A spatial estimation model for continuous rock mass characterization from the specific energy of a TBMA spatial estimation model for continuous rock mass characterization from the specific energy of a TBM Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-11-052008enBasic principles of the theory of rock cutting with rolling disc cutters are used to appropriately reduce tunnel boring machine (TBM) logged data and compute the specific energy (SE) of rock cutting as a function of geometry of the cutterhead and operational parameters. A computational code written in Fortran 77 is used to perform Kriging predictions in a regular or irregular grid in 1D, 2D or 3D space based on sampled data referring to rock mass classification indices or TBM related parameters. This code is used here for three purposes, namely: (1) to filter raw data in order to establish a good correlation between SE and rock mass rating (RMR) (or tunnelling quality index Q) along the chainage of the tunnel, (2) to make prediction of RMR, Q or SE along the chainage of the tunnel from boreholes at the exploration phase and design stage of the tunnel, and (3) to make predictions of SE and RMR or Q ahead of the tunnel’s face during excavation of the tunnel based on SE estimations during excavation. The above tools are the basic constituents of an algorithm to continuously update the geotechnical model of the rock mass based on logged TBM data. Several cases were considered to illustrate the proposed methodology, namely: (a) data from a system of twin tunnels in Hong Kong, (b) data from three tunnels excavated in Northern Italy, and (c) data from the section Singuerlin-Esglesias of the Metro L9 tunnel in Barcelona.http://creativecommons.org/licenses/by/4.0/Rock Mechanics and Rock Engineering416797-834 Exadaktylos Georgios Εξαδακτυλος Γεωργιος Stavropoulou, Maria Xiroudakis Georgios Ξηρουδακης Γεωργιος Broissia, Marc ˜deœ 1945- Schwarz H. Springer Verlag Rock cutting Geostatistics Kriging TBM RMR Q, specific energy