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Synergetic Effect of Water, Temperature, and Pressure on Methane Adsorption in Shale Gas Reservoirs.
Han, Wencheng; Li, Aifen; Memon, Asadullah; Ma, Min.
Afiliação
  • Han W; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China.
  • Li A; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China.
  • Memon A; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China.
  • Ma M; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China.
ACS Omega ; 6(3): 2215-2229, 2021 Jan 26.
Article em En | MEDLINE | ID: mdl-33521461
Adsorption is one of the most important forms of storage of gas in shale reservoirs. Shale gas adsorption in the actual reservoir is not only affected by individual factors such as water content, temperature, and pressure but also by the synergetic effect of these factors. In this study, we conducted laboratory experiments on methane adsorption in dry and wet shale at different pressures and temperatures. The synergetic effect of water content, temperature, and pressure on shale gas adsorption is explored. The results show that increasing temperature weakens the interaction between methane and shale and reduces adsorption capacity due to the exothermic nature of adsorption. Water reduces methane adsorption capacity by occupying adsorption sites and blocking pores in the shale system. Although temperature and water reduce methane adsorption individually, the effect of these two factors weakens each other. Temperature has a more significant effect on methane adsorption in shales with low water content, while water has a more remarkable impact on methane adsorption at a low temperature. Furthermore, the increase in pressure reduces the negative influence of water and temperature on methane adsorption. By quantitatively analyzing the relationship between methane adsorption in dry and wet shales, a predictive adsorption model for wet shale considering the influence of in situ conditions is proposed and validated. Validation shows that the proposed model has high accuracy and broad applicability to shales with different properties.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China