Research Software Developer
Current• Modules support for land and marine seismic processing.• New module design and implementation for seismic processing and interpretation.
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Jiajun Han is listed as Ph.D. P.Geo Software Developer Geoscientist at CGG, a with 4140 employees, based in Calgary, Alberta, Canada. AeroLeads shows a work email signal at cgg.com and a matched LinkedIn profile for Jiajun Han.
Jiajun Han previously worked as Research Software Developer at Cgg and Researcher at Geosoftware. Jiajun Han holds Doctor Of Philosophy (Ph.D.), Geophysics And Seismology from University Of Alberta.
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• Professional Geoscientist with a Ph.D. and 9 years of working experience specializing in software development in the energy industry.• Rich research experience in algorithm design and implementation, focusing on data processing and image processing.• Well-versed in all phases of the software development lifecycle, with proven problem-solving skills to meet tight product release deadlines. Highly innovative and collaborative with excellent debugging and troubleshooting skills.• Expertise in object-oriented programming, work experience in developing computational intensive software tools with capacities of programming in C++ and Python, and familiar with Fortran. • Expertise in prototyping and demonstrating the new algorithm on Jupyter notebook and Matlab. • Experience in optimization using GPU for improving computation time.• Working experience using SVN for version control system, and Jira for Agile project management.• Advanced knowledge in linear algebra, statistical models and familiar with common machine learning and deep learning algorithm. Knowledge on data structures and algorithms.
Listed skills include Matlab, Geophysics, Earth Science, Seismology, and 11 others.
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Calgary, Alberta, Canada
• Modules support for land and marine seismic processing.• New module design and implementation for seismic processing and interpretation.
Calgary, Alberta, Canada
• Exclusive developer of the volume package in HampsonRussell Software, including software development, algorithm design and validation, maintenance, documentation and client support. • Design and develop new workflow to highlight the carbonate related features utilizing the frequency information.• Support and test the in-house deep learning (CNN) workflow for the reservoir characterization.• Implement the user interface for the in-house deep learning software.
Calgary, Alberta, Canada
• Application of compressive sensing technique for seismic inversion problem. • Advanced preconditioning technique designed for large-scale data noise attenuation problem, e.g. footprint removal, random and coherent noise attenuation in seismic data. • Linear system solver library for efficient parallel scientific computing.• Applications on machine learning approach for well data classification and seismic facies classification. Prepare the workshop material for the clients… Show more • Application of compressive sensing technique for seismic inversion problem. • Advanced preconditioning technique designed for large-scale data noise attenuation problem, e.g. footprint removal, random and coherent noise attenuation in seismic data. • Linear system solver library for efficient parallel scientific computing.• Applications on machine learning approach for well data classification and seismic facies classification. Prepare the workshop material for the clients. • Improve on deep learning (Deep feed Forward Neural Network) workflow for the reservoir property estimation.• Develop and test GPU programming for software optimization using CUDA toolkit. • Improve the workflows for reservoir characterization. • Technical writing: develop training workshops and end user documentation. Show less
• Research on spectral decomposition techniques, and implement the conventional and high resolution spectral decomposition techniques to the commercial software with friendly user interface, high performance and stability.• Implement the signal bandwidth extension to improve image resolution.• Development and maintenance of the commercial software, including new features development, bug fixing, and performance improvement.
Calgary, Canada Area
• Implement empirical mode decomposition, a high time frequency resolution spectral decomposition method into commercial software. The method was awarded as the best paper in the 2012 SEG annual meeting.
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Farhat Driss
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Mc Montalant-Risbourg
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Kean Loon Lee
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Jiajun Han works for CGG.
Jiajun Han is listed as Ph.D. P.Geo Software Developer Geoscientist at CGG.
AeroLeads has found 1 work email signal at @cgg.com for Jiajun Han at CGG.
Jiajun Han is based in Calgary, Alberta, Canada while working with CGG.
Jiajun Han has worked for Cgg and Geosoftware.
Jiajun Han's colleagues at CGG include Farhat Driss, Carlos Rosales, Medic Symphony, Victor Duke, and Giraudet Jean Paul.
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Jiajun Han holds Doctor Of Philosophy (Ph.D.), Geophysics And Seismology from University Of Alberta.
Jiajun Han is listed with skills including Matlab, Geophysics, Earth Science, Seismology, Numerical Analysis, Modeling, Signal Processing, and Microsoft Office.
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