Numerical Simulation of Two-Component Flow in Low-Permeability Gas Reservoirs
G. de Souza (),
M. A. do Amaral (),
J. G. Souza Debossam (),
M. M. de Freitas () and
H. P. Amaral Souto ()
Additional contact information
G. de Souza: Rio de Janeiro State University, Polytechnic Institute
M. A. do Amaral: Viridien Group
J. G. Souza Debossam: Rio de Janeiro State University, Polytechnic Institute
M. M. de Freitas: Rio de Janeiro State University, Polytechnic Institute
H. P. Amaral Souto: Rio de Janeiro State University, Polytechnic Institute
Chapter Chapter 28 in Integral Methods in Science and Engineering, 2026, pp 427-440 from Springer
Abstract:
Abstract In recent decades, the scientific and technological community dedicated to energy has been increasingly interested in producing and using natural gas. To this end, they introduced, for example, horizontal wells and hydraulic fracturing to recover hydrocarbons from low-permeability natural gas reservoirs, such as tight gas reservoirs. At the same time, researchers have improved both the physical-mathematical modeling and the reservoir simulation tools. This work employs numerical simulation of two-component flow in low permeability reservoirs to study carbon dioxide injection in methane reservoirs, using fully implicit numerical formulations and operator splitting. The effects of gas slippage and effective stress, which can occur in these reservoirs, are also considered. We present the results for a naturally fractured reservoir and an analysis of the influence of some operational conditions.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-04458-7_28
Ordering information: This item can be ordered from
http://www.springer.com/9783032044587
DOI: 10.1007/978-3-032-04458-7_28
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().