摘要
海上油田开发受平台空间限制,应用多分支井开发具有明显的技术与经济优势,但是,随着分支数量的增加,准确预测多分支井产能,降低其在油田开发中的风险是非常必要的。由格林函数和源函数,应用叠加原理和镜像反映法,推导了盒状封闭油藏中任意井眼轨迹的油藏渗流模型;根据质量守恒定律和动量守恒定律建立了井筒变质量流动压降模型,并由连续性方程将油藏渗流模型与井筒变质量流动压降模型耦合求解,从而建立了任意井眼轨迹油井产能预测模型,通过该模型分析了分支井分支位置、分支角度和分支对称性对产能的影响,在此基础上对分支形态进行了优化。结果表明,增加分支与主井筒之间的夹角,能够有效降低分支与主井筒间的干扰,但当分支夹角受钻井技术限制时,增加分支长度可提高产能;分支布置在主井筒跟部,并采用非对称分布可有效提高产能。
Multilateral wells technology is a new technology after the horizontal well. The application of this technology has significant technical and economic advantages because of space limitations of offshore platform for oilfield development. But with continuously in crease of multilateral well quantity, it was very important to forecast its productivity precisely to reduce development risk of the oilfield. Basing on green's function and source function, the potential distribution of arbitrary trajectory well in box shaped closed reservoir was derived using superposition principle and mirror reflection method. The pressure drop model of variable mass flow in wellbore was de rived according to conservation of mass and momentum. And, finally the two models above are coupled according to continuity equation to form the productivity prediction model for arbitrary trajectory well. The effects of lateral location, different angles and lateral symme try on the production of multilateral wells are analyzed using this model. The numerical results indicate that the increasing the angle be tween laterals and the main wellbore can reduce the interference among them. When the angle is restricted by drilling technology, pro longing the length of each lateral can increase the productivity of the multilateral well. Laterals should be disposed in the heel section of the main wellbore with an asymmetric distribution, which is beneficial to enhancing the productivity of the multilateral well.
出处
《油气地质与采收率》
CAS
CSCD
北大核心
2013年第3期56-59,115,共4页
Petroleum Geology and Recovery Efficiency
基金
国家科技重大专项"海相碳酸盐岩油气井井筒关键技术"(2011ZX05005-006-004)
关键词
分支井
产能
预测模型
耦合模型
形态优化
multilateral well
productivity prediction
coupling model
configuration optimization
