PPT-Innovations in borehole image data acquisition and processing

Timo korth Advanced Logic technology sa ASEg 2015 Motivation 100 slim hole ATV OTV tools released to the market every year Several hundred kilometers of image logs are acquired yearly in the mining industry alone. BOREHOLE DRILLING ACTIVITIES IN NIGERIA. EVOLUTION OF BOREHOLE DRILLING ACTIVITIES. Availability of water still far below demand. Majority of big water schemes are surface water or ground water based. &. . Standardisation. Ajay . Ranjan. . Mishra. *, Prof . Jaideep. . Prahbu. **. *Chairman, FG Innovations, ITU. **Head of Marketing, JBS, Cambridge . Univ. , UK. ITU Workshop on . “ICT Innovations in Emerging Countries. Key to Solutions – Tara Innovations. About Tara Innovations. Tara Innovations LLC is a pharmaceutical CRO, strategy consultant, drug development service . provider, and regulatory affairs documentation expert.. in Bridge Components. . . Bengal Club, November 17. th. , 2009 . . Technical . Innovations - . Bridge . Components. INNOVATIONS. Destruction of Structures. Kobe Earthquake, Japan, 1995. . BOREHOLE DRILLING ACTIVITIES IN NIGERIA. EVOLUTION OF BOREHOLE DRILLING ACTIVITIES. Availability of water still far below demand. Majority of big water schemes are surface water or ground water based. Charles R. . Berg, . ResDip. Systems, and Andrew C. Newson, Moose Oils, Inc.. Topics Covered. What is True Stratigraphic Thickness (TST. )?. TST . logs and forward . modeling, pilot . versus. . template. 1. Image. Rich info. from visual data. Examples of images around us. natural photographic images; . . artistic and engineering drawings. scientific images (satellite, medical, etc.). “Motion pictures” => video. Jarrett D. . Egertson. , Ph.D.. MacCoss Lab. Department of Genome Sciences. University of Washington. 6/8/2013. Acquisition Methods. Targeted. Discovery. Data Dependent Acquisition (DDA). Peptide . Identification. Mohammadhossein . Behgam. Agenda. Need for parallelism. Challenges. Image processing algorithms. Data handling & Load Balancing. Communication cost & performance. What is the problem?. Image Processing applications can be very computationally demanding due to:. the role of trade and investment. . Michiko ENOMOTO . Economic. Cooperation and . Integration. . Division. /UNECE . Geneva, 31 . May. . 2013. Why do we promote innovation? . Economic crisis. Environmental challenges . Divya Spandana . Marneni. Agenda. What is Big Data. Big Data and image processing. Why to analyze big images. Complexity involved in processing. Hadoop Image processing framework. Image Retrieval in big data. Action. March 12, 2019. Grand Hyatt DC. ACQUISITION EXCELLENCE. Acquisition Innovation in . Action. Challenge-Based Acquisition and . Incentive . Prize Competitions. March 12, 2019. Grand Hyatt DC. Igniting Innovation Through Challenges . editorjiteorgOur Roots JITEs Innovations in Practice began as a section of2008 with just five articles Now it is being published as a separate volume for the first time This years articles cover suc Recognition Vol.7, No. 2 (2014), pp. 3 89 - 3 9 8 http://dx.d oi.org/10.14257/ijsip.2014.7. 2 . 3 6 ISSN: 2005 - 4254 IJSIP Copyright ⓒ 201 4 SERSC Extraction of Optic Cup in Retinal Fundus image