Technical Library

This paper presents a novel acquisition design and image processing using the latest Multi-Parameter Full Waveform Inversion technology (MP-FWI). The acquisition was optimized to capture the required...

Implementing advanced geophysical processing techniques for valuable interpretation insights in frontier environments and challenging data environments.

We introduce a deep learning workflow that uses Fourier Neural Operators (FNOs) to estimate velocity models from field data with minimal pre-conditioning. Compared to convolutional Neural Networks...

Advanced towing configurations which combine distributed multi-sources with dense multi-sensor streamer spreads have been frequently used for hydrocarbon exploration in recent years. These...

Screening, identifying, and characterizing a CCS site is of paramount importance as the sector faces considerable challenges in delivering sufficient capture and storage capacity to meet stated...

Neptune Energy Norge and PGS present a rejuvenation project over the Fenja Field in the Norwegian Sea. Reservoir-oriented processing, supported by cooperation and knowledge sharing, helped to improve...

Before data from the multisensor streamers records are combined, it is essential to attenuate the noise from both records to ensure the creation of high-quality up- and down-going wavefields. In...

Imaging of complex faulted structures requires the most advanced imaging algorithm that handles multipathing, an accurate background velocity model for correct structural positioning and an element...

We describe a family of digital transformation initiatives that collectively are allowing us to simultaneously optimize marine seismic survey performance and fuel consumption through the real time...

Full Waveform Inversion (FWI) requires the minimization of a highly non-linear objective function which makes the inversion suffer from cycle-skipping. To overcome this issue, we need to have an...