Today, I thought about possible improvement from former research about predicting sonic logs.
Summary:
1. from papers I read yesterday, most predictive models use Vp as inputs with other conventional logs to predict Vs. Most empirical equations predict Vp and Vs together with limited accuracy.
2. There is one paper where Vp and Vs are predicted together with CMIS. There are three different models in CMIS including ANN, FL (fuzzy logic) and NF (Neuro-Fuzzy) models. The accuracy of CMIS is a little higher than ANN and much higher than FL and NF. So maybe there is no need to use CMIS.
Possible improvements:
1. Just use ANN to predict Vp and Vs together instead of CMIS
2. improve the performance of ANN and obtain higher accuracy than CMIS with less time (contain more inputs, more hidden layers, predict one of Vs and Vp first and predict the other next to get higher accuracy, select the best training function)
Next week, I will see if it is possible to use ANN to obtain higher accuracy than CMIS.
what other improvements can be done??... its time for you to take your skill to the next level...
ReplyDeletewhat new thing can be done in this area of acoustic log prediction?
ReplyDeleteFor now, I can just think of these. Next week, I will see if I can do something new.
Delete