Access RMS and SKUA project data using Jupyter Notebook and Python. Learn to run RMS jobs, execute SKUA CLI commands, perform data visualization and improve efficiency of reservoir modelling. |
Geoscientist and Reservior Engineers |
SKG024
1 day(s)
0.7
Introductory
Learn how to use Python API to create customized workflows and visualization |
|
Basic Python knowledge recommended |
RMS101, RMS201, RMS231, RMS211 SKG101, SKG201, SKG202, SKG301 |
Introduction to Aspen RMS "- Exploring the Aspen RMS User Interface: Navigating and Interacting with the Software - Basic understanding of Geological Modeling in Aspen RMS" Introduction to RMS Python Environment "- Understand the capabilities and features of the RMS Python API. - Discover the power of third-party packages available within the RMS Python environment. - Explore the possibilities of extending the functionality of RMS Python scripting using external libraries." Working with Wells, Seismic, Horizons and 3D grids using RMS Python Scripting - Learn how to utilize Python scripting to work with seismic data, well data, horizons, and 3D grids. Accessing RMS Jobs using Python to set-up and perform calculations Workshop 1: Engage in a hands-on workshop where you will practice working inside the Aspen RMS GUI using Python Customizing RMS workflows with Plugins: "- Understand the benefits of RMS Plugins. - Showcase an example of RMS Plugins" Integrating Jupyter Notebook into an RMS environment "- Learn how to integrate Jupyter Notebook into the Aspen RMS environment. - Utilize Jupyter Notebooks to access RMS project data and perform calculations using Matplotlib and Plotly - Utilize Jupyter Notebook to calculate CO2 storage capacity in an existing model." Introduction to RMS Apps - Discover how to create external apps to access RMS project data and explore the possibilities of extending RMS functionality through custom apps. Workshop 2: Working with Aspen RMS data outside GUI using Jupyter Notebook. Introduction to Aspen SKUA Automation in Aspen SKUA through CLI commands and Macros - Discover how to automate Structural Modeling, Gridding and Property Modeling through CLI commands and Macros Introduction to Python Environment in SKUA-GOCAD "- Learn scripting inside Aspen SKUA Python Editor - Exploring different Data types Covered inside Aspen SKUA Python Environment - Demonstrating a use-case using Python API (Wells/Grids)" Workshop 3: Running the Model Building workflow using Python API Integrating Jupyter Notebook into an RMS environment "- Extend python environment with third part libraries - Learn how to integrate Jupyter Notebook into the Aspen SKUA environment. - Run Model Building workflow python script in the notebook " Workshop 4: Running the Model Building workflow through Jupiter Notebook |
Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.