Design Approach About The Drilling Platform Of Cluster Wells

Cluster horizontal well with the advantages of less investment,quick effect,andconvenient for unified management,is widely used especially in offshore platforms,and is aneffective means to improve oil recovery and increase economic efficiency.Drilling platformprogramming is one of the top issue facing the large-scale cluster Wells platform technology.Drilling platform programming with large computational workload is very complicated andthe reasonableness of the program will directly affects the investment costs of tehentireblock.In this paper,a comprehensive analysis of the advantages and disadvantages ofannealing, genetic algorithm and ant colony algorithm in intelligent optimization algorithmsis conducted,and optimized quality,speed of convergence and application scope of eachalgorithm is analyzed.Using genetic algorithms to search strategy overall and optimize thesearch methods does not rely on the planning and design of the membership issue betweenthe characteristics of its gradient information and platform location, quantity andtargeting.The influence of the parameters such as stimulating factor and populationinformation in ant colony algorithm on the mode is studied,This paper chooses the bestparameter information, lays the road network,uses the minimum horizontal displacementsum of the wellhead-targets as the objective function and uses the ant colony algorithm modelwith the punishment function to solve the well-target assignment problem.For ease of calculation, using the c#language editing program to planne platformparameters within the planning scope and wellhead-target assignment problem.Finally,comp-ared with the Horizontal displacement of cluster wells and effectively reducing the totalhorizontal displacement,not only improving the drilling efficiency,reduce drilling cost,andgreatly reduced the workload,improve work efficiency.