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.

The oil and gas industry has everything to gain from high-quality structural maps and this article from Dr. Francis Richards aims to tell you just how to generate the best structural maps.

This interactive core logging software can be used on tablet devices in the lab itself enabling an efficient 'quick-start' routine core analysis experience.

Turbidite slope channel deposits pose many challenges during exploration and development planning. Spectacular exposures in southern Chile provide useful insights in predicting sandstone distribution and connectivity in these complex reservoirs.

Reservoir lithology and fluid properties can be characterized using seismic, CSEM and rock physics.

A low-resolution rock physics framework relating CSEM-derived Rn measurements to reservoir properties can provide precise property estimates even in high-uncertainty settings.