@inproceedings{scholars18813, note = {cited By 0; Conference of 3rd Symposium on Industrial Science and Technology, SISTEC 2021 ; Conference Date: 25 August 2021 Through 26 August 2021; Conference Code:186634}, volume = {2682}, year = {2023}, doi = {10.1063/5.0114365}, journal = {AIP Conference Proceedings}, title = {Experimental Study on the Methane Adsorption Behaviour in Shale Gas Reservoir}, abstract = {Adsorption of methane plays a critical role in shale gas reservoirs. Understanding adsorption behaviour is critically important to evaluate a gas reserve and predict gas production. In shale gas, the composition of organic matter strongly affects the gas adsorption in shale. However, heterogeneous organic matter distribution leads to heterogeneous gas adsorption capacity on the shale pore surface. This paper presents the experimental study of the methane adsorption of five shale samples from the Eagle Ford Formation, United States. The methane adsorption measurements were conducted with shale gas samples using the gravimetric method. The measurements were conducted at the temperature of 77 {\^A}oC and pressure up to 30 bars. The adsorption isotherms were obtained, and analysis was performed. The adsorption capacity increased as the pressures were raised. However, the adsorption rate remained constant as the pressure was applied, implicating the samples maximum adsorption capacity. The shale samples EF 5 shows the highest adsorption capacity compared to the other shale samples. The high adsorptive capacity resulted from significant total organic carbon (TOC) and clay contents that provide high surface area for methane adsorption. In addition, this study also observed that samples with high clay compositions showed higher adsorption capacity, resulted from the internal surface area provided by the clay surface. This study also attempts to correlate the TOC and clay to the adsorption capacity through experimental results. These findings provide additional adsorption data on shales necessary for developing a predictive model for shale gas systems. {\^A}{\copyright} 2023 American Institute of Physics Inc.. All rights reserved.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148728164&doi=10.1063\%2f5.0114365&partnerID=40&md5=d571eaf6095ae1050a3c9ce57715b694}, author = {Aji, A. Q. M. and Mohshim, D. F. and Maulianda, B. and Elraeis, K. A.} }