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Welcome to the EIP GitHub page! ✨

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The Edinburgh Imaging Project (EIP) explores the exciting fields of imaging and monitoring of the Earth’s subsurface, principally for applications within industry. EIP often uses methods from inverse theory, migration, tomography and data science.

Over the past decade, EIP has created many new seismic, seismological, electromagnetic, and ambient noise imaging methods. EIP explores and creates these advances, transfers them to sponsors organisations, publicises them to interested communities, and trains excellent graduate students.

The fundamentals of imaging methods span a broad range of disciplines, requiring expertise in mathematics, physics, wave theory, signal processing, exploration geophysics, earthquake seismology, ambient noise theory, inverse theory, machine learning, and numerical and experimental modelling and imaging. EIP therefore includes researchers from a wide variety of international backgrounds, and Ph.D. and postdoctoral positions are often available for the brightest students and researchers in the above areas. All research is fully funded by a consortium of industrial companies, currently: Total and BP.

Contact

Website: blogs.ed.ac.uk/imaging

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  1. MCDisp MCDisp Public

    Forked from xin2zhang/MCDisp

    Surface wave dispersion inversion using Monte Carlo methohd

    Fortran 1 3

  2. statistical-experimental-design statistical-experimental-design Public

    Forked from hugobloem/statistical-experimental-design

    Statistical Experimental Design for Traveltime Tomography Problems

    MATLAB 1

  3. MCTomo MCTomo Public

    Forked from xin2zhang/MCTomo

    2D and 3D Monte Carlo seismic tomography

    Fortran 1 3

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