The paper explores the technogenic reservoirs of mine methane and their management under circular waste concepts. The authors focus on estimating the resources of mine methane and improving its recovery through circular waste management. They introduce a novel approach to reconstructing the response space for methane release dynamics, considering both time and spatial projections. The study uses data from a specific coal mine in Donetsk, Ukraine, to model the distribution of methane concentrations in the mined-out space and the impact of longwall mining on methane dynamics. The results show that reducing the distance from the start of the panel to the wellheads can significantly increase methane concentrations, leading to potential emissions of over 660,000 m³ in 15 days if the degasification network fails. The authors propose a method to quantify gas losses due to network failures and suggest that their technique can also be applied to predict hydrocarbon vapor capture and model bitumen-oil mixtures. The research highlights the importance of improving underground degassing efficiency to mitigate climate change and enhance resource recovery.The paper explores the technogenic reservoirs of mine methane and their management under circular waste concepts. The authors focus on estimating the resources of mine methane and improving its recovery through circular waste management. They introduce a novel approach to reconstructing the response space for methane release dynamics, considering both time and spatial projections. The study uses data from a specific coal mine in Donetsk, Ukraine, to model the distribution of methane concentrations in the mined-out space and the impact of longwall mining on methane dynamics. The results show that reducing the distance from the start of the panel to the wellheads can significantly increase methane concentrations, leading to potential emissions of over 660,000 m³ in 15 days if the degasification network fails. The authors propose a method to quantify gas losses due to network failures and suggest that their technique can also be applied to predict hydrocarbon vapor capture and model bitumen-oil mixtures. The research highlights the importance of improving underground degassing efficiency to mitigate climate change and enhance resource recovery.