We will review different tools at the jet-substructure level to study Semi-Visible Jets (SVJs), formed by the decay of an intermediate massive Z' boson. We characterise the leading jet using substructure metrics such as the Energy Mover's Distance (EMD) function, Energy-Energy Correlation Functions (EECs) and the Lund Jet Plane (LJP) as kinematical features. We also quantify the distribution of the missing transverse energy (MET) of the global event and the azimuthal angle of it respect to the leading jet. The objective of these studies is to look for informative kinematical features to design a suitable Machine Learning (ML) model.