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Tempest 2022.1

Accurate forecasts in reduced time cycles

The Tempest™ suite provides a full range of reservoir engineering and simulation tools. With hundreds of users worldwide, Tempest is used to prepare and navigate simulation input, submit and monitor runs, visualize and analyze results, perform assisted history matching, and predict production uncertainty. The Tempest 2022.1 release adds support for multiple PVTx projects, loading of IX generated RESQML files, manual control over file templating, and improved modeling of gas phase shearing, tracers as well as additional reporting options for various Tempest MORE features.

Key Features

  • Support for multiple PVTx projects open in session.
  • Added support to read IX grid and static properties from RESQML, with “.EPC” extension.
  • In Tempest ENABLE, the input file tree now provides manual control over file template status.
  • Added import and export polygon file functionality to the Region Editor
  • Support mixing of unified and non-unified summary and restart files while loading ECLIPSE data. Tempest now allows 18 different combinations for loading summary and restart data available as unified, non-unified, formatted, unformatted or not present.
  • Improved modeling of gas phase shearing, tracers, groups and high throughput cases as well as additional reporting options for various features. 
  • Enhancements to Python operations.
  • A range of interoperability features, including additional ECLIPSE and CMG compatibility, editing Petrel and ECLIPSE RAC components.
Visualization of multiple PVTx projects

 

 

In case you missed it, here are key features from previous releases of Tempest.

Key Features in Tempest 2021.3

  • Post-history match Big Loop optimization allows engineers to choose the best well location or well control strategy in brown fields while taking full account of the underlying geological uncertainty.
  • Live updates to the Big Loop analytics dashboard enable users to analyze their data and field model results in real-time.
  • Ensemble visualization of PVT data extended to the Big Loop analytics dashboard allows engineers to analyse PVT uncertainties
  • Improved EoS modeling with Molecular Diffusion captures the physics of carbon capture studies more accurately.
  • Increased ECLIPSE and CMG compatibility
Production profile results at the end of a Post-HM Big Loop optimization project. 

Key Features in Tempest 2021.2

  • Corey Exponent RAC component provides flexible parameterization for creating multiple relative permeability tables. The powerful Big Loop™ analytics dashboard supports the synchronized visualization of these relperm ensembles.
  • The new distribution plot module and extended aggregations and support for multiple plots per module add to the functionality and usability of the Big Loop analytics dashboard. Users can now visualize aggregated scalar and series data, leading to easier decision making.
  • Increased ECLIPSE compatibility
Big Loop analytics dashboard shows results of a Big Loop optimization project.

 

Key Features in Tempest 2021.1

  • Improved overall Python experience with added highlighting and an option to run Python with externally downloaded packages in a virtual environment. This allows use of a huge range of powerful Python libraries inside a Big Loop workflow in a portable way.
  • Read CSV RAC component provides a powerful and user-friendly way to import results from geo-modeling packages, Python scripts and other components in a Big Loop project. Almost any ensemble scalar result can be optimized and analyzed.
  • New Tempest Analytics license option allows third-party optimization and history matching projects to be imported in Tempest for use with its post-processing and Big Loop analytics capabilities. This also provides a cost effective way to analyze and visualize Big Loop projects.
  • Improved Big Loop analytics dashboard
  • Increased ECLIPSE compatibility

 

Big Loop analytics dashboard shows results of a Big Loop optimization project.
 Key Features in Tempest 2020.4
  • Big Loop optimization allows engineers to choose the best well location or well control strategy while taking full account of the underlying geological uncertainty. Click here to read a paper about using this approach with green fields.
  • Ensemble results can now be organized into multiple synchronized dashboards. This lets geoscientists analyze Big Loop results simultaneously in multiple ways. The composite displays include the previously released parallel coordinate and scatter plot matrix, and add attribute tables and ensemble line plots.
Dashboard Big Loop analytics display showing highlighted runs across a range of display components

 

Key Features in Tempest 2020.3
  • A patented alternative to the traditional Peaceman approach to well-grid connectivity (Free Space Well Connection) uses Green’s functions to accurately model the flows between the well bore and the completed grid cells. Unlike many approaches, FSWC can handle a wide range of well-cell geometries, including offset wells, horizontal and deviated wells and partially penetrating wells.
  • A range of interoperability features, including SKUA-GOCAD™ support in Big Loop workflows and additional ECLIPSE* and CMG compatibility in Tempest MORE.
  • Various features for analyzing run sets and ensembles, including common legends, run set filtering, run highlighting and synchronized selection.
  • Support for Red Hat Enterprise Linux version 8.
Transformed grid showing well trajectory, the boundary elements used to calculate transmissibilities and the variation of permeability in the link cells.

 

 Key Features in Tempest 2020.2
  • A new scatterplot matrix display that can crossplot a wide range of uncertainty parameters, observed data points and run attributes. Whole ensembles may be plotted simultaneously, and high-performance filtering, highlighting and selection enables interactive analysis of large data volumes. The new plot works in tandem with the recently released Tempest parallel plot with synchronized coloring, filtering and highlighting of runs. This now offers two complementary ways to get maximum information from a Big Loop or traditional ENABLE project.
  • A range of interoperability features, including additional ECLIPSE* compatibility, INTERSECT* and Python Big Loop support, and CMG results post-processing on Linux. 
  • Usability enhancements, including drag and drop loading of all the runs in a folder.
Scatterplot display of uncertainty parameters and observed data values across 3000 runs. Note the best match ranges for kx2 and kx3 and the unsensitivity of kx1. (2020.2)

 

(ECLIPSE and  INTERSECT are marks of Schlumberger, GEM is a mark of CMG.)