Principles of 3D Computer Modelling

Trainer(s): Janpieter van Dijk
Duration: 5 days

Business content

The course provides an overview of the State of the Art in Computer Modelling, going through the classical 3D subsurface Modelling, highlighting the basics of geomathematics and computer programming languages, into principles like Shared Earth Modelling, Big Data Management, Cloud Computing, VR, Enhanced Reality, Artificial Intelligence, and Digital Twins, for technical people and management, to prepare for the New Era of Sustainable Energy Generation.

Who should attend?

Technical staff, Technical Leaders, SME, Team Leaders, Project Managers but also Department Managers in Geosciences, Data management, Geologists, Geophysicists and Reservoir Management in O&G, Geothermal Energy Generation and CCUS.

Day by day programme

Part 1 - Overview of the Role of 3D Computer Modelling in the New Era of Sustainable Energy

Part 2 – Applied Physics, Chemistry, and Mathematics for 3D Computer Modelling and data management

Part 3 – Programming Languages, Hardware and Software, the Internet of Things

Part 4 – 3D Geoscience: Modelling Environments, SEM, DT, VR, ER, AI

Part 5 – Group Exercise of Building a 3D model and Close Out Session.

Course content

After an introduction in the principles and frameworks of the world of 3D computer modelling, the course first goes into the basics of 3d geomathematics in the framework of Physics, Chemistry and Natural Sciences, and the principles and backgrounds of green IT, cloud computing, algorithms and computer languages. After that, 3D working environments will be discussed which are the classical SIE for seismic mapping and prospect generation and the building of static and dynamic reservoir models, and their relationships with CAD and GIS. Here we go dive into the world of DEM, DTM, TIN, Voxel and Tetrahedral grids, Nurbs, fuzziness, and many more concepts of 3D modelling. In the last part the connections will be established with the New Era where concepts like Shared Earth Modelling, Digital Twins. Deep Machine Learning, Neural Networks, Artificial Intelligence, Virtual Reality and Enhanced Reality will be discussed. Workflows will be explained to efficiently link GIS, CAD, and other 3D Environments, and BIM and digital twins for Geoengineering, 3D scanning, and 3D Printing. The Hardware, Software and databases involved will extensively be discussed, travelling through the Internet of Things. Geophysical data acquisition operations are highlighted such as NMR, UAV, and Satellite Acquisitions, Robotics, Cybernetics, etc. The principles of forward and backward modelling and Computer Simulations, kinematics and dynamics, in areas such as Tectonics, Geomechanics, Sedimentology and Stratigraphy and Basin Modelling, but also Production and Facility Management will be tackled. Participants will be actively involved with exercises on case studies and reporting, both individual and in groups, will work with freeware and an extensive course documentation will be provided.