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Profil bibliographique

D. Boiero

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

118Publications signalées
1885Citations signalées
0Affiliations récentes

Les domaines associés

Seismic Waves and AnalysisSeismic Imaging and Inversion TechniquesGeophysical Methods and ApplicationsGeophysics and Sensor TechnologyUnderwater Acoustics Research

Les publications récentes

2024 conference-paper OpenAlex

Multidimensional Deconvolution for Processing Non-Dense OBS Data on Rapidly Varying Seabed: a Caspian Sea Case Study

Emmanuel Saragoussi, Steven John Leake, D. Boiero, G. Miasnikova et autres

Summary Processing of ocean-bottom seismic data by deconvolution of up-down separated wavefields simplifies and improves seismic processing workflows because it attenuates surface-related multiples, compensates for spatio-temporal variations of the water velocity, and performs source designature and deghosting all in a single step. …

0 citations
2024 conference-paper OpenAlex

Rejuvenating Legacy Seismic Data as a Cost-Effective Solution for Subsurface Characterization Aimed at Renewable Energy Installations

D. Boiero, M. Clementi, Fatma Ibrahim, N. Seymour et autres

Summary Addressing climate change and achieving sustainable energy solutions demands a significant scale-up in renewable energy installations, such as large wind farms consisting of multiple wind turbines, while minimizing their environmental impact. However, constructing wind farms requires substantial resources, leading to significant …

0 citations
2024 conference-paper OpenAlex

Addressing the Challenge of Efficiency and Scale within Near-Surface Characterization Workflows Using Machine Learning

Mike W. Branston, A. Abubakar, Wenyi Hu, Haibin Di et autres

Summary The increase in the size and number of offshore windfarm license block areas requires a review of the effiency of near-surface characterisation workflows. The size of area requiring near-surface characterisation in support of the development of offshore windfarms has increased by …

0 citations
2024 conference-paper OpenAlex

Rejuvenating Legacy Seismic Data as a Cost-Effective Solution for Subsurface Characterization Aimed at Renewable Energy Installations

D. Boiero, M. Clementi, Fatma Ibrahim, N. Seymour et autres

Summary Addressing climate change and achieving sustainable energy solutions demands a significant scale-up in renewable energy installations, such as large wind farms consisting of multiple wind turbines, while minimizing their environmental impact. However, constructing wind farms requires substantial resources, leading to significant …

0 citations
2024 conference-paper OpenAlex

Addressing the Challenge of Efficiency and Scale within Near-Surface Characterization Workflows Using Machine Learning

Mike W. Branston, A. Abubakar, Wenyi Hu, Haibin Di et autres

Summary The increase in the size and number of offshore windfarm license block areas requires a review of the effiency of near-surface characterisation workflows. The size of area requiring near-surface characterisation in support of the development of offshore windfarms has increased by …

0 citations
2023 conference-paper OpenAlex

Processing OBS Data by Multidimensional Deconvolution in the Presence of a Steeply Sloping Seabed: A Caspian Sea Case History

Emmanuel Saragoussi, G. Miasnikova, D. Boiero, Andy Ashby et autres

Abstract Processing of ocean-bottom seismic (OBS) data by deconvolution of up-down separated wavefields simplifies and improves 3D and 4D seismic processing workflows because it attenuates surface-related multiples, compensates for spatio-temporal variations of the water velocity, and performs source designature and deghosting. The …

gb (code pays fourni par la source)

0 citations
2023 conference-paper OpenAlex

Multidimensional deconvolution using physics-driven prior-based rank-minimization for sparser acquisition

Ravi Ranjan Kumar, D. Boiero, Claudio Bagaini, Massimiliano Vassallo

Summary Multidimensional deconvolution overcomes the challenges of the up-down deconvolution process to produce optimal Green’s function on a seafloor with topography and sharp lateral variations. The multidimensional deconvolution process, solved using the inversion-based sparsity or low-rank-based optimization framework, as compared to the …

1 citation
2023 conference-paper OpenAlex

True-amplitude multiple prediction in sparse ocean-bottom acquisitions using a multidimensional deconvolution approach

D. Boiero, Sanjay Mahat, Claudio Bagaini, Marcela Ortin

Summary Multidimensional deconvolution can be used to predict free-surface multiples in ocean-bottom seismic without assumptions on the Earth’s dimensionality, but this comes with requirements and costs. The main requirement consists of an adequate sampling of the downgoing wavefield at the receiver surface. …

6 citations

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