The traditional approach to building 3D reservoir models is due a radical change.
This is because, as an industry, there is growing recognition that models often do not predict well,
and, in fact, can be seriously wrong which results in costly and poor decisions.
However, as soon as we openly admit that models are not instruments for seeing the future, how can we defend model building at all.
Fundamentally, how can we make models “useful” even if we know they are “wrong”?
Come and meet us at this focused workshop organized by the Geological Society
where we can discuss software tools, workflows, and case studies to illustrate the paradigm shift required to take history matching
from its traditional context into a fundamental model uncertainty propagation step.
