AI for geophysicists: interpreting seismic data, modeling the subsurface and communicating the science

If you’re a geophysicist, you know what it’s like to spend days staring at seismic sections, anomaly maps and mountains of data that only you fully understand. Interpreting the subsurface is a job of patience: noise to clean, signals to separate, layers to reconstruct from indirect clues. The good news is that artificial intelligence can already walk alongside you through much of that process.

Not to replace your trained eye. To take away the repetitive part and leave you what truly matters: the interpretation.

What AI can do for geophysicists

Think of AI as an assistant you hand context and data to, and it returns a draft that’s almost ready to review. In exploration geophysics, signal processing or subsurface modeling, a modern AI can:

• Clearly explain a processing method and when it makes sense to use it
• Write and debug Python code to filter noise, apply transforms or plot your records
• Summarize a technical paper or a field report into its key points
• Propose interpretation hypotheses from the patterns you describe
• Draft the technical report in language someone outside your specialty can understand

What used to take you an afternoon of scripting or writing by hand can now take minutes.

A real example: from raw data to interpretation

Imagine you have seismic records with too much noise and you want to move fast. The flow can be this simple:

1. You give it context. Describe to Claude or ChatGPT the type of data, the sampling rate and what you’re after (for example, highlighting reflectors in a frequency range).
2. You ask for the code. “Write me a Python script with ObsPy to read these traces, apply a bandpass filter and plot the before and after.”
3. You iterate on the result. Run the code, look at the plot, and ask for adjustments: “raise the low cut, the reflector is still buried in noise.”
4. You do the interpreting. With a cleaner signal, you decide what is geology and what is an artifact. That judgment you don’t delegate.

You review, adjust and sign off. The mechanical work was done by the machine.

Subsurface modeling and communicating the science

This is where many geophysicists lose hours: not on the physics, but on explaining the physics. AI is excellent at translating a complex subsurface model into a summary a project manager, a client or a colleague from another discipline can understand.

Describe your model to it (the layers, the uncertainties, what supports your interpretation and what doesn’t) and ask for three versions: a technical one for the report, an executive one for the presentation and a simple one for the meeting with decision makers. It’s the difference between repeating the explanation three times and generating the three drafts in one sitting to then polish them.

It also helps with preparing figures: describe the plot you need and ask for the code that generates it, instead of wrestling with whatever library you’re using.

The important part: your judgment is still in charge

AI is incredibly fast, but it’s not a geophysicist. It can invent a reference, misread a sign convention or propose a filter that erases the very signal you care about. So:

• Always verify the data, the formulas and the citations before using them; AI sometimes makes things up with total confidence.
• Don’t upload confidential project data without confirming the tool’s privacy policies.
• Use it for drafts, code and organization, not as your final source of geological truth.

AI does the tedious 80%. The 20% that requires your experience and your responsibility stays yours, and that’s where your value as a professional is.

Start small

You don’t have to reinvent your workflow tomorrow. Start with a single task: that script you keep putting off or that report you hate writing. Hand it to an AI this week and see how much time it gives you back.

If I, without being a geophysicist, can build things with AI, you with your knowledge of the subsurface can achieve so much more. You just have to start.