Contents:
density_porosity()
effective_porosity()
gaymard_porosity()
neutron_density_porosity()
neutron_porosity()
porosity()
sonic_porosity()
gammarayindex()
vshale()
vshale_clavier()
vshale_larionov()
vshale_larionov_old()
vshale_linear()
vshale_neu_den()
vshale_nrm()
vshale_stieber()
archie()
fertl()
indonesia()
simandoux()
water_saturation()
bulk_modulus()
compressional_modulus()
compressional_wave_velocity()
poisson()
shear_modulus()
shear_wave_velocity()
gassmann()
gassmann_subs()
kdry()
ksat()
mavko()
mavko_subs()
mdry()
msat()
constant_cement()
contact_cement()
gem()
gem_model()
hertz_mindlin()
soft_sand()
stiff_sand()
hill()
reuss()
voigt()
MCS_spacial_correlation()
analytical_variogram()
cov_matrix()
experimental_correlation()
experimental_variogram()
exponential_variogram_model()
gamma_calc()
gaussian_variogram_model()
modeled_correlation()
p()
spherical_variogram_model()
variogram_model
variogram_model.denormalization()
variogram_model.graph()
variogram_model.norm_graph()
variogram_model.norm_variography()
variogram_model.normalization()
variogram_model.variography()
settings()
fit()
predict()
depth_zones()
project
project.class_counts()
project.convert_into_matrix()
project.data_replacement()
project.import_folder()
project.import_several_wells()
project.import_well()
project.shape_check()
data_assemble()
predict_processing
predict_processing.matrix_values()
predict_processing.return_curve()
predict_processing.train_test_split()
well_train_test_split()
This section contains machine learning methods used in Stoneforge.