Patent AU-2020103709-A4 (AU)
Title: A modified particle swarm intelligent optimization method for solving high-dimensional optimization problems of large oil and gas production systems
Inventor: LIU YANG
IPC: G06F30/25
Filed: 2020-11-26
Granted: 2021-02-11
Abstract: The invention relates to the technical field of cross design of energy conservation, 
consumption reduction, capital reduction, efficiency improvement and intelligent 
calculation of an oil and gas production system, in particular to an modified particle 
swarm intelligent optimization method for solving high-dimensional optimization 
problems of large oil and gas production systems. The specific technical scheme is as 
follows: an modified particle swarm intelligent optimization method for solving high
dimensional optimization problems of large oil and gas production systems, which 
according to the solution principle of standard particle swarm algorithm, the high
dimensional optimum problem solution mode and the obvious characteristic that 
information differentiation among multi-variables, provides three improved operators 
and corresponding optimization solution processes of the adaptive Cauchy disturbance 
operator, the leaming-type Gaussian mutation operator and the adjustment operator by 
probability, in order to solve the problems that the standard particle swarm algorithm is 
easy to fall into local optimum, low in convergence speed and poor in robustness when 
comes to solve the high-dimensional optimization problem, so as to meet the technical 
urgent need of optimization design of complex large-scale oil and gas production 
systems.
-1/3
By applying the feasibility criterion, the optimization model of 
the large-scale oil and gas production system is disposed.  
Initializing the parameters of population size, the termination 
condition, the basic parameters of PSO algorithm, and the basic 
parameters ofmodified onerators.  
Generating the initial particle population of large-scale oil and gas 
production system, determining the optimal particle and the 
history optimal particle ofthe initial particle population 
Updating the speed and locationofallthe 
particles 
Yes Are the constraints 
satisfied? 
No 
Adjusting the speed and the 
Position of articles 
Calculating the fitness value, updating the 
current optimalrtileaccle and the historical 
optimal particle 
Whether to Optimal scheme for the 
terminate? yes u e large-scale oil and gas 
< 
production system 
O 
Calculating the Cauchy distribution position control parameter according to the 
formula (1), generating the disturbance offsets according to the formula (2), 
updating the current optimal particle according to the formula (3) 
Arranging the fitness values of the particles in a descending order, 
randomly select some particles with low fitness values to perform 
Gaussian mutation operator according to the formula (4) and (5) 
According to formulas (6), (7) and (8), respectively, calculating the weight control 
factor, the particle adjustment control value and the density measurement factor, 
judging whether the adjustment probability is smaller than a random number by 
adopting the formula (9), if so, adjusting particles according to the formula (10) 
Calculating the fitness value, updating the 
current global optimal particle and the 
historical optimal particle 
Figure 1