摘要
为了对深水钻井钻井液举升系统进行有效优化,本文根据遗传算法中求函数最大值优化问题建立有针对性的数学规划模型,以钻杆和返排管线不发生碰撞时返排管线底部位置和水下井口间的距离最小为最优化目标,以返排管线定位位置、顶部张力、返排管线的外径、返排管线壁厚为求解集合,并根据数学模型建立锚泊定位的遗传算法模型,确定了返排管线的顶部张力、返排管线的外径、返排管线的壁厚作为遗传算法的个体基因,并采用排名法即适应度的排名次序从未得到评判个体的最优解。最后采用该模型对1500 m水深的某低温钻井作业的无隔水管锚泊定位实例方案进行优化验证,在随机产生的10个个体中,确定个体7为最佳方案,得出个体7的水下井口间的距离302 m为最优定位距离。研究结果表明,本文提出的遗传算法可用于优化钻井液返排回流海底锚泊定位模型,该方法可使计算成本大幅减少,但在求解过程中要注意个体基因、遗传机理、最优化函数以及约束条件的合理运用。
In order to effectively optimize the deepwater drilling fluid lifting system,this paper establishes a targeted mathematical programming model according to the optimization problem of finding the maximum of a function in genetic algorithm.The minimum distance between the bottom position of the reverse pipeline and the underwater wellhead when the drill pipe and the reverse pipeline do not collide is taken as the optimization objective,and the locating position,top tension,outer diameter and wall thickness of the reverse drainage pipeline are taken as the set of solutions.According to the mathematical model,the genetic algorithm model of anchoring location is established.The top tension,the outer diameter and the wall thickness of the reverse drainage pipeline are determined as individual genes of the genetic algorithm.The ranking method,that is,the ranking order of fitness,is used to evaluate the individual optimal solution.Finally,the model is used to optimize the riser free anchoring positioning scheme of a low temperature drilling operation at 1500 m water depth.Among 10 randomly generated individuals,individual 7 is the best scheme,and the distance 302 m between underwater wellheads of individual 7 is the optimal positioning distance.The results show that the genetic algorithm can be used to optimize the MRL seafloor mooring positioning model.In the process of solving,attention should be paid to the rational use of individual genes,genetic mechanism,optimization function and constraints.
作者
王磊
张辉
柯珂
邓嵩
WANG Lei;ZHANG Hui;KE Ke;DENG Song(Sinopec Petroleum Engineering Technology Research Institute,Beijing 102206,China;Petroleum Engineering College of Changzhou University,Changzhou,Jiangsu 213164,China)
出处
《中国海上油气》
CAS
CSCD
北大核心
2022年第6期142-148,共7页
China Offshore Oil and Gas
基金
国家重点研发计划项目“极地油气钻井关键技术与装备(编号:2022YFC28064001)”部分研究成果。
