Extract data from .RFT

[ray63]

What a fantastic library - Thanks guys - I can see this being way faster for certain analysis compared to PetrelRE - assuming one had all the licences available.

I'd like to use pythion and extract RFT data to compare with measured data, however I am struggling to determine how to extract the data from the .RFT file. I haven't found any examples and with limited python experience and its interaction with cpp , I haven't been able to decypher the library.

The best I've been able to investigate is a long the lines of code below. There must be a simple way to extract a list of the data for a given well and date (be it RFT or PLT data), but I haven't worked it out hyet.

The next step will be to then load the trajectory data to enable a comparison of the measured data in MD, and compare to the modelled data - but that's the next problem (any hints or pointers to some examples here appreciated too)

from ecl.summary import EclSum
from ecl.rft import EclRFT , EclRFTCell, EclPLTCell

if name == 'main':

case = sys.argv[1]
rftFile = ecl.rft.EclRFTFile(case)    # load the RFT data
rftHeaders = rftFile.get_headers()  # collection of (Wellname, date)

print("Wells ", rftFile.get_num_wells())

for i in range(0,len(rftFile)):
    print(rftFile.iget(i))

for i in range(0,len(rftHeaders)):
    print(rftHeaders[i])

print("Total number of RFTs : %d" % rftFile.size())
print("RFTs matching M*    : %d" % rftFile.size(well="M*"))t
print("RFTs at 01/01/2010   : %d" % rftFile.size(date=datetime.date(2010, 1, 1)))

oneRFT= rftFile.get(well_name="MR6A-PH",date=datetime.date(2014, 6, 7))

[berland]

Hi, have a look at ecl2df, which wraps this ecl and provides a Pandas interface to parts of it, including the RFT support:

https://github.com/equinor/ecl2df
https://equinor.github.io/ecl2df/
https://equinor.github.io/ecl2df/usage/rft.html
https://github.com/equinor/ecl2df/blob/master/ecl2df/rft.py

[ray63]

Thanks berland - great link to more useful tools to investigate further.