check lithologies and try shallow data

Today, I check lithologies.

Summary:

There are ten different lithologies contained in total, from 2 to 11. After trial and error, the best is to use lithologies from 3 to 11. I also deleted the last 15 depths for better data.

The results are as follows. The first is 4 conductivity prediction. Four corresponding R2 of testing data are 0.76, 0.77, 0.69, 0.77. They are a little better than yesterday's results.

The second is 4 permittivity prediction. Four corresponding R2 of testing data are 0.05, 0.28, 0.35, 0.61. They are a little better than yesterday's results.

In conclusion, the lithologies have some kind of effect on prediction performance but not much. For now, lithologies from 3 to 11 together can predict dielectric data the best.

In addition, I also checked shallow data (what we use before are deep data). But the result shows that they are worse than deep data. I checked the all of them in IP and found that shallow data are even more in disorder than deep data. That may be the reason why shallow data have worse prediction performance.

In conclusion, we should still use deep data.

 Next week, I will check the following things which could be useful for improving prediction performance:
1. change the training function and change the model;
2. use predicted con with 11 inputs to predict per together;
3. produce magnitude, tan and predict them;
4. predict with NMR.