Summary:
First, I turn 4 con and 4 per into 4 magnitude and 4 tan values. The I predict them together. The results of prediction performance are shown as follows.
The first is four magnitude. The R2 of four magnitude prediction of testing data are 0.78, 0.75, 0.71, 0.77, which are almost as good as 4 con prediction.
The second is four tan value. The R2 of four tan value prediction of testing data are 0.23, 0.24, 0.22, 0.58, which are almost as bad as 4 per prediction.
In conclusion, for now, they best method is to predict 4 con first and then use 4 con and 11 log inputs to predict 4 per.
Tomorrow, I will continue to try other methods.
read the papers I shared with you. let me know if there is any good idea there in those papers.
ReplyDeleteyour finding looks good.
ReplyDeleteyou need to try the prediction on BHP well to ensure that you observations are valid and make sense.
I am suggesting you to try on BHP well because... there might be a chance tht Hess well has bad perm data...
ReplyDeleteok, I will have a try today
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