岩性油气藏 ›› 2020, Vol. 32 ›› Issue (6): 164171.doi: 10.12108/yxyqc.20200616
刘明明1, 王全2, 马收1, 田中政1, 丛颜1
LIU Mingming1, WANG Quan2, MA Shou1, TIAN Zhongzheng1, CONG Yan1
摘要: 井位的部署直接关系到煤层气开发的采气速度及经济效益。基于粒子群算法的劣势和模拟退火算法的优势,提出了一种混合粒子群算法,其以净现值为目标函数,单井控制面积和井位为变量,结合油藏数值模拟方法,优选出净现值最大的单井控制面积和井位,并利用matlab编程来实现。结果显示,基于混合粒子群算法的井位优化方法能够快速确定最优井位,计算量较穷举法大幅度降低;沁水盆地煤层气田的最优单井控制面积为0.2 km2;对于最优单井控制面积,混合粒子群算法得到的最优净现值比常规矩形井网的净现值增加12.55%;最优井位分布与含气量、渗透率密切相关,其中渗透率的影响尤为重要,最优井位是含气量与渗透率的最优组合。该研究成果为煤层气开发井位优化提供了新方法。
中图分类号:
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