5/26/2023 0 Comments Timeslice seismic consultants![]() To teach and understand better the uncertainties in dealing with incomplete data we need to understand the strategies individual practitioners deploy that make them effective interpreters. This interpretation basis for the science is fundamental at all levels from creation of a geological map to interpretation of remotely sensed data. Geoscience is perhaps unique in its reliance on incomplete datasets and building knowledge from their interpretation. Structural interpretation of seismic data and inherent uncertainties We improve the annotation of seismic structures by applying novel illustrative rendering algorithms tailored to seism. We improve the search of seismic structures by precalculating the horizon structures of the seismic data prior to interpretation. Searching for oil and gas involves creating a structural overview of seismic reflection data to identify hydrocarbon reservoirs. We present a toolbox for quickly interpreting and illustrating 2D slices of seismic volumetric reflection data. Patel, Daniel Giertsen, Christopher Thurmond, John Gjelberg, John Gröller, Eduard The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data These techniques help reduce the work of seismic illustrators and interpreters. Thumbnail views in combination with interactive appearance control allows for a quick overview of the data before detailed interpretation takes place. 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. 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. Patel, Daniel Giertsen, Christopher Thurmond, John Gjelberg, John Gröller, M Eduard The seismic analyzer: interpreting and illustrating 2D seismic data. After investigating these platforms, we developed a preferred Automated Fault Interpretation workflow. Numerous software packages have implemented this methodology with varying results. The extracted fault surfaces are then exported to interpretation software for QC. Once a satisfactory Fault Likelihood Volume is created, extraction of fault surfaces is much easier. Instead, planar features within a specified strike and dip range are highlighted. In general, these volumes contain less noise and do not emphasize stratigraphic features. ![]() Hale (2013) presents a method to improve on these datasets by creating what is referred to as a Fault Likelihood volume. These products highlight discontinuities, but still need a large amount of human interaction to interpret faults and are plagued by noise and stratigraphic discontinuities. With the improvement of technology, the interpretation of faults can be expedited with the aid of different algorithms that create supplementary seismic attributes, such as semblance and coherency. Automated Fault Interpretation and Extraction using Improved Supplementary Seismic Datasetsĭuring the interpretation of seismic volumes, it is necessary to interpret faults along with horizons of interest. ![]()
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