Among other objectives, the FP7-IMAGE project aims to understand “the processes and properties that control the spatial distribution of critical exploration parameters”. Such an understanding would help reducing the uncertainty on the localization of the geothermal resource, and hence, mitigating the pre-drill risk. In the framework of the improvement of exploration methods, the numerical modeling of physical processes provides useful tools in order to more accurately locate the geothermal resources. Indeed, the understanding of physical processes in a specific geodynamic system, such as fluid flow, heat transport and tectonic stresses distribution, as well as their interactions, is fundamental in order to predict the location of favourable conditions and, moreover, to explain why they are favourable. To do that, the numerical models deal with description of the geodynamic context at different scales, from the regional scale to the more local scale. The information leading to delineation of preferential target areas (i.e., areas where the resource has best chances to be located) should be collected from various disciplines such as, e.g., geology or geophysics. This information can originate from in situ data and/or predictions of analytical/numerical models, in order to improve the confidence in the predicted locations by cross-checking. In the combination and integration, we focus on various aspects Combine results on predicted parameters in an integrated 3D framework and apply multi-criteria assessment on these parameters to find favourable zones Partially coupled models (Thermo, Hydro and/or Mechanics) based on physical integration of previous local models. Dynamic models or inclusion of fracture related -fluid dynamic and mechanical aspects constitutes a significant improvement in the assesment of key properties which are critical to exploration succes, including temperature and permeability. The merits of the new workflow through comparison of performance by adopting standard and improved prediction ...