International Journal of Geology


ISSN: 1998-4499
Volume 12, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 12, 2018


Title of the Paper: Control of Nonconformities Using Quality Tools in an Aluminum Extrusion Industry

 

Authors: Fátima De Almeida, Aldina Correia, Nuno Carvalho

Pages: 6-12

Abstract: Aluminum alloys have great potential, capturing the interest of industry and researchers. The productivity, cost and quality of the extruded profiles are the main factors of industrial interest. Among the various steps of the production of aluminum from metal, a lot of scrap is generated due to the machining operations. During the aluminium extrusion, defects are largely responsible for decreasing the quality of the finished product because they lead to increased production costs, delays in delivery and increase of the scrap percentage. In this work we applied quality tools, in particular some classical Statistical Process Control tools in order to monitoring nonconformities and minimize the percentage of scrap produced in an aluminum extrusion industry.


Title of the Paper: A Robust and Sufficient Algorithm for Automatic First Arrival Picking Using Higher-Order Statistics

 

Authors: A. Guirguis, A. El-Dahshan, A. Yahia

Pages: 1-5

Abstract: A demand for a reliable automated first break times picking algorithm is incredibly growing among service petroleum companies. This is because its significance to build an accurate velocity profile through further processing stages. Several algorithms suffer from poor conditions of recorded seismic data and low Signal-noise-ratio (S/N). In this paper, a comparative study reports concerns with both second and third order statistics including the cross-correlation and bispectral correlation techniques with the aim of examining their performances of time delay estimation. Based on results, a successful picking algorithm is proposed with few picking parameters and then test on real seismic data sets. Here, we illustrate the capability of third order statistics (bispectral correlation) to cope with Gaussian noises and nonlinearity issues of real seismic data sets.