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To Improve Drilling Efficiency by Multi-objective Optimization of Operational Drilling Parameters in the Complex Geological Drilling Process

机译:通过复杂地质钻井过程中作业钻井参数的多目标优化提高钻井效率

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Operational drilling parameters optimization is necessary for increase drilling efficiency in complex geological drilling process. There are four key objectives to evaluate the drilling efficiency, including drilling cost, rate of penetration (ROP), drill bit life, and drill bit's specific energy. In this paper, we proposed a multi-objective optimization method to improve drilling efficiency in the complex geological drilling process considering all the four key objectives. Firstly, the characteristics of complex geological drilling process and optimization problems are analyzed to find the vital process parameters and problems for drilling efficiency optimization. Then, a multi-objective optimization model which combines the four key objectives is established. Finally, an improved nondominated sorting genetic algorithm (improved NSGA-II) is used to optimize the operational drilling parameters include weight on bit (WOB) and rotational speed (RS) to make drilling efficiency improved. The real case results demonstrate that our method increases the drilling efficiency in four key objectives and saves the simulation time. The proposed method provides the foundation for intelligent optimization control in complex geological drilling process.
机译:为了提高复杂地质钻探过程中的钻探效率,必须优化操作钻探参数。评估钻探效率有四个关键目标,包括钻探成本,钻速(ROP),钻头寿命和钻头比能。在本文中,我们考虑了所有四个关键目标,提出了一种多目标优化方法来提高复杂地质钻探过程中的钻探效率。首先,对复杂地质钻探过程的特点和优化问题进行了分析,找出了关键的工艺参数和优化钻探效率的问题。然后,建立了一个结合了四个关键目标的多目标优化模型。最后,使用一种改进的非支配排序遗传算法(改进的NSGA-II)来优化操作钻井参数,包括钻压(WOB)和转速(RS),以提高钻井效率。实际案例结果表明,我们的方法在四个关键目标上提高了钻井效率,并节省了模拟时间。该方法为复杂地质钻井过程的智能优化控制提供了基础。

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