check the outline

Today, I continued to check the outline.

Summary:

outlier: i should try if outliers will be deleted. if not, we can mention in our paper that we does not delete any data.

PCA analysis should be used for high dimension reduction (thousands or millions), which is not suitable for our research.

transformation of data may be useful for prediction: standardization, change skewness, normalization.

Tomorrow, I will realize codes for this week's outline.

check some tasks in the outline

Today, I checked some tasks in the outline.

Summary:

1. cumulative gains chart and ROC curve are for binary prediction, which is not suitable in our case.
2. boxplots and histograms of data visualization methods may be helpful.
3. pearson correlation coefficient can be used for correlation analysis.
4. concordant and discordant pairs are for value ranking, which is not suitable in our case.

The following is the prediction results with ANN models done before, which is a good prediction with NRMSE less than 0.09.

Tomorrow, I will continue to follow the outline to finish some tasks.

Finish the outline

Today, I finished the outline for sonic log prediction.

Summary:

I will send it to you by an email.

Tomorrow, I will start to finish tasks following the outline.

look for new methods to improve my work

Today, I looked for new methods to improve my work.

Summary:

Today, I looked for new methods and start to write the outline.

Tomorrow, I will finish the outline and start to try these methods.

finish the draft

Today,  I finished the draft for TGRS.

Summary:

I will send you by an email.

Next week, I will try to apply some techniques of the course 'Intelligent Data Analytics' to the prediction of sonic logs.

Finish changing the format

Today, I finished changing the format to TGRS one.

Summary:

I copied all contents of our paper to the template.

Tomorrow, I will edit references, look through the paper, check from top to bottom and send it to you.

continue to write the paper

Today, I continued to write the paper.

Summary:

I continued to write the paper for TGRS.

This weekend, I will try to finish the paper.

continue to write the paper

Today, I continued to write the paper.

Summary:

I am now plotting figures for those results.

Tomorrow,  I will continue to write the paper and try to finish it before next Monday.\

continue to write the paper

Today, I continued to write the paper.

Summary:

I will first finish the draft and then try to satisfy the requirement of TGRS.

Tomorrow, I will continue to write the paper and try to finish it this weekend.

finish the first paper and start on TGRS

Today, I finished the first paper and started on TGRS.

Summary:

I am now writing 'case study' part.

Tomorrow, I will continue to write the paper. I will try to finish this paper this week.

finish the draft

Today, I finished the draft of the first paper.

Summary:

I sent you by an email.

Tomorrow, I will start on the third paper.

finish all calculations

Today, I finished all calculations and comparisons.

Summary:

Good prediction:
porosity: r2=0.7685, nrmse=0.0909;
t2,gm: r2=0.8664, nrmse=0.0840;
t2,gm*porosity^2 (SDR model term): r2=0.7586, nrmse=0.0854.

Bad prediction: BVI, FFI/BVI*porosity (TC model term).

Main reason: when predicting 64 bins, the model consider them as a whole. So the parameter related to all 64 bins are accurate such as porosity and t2,gm, which use all 64 bins for calculation at the same time.
However, BVI and FFI divided T2 distribution into 2 parts, and calculating BVI focuses on just the first several bins. So BVI is not accurate, and FFI/BVI will even increase uncertainty.
As a result, I recommend to mention porosity, t2,gm and SDR model in our validation part instead of mentioning all of them. More research is needed to be done to predict BVI accurately through predicting T2 distribution.
Maybe predicting BVI directly is a good choice.

At the weekend, I will write the paper and finish it. I will send you the draft before Monday.

finish porosity and Swirr comparison

Today, I finished porosity and Swirr comparison.

Summary:

I finished porosity and Swirr comparison and the result is good from the figure.

Tomorrow, I will finish the k comparison and try to finish the paper.

obtain predicted T2

Today, I adjusted models and obtain new predicted T2.

Summary:

The prediction improves a little but almost the same. I saved new T2 distribution and recorded deleted depths. Also, I have changed all data related to the accuracy if changed. So there should be no problem.

Since testing accuracy is more important than training accuracy in data analytics, I use all of testing accuracy when comparing two models. When adjusting the model, narrowing the gap between training and testing accuracy difference is considered.

Tomorrow, I will use new T2 distribution to obtain porosity, k, irreducilbe saturation and bound water in IP. Then I will compare those results  with original ones after depth matching.

calculate irreducible saturation, bound water saturation, k, porosity

Today, I looked for methods to calculate the four parameters.

Summary:

I found that there are some functions in IP software such as NMR interpretation.
I am uploading data to IP to use this function so that I can calculate these parameters.

Tomorrow, I will try to finish this part and make comparison of original and predicted results.

change the first paper and leave some questions.

Today, I changed the first paper and leave some questions.

Summary:

I will send you an email about my questions.

Tomorrow, I will continue to change the paper.

start to write the paper

Today, I started to write the paper.

Summary:

I am now writing the case study part.
I plan to finish the draft next week.

Next week, I will continue to write the paper.

Finish all tasks

Today, I finished all tasks of the paper.

Summary:

Tomorrow, I will start to write the paper.

adjust running the results following the results

Today, I adjusted running the results following the outline.

Summary:

Tomorrow, I will see if I can find more kind of noise and start to write the paper.