Is there a place for Linear Regression in predicting Oil and Gas Production Data (Volve dataset)?

The GitHub repo Yeet-v1/Volve-Oil-and-Gas-Production-Data-Prediction shows how to clean the data, feature engineer some parameters, and predict Oil and Gas production on a well. As a result, it achieves a correlation r2 0.79 on cumulative production data.
Undoubtedly, have to try using some nonlinear methods to improve the prediction. The author of this repo is Yeet-v1.

Link to the repo: https://github.com/Yeet-v1/Volve-Oil-and-Gas-Production-Data-Prediction
Link to the LinkedIn post