A Prediction Model for Methane Adsorption Capacity in Shale Gas Reservoirs

Jie Zou and Reza Rezaee
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Jie Zou: Curtin WA School of Mines: Minerals, Energy and Chemical Engineering, Perth 6151, Australia
Reza Rezaee: Curtin WA School of Mines: Minerals, Energy and Chemical Engineering, Perth 6151, Australia

Energies, 2019, vol. 12, issue 2, 1-13

Abstract: Estimation of methane adsorption capacity is crucial for the characterization of shale gas reservoirs. The methane adsorption capacity in shales is measured using high-pressure methane adsorption to obtain the adsorption isotherms, which can be fitted by Langmuir model. The determined Langmuir parameters can provide the methane adsorption capacity under actual reservoir conditions. In this study, a prediction model for the methane adsorption in shales was constructed based on 66 samples from 6 basins in China and Western Australia. The model was established in four steps: a model of Langmuir volume at experimental temperature, the temperature dependence of Langmuir volume, a model of Langmuir pressure, the temperature dependence of Langmuir pressure. In the model of Langmuir volume at experimental temperature, total organic carbon (TOC) and clay content ( V sh ) were considered. A positive relationship was observed between the TOC and the temperature effect on the Langmuir volume. As the Langmuir pressure is sensitive to various factors, the Langmuir pressure at experimental temperature shows no trend with the TOC, clay content and thermal maturity, but a positive trend with the Langmuir volume. The results of this study can help log analysts to quantify adsorbed gas from well-log data since TOC and V sh , which are the measure inputs of the introduced models, can be obtained from well-log data as well.

Keywords: shale gas; methane adsorption capacity; Langmuir volume; Langmuir pressure; total organic carbon; clay content (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: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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