Giertsen, Christopher

Giertsen, Christopher

Vice President - Business Development

T: +47 957 52 125



  • Knowledge-assisted visualization of seismic data

    Patel, Daniel; Giertsen, Christopher; Øyvind Sture, Helwig Hauser, M. Eduard Gröller

    We present novel techniques for knowledge-assisted annotation and computer-assisted interpretation of seismic data for oil and gas exploration. We describe the existing procedure for oil and gas search which consists of manually extracting information from seismic data and then aggregating it into knowledge in a detail-oriented bottom-up approach.

  • The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data

    Patel, Daniel; Giertsen, Christopher; John Thurmond, John Gjelberg, and M. Eduard Gröller

    Abstract —We present a toolbox for quickly interpreting and illustrating 2D slices of seismic volumetric reflection data. Searching for oil and gas involves creating a structural overview of seismic reflection data to identify hydrocarbon reservoirs. We improve the search of seismic structures by precalculating the horizon structures of the seismic data prior to interpretation. We improve the annotation of seismic structures by applying novel illustrative rendering algorithms tailored to seismic data, such as deformed texturing and line and texture transfer functions. The illustrative rendering results in multi-attribute and scale invariant visualizations where features are represented clearly in both highly zoomed in and zoomed out views. Thumbnail views in combination with interactive appearance control allows for a quick overview of the data before detailed interpretation takes place. These techniques help reduce the work of seismic illustrators and interpreters.

  • Illustrative Rendering of Seismic Data

    Patel, Daniel; Giertsen, Christopher; John Thurmond and Meister Eduard Gröller

    In our work we present techniques for illustrative rendering of interpreted seismic volume data by adopting elements from geology book illustra tions. We also introduce combined visualization techniques of interpreted and uninterpreted data for validation, comparison and interdisciplinary communication reasons.