Machine learning in oil and gas exploration and production has successfully begun to scale up from pilots to specific and bespoke industrial solutions – but must remain grounded in the real world.

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.

Full Tensor Gravity GradiometryTM (FTG) has entered a new era with multiclient acquisitions.

PETRONAS and PetroEDGE have embarked on a project to bring favourite geological field trip locations to a wider audience.

A utility that can rapidly report key parameters about a 3D post-stack seismic dataset has been launched by Troika International.

Can a CSEM-supported exploration program increase the chance of success for a prospect portfolio by distinguishing between low and high saturation commercial hydrocarbons?

A novel seismic DHI technology using resonance and dispersion to indicate for liquid hydrocarbons is making inroads in the E&P industry, successfully identifying oil and predicting dry wells. Could this find the pot of black gold at the end of the rainbow?

Vertical CSEM technology identifies new potential for undiscovered volumes around the Gjøa field in the North Sea.

At the heart of the ‘Shale Boom’ in the US is the increased use of water for hydraulic fracturing of oil and gas wells – but how do we safely reuse or dispose of the waste water?

In the upstream oil and gas industry, digital transformation is changing how companies do business. According to Booz Allen Hamilton (December 2018), digital transformation of E&P proprietary data could save the industry as much as $1 billion each year while boosting hydrocarbon production by up to 8%.

A new focus on innovation, technology and collaboration for the advancement of marine seismic acquisition is developing.

The key to all seismic interpretation is the interpreter’s experience and knowledge, so why should artificial intelligence change that? The reality is, it shouldn't.

Some thoughts on the future of marine towed streamer seismic acquisition for offshore oil and gas exploration.

How sharp are the technologies in the hydrocarbon pre-drill prediction toolbox for calculating the Geological Chance for Success (GCOS) 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.