ABSTRACT
China, despite known as a leading coal country and a large coal-production country, suffers from severe gas disaster caused by complicated geological conditions. Meanwhile, china is rich in coal-bed methane (gas), however, coal-bed methane (gas), as a clean and good-quality energy, has not been reasonably developed and used yet. Every year coal mines discharge more than 1.5 billion cubic meter of gas into atmosphere, which heavily wastes the energy source and pollutes the environment. Therefore, speeding up the extraction of coal-bed methane, realizing integration of coal extraction and gas production as well as co-extraction of coal and coal-bed methane has great significance to making good use of the clean energy source, preventing and controlling coal gas disaster and protecting the atmospheric environment. To accurately master the quantity and distribution of coal-bed methane resource in the coal mining area is one of the premises for coordinated extraction of coal and coal-bed methane in the coal mining area. At present, the methods suitable for calculating the resource quantity/reserves of coal-bed methane mainly include analogy, volumetric method[1-4], etc. Volumetric method is the basic
maps of coal mine at all levels, which are formed by making good use of a great number of gas emission data, gas content data and geological exploration data revealed by coalmine construction, objectively express the rules of gas geology in coal mining area, reveal the internal relation between coal coal-mine gas and the geological factors, reflect the distribution rules[5] of coal-bed gas content, gas emission quantity, geological structure, coal-bed thickness and so on, and also can provide a lot of reliable parameters and data for computing coal-bed methane in coal mining area via volumetric method. On this basis, the calculation method of coal-bed methane resource quantity in coal mining area based on gas geological map is proposed using volumetric method as foundation and combining with compilation of gas geological map.
