It should be relatively straight-forward to add a well test analysis module to PyTOUGH, applying a nonlinear optimisation routine from SciPy to an function that takes input parameters (e.g. permeability and porosity), generates a radial TOUGH2 model, runs it and calculates the model response corresponding to field data.
This could in principle be part of a more general simple model calibration module- but that is perhaps better left to iTOUGH2 and PEST.
Any update on this? We're looking to do some well test analysis with an input well using only well flow rate and enthalpy, but can't seem to figure out how to assign these values (normally on generators) to wells?
I haven't done anything on it myself, but Zarrouk and McLean have done it (using PyTOUGH) - see their new book and related articles on the PyTOUGH articles page.
It should be relatively straight-forward to add a well test analysis module to PyTOUGH, applying a nonlinear optimisation routine from SciPy to an function that takes input parameters (e.g. permeability and porosity), generates a radial TOUGH2 model, runs it and calculates the model response corresponding to field data.
This could in principle be part of a more general simple model calibration module- but that is perhaps better left to iTOUGH2 and PEST.