We are pleased to announce the availability of Paradigm 17. This release leverages a high-definition platform, advanced technology and seamless integration, to improve asset team effectiveness in achieving superior results.
Paradigm 17 enhances productivity, efficiency and result accuracy through integration in the Paradigm portfolio and with third-party applications. Significant productivity gains are also delivered through the introduction of advanced artificial intelligence capabilities, usability improvements, the enablement of interdisciplinary workflows, and new, advanced functionality across the portfolio.
New for Interpreters
Paradigm 17 introduces application and infrastructure enhancements to the SeisEarth interpretation system, consolidating its core interpretation windows into a single application. This integration is incorporated in part, or in full, into many Paradigm products and bundles, that share the same windows. The result is improved cross-product integration, shorter work time and fewer button clicks.
This release adds to an already rich legacy of use of Machine Learning capabilities in Paradigm applications. Machine Learning techniques have been incorporated into the interpretation platform, including a waveform classification plug-in for interpreters based on the established Neural Network method for classifying wave shapes. A new rock type classification uses seismic data and facies logs to predict facies volumes and their probability of occurrence to improve reservoir characterization in conventional and unconventional plays.
The Paradigm Quantitative Seismic Interpretation (QSI) solution is now available to both Windows and Linux users. Significant enhancements have been made to the crossplot utility as well as to wedge/2D forward modeling, to enable more effective workflows and a better understanding of the seismic response. This release also offers new workflows to extract more information from inversion results.
New for Seismic Processors and Imagers
This release offers efficient new multi-2D depth velocity model building, including full new 2D grid tomography and imaging workflows, and a 2D Kirchhoff time migration based on the 3D application infrastructure. The release supports geologically-constrained velocity models and strengthens integration between GeoDepth and SKUA-GOCAD. Other new features include a new method for production-oriented estimation and application of effective Q from seismic data in Echos, to support imaging in highly dispersive regimes and workflows with broadband acquisition and processing.
New for Geologists, Reservoir Engineers and Petrophysicists
SKUA-GOCAD in Paradigm 17 includes a number of significant new features and performance improvements. Robust structural models can be constructed for even more complex geological conditions and larger data sets. A special effort has been made around the subject of reservoir geomechanics including new tools for building geomechanical meshes and exporting directly structured and unstructured grids to Abaqus™ along with the relevant mechanical rock properties and pore pressures. Enhancing automation and empowering user to customize their own workflows through macros is now easier than ever. In addition to the file-based RESQML data exchange, SKUA-GOCAD now can connect to Petrel* through a direct live link.
Paradigm 17 (Geolog 8) includes the latest version of the Geolog formation evaluation suite, which offers new petrophysics capabilities, such as Multimin Monte Carlo uncertainty analysis and 3D petrophysics. The release also expands Geolog’s capabilities in the engineering domain, and provides direct access to Matlab™ code, enabling research work and custom calculations to be easily delivered to end users from within Geolog.
Improved Data Sharing and Connectors
This release expands connectivity between Paradigm and other G&G platforms, including direct transfer through the Petrel* Connector. These new capabilities provide users with additional options for accessing Paradigm’s advanced technologies while maintaining value from existing investments in other software platforms.