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首页> 外文会议>International Conference on Research and Education in Mathematics >A Robust Method for Determining the Optimum Horizontal Well Direction and Length for a Petroleum Field Development Using Genetic Algorithm
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A Robust Method for Determining the Optimum Horizontal Well Direction and Length for a Petroleum Field Development Using Genetic Algorithm

机译：一种使用遗传算法确定石油场发育的最佳水平阱方向和长度的鲁棒方法

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Locating a horizontal well to maximize a gas field production requires not only a right direction but also horizontal segment length. This is due to the longest segment does not necessarily give the maximum gas production, and each direction has its own optimum segment length. Currently, this problem is solved through a trial and error method. This method requires significant efforts and time to find the best location in order to provide a good reservoir model. In this study, a new construction of an optimization problem for optimizing gas production is proposed. Genetic Algorithm is applied to avoid the trial and error procedure. A set of two consecutive objective functions is constructed, i.e., one which is based on the quality of basic reservoir rock properties resulted from summing of all the grids of objective function values in a chosen direction, and the second one which is derived from a curve fitting cubic spline function of the cumulative gas production at a plateau time period with respect to the horizontal well length. This is resulted from only few runs of the conventional reservoir simulation method. In conclusion, using a newly proposed objective function we can produce much faster and reliable results compared with results obtained from the conventional trial and error reservoir simulation technique. This study yields a direction of 348°, and horizontal segment of 536.5 meter resulting in 7.06 years of plateau time with error of 1.133%. Furthermore, an economic evaluation was conducted by using the resulted gas production profiles corresponding to horizontal well directions and horizontal length obtained from the reservoir simulation.
机译：定位水平井以最大化气田生产不仅需要正确的方向，而且需要水平段长度。这是由于最长的段不一定提供最大的气体生产，并且每个方向都有其自身的最佳段长度。目前，通过试验和错误方法解决了这个问题。这种方法需要重大努力和时间来找到最佳位置，以便提供良好的水库模型。在本研究中，提出了一种新的优化问题，用于优化天然气生产。遗传算法应用于避免试验和错误过程。构造了一组两个连续的客观函数，即基于基于基本储存器岩石属性的质量，从所选方向上的所有物体函数值的总线求和产生的基础储层岩石属性的质量，以及从曲线衍生的第二个在水平井长度的平台时间段拟合累积气体产生的立方样条函数。这是由于常规储层模拟方法的少数运行。总之，使用新的拟议的客观函数，与经常试验和误差储存器仿真技术获得的结果相比，我们可以产生更快且可靠的结果。该研究产生348°的方向，536.5米的水平段，导致7.06年的高原时间，误差为1.133％。此外，通过使用对应于水平阱方向和从储存器模拟获得的水平长度的产生的气体生产曲线进行经济评估。

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