A Molecular Simulation Model for Kerogen Reconstruction and Methane Adsorption under Slickwater Exposure

This study investigates the effect of polyacrylamide (PAM), a key additive in fracturing fluids, on methane (CH<sub>4</sub>) adsorption in kerogen. An average molecular model of kerogen was constructed based on outcrop shale from the Longmaxi reservoirs in the Sichuan Basin, China. The model was established using organic elemental analysis, X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), and carbon-13 nuclear magnetic resonance (<sup>13</sup>C NMR). Molecular dynamics (MD) simulations and grand canonical Monte Carlo (GCMC) methods were employed to systematically evaluate the influence of PAM on CH<sub>4</sub> adsorption in kerogen nanopores by analyzing isothermal adsorption curves, relative concentration distributions, and adsorption heat. The reconstructed two-dimensional kerogen model has a molecular formula of C<sub>245</sub>H<sub>300</sub>N<sub>6</sub>O<sub>16</sub>S<sub>5</sub>, with a three-dimensional unit cell density of 1.106 g/cm<sup>3</sup>. Results indicate that at low pressures (<25 MPa), PAM enhances CH<sub>4</sub> adsorption by increasing adsorption affinity, whereas at high pressures (>25 MPa), it inhibits CH<sub>4</sub> adsorption by occupying pore volume and blocking adsorption sites. These findings reveal the dual role of PAM in modulating CH<sub>4</sub> adsorption across varying pressure conditions. This study provides fundamental insights into the microstructure of Longmaxi shale and offers a theoretical basis for optimizing slickwater formulations to enhance shale gas recovery.

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Publication Details

Journal
Langmuir
Published
2025-07-21
DOI
https://doi.org/10.1021/acs.langmuir.5c01635
Citations
3
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
2.59
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article

A Molecular Simulation Model for Kerogen Reconstruction and Methane Adsorption under Slickwater Exposure

Qiming Huang, Gang Wang, Zhengfu Ning, Qiang Li et al.
3 citations
Langmuir
Hydrocarbon exploration and reservoir analysis
2.59
article

A Molecular Simulation Model for Kerogen Reconstruction and Methane Adsorption under Slickwater Exposure

Qiming Huang, Gang Wang, Zhengfu Ning, Qiang Li, Jun Li, Jianhao Wang
article en
3 citations

Abstract

This study investigates the effect of polyacrylamide (PAM), a key additive in fracturing fluids, on methane (CH<sub>4</sub>) adsorption in kerogen. An average molecular model of kerogen was constructed based on outcrop shale from the Longmaxi reservoirs in the Sichuan Basin, China. The model was established using organic elemental analysis, X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), and carbon-13 nuclear magnetic resonance (<sup>13</sup>C NMR). Molecular dynamics (MD) simulations and grand canonical Monte Carlo (GCMC) methods were employed to systematically evaluate the influence of PAM on CH<sub>4</sub> adsorption in kerogen nanopores by analyzing isothermal adsorption curves, relative concentration distributions, and adsorption heat. The reconstructed two-dimensional kerogen model has a molecular formula of C<sub>245</sub>H<sub>300</sub>N<sub>6</sub>O<sub>16</sub>S<sub>5</sub>, with a three-dimensional unit cell density of 1.106 g/cm<sup>3</sup>. Results indicate that at low pressures (<25 MPa), PAM enhances CH<sub>4</sub> adsorption by increasing adsorption affinity, whereas at high pressures (>25 MPa), it inhibits CH<sub>4</sub> adsorption by occupying pore volume and blocking adsorption sites. These findings reveal the dual role of PAM in modulating CH<sub>4</sub> adsorption across varying pressure conditions. This study provides fundamental insights into the microstructure of Longmaxi shale and offers a theoretical basis for optimizing slickwater formulations to enhance shale gas recovery.

LangmuirVol. 41(29)
Ministry of Education of the People's Republic of China (CN), China University of Petroleum, Beijing (CN), Institute of Transportation and Logistic Trisakti (ID), Shandong Jiaotong University (CN), Shandong University of Science and Technology (CN)
Clean water and sanitation
Openalex Percentile: Top 10%
Hydrocarbon exploration and reservoir analysis
2.59
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