Sorry, you need to enable JavaScript to visit this website.
Menu
Login

Technical Content

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Celine Lacombe, Issa Hammoud, Jeremie Messud, Hanyuan Peng, Thibault Lesieur, Paulien Jeunesse ©2021 EAGE | May

Convolutional based deep neural networks can be used in addition to existing workflows, to improve turnaround or as a ‘guide’ for further processing. Whilst a lot of effort has been made to try to improve the DNN architecture for processing tasks or to understand ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Mathieu Chambefort, Jeremie Messud ©2020 EAGE | May

Learning how to best mimic seismic processing algorithms or workflows with deep learning (DL) has become a very active field of research. However, seismic processing own particularities may necessitate adaptations of current DL methods. In this paper, we explain and illustrate how the different ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Nabil Masmoudi, Andrew Ratcliffe, Min Wang, Yi Xie (CGG) ; Tengfei Wang (Tongji University) ©2021 EAGE | May

Depth imaging of converted-wave (P-to-S) ocean-bottom seismic (OBS) data requires a depth model for both the P- and S-wave velocities. Building the S-wave velocity model is very challenging: conventional techniques include PP and PS image registration, or joint PP and PS tomography. These approaches ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Peipei Deng, Min Wang, Zhonghuan Chen, Keat Huat Teng, Barry Hung (CGG) ; Y. Kim, K. Lee, C. Jeong, S. Oh, H. Choi, S. Kim (SK innovation), F. Huang, M. Luo (CNOOC) ©2020 EAGE | May

Carbonate velocity model building is challenging due to the complex geometry and sharp velocity contrasts associated with carbonates. Full-waveform inversion (FWI), together with long offsets, wide azimuth and good low frequency data, is known to be a powerful tool to address these challenges. Unfortunately ...

Industry Article
First Break. | Chin Hang Lun, Thomas Hewitt, Song Hou ©2022 EAGE | February

Each year the geoscience industry creates huge volumes of documents containing a wealth of knowledge which cannot be easily queried or extracted. Key to the successful extraction and transformation of data is an understanding of the nature of the data that exists within a ...

Industry Article
First Break. | Vetle Vinje, Hao Jiang, Nicolas Salaun (CGG) ; Jan-Erik Lie, Per Eivind Dhelie, Vidar Danielsen (Lundin Energy Norway AS) ©2022 EAGE | February

Based on an extensive 3D modelling study utilising full-wavefield Finite-Difference modelling and Full-Waveform Inversion (FWI) we demonstrate that the TopSeis/OBN hybrid acquisition acquired from May to August 2021 in the Nordkapp basin in the Barents Sea has the potential to image salt flanks and ...