apply the model in abernathy well and get better results

Today, I apply the model in abernathy well of BHP data and get better results.

Summary:

I discussed with Yifu. We conclude that because of high water salinity in bakken formation, the permittivity values are extremely large. But there are no logging data which can reflect this characteristic. However, the water salinity in permian basin is not high, so the prediction in abernathy well is much more accurate.

Here are the prediction performance results of abernathy well.

The first is to use original 4 con and 15 inputs to predict 4 per directly. R2 of 4 per of testing data are 0.91, 0.92, 0.80, 0.66. They  are much better than that in Hess data. It shows that it is feasible to predict 4 con first and use it with logging data together to predict 4 per. But the problem is that the accuracy varies a lot.

The second is to predict 4 con first and then use predicted 4 con and logging data together to predict 4 per. At first, I predict 4 con. R2 of 4 con of testing data are 0.88, 0.87, 0.85, 0.82.

Then 4 per are predicted by 15 inputs and predicted 4 con in another ANN model. R2 of 4 per of testing data are 0.61, 0.65, 0.55, 0.51. They are more accuracy and stable than those in Hess data.

Tomorrow, I will continue to improve the prediction performance. In addition, Hao has given me part of the suggestions of improving the paper just now. I will improve it tomorrow.