On the Use of the Multi-Site Langmuir Model for Predicting Methane Adsorption on Shale

Zhe Wu, Yuan Ji, Ke Zhang, Li Jing and Tianyi Zhao ()
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Zhe Wu: State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Efficient Development, Beijing 102206, China
Yuan Ji: College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing 102249, China
Ke Zhang: College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing 102249, China
Li Jing: Chemical and Petroleum Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
Tianyi Zhao: State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Efficient Development, Beijing 102206, China

Energies, 2024, vol. 17, issue 19, 1-15

Abstract: Shale gas, mainly consisting of adsorbed gas and free gas, has served a critical role of supplying the growing global natural gas demand in the past decades. Considering that the adsorbed methane has contributed up to 80% of the total gas in place (GIP), understanding the methane adsorption behaviors is imperative to an accurate estimation of total GIP. Historically, the single-site Langmuir model, with the assumption of a homogeneous surface, is commonly applied to estimate the adsorbed gas amount. However, this assumption cannot depict the methane adsorption characteristics due to various compositions and pore sizes of shales. In this work, a multi-site model integrating the energetic heterogeneity in adsorption is derived to predict methane adsorption on shale. Our results show that the multi-site model is capable of addressing the heterogeneity of shales by a wide range of adsorption energy distributions (owing to the complex compositions and different pore sizes), which is different from the single-site model only characterized by single adsorption energy. Consequently, the multi-site model results have better accuracy against the experimental data. Therefore, applying the multi-site Langmuir model for estimating GIP in shales can achieve more accurate results compared with using the traditionally single-site model.

Keywords: multi-site adsorption; Langmuir model; methane adsorption; shale gas (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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