What's Next
Learning objectives
- Recognise what you can now do
- Preview the Ask Ogbon advisor with a goal-to-workflow lookup
- Plan a first project on real data or in Python
- Carry the fit-for-purpose question forward
You Have Finished
This is the end of the course. You started at the forward problem, the idea that a known earth produces knowable data, and you have built every engine that turns one into the other: the convolutional model, the finite-difference wave equation, elastic AVO with Gassmann, anisotropy and the Thomsen parameters, the fracture rock physics and azimuthal AVO, earth models at scale, and the Modeling Lab that ties them together. More than any one of these, you have learned to ask which of them a given question actually needs.
The Advisor, and the Road On
The widget above is a preview of the Ask Ogbon advisor, the feature planned to come next. Where this preview is a lookup, the full advisor will take your end use in your own words, interview you about offsets, azimuths, and targets, and return a tailored workflow with generated starter code prefilled into the Python Playground. It is the natural continuation of the course: from teaching you to choose the engine, to helping you build the whole study.
Until then, the road on is open. Take a model you built in the Lab and run it in Python. Open a real dataset and try to reproduce a feature you can see. Scale a promising run up to Devito or SPECFEM. And whatever you model, keep asking the one question this whole course was built around, before you touch a solver: which engine does this actually need? Answer that well, and you are no longer running software. You are doing seismic modelling. Thank you for taking the course.