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在煤层气田的开发过程中,气体管道的投资占总投资的比例较大,缩短管道长度可以有效降低投资成本.而在实际设计过程中,由于两点间的管道连接方式有多种,因此需要设计者有扎实的设计经验和丰富的现场知识,极大地增加了工作难度,为此不少学者提出了三维环境下的管道寻优模型.以现有的管道寻优模型为基础,以煤层气田开发的实际情况为背景,对原有的遗传算法提出了改进建议,通过模拟算例进行验证,计算结果表明:改进后的算法能够更有效地解决三维环境下煤层气管道的寻优问题.“,”Since investment for gas pipelines shares a big proportion in total investment during coalbed methane development,reducing the length of pipeline can significantly cut down the investment.In practices,the designers need to have rich experiences and knowledge with consideration to multiple ways for connecting two points of pipeline.To reduce the difficulties in practical design,many scholars have proposed the optimizing model for pipeline in three-dimensional environment.On the basis of current optimizing model for pipeline,this paper puts forward improvements of genetic algorithm in the background of coalbed methane field development.By means of case simulation,the verification results demonstrate that the improved algorithm can resolve the problem of optimizing model for coalbed methane pipeline in three-dimensional environment more effectively.