6/28/2017

predict Sw

Today, I continue to read some papers and start to predict Sw.

Summary:

Some properties which may affect dielectric logging data:
the content of water, oil and rocks;
different rock minerals;
different lithologies;
mud cake;
water salinity;
temperature, so maybe depth;
in low frequency, conductivity dominates, in high frequency, dielectric constant dominates

Since we use permittivity (both dielectric constant and conductivity) to calculate Sw with some mixing models as I read from papers, why not predict Sw directly?
I found Sw in dielectric data and I predict it.


The training R2 is 0.75 however the testing R2 is 0.07, which is very bad.
I think I can first try to find methods to predict Sw of dielectric data accurately. Then maybe I can also predict per and con more accurately.

Tomorrow, I will try to improve the performance of prediction for Sw.








4 comments:

  1. another day wasted with non productive work...

    Sw is a estimation and not a direct measurement.

    Lets predict on the raw measurements.

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  2. what about predicting real conductivity and imaginary conductivity... for that you will have to convert epsilon (rel perm) to imaginary cond... ask yifu if you do not know how...

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