The merging of large, mixed legacy 3D seismic datasets, its history and why it makes sense in the UKCS.

Defining a new Upper Cretaceous play in the West of Shetland using seismic inversion.

The evolution of Airborne Gravity Gradiometry (AGG) for oil and gas exploration.

How can oil field geosciences be used in the exploration of seabed mineral deposits?

Ray-based seismic modeling has come a long way and the motivation for this is simple enough: performing a modeling study is significantly cheaper than failing in the field!

In what ways can geophysics be said to add value to society, economic systems and the environment?

Benefits of seismic forward modelling: mitigating risk is always a focus within the oil and gas industry but it becomes even more crucial in these times, with an ongoing pandemic and ensuing low oil price.

2D and 3D seismic data are major sources of information in the oil and gas industry, as well as for geothermal energy activities, carbon sequestration in geological reservoirs and offshore wind energy. In this short article we will cover the basics of seismic horizon interpretation and how this is used to obtain stratigraphic information.

Controlled Source ElectroMagnetic (CSEM) is a proven technique that has a strong future in helping solve certain oil and gas exploration and production challenges, especially when seismic data alone cannot provide a satisfactory answer.

The evolving role of seismic reflection data within offshore site investigation.

The modern vibroseis is a complex, delicately tuned machine. The shaking gets translated into seismic data to provide insights into the subsurface for oil, gas and resource exploration.

Geophysics must change – but it must also remain meaningful.

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

A Minute to Read: Rock Physics Technology AS take the next step in reservoir characterisation with their own innovative Inverse Rock Physics Modelling method for rock physics driven quantitative seismic interpretation.

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.