煤层瓦斯含气量预测.doc

专题讲演 煤层气含气量预测方法 学生姓名：专业班级：12-2 学号：201160215 指导教师：：综合成绩： 辽宁工程技术大学  煤层含气量预测方法 为了提高煤层含气量预测效果，更准确地评价煤层气资源量、预测煤层气开发前景，以及制定合理的开发方案，基于大量文献调研，首先梳理了煤层气及煤层含气量的概念、影响因素，其次对煤层含气量预测方法的特点进行了比较分析，进而开展了煤层含气量预测方法发展趋势分析研究表明，煤层含气量的影响因素主要包括煤的变质程度、温度、压力、煤质、煤层有效埋藏深度、储层有效厚度、储层物性等，其中，煤变质程度起着根本性作用煤层含气量定量预测方法主要有等温吸附曲线法、含气量梯度法、测井法、地震法等合理选择煤层含气量预测方法，开展多学科、多种预测方法综合预测含气量研究、研发新的煤层含气量预测方法是煤层含气量预测的主要发展趋势。 关键词：；含气量；影响因素；预测方法 Prediction method of gas content in coal seam ABSTRACT In order to improve the prediction of coalbed gas content, a more accurate evaluation of coalbed gas resource, prediction of coalbed methane development prospects, and formulate a reasonable development plan, based on extensive literature research, firstly reviews the concept and factors of coal-bed gas and coal seam gas content, followed by the characteristics of coal seam gas content prediction methods are compared and analyzed then, carry out the analysis of coalbed gas content prediction methods of the development trend of research shows that the influence factors of coal seam gas content mainly includes the metamorphic degree of coal, temperature, pressure, coal and coal seam buried depth, reservoir thickness, reservoir property, the degree of coal metamorphism plays a fundamental role in prediction of coalbed the main gas quantitative selection of isothermal adsorption curve method, gradient method, gas logging, seismic method of coal seam gas content prediction method, carry out Multi discipline, multi prediction methods comprehensive prediction of gas content research, research and development of new coal bed gas content prediction method is the main development trend of coal seam gas content prediction. Keywords：coalbed gas；Gas content；Influence factor；Prediction method  目录 1煤层含气量的概念及影响因素 1.1煤层气含气量的概念 1.2煤层气含气量的影响因素2煤层含气量预测方法 2.1等温吸附曲线法 5 2 2.3钻孔岩芯实测含气量法 5 回归分析法 2 2.4.2多因素线性回归法 2.4.3复合参数回归法 2.5含气饱和度法 2 2.6利用矿井瓦斯涌出量预测含气量 5 2.7地温和地应力法 2 2.8利用煤层气层背景值求含气量 5 2.9地震预测法 2 2.10现代数学法 5 2.10.1神经网络技术 2.10.2灰色关联分析技术 2.10.3支持向量