MyJournals Home  

RSS FeedsEnergies, Vol. 12, Pages 3559: Impact of Heterogeneity on the Transient Gas Flow Process in Tight Rock (Energies)


17 september 2019 16:00:11

Energies, Vol. 12, Pages 3559: Impact of Heterogeneity on the Transient Gas Flow Process in Tight Rock (Energies)

There exits a great challenge to evaluate the flow properties of tight porous media even at the core scale. A pulse-decay experiment is routinely used to measure the petrophysical properties of tight cores including permeability and porosity. In this study, 5 sets of pulse-decay experiments are performed on a tight heterogeneous core by flowing nitrogen in the forward and backward directions under different pressures under pore pressures approximately from 100 psi to 300 psi. Permeability values from history matching are from about 300 nD to 600 nD which shows a good linear relationship with the inverse of pore pressure. A preferential flow path is found even when the microcrack is absent. The preferential path causes different porosity values using differential initial upstream and downstream pressure. In addition, the porosity values calculated based on the forward and backward flow directions are also different, and the values are about 1.0% and 2.3%, respectively, which is the primary novelty of this study. The core heterogeneity effect significantly affects the very early stage of pressure responses in both the upstream and downstream but the permeability values are very close in the late-stage experiment. We proposed that that there are two reasons for the preferential flow path: the Joule–Thomson effect for non-ideal gas and the core heterogeneity effect. Based on the finding of this study, we suggest that very early pressure response in a pulse-decay experiment should be closely examined to identify the preferential flow path, and failure to identify the preferential flow path leads to significant porosity and permeability underestimation. Digg Facebook Google StumbleUpon Twitter
31 viewsCategory: Biophysics, Biotechnology, Physics
Energies, Vol. 12, Pages 3560: Short-Term Load Forecasting for a Single Household Based on Convolution Neural Networks Using Data Augmentation (Energies)
Energies, Vol. 12, Pages 3564: Evaluation of Photovoltaic Power Generation by using Deep Learning in Solar Panels Installed in Buildings (Energies)
blog comments powered by Disqus
The latest issues of all your favorite science journals on one page


Register | Retrieve



Use these buttons to bookmark us: Digg Facebook Google StumbleUpon Twitter

Valid HTML 4.01 Transitional
Copyright © 2008 - 2020 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn