Advanced photonic and electronic systems - WILGA 2017

WILGA annual symposium on advanced photonic and electronic systems has been organized by young scientist for young scientists since two decades. It traditionally gathers more than 350 young researchers and their tutors. Ph.D students and graduates present their recent achievements during well attended oral sessions. Wilga is a very good digest of Ph.D. works carried out at technical universities in electronics and photonics, as well as information sciences throughout Poland and some neighboring countries. Publishing patronage over Wilga keep Elektronika technical journal by SEP, IJET by PAN and Proceedings of SPIE. The latter world editorial series publishes annually more than 200 papers from Wilga. Wilga 2017 was the XL edition of this meeting. The following topical tracks were distinguished: photonics, electronics, information technologies and system research. The article is a digest of some chosen works presented during Wilga 2017 symposium. WILGA 2017 works were published in Proc. SPIE vol.10445

Hybrid Modelling and Optimisation of Oil Well Drillstrings

The failure of oil well drillstrings due to torsional and longitudinal stresses caused by stick-slip phenomena during the drilling operation causes great expense to industry. Due to the complicated and harsh drilling environment, modelling of the drillstring becomes an essential requirement in studies. Currently, this is achieved by modelling the drillstring as a torsional lumped model (which ignores the length of the drillstring) for real-time measurement and control. In this thesis, a distributed-lumped model including the effects of drillstring length was developed to represent the drillstring, and was used to simulate stick-slip vibration. The model was developed with increasing levels of detail and the resultant models were validated against typical measured signals from the published literature. The stick-slip model describes the friction model that exists between the cutting tool and the rock. Based on theoretical analysis and mathematical formulation an efficient and adaptable model was created which was then used in the application of a method of species conserving genetic algorithm (SCGA) to optimise the drilling parameters. In conclusion, it was shown that the distributed-lumped model showed improved detail in predicting the transient response and demonstrated the importance of including the drillstring length. Predicting the response of different parameters along the drillstring is now possible and this showed the significant effect of modelling the drillcollar. The model was shown to better represent real system and was therefore far more suited to use with real time measurements.Iraqi Government, Ministry of Higher Education and Scientific Research

Prediction, interpolation and extrapolation of drilling data with Deep Learning

Directional drilling is an established technology within the petroleum industry. In this traditionally conservative and risk averse environment application of artificial intelligence encounters difficulties at various stages of the process. Additionally, the unique nature of drilling data makes deployment of the off-the-shelf algorithms problematic on multiple levels. An artificial neural network with a custom architecture is explored in this dissertation; it is combining recurrent elements as well as traditional artificial neurons to fully utilize information in both the dynamic behaviour of the system, as well as data that is available in real time. This fit for purpose algorithm unlocks significant improvements to the traditional directional drilling technologies. To complement this novel architecture, research is presented that focuses on the data preparation. Methods are presented that tackle characteristic problems of the real-time drilling logs that make the incompatible data digestible for the machine learning. New algorithms were developed that allow to gauge the difference between the raw and the processed data. Simplifying the field deployment a method for on-the-job training is explored for the developed architecture, where no prior knowledge about the exact drilling system nor historical data is required. To aid the confidence in the presented methods a fit for purpose sensitivity analysis is investigated allowing to peek inside the data driven algorithm

The Third NASA Goddard Conference on Mass Storage Systems and Technologies

This report contains copies of nearly all of the technical papers and viewgraphs presented at the Goddard Conference on Mass Storage Systems and Technologies held in October 1993. The conference served as an informational exchange forum for topics primarily relating to the ingestion and management of massive amounts of data and the attendant problems involved. Discussion topics include the necessary use of computers in the solution of today's infinitely complex problems, the need for greatly increased storage densities in both optical and magnetic recording media, currently popular storage media and magnetic media storage risk factors, data archiving standards including a talk on the current status of the IEEE Storage Systems Reference Model (RM). Additional topics addressed System performance, data storage system concepts, communications technologies, data distribution systems, data compression, and error detection and correction

Молодежь и современные информационные технологии : сборник трудов XI Международной научно-практической конференции студентов, аспирантов и молодых ученых, г. Томск, 13-16 ноября 2013 г.

Сборник содержит доклады, представленные на XI Международной научно-практическую конференцию студентов, аспирантов и молодых ученых "Молодежь и современные информационные технологии", прошедшей в Томском политехническом университете на базе института Кибернетики. Материалы сбор-ника отражают доклады студентов, аспирантов и молодых ученых, принятые к обсуждению на секциях: "Микропроцессорные системы, компьютерные сети и телекоммуникации", "Математическое моделирование и компьютерный анализ данных", "Информационные и интеллектуальные системы (в прикладных областях)", "Автоматизация и управление в технических системах", "Информационные и программные системы в производстве и управлении", "Геоинформационные системы и технологии", "Компьютерные измерительные системы и метрология", "Компьютерная графика и дизайн", "Информационные технологии в машиностроении", "Информационные технологии в гуманитарных и медицинских исследованиях". Сборник предназначен для специалистов в области информационных технологий, студентов и аспирантов соответствующих специальносте