Meet ARLAS. With nearly 2 million wellbores digitized throughout North America, the largest commercial digital log library in the world, TGS has developed machine learning algorithms that predict missing curve responses in today's digital well log data. TGS can successfully predict curve response in five key curve types: Gamma, Resistivity, Density, Neutron and Sonic. With accuracy rates well into the high 90% range for most curves, the data coverage and accuracy are unprecedented.
To see ARLAS in action, explore our demos below. For a live demo, please contact us at firstname.lastname@example.org.
Select Build ARLAS to see how machine learning can fill in the missing intervals in the curves.
Select one or more curves to Delete & Build ARLAS.
Select a line to see the curves on the selected cross section built from ARLAS.
Examine each curve's cross section to see the dramatic improvement machine learning can bring to the analysis and interpretation workflow. Move the slider left or right to compare.