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In recent years, the Brazilian presalt characterization has been a challenging task, either because of the imaging problems associated with complex salt layer geometry (Penna et al., 2019) or due to large heterogeneity in the presalt carbonates reservoir (Oliveira et al., 2018). Some efforts to address these challenges include full-azimuthal acquisitions technologies (nodes acquisition) and new processing techniques and studies to better understanding the geological model. Recent multi-azimuthal seismic data acquisition provides not only better seismic imaging, but also fractures properties through velocity and amplitude changes with azimuth variation, providing a better spatial characterization of the fracture system. We present an azimuthal elastic seismic inversion (Roure et al., 2012) in a Nodes presalt reservoir data, addressing the local fracture system characterization. Fracture parameters are described in terms of the normal and tangential weakness plus fracture strike. Prior to the inversion, an azimuthal seismic preconditioning has also performed on the seismic dataset to attenuate the imaging problems in the reservoir interval and consequently improving the signal-to-noise ratio providing better estimates of the properties of interest. Fracture characterization studies commonly integrates borehole image logs, core data and well test, usually restrict to specific areas around drilled wells. In some cases, tridimensional fracture models are created through geostatistical modelling constrained by seismic attributes. However, those are indirect measures of fractures, with high associated uncertainties. Recent multi-azimuthal seismic data acquisition provides not only better seismic imaging, but also fractures properties through velocity and amplitude changes with azimuth variation, providing a better spatial characterization of the fracture system. We present an azimuthal elastic seismic inversion (Roure et al., 2012) in a Nodes presalt reservoir data, addressing the local fracture system characterization. Fracture parameters are described in terms of the normal and tangential weakness plus fracture strike. Prior to the inversion, an azimuthal seismic preconditioning has also performed on the seismic dataset to attenuate the imaging problems in the reservoir interval and consequently improving the signal-to-noise ratio providing better estimates of the properties of interest.

Short period multiple prediction for land data is challenging due to poor imaging of the shallow multiple generators as well little information about the down-going reflection at the weathering layer. Based on multiple imaging of the shallow section, surface-related wave-equation deconvolution has been used in recent years to improve multiple prediction in such areas. We improve the accuracy of wave-equation deconvolution to include an angle dependency of the multiple generator reflectivity. In addition, we modify the approach to handle internal multiple predictions where the lower-generator is provided by surface-related wave-equation deconvolution, and the upper-reflectivity is derived through least-squares inversion. The combined benefit of these two approaches is demonstrated on a land dataset from south Oman.

We discuss challenges of Distributed Acoustic Sensing (DAS) data in a Vertical Seismic Profile (VSP) setting and propose processing and imaging solutions to overcome these. The context is to review processing challenges and benefits of DAS VSP as a potential cost-effective solution for CO2 storage monitoring. DAS VSP data acquired during a monitor surface seismic acquisition over the Johan Sverdrup field in 2021 provides the means to assess this, with both learnings and uncertainties from this study informing on the potential of this technology in other geological settings. Here, an initial feasibility assessment conducted using a baseline and repeat monitor survey, acquired a few weeks later, indicated the achievable levels of repeatability with this data type. An inclusive pre-processing flow and use of both up-going and down-going wavefields in a tailored imaging routine showcases the level of subsurface illumination and high signal-to-noise levels for 3D reservoir imaging. Finally, subsequent CO2 modelling work provides an understanding of the potential of DAS VSP surveys for future 4D monitoring work for conventional or un-conventional reservoir monitoring

CGG announced today that Sercel has launched its next-generation 528TM land acquisition system and VE564TM vibrator electronics to improve recording capacity, reliability, productivity, and data fidelity to meet the latest challenging survey requirements.

CGG announced today that Sercel has launched its next-generation 528TM land acquisition system and VE564TM vibrator electronics to improve recording capacity, reliability, productivity, and data fidelity to meet the latest challenging survey requirements.

In order to solve the challenges of imaging the shallow reservoirs of the Barents Sea, CGG, in collaboration with Lundin Norway, have developed an innovative source-over-spread acquisition solution, known as TopSeis. This addresses the lack of near-offset data recorded in conventional towed-streamer acquisition by enabling recording of short and zero-offset data with a split spread, significantly increasing the illumination density of the subsurface. This article looks at the development of this technique with some recent results, including AVO.

CGG has been selected by the French government as a technical partner to support the LiMongolia project, a joint initiative by the NGS and the BRGM, to evaluate the regional prospectivity of Mongolia for critical minerals, particularly uranium and lithium.

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