Summary:
I use the following data as inputs to change my model.
GR
DCAL
DTCO
DTSM
DPHZ
NPOR
PEFZ
RHOZ
VCL_HILT
UOIL
The following is the comparison between original T2 distribution (blue) and predicted T2 distribution (red) of the changed model.
In the changed model, R2 of the training data is 0.6166 and NRMSE of the training data is 0.1983. The following is the R2 and NRMSE distribution of the training data.
In the changed model, R2 of the testing data is 0.5526 and NRMSE of the testing data is 0.2059. The following is the R2 and NRMSE distribution of the testing data.
In conclusion, there are not enough inputs in abernathy data, so it is not very accurate to use this ANN model to predict NMR T2 distribution.
Tomorrow, I want to read books and papers about algorithms.
what about the other wells? Can those wells be used for your work.
ReplyDeleteCan you generate the four frequency dielectric data from the raw logs in Hess Well 1 without using NMR logs?
ReplyDeleteCan dielectric log in hess well be generated using the 64 bin NMR log data and other raw logs?
ReplyDeleteCan you train ANN to generate the following logs
ReplyDeleteILLITE_COMBINER
CHLORITE_COMBINER
BOUND_WATER_COMBINER
QUARTZ_COMBINER
K-FELDSPAR_COMBINER
CALCITE_COMBINER
DOLOMITE_COMBINER
ANHYDRITE_COMBINER
UWATER_COMBINER
UOIL_COMBINER
Using RAW logs ,.. do not use NMR and do NOT use Dielectric,