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Elastic full-waveform inversion (FWI) is now emerging as an industrial tool for the compressional velocity (Vp) model build, driven mainly by diving and reflected P waves. On the other hand, the inversion of S waves in elastic FWI to update shear velocity (Vs) models is more challenging due to the limitations of data acquisition and reduced sensitivity of surface seismic to Vs. In this paper, we propose a practical methodology for low-wavenumber Vs updates by elastic FWI, driven mainly by converted waves in multi-component ocean-bottom seismic data.

We present AI-drive workflow for automatic interpretation of large seismic volumes. The workflow is applied to an offshore Abu Dhabi area of 15000 km2. First, we show the fault detection results for the low-magnitude faults of strike-slip type by the fine-tuning of the DNN.

Fracture characterisation is a key factor for reservoir production optimization. Velocity Variation with Azimuth (VVAz) and Amplitude Variation with Azimuth (AVAz) are the main technologies currently used in the industry for azimuthal anisotropy characterisation, whether it is fracture- or stress-induced, from PP seismic data. These two technologies have their respective strengths and limitations and are often used separately to predict the reservoir fracture networks. In this paper, a joint azimuthal velocity and amplitude inversion workflow is presented to characterise the fracture orientation and intensity of a Middle East offshore carbonate reservoir using a high density WAZ OBC 3D seismic survey.

To coincide with ADIPEC 2024 Karim Lassel discusses Viridien’s bold rebrand and its commitment to drive innovation for the energy industry.

Viridien's exclusive data acquisition, aggregation, and harmonization covering almost 60,000 km2 of land, the Southeast Arizona project area is southeast of Phoenix, bordering Mexico and New Mexico. It is the ultimate dataset to explore southeastern Arizona’s proven and potential mineral resources.

The mining industry faces unprecedented hurdles; these challenges can be met with the right geoscience data and digital technologies. Viridien's geophysics, satellite mapping and digital transformation paving the way for important mineral discoveries.

We describe how FWI Imaging results from existing, raw, conventional 3D seismic data, can be used as a rapidly available 3D alternative to dedicated site surveys or supplementary dataset to help improve understanding of the shallow subsurface.

Traditional petrographic analysis of rock thin sections is time consuming, it is potentially subjective, may suffer from operator bias, and the results are not necessarily representative of the bulk rock sample. The challenge to automation of petrographic description is the complexity that is inherent to geology; sedimentary rocks often contain many types of grains, cements, and pores. Here, we present a machine learning solution to automatically characterize minerals and grains in rock thin sections on a whole slide basis.

This study demonstrates how a high-end 3D seismic survey can generate new insights within a frontier basin such as the Deepwater Zambezi Delta in Mozambique and uncover hidden facets of basin evolution. Observations from high-resolution seismic imaging integrated with potential fields data have helped demarcate crustal domains of the Northern Beira High and Zambezi Delta Depression.