ArticleACS omega2025
Optimization of the Gas Content Evaluation Method for Deep Coal Seams Based on Diffusion Models.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
Gas content is a critical parameter in coalbed methane (CBM) exploration and development, with the estimation of lost gas being the primary source of error when using the on-site desorption method. The complex occurrence states of deep CBM and the extended diffusion time before sealing in desorption canisters exacerbate these errors when applying traditional gas content evaluation methods to deep reservoirs. This study compares the performance of various gas diffusion and lost gas prediction models in deep CBM reservoirs. Following this, a modified method for calculating gas loss, capable of accurately describing the entire methane diffusion process, is proposed, and its superiority and applicability are evaluated compared with pressure-preserved coring. It also identifies the initiation time and key factors influencing gas loss. Key findings include: The bidisperse diffusion model provides the best fit, exhibiting the highest correlation coefficient (
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