MULTI-DIMENSIONAL AND BEYOND: A NEW ERA OF GEOLOGICAL MODELLING
The time has passed for modellers to aggregate and input as much data as possible into a black-box (the computer program), and subsequently assess the model output on screen. Producing geological models has become much more sophisticated as we have become aware of the implications of incorporating low quality data (garbage in = garbage out), assuming that the modelling program is doing exactly what we expect, and that all our models can be generated using a conveyer belt approach. In short, modellers have become acutely aware of the effects of assumptions on model predictions, which can profoundly impact decisions based on the output results.
Today's models are constructed on sophisticated platforms, capable of integrating a variety of data from multiple sources to produce multi-scale, interdisciplinary models with built-in feedback mechanisms, allowing the model to adapt and evolve as additional knowledge is incorporated. Increased requirements for transparent and fully-documented modelling procedures has necessitated the development of holistic grid metadata systems to capture and store model input parameters and output statistics. It can be argued that current models are producing substantially more data than ever before, and ensuring that this information is tied back to the geology and communicated effectively has become increasingly more important.
This presentation will discuss past successes and failures of 3D geologic models, the lessons learned, and recent advances leading geological models into a new multi-dimensional era.