Tiny seismic nodes making high density land seismic accessible to all industries.

Many may argue about the best use for Artificial Intelligence: is it in the exploration or the development of oil and gas resources? This article illustrates with case studies that AI sits comfortably in both, and forms a bridge between the two, allowing interpretation continuity.

The first outing of the world’s most sophisticated airborne gravity gradiometer has already yielded fascinating insights into the unexplored Egyptian subsurface; improving geological understanding and reducing hydrocarbon exploration risk.

The idea of the ‘digital twin’ is catching on in the oil and gas industry. But what exactly is it, and how can it help?

In 2006, a ‘moonshot’ R&D project was launched to develop interactive software for visualising and processing pre-stack seismic data and is now being used to monitor oil and gas production in producing fields.

An image-based approach for identifying pores and particles in unconventional reservoirs for planning carbon dioxide-based enhanced oil recovery and associated storage (CCS).

The experiences, lessons learned, and best practices of Chinese geoscientists working on difficult hydrocarbon reservoirs can be of benefit to others.

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.