Random Forest Regression Machine Learning - Well Log Prediction for Petrophysics

Random forest is a very popular machine learning algorithm that can be used for both classification and regression. Within this tutorial, we will see how we can use the Random Forest algorithm to predict a continuous output using well logs as an example.
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00:00 Introduction
01:14 Data Loading and Preparation
07:44 Building the Model
08:11 Verifying the Model Results
10:49 Predicting on the Test Data

[@pareekshithegde2983]

sir can u plz make vedio about the data preprocessing like how to convert the dates from dat format to csv and csv to las file and how to combine the readings of the same well and different well

[@teamsonnyliston]

thank you for these videos, keep going

[@AndyMcDonald42]

Glad you like them!

[@Channel1212ful]

I'm not sure how this is free content ... you're a legend. Also, can you go further and show us how you would try and improve your prediction?

[@AndyMcDonald42]

Thanks! I may cover that in a future video. It can be a long winded process though, but there are automated methods of doing it which I can also cover.

[@justificacoesacademicas]

Great video, can you please give as the data that you used on the video please.

[@user-dk7nv7vt9d]

HI, thanks for this amazing content. Would an analysis like this benefit from using XGBoost or other Boosting or bagging algorithms?

[@AndyMcDonald42]

Quite possibly. I would recommend checking and comparing multiple algorithms then identify which one performs the best for your data

[@mominabdlhamed2098]

Great video, can you please make a video on how to use ANN to predict Shear wave using P-wave, GR, LLD, NPHI, RHOB, SW in unconsolidated formation as it's hard to acquire Vs in

[@AndyMcDonald42]

Thanks. It is in the process of being put together. I am hoping to have it up later this month or early next month. :)

[@Sathish69]

Good morning sir, how can i use this random forest algorithm for LULC prediction using tiff files

[@Sathish69]

please provide me, if you have any source code to do with raster files to predict future lulc classification