The purpose of this study is to investigate morphology simultaneously propagating hydraulic fractures. Simultaneous propagation fractures occurs during stimulation horizontal wells, and, in particular, several initiation points or perforation intervals along the well are often used promote growth multiple at same time. Numerical simulations demonstrate that there situations, which stress intera...

We demonstrate a numerical technique that can evaluate the core-to-core variations in propagation constant in multicore fiber. Using a Markov Chain Monte Carlo process, we replicate the interference patterns of light that has coupled between the cores during propagation. We describe the algorithm and verify its operation by successfully reconstructing target propagation constants in a fictional...

diffusivity equation commonly used for pressure distribution prediction in porous media results from substituting equation of state and continuity equation in navier-stokes momentum equation. from mathematical point of view this equation format shows infinite propagation speed for pressure pulse through porous media, which is physically impossible. this issue may caused by numerous assumptions ...

Fracture surface of Zircaloy-2 specimens tested under constant crosshead speed in CH3OH/0.4 Vol. %HCI solution with and without selenium (25 ppm) addition was studied. Using a combined process of deformation and annealing, coarse grained material was also obtained and examined. Two modes of stress corrosion crack propagation were observed: an intergranular zone caused by stress assisted anodic ...

This paper concerns interprocedural dataaow-analysis problems in which the dataaow information at a program point is represented by an environment (i.e., a mapping from symbols to values), and the eeect of a program operation is represented by a distributive environment transformer. We present an eecient dynamic-programming algorithm that produces precise solutions. The method is applied to sol...

Various artificial neural networks types are examined and compared for the prediction of surface roughness in manufacturing technology. The aim of the study is to evaluate different kinds of neural networks and observe their performance and applicability on the same problem. More specifically, feed-forward artificial neural networks are trained with three different back propagation algorithms, ...