characteristics. With the digital and physical data, reliable pore-scale modelling was developed for the prediction of pore filling, sorption and diffusion of gases, including the network of pores and flow paths. The results obtained from this systematic approach is informative and gives complete details about the internal structure of coal that is viable for transportation of gas. Pore-scale modelling replicates familiar lab results. Consequently, geoscientists and reservoir engineers will be able to shorten traditional cycle times dramatically, better understand increasingly complex heterogeneous coal reservoirs, and evaluate exploratory wells, asses field development potential, and investigate early production strategies, as well improved recovery scenarios.
煤储层天然气输运的岩石物理基础——对吸附和扩散的启示
对复杂孔隙网络进行全面、系统的分析对于阐明煤储层中天然气的输运具有重要意义。本研究对高挥发性烟煤(hvBb)的多尺度非均质性进行了重构,以再现其孔隙连通性。此外,LPA-N2数据提供了孔隙特征信息。利用数字和物理数据,建立了可靠的孔隙尺度模型,用于预测气体的孔隙填充、吸附和扩散,包括孔隙网络和流动路径。从这种系统的方法中得到的结果是翔实的,并给出了煤的内部结构的完整细节,这是可行的天然气运输。孔隙尺度模型复制了熟悉的实验室结果。因此,地球科学家和油藏工程师将能够大大缩短传统的周期时间,更好地了解日益复杂的非均质煤储层,评估探井,评估油田开发潜力,研究早期生产策略,以及提高采收率的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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