A leading-edge fault likelihood algorithm helps accurately detect very subtle fault signatures, providing information about the location of faults, as well as fault dip and strike. This built-in feature can automate and assist with mapping of geological faults in 3D seismic data, a key component of subsurface interpretation workflows.
Complex seismic data analysis workflows can be easily built and customized thanks to a wide variety of seismic attributes quickly accessed via robust search capability. Tools and processes are available to select the input data or generate synthetic data, compute attributes, create data branches, apply filters, and save outputs. Each step of the workflow can be edited through an interactive user interface or through a more advanced YAML editor
A comprehensive collection of attributes is available for application to post-stack seismic data. This list includes curvature, structure-oriented semblance, wavelet decomposition, multi-dimensional clustering, and many more.
An extensive set of tools and processes—including despiking, filtering, interpolation, and structure-oriented smoothing—to help processing of the seismic data before computing resource intensive attributes, such as fault likelihood. This helps eliminate excessive noise that can affect the seismic amplitudes near fault zones.
Each output dataset is linked to the workflow that generated it. All input parameters are preserved in a YAML file that can be easily copied and reused for other datasets, or applied to the same dataset with a new set of parameters. Running multiple realizations of the same job can be performed in seconds.
Upload and download tools are provided to streamline data transfer, making it easy for users to access their seismic data from a cloud-hosted S3 bucket or from a local PC hard drive. Cloud technology is leveraged to transfer large volumes across buckets, by subdividing the data into thousands of small parts and parallelizing the process.
A set of simple 2D visualization tools display fold maps, histograms, and inline and crossline section views, as well as time and depth slices. Users have quick and easy access to these data visualization tools in order to validate workflows and parameters, as needed.