Klinkenberg permeability is an important parameter in tight gas reservoirs. There are conventional methods for determining it, but these methods depend on core permeability. Cores are few in number, but well logs are usually accessible for all wells and provide continuous information. In this regard, regression methods have been used to achieve reliable relations between log readings and Klinke...

This paper considers a bi-objective model for a scheduling problem of unrelated parallel batch processing machines to minimize the makespan and maximum tardiness, simultaneously. Each job has a specific size and the data corresponding to its ready time, due date and processing time-dependent machine are uncertain and determined by trapezoidal fuzzy numbers. Each machine has a specific capacity,...

A new structure of linear transverse flux machine (TFM) is presented in this paper. It is in fact a variable reluctance linear machine having permanent magnets on the mover. Its structure and its working principle will be discussed. After a preliminary design of the motor a 3D FEM analysis was carried out before optimizing the designed linear motor. The flux densities in the machine and the sta...

Log-linear models represent nowadays the state-of-the-art in statistical machine translation. There, several models are combined altogether into a whole statistical approach. Finite-state transducers constitute a special type of statistical translation model whose interest has been proved in different translation tasks. The goal of this work is to introduce a finite-state framework for a log-li...

The linear coefficient in a partially model with confounding variables can be estimated using double machine learning (DML). However, this DML estimator has two-stage least squares (TSLS) interpretation and may produce overly wide confidence intervals. To address issue, we propose regularization selection scheme, regsDML, which leads to narrower It selects either the TSLS or regularization-only...