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Texas Panhandle Granite Wash Formation: Horizontal Development Solutions

机译:德克萨斯泛城花岗岩洗涤形成:水平开发解决方案

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The Granite Wash formation in the Texas Panhandle is an active horizontal drilling trend where high initial gas rates combined with rich condensate yields create a rewarding investment opportunity for operators. The Granite Wash formation has been a drilling target for over 30 years but development accelerated rapidly after November 2004 when 20-acre downspacing was approved in the Buffalo Wallow field. In the years 2004-2008, vertical infill development was actively pursued with operators using an “assembly line” methodology that concentrated on cost reduction to achieve economic success. When soft gas prices made vertical wells economically challenging, operators turned to horizontal wells to improve the trend’s economics. Previous papers [Edwards (2010), Ingram (2006)] have explored optimizing completion technology in the Granite Wash so this paper’s objective is to find solutions to questions about initial production, rate decline, and liquid yields by examining the reservoir and fluid properties. The paper uses techniques developed for generalized tight gas sand reservoirs and applies Granite Wash formation data to create focused solutions. The data presented show the horizontal wells’ high initial rates can be correlated to the offset vertical well performance and the initial production declines are defined by linear flow. In addition, a technique for optimizing the number of completion stages is presented and the condensate yields are explained using an Equation of State (EoS).
机译:Texas Panhandle的花岗岩洗涤形成是一种主动钻井趋势,高初始气体速率与富浓缩液收益率相结合,为运营商创造了一个有益的投资机会。花岗岩洗涤形成已超过30年的钻井目标,但2004年11月在水牛瓦洛领域批准的20英亩的下划线后,发展迅速发展。在2004 - 2008年的2004 - 2008年中,使用“装配线”方法与运营商积极追求垂直填充开发,专注于降低成本以实现经济成功。当软质天然气价格取得垂直井的经济上挑战时,运营商转向水平井以改善趋势的经济学。之前的论文[Edwards(2010),Ingram(2006)]探讨了花岗岩洗涤中的优化完成技术,因此本文的目的是通过检查储层和流体性能来寻找有关初始生产,速率下降和液体产量的问题的解决方案。本文采用了为广义狭长气体砂储层开发的技术,并将花岗岩洗涤形成数据应用以创建聚焦的解决方案。所提出的数据显示水平井的高初始速率可以与偏移垂直井性能相关,并且初始生产下降由线性流定义。另外,提出了一种用于优化完成阶段的数量的技术,并且使用状态方程(EOS)解释冷凝产率。

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