Generalized Simplified Local-Density/Peng−Robinson Model for Adsorption of Pure and Mixed Gases on Coals

التفاصيل البيبلوغرافية
العنوان: Generalized Simplified Local-Density/Peng−Robinson Model for Adsorption of Pure and Mixed Gases on Coals
المؤلفون: Sayeed A. Mohammad, Jing S. Chen, Khaled A.M. Gasem, Robert L. Robinson
المصدر: Energy & Fuels. 23:6259-6271
بيانات النشر: American Chemical Society (ACS), 2009.
سنة النشر: 2009
مصطلحات موضوعية: Work (thermodynamics), Coalbed methane, Chemistry, business.industry, General Chemical Engineering, Energy Engineering and Power Technology, Mineralogy, Thermodynamics, Carbon sequestration, Methane, chemistry.chemical_compound, Fuel Technology, Adsorption, Proximate analysis, Coal, Gas composition, business
الوصف: Simulations of enhanced coalbed methane recovery (CBM) and CO2 sequestration in coalbeds require an adsorption model to predict the amount of adsorbed gas in a reservoir as a function of pressure, temperature, and gas composition. The availability of a coal-structure-based generalized adsorption model would be a valuable tool for use in a reservoir simulator, since it would facilitate predictions of gas adsorption behavior at the conditions encountered in CBM production and CO2 sequestration. Therefore, in this work, we present a coal-structure-based generalized adsorption model capable of accurate a priori predictions of gas adsorption on diverse coals. The model was developed within a rigorous theoretical framework based on a local-density formulation. Specifically, we have utilized the simplified local-density/Peng−Robinson (SLD-PR) model and generalized it in terms of coal characterization information available from ultimate and proximate analyses of the coals. The newly developed generalized model is...
تدمد: 1520-5029
0887-0624
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1dfad2f395cbfb4650343d651467f808
https://doi.org/10.1021/ef900642j
رقم الأكسشن: edsair.doi...........1dfad2f395cbfb4650343d651467f808
قاعدة البيانات: OpenAIRE