Numerical Methods for Optimization of the Horizontal Directional Drilling (HDD) Well Path Trajectory

A COMPARISON OF PERFORMANCE OF SEVERAL ARTIFICIAL INTELLIGENCE METHODS FOR ESTIMATION OF REQUIRED ROTATIONAL TORQUE TO OPERATE HORIZONTAL DIRECTIONAL DRILLING

Horizontal Directional Drilling (HDD) is extensively used in geothechnical engineering. In a variety of conditions it is essential to predict the torque required for performing the reaming operation. Nevertheless, there is presently not a convenient method to accomplish this task. To overcome this problem, in this research, the application of computational intelligence methods for data analysis...

A Survey of Numerical Methods for Trajectory Optimization

the algorithm for solving the inverse numerical range problem

برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.

An Optimization Algorithm for the Layout of Well Drilling

The author designs a genetic algorithm for the layout of well drilling based on partial order relations and establishes a mathematical model for the algorithm. Based on this, ideal results are obtained. The results of numerical experiments show that the algorithm is highly precise and runs at a rapid speed.

Optimization of Dogleg Severity in Directional Drilling Oil Wells Using Particle Swarm Algorithm (Short Communication)

The dogleg severity is one of the most important parameters in directional drilling. Improvement of these indicators actually means choosing the best conditions for the directional drilling in order to reach the target point. Selection of high levels of the dogleg severity actually means minimizing well trajectory, but on the other hand, increases fatigue in drill string, increases torque and d...