GSA Connects 2021 in Portland, Oregon

Paper No. 135-1
Presentation Time: 8:05 AM


XIONG, Fengyang1, ROTHER, Gernot2, GONG, Yiwen3, MOORTGAT, Joachim4 and RADONJIC, Mileva1, (1)School of Chemical Engineering, Oklahoma State University, 420 Engineering North, #140, Stillwater, OK 74078, (2)Chemical Sciences Division, Oak Ridge National Laboratory, P.O. Box 2008, 1 Bethel Valley, Oak Ridge, TN 37831-6110, (3)SimTech LLC, Katy, TX 77494, (4)School of Earth Sciences, College of Arts and Sciences, 125 South Oval Mall, COLUMBUS, OH 43210

Adsorption is significant in subsurface geochemistry, especially for nano-porous organic-rich shales. In the shale gas-in-place, adsorbed gas could contribute up to 85%. However, adsorption is hard to quantitatively characterize due to different adsorption mechanisms, patterns, surfaces, and pore sizes. Further, key thermodynamic parameters, such as the enthalpy of adsorption, are challenging to determine due to uncertainties in adsorbed gas densities used in constructing absolute isotherms. In this work, we revisit the Brunauer, Emmett, and Teller (BET) model, analytically simplify Ono-Kondo (OK) models for subsurface shales, and compare commonly used mono- and multilayer adsorption models (e.g., Langmuir, supercritical Dubinin-Radushkevich (SDR), supercritical BET (SBET), and simplified OK (OKs) models) with recently proposed pressure-dependent adsorption densities to develop a practical and reliable methodology that can be used in the supercritical state, typical for subsurface black shale conditions.

Three independent data sets were utilized for nitrogen and methane adsorption isotherms at different temperatures. We demonstrate that adsorption predicted by the SDR model is comparable or lower than that predicted by the SBET model, but higher than the amounts predicted by Langmuir and OK models. The nitrogen BET method tends to underestimate the accessible SSA for methane. Measurement of isosteric heat of adsorption is suggested instead of the experimental fitting method, due to the significant difference between the calculated results by two commonly used methods. Experimental fitting and simulation methods are also briefly reviewed to guide future research on shale gas adsorption.

This work improves prediction of subsurface natural gas adsorption under supercritical conditions and assessment of shale gas-in-place for decision of production strategy in petroleum industry.