A geologist turned reservoir engineer makes a plea to fellow reservoir engineers to use all the tools at their disposal, including studying 3D visualisations to better understand hydrocarbon reservoir simulations.

State-of-the-art imaging and visualisation techniques that enhance the experience of seismic interpreters and reveal more geological information in the subsurface.

Coupling deep learning methods with dynamic reservoir models can result in tremendous time saving and more reliable production forecasts in oil and gas production.

Salt and evaporites in general are often regarded as both an excellent seal for hydrocarbons and an operational challenge to drill through – but salt biostratigraphy can also provide a valuable source of information for geoscientists in oil and gas exploration.

Using artificial intelligence to assess hydrocarbon charge risks.

An innovative new modelling workflow for reservoir characterisation has been developed that is capable of producing an advanced 3D geomodel of any subsurface zone of interest and can identify potential sand gas or oil zones that have previously lain undetected within a producing area.

Combined optimisation of well control and well placement for the improved production of oil and gas resources.

Geophysics must change – but it must also remain meaningful.

Are we getting better at assessing geological uncertainties that underpin our economic decisions?

Geomechanics is the study of how subsurface rocks deform or fail in response to changes of stress, pressure and temperature and it is becoming increasingly important in oil and gas exploration.

To boldly go where no interpreter has gone before, getting one step closer to achieving the fully automated detection of faults in 3D seismic data.

Raman Spectroscopy enables precise reservoir rock characterisation studies and provides invaluable insight into the reservoir's heterogeneity and other fine-scaled details.

Wellsite mud logging and reservoir geochemistry results in a better reservoir characterisation in real time, improving performance and reducing costs.

Trace fossils and ichnofacies can compensate for a lack of preserved sedimentary structures in core and outcrop studies.

Solution Seeker, a Norwegian tech start-up and spin-off from the Norwegian University of Science and Technology, is developing the world’s first artificial intelligence for real-time production optimisation.