Complicated well hole track optimization method based on fast self-adaption quantum genetic algorithm

Abstract

The invention provides a complicated well hole track optimization method based on a fast self-adaption quantum genetic algorithm. The method comprises the following steps that through the analysis of an Fibonacci number sequence, the condition that the number sequence has a negative index characteristic is discovered, and the characteristic is introduced into a quantum rotation gate rotating angle step length updating strategy, wherein the space complexity of the algorithm is not increased, the time complexity of the algorithm is lowered, the algorithm efficiency is greatly improved, and the operation time of the algorithm is shortened; secondly, any one quantum position is enabled to be in one-to-one correspondence to points on a Bloch ball surface, so that the ergodicity of a solution is improved; finally, by aiming at a multi-target complicated three-dimensional well hole track optimization problem, under constraint conditions of each well section, casing pipe length and target vertical well depth, the FAQGA optimization is used for practically measuring the well depth TMD; a well body, a well inclined angle, a well inclination azimuth angle and well section curvature parameters are optimized, thus realizing the precise and efficient well hole track optimization.

Description

technical field [0001] The invention relates to the field of advanced intelligent optimization algorithms, in particular to a method for optimizing complex borehole trajectories based on fast self-adaptive quantum genetic algorithms. Background technique [0002] With the continuous improvement of oil and gas field development technology, the types of complex wellbore trajectories such as directional wells, ultra-deep wells, horizontal wells, extended-reach wells, sidetracking wells, lateral wells, and multi-target wells are increasing day by day. Quantity growth. Scientific wellbore trajectory design is one of the key technologies in drilling engineering. [0003] In the wellbore trajectory optimization, there are mainly two stages: one is to convert the three-dimensional wellbore trajectory optimization problem into a two-dimensional optimization problem on the plane, and use the optimization method to realize the optimization of the two-dimensional wellbore trajectory; t...

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Problems solved by technology

[0004] In view of the characteristics of many independent variables and complex constraints in the complex three-dimensional wellbore trajectory optimization problem, in order to improve the accuracy and optimization speed of the complex wellbore trajectory optimization results with multiple targets and multiple well sections, and overcome the problem of poor real-time performance of existing algorithms , the object of the present invention is to provide a complex wellbore trajectory optimization method based on the Fast Adaptive Quantum Genetic Algorithm (FAQGA)

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