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Improving drilling performance through optimizing controllable drilling parameters

机译:通过优化可控钻孔参数来提高钻井性能

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The prediction of the drilling rate of penetration (ROP) is one of the key aspects of drilling optimization due to its significant role in reducing expensive drilling costs. Many variables could affect ROP, which can be classified into two general categories; controllable operational variables and uncontrollable or environmental variables. Minimizing the drilling cost can be achieved through optimizing the controllable drilling parameters. As a direct result, the drilling speed will be increased while maintaining safe practices. The primary purpose of this study is to address the simultaneous impact of controllable parameters such as weight on bit (WOB), revolutions per minute, and flow rate (FR) on the rate of penetration (ROP). Response surface methodology was applied to develop a mathematical relation between operational controllable drilling parameters and ROP. To accomplish this, actual field datasets from several wells drilled in Southern Iraq in different fields were used. The second purpose of this study was to identify all prospective optimal ranges of these controllable parameters to obtain superior drilling performance with an optimum ROP. The obtained results showed that the developed model offers a cost-effective tool for determining the maximum ROP as a function of controllable parameters with reasonable accuracy. In addition, the proposed model was used to estimate optimal combinations of controllable drilling parameters for various depths. The results have shown that FR has the most significant effect on ROP variation with a sum of squares values of 23.47. Applying high WOB does not permanently improve ROP but could result in reducing ROP for some cases. The developed mechanical specific energy model for polycrystalline diamond compact (PDC) bit with vertical and deviated wells can estimate combinations of controllable drilling parameters. The developed model can be successfully applied to predict and optimize the drilling rate when using PDC bits, hence reducing the drilling time and the associated drilling cost for future wells.
机译:由于其在减少昂贵的钻井成本方面的显着作用,对钻孔渗透速度(ROP)的预测是钻井优化的关键方面之一。许多变量可能会影响ROP,可以分为两个一般类别;可控操作变量和无法控制或环境变量。通过优化可控钻孔参数,可以最小化钻井成本。作为直接结果,在保持安全实践的同时将增加钻井速度。本研究的主要目的是解决可控参数(如钻头(WOB),转数,每分钟转数和流速(FR)的同时影响,以渗透率(ROP)。应用响应面方法应用于开发操作可控钻井参数与ROP之间的数学关系。为实现这一目标,使用了在伊拉克南部的几个井中钻取不同领域的实际实际数据集。本研究的第二个目的是识别这些可控参数的所有前瞻性最佳范围,以获得具有最佳ROP的优越的钻井性能。所获得的结果表明,开发的模型提供了一种具有成本效益的工具,用于以合理的准确度确定可控参数的最大ROP。此外,所提出的模型用于估计各种深度的可控钻井参数的最佳组合。结果表明,FR对ROP变化具有最显着的影响,方块值为23.47。应用高蛇不会永久性改善ROP,但可能导致一些情况下减少ROP。具有垂直和偏离井的多晶金刚石芯片(PDC)位的开发的机械特定能量模型可以估算可控钻孔参数的组合。可以成功地应用开发的模型以在使用PDC比特时预测和优化钻井率,因此降低了未来井的钻井时间和相关的钻井成本。

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