First Break - Volume 41, Issue 10, 2023

The Brazilian pre-salt comprises giant oil fields with high productivity carbonate reservoirs. Petroelastic modelling is an important tool for seismic interpretation. It uses rock physics models to estimate the elastic properties from petrophysical and compositional information and may be applied to forecast reservoir elastic behaviour from conceptual geological models as well as to estimate petrophysical properties from seismic elastic inversion results. We discuss the application of three rock physics models to pre-salt rocks from the Santos Basin: Stiff sand model (SSM), Vernik-Kachanov model (VKM) and Differential Effective Media (DEM). The results show that these three models perform very well in predicting reservoir elastic properties. We believe that the choice of a particular model can be based on the available parameters and on the desired application.

Reducing carbon emissions and minimising land disturbances are key motivators to use innovations for onshore seismic acquisition. Seismic Mechatronics B V, through its fully battery-powered electric seismic source, has now enabled zero carbon-emission from vibrators and project vehicles during seismic acquisition with minimal disturbance on land. It recently proved this in a seismic survey in a noise-limited zone at the border of the Netherlands and Belgium. Being able to minimise environmental impact and to acquire higher-quality results in an environment with a challenging sub-surface made this project a success. This article compares the results achieved by one Storm10 eVibe in combination with STRYDE autonomous nodes, operated with zero carbon-emissions, to results obtained in mid-2022 using three conventional Mertz M12 diesel powered Vibroseis trucks in combination with Sercel WiNG nodes. We demonstrate that even with challenging operational conditions, the results achieved with the eVibe are superior for both the near-surface and deeper subsurface.

MDIO offers a technical solution for storing and retrieving energy data in the cloud and on-premises. As an open-source framework, it incorporates high-resolution, multi-dimensional arrays that accurately represent wind resources and seismic data for multiple applications. By utilising the Zarr format, MDIO ensures efficient chunked storage and parallel I/O operations, facilitating easy data interaction in diverse infrastructures. This paper covers MDIO’s application in renewable energy (wind simulations), predictive analytics, and seismic imaging and interpretation, aiming to provide a robust technical platform for researchers navigating the evolving energy landscape.