Panel Session

Relevance of geoscience proficiency within highly digitalized reservoir modeling workflow

Over the past few decades, there has been a tremendous advancement in digitalizing the geoscience workflows and the advent of automated interpretations. The reservoir Modeling discipline is not immune to these changes and has been continuously updating itself to incorporate the new ways of working within digital workspaces to characterize the reservoirs and quantify the barrels. However, while adopting these changes, are we sub-consciously alienating the core geoscience inputs and relying more on what the machine tells us, while creating the subsurface models? How often do we refer to the underlying geological architecture while modeling a petrophysical property like permeability in 3-dimensions? How do we ensure that the digital and automated workflows, which are immensely fast computing techniques, will still allow the good old quality control of the multi-million cells reservoir models through a deep and thorough understanding of sedimentology, maps, and geo-seismic cross-sections? While the industry progresses to characterize and develop more complex and challenging reservoirs, in deeper frontiers and tighter rocks, the geoscience and digital workflows need to create a symbiotic bond and co-exist and complement each other to an extent not envisaged earlier. At the same time, we need to ensure our next generation of reservoir modelers are adequately proficient to needle out the data from the noise, from a fundamental geoscience perspective, while utilizing the latest advanced digital workflows and tools.

Moderator

Satyashis Sanyal, PETRONAS

Principal (Reservoir Geology)

Panelists

Colin Daly, Schlumberger Information Solutions

Advisor - Modeling 

Sebastien Strebelle, Halliburton Landmark

Chief Product Manager/Domain Owner for Earth Modeling

Arnaud Fournillon, Beicip-Franlab

Geologist / Sedimentologist

Matthew Jackson, Imperial College London

Professor in Geological Fluid Mechanics and Director of Research in the Department of Earth Science and Engineering