Using Python and Jupyter Notebook for Working with Aspen RMS and Aspen SKUA

Learn how to use Python API to create customized workflows and visualization

• Clear guidance on fundamental topics
• Industry workflows
• Hands-on workshops
• Experienced instructor-guided demonstrations
• Q&A on student-specific problems

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