1/18/2017

Deal with the data

Today, I changed the parameters as you said. Also, I added 4 new parameters to my data matrix. I tried to deal with the data so that they can be applied to R.
In addition, I have a question when I select more data today.

New parameters:
SonicScanner:DTCO
US/FT
SonicScanner:DTSM
US/FT
QElan:DPHZ
ft3/ft3
QElan:NPOR_EC
ft3/ft3

I have collected all the parameters to IP software named NMRprediction. There are 23 parameters in total. 1 is depth and 1 is NMR permeability. So the total is 25.


Question:
What is the difference between QElan and RTscanner and Sonicscanner? They all include data from AT10 to AT90. I compared them and found that they almost have the same values. The difference is that QElan and RTscanner data depth range is from about 9000 ft to 11200 ft and Sonicscanner data depth range is from about 2000 ft to 11200 ft. For now, I selected AT10, AT60 and AT90 from Sonicscanner.

Tomorrow, I will continue to deal with the data and code.


10 comments:

  1. 1. identify the depths where NMR is present. identify top and bottom zones.

    2. divide the entire NMR depth range into testing and training sets based on the best method of partitioning.

    3. select all other relevant log data (to be used to develop the predictive model) from the depths belonging to the training set.

    4. use the other relevant log data to build the predictive model of NMR T2 distribution. You cannot predict the entire NMR T2 distribution. therefore you need to approximate the NMR t2 distribution to sum of 2 or 3 Gaussians or lognormal distribution depending on the data set.

    5. Find out the total number of unknowns that define the predictive model of NMR t2 distribution

    6. Ensure the number of log data to be used as input to build the predictive model exceeds the unknowns.

    ReplyDelete
    Replies
    1. We should predict NMR T2 distribution or NMR permeability?

      Delete
  2. QELAN SONICSCANNER RTSCanner are different log runs. these different log runs were acquired at different times and for different depths.

    ReplyDelete
  3. Use RtScanner data Rh and Rv

    Do not use NMR permeability.

    ReplyDelete
    Replies
    1. As I think, we should use data whose depth is almost from top to bottom. The data depth range of RTScanner is almost the same with NMR. Therefore, when we want to predict NMR in other depth ranges, there are no data of RTScanner for us to use. So I think it is not applicable. We cannot use QElan or ELLAN2 for the same reason.

      Delete
    2. Why do we not use NMR permeability? Is my research's goal to predict NMR permeability?

      Delete
  4. Send me your final version of the excel sheet containing the input log data that you have selected.

    Ensure that the excel sheet has proper name of the log, units, and depth range.

    all log data and predicted NMR data needs to have same depth and must be depth matched

    ReplyDelete
  5. send me the zoomed out version of the log that shows that the selected data are properly depth matched.

    ReplyDelete
    Replies
    1. Ok, When I collected data together, I did the depth matching. After I finish it, I will send it to you immediately.

      Delete