Field-based, high-resolution sedimentological investigations supported by large-scale photopanels and thin-section analysis to provide a conceptual model integrating the various environments encountered as well as architectural and sedimentological variations of the deposits of interest. invisibletext
Making use of UAV-based photogrammetric techniques and innovations in virtual outcrop interpretation softwares, the field-based investigations can be integrated translated into high-resolution, geospatial data that can be further integrated into conventional modelling platforms (e.g. Petrel™). invisibletext
Multi-Point Statistics (MPS) is used to provide avenues able to translate high-resolution architectures and geometries observed in the field into data that is usable in stochastic modelling workflows, thereby offering a bridge between conceptual sedimentological model and numerical modelling. invisibletext
In subsurface studies, reservoir-forming geobodies typically have dimensions that fit between the resolution of investigation of well and seismic scales. Therefore, accurate representation of geobodies architectures, heterogeneities and geometries is challenging. The workflow proposed in this project aims at extracting large, high-resolution datasets from outcrop analogues and integrate those data into a standard modelling workflow through the use of virtual outcrop models in order to bridge the resolution gap and improve interpolation during the modelling process.
Thanks to the democratization of UAVs, it is nowadays cheap and fast to acquire a set of high-resolution, georeferenced pictures of an outcrop, to the scale of several kilometers in width and hundreds of meter in height. The emergence of performant tools for the processing and interpretation of virtual outcrops allows for the development of quantitative datasets based on fit-for-purpose analogue studies.