Ying Qin, Shuangli Yue, Donghui Xu, Mingli Yang, Li Zhang
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Formation pathways of hydrogen polysulfides in sulfur-bearing natural gas reservoirs from density functional theory calculations
Context
The interaction mechanisms between a sulfur atom (S) and hydrogen sulfide (H2S), as well as the formation and stability of H2Sn (n = 2–9), are fundamental to understanding sulfur chemistry in natural gas reservoirs. Despite their importance, the abiogenic origins and reaction pathways of H2Sn in natural gas fields remain inadequately understood. Clarifying these mechanisms is essential for addressing sulfur deposition challenges, which have direct implications for extraction efficiency, operational safety, and reservoir management.
Methods
This study utilized quantum chemistry calculations to systematically investigate the reaction mechanisms between sulfur atoms and hydrogen sulfide, with a particular focus on the formation of H2Sn. Transition state (TS) searches were conducted to identify energetically favorable reaction pathways, and intrinsic reaction coordinate (IRC) analyses were performed to validate the reaction trajectories. The kinetics and thermodynamics of H2S2 formation from elemental sulfur and H2S were comprehensively evaluated. Additionally, stability analyses were carried out to assess the relative stability of H2Sn under varying reservoir conditions, offering insights into their decomposition tendencies and subsequent formation of H2S and elemental sulfur (S8).
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.