Shale Asphaltene Nanostructure and Gas Preservation: A Molecular-Level Structure–Function Relationship and Predictive Modeling

The molecular structure of shale asphaltenes plays a crucial role in gas adsorption and preservation. This study integrates multitechnique characterization (SEM, X-ray diffraction (XRD), Fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), UV, NMR, gel permeation chromatography (GPC)) with molecular simulations to elucidate the structure–function relationship between asphaltene nanostructure and shale gas retention. The constructed molecular models were rigorously validated against experimental density, XRD interlayer spacing, and NMR aromaticity before the simulation. We identified asphaltenes with high aromaticity, moderate aliphatic content, and limited polar functional groups (notably sulfones) that exhibit enhanced methane adsorption. This is primarily governed by optimized van der Waals (vdW) interactions and favorable nanopore connectivity. Key molecular parameters─interaction energy, cohesive energy density (CED), and free volume fraction─were incorporated into a novel quantitative predictive model for shale gas content (Y′ = −0.235Z1 – 0.198Z2 + 0.127Z3 + 0.342Z4 – 0.186Z5). The model demonstrates excellent predictive capability (R2 = 0.96, RMSE = 0.12 m3/t). Furthermore, we introduced a nanostructure complexity index (NCI), integrating aromatic stacking, heteroatom distribution, and pore connectivity, which shows a strong positive correlation with the gas content (r = 0.89). The novelty of this work lies in establishing a microstructure-based predictive framework that moves beyond traditional bulk parameters like TOC, providing a molecular-level tool for assessing shale gas preservation potential based on core-derived asphaltene properties.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2026-05-08
DOI
https://doi.org/10.1021/acsomega.5c13001
Primary Topic
Petroleum Processing and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shale Asphaltene Nanostructure and Gas Preservation: A Molecular-Level Structure–Function Relationship and Predictive Modeling

Shang Gao, Yongmin Peng, Peng Qi, Jie Yang et al.
ACS Omega
Petroleum Processing and Analysis
article

Shale Asphaltene Nanostructure and Gas Preservation: A Molecular-Level Structure–Function Relationship and Predictive Modeling

Shang Gao, Yongmin Peng, Peng Qi, Jie Yang, Peiqing Yuan, Shuzhen Li, Dongjun Feng, Chenchen Deng, Lei Wang
article en

Abstract

The molecular structure of shale asphaltenes plays a crucial role in gas adsorption and preservation. This study integrates multitechnique characterization (SEM, X-ray diffraction (XRD), Fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), UV, NMR, gel permeation chromatography (GPC)) with molecular simulations to elucidate the structure–function relationship between asphaltene nanostructure and shale gas retention. The constructed molecular models were rigorously validated against experimental density, XRD interlayer spacing, and NMR aromaticity before the simulation. We identified asphaltenes with high aromaticity, moderate aliphatic content, and limited polar functional groups (notably sulfones) that exhibit enhanced methane adsorption. This is primarily governed by optimized van der Waals (vdW) interactions and favorable nanopore connectivity. Key molecular parameters─interaction energy, cohesive energy density (CED), and free volume fraction─were incorporated into a novel quantitative predictive model for shale gas content (Y′ = −0.235Z1 – 0.198Z2 + 0.127Z3 + 0.342Z4 – 0.186Z5). The model demonstrates excellent predictive capability (R2 = 0.96, RMSE = 0.12 m3/t). Furthermore, we introduced a nanostructure complexity index (NCI), integrating aromatic stacking, heteroatom distribution, and pore connectivity, which shows a strong positive correlation with the gas content (r = 0.89). The novelty of this work lies in establishing a microstructure-based predictive framework that moves beyond traditional bulk parameters like TOC, providing a molecular-level tool for assessing shale gas preservation potential based on core-derived asphaltene properties.

ACS Omega
Sinopec (China) (CN), East China University of Science and Technology (CN), Shanghai Institute of Technology (CN)
National Natural Science Foundation of China, China National Petroleum Corporation
Openalex Percentile: Top 8%
Petroleum Processing and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.