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A New Multi-Objective Optimization Design Method for Directional Well Trajectory Based on Multi-Factor Constraints

Applied Sciences(2022)

CNOOC China Ltd | SINOPEC Res Inst Petr Engn Co Ltd | China Univ Petr

Cited 4|Views5
Abstract
The design of the wellbore trajectory directly affects the construction quality and efficiency of drilling. A good wellbore trajectory is conducive to guiding on-site construction, which can effectively reduce costs and increase productivity. Therefore, further optimization of the wellbore trajectory is inevitable and necessary. Based on this, aiming at the three-segment, five-segment, double-increase-profile extended reach wells, this paper considered the constraints of formation wellbore stability; formation strength; and the determination of the deviation angle, deviation point position, and target range by the work of deflecting tools. In addition, the optimization objective function of the shortest total length of the wellbore, minimum error of the second target, lowest cost, minimum friction of the lifting and lowering string, and minimum torque of rotary drilling were proposed and established. The objective function of the longest extension limit of the horizontal section of the extended reach well is established. Taking the 14-8 block of the Lufeng Oilfield in the eastern South China Sea as an example, the actual data of the field were modeled, and the independence of the objective function was verified by comparing the number of non-inferior solutions of the two objective functions. By normalizing simplified to double-, three-, and four-objective functions, using a genetic algorithm and particle swarm optimization results, it can be found that the new method of optimization design established in this paper has an obvious optimization effect compared with the original design.
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Key words
directional well,well trajectory design,multi-objective optimization,friction,torque
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要点】:本文提出了一种基于多因素约束的定向井轨迹多目标优化设计新方法,旨在缩短井筒总长、最小化第二个目标点误差、降低成本、减小起升和下放钻具的摩擦以及减少旋转钻井的扭矩,同时建立了一种延长水平段的最大延伸限制目标。

方法】:通过构建包含井筒稳定性、地层强度、转向工具工作确定的偏角、偏点位置和目标范围的约束条件,以及优化目标函数,包括井筒总长的最短化、第二个目标点误差的最小化、成本的最小化、起升和下放钻具摩擦的最小化以及旋转钻井扭矩的最小化。

实验】:以南海东部陆丰油田14-8区块为例,使用实际数据建模,并通过比较两个目标函数的非劣解数量来验证目标函数的独立性。将优化目标规范简化为双目标、三目标和四目标函数,应用遗传算法和粒子群优化得到的结果表明,与原始设计相比,本文建立的新优化设计方法具有明显的优化效果。