Khaled Abdelaziz, Fredrik Andersson, Laura Pointer, Johan Robertsson, Marc Rocke, Fons ten Kroode, Carsten Udengaard, Gan Yu - November 10, 2026
Thursday, November 12, 2026
Featured
Tutorial: the mechanics of waveform inversion – beyond simple isotropic acoustic
EAGE Event Report: Understanding Mobile Shales - Processes, Imaging, and Risks
VERTEX Consortium advances well technology for next-generation subsurface energy
An in-depth interview with Anton Ziolkowski: “The scope for research is immense: A wonderful life in geophysics"
Latest news
Offshore exploration activity spans three regions
BP takes operatorship of three Namibian exploration licences
Toward agile and high-resolution 4D marine seismic acquisition: On-Demand 4D monitoring, OBN hybrid operations, OBN quad-source design and resilient GNSS positioning
An in-depth interview with Anton Ziolkowski: “The scope for research is immense: A wonderful life in geophysics"
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KMG and CNOOC commence 3D seismic campaign at Kazakhstan's Caspian block
EAGE Event Report: Understanding Mobile Shales - Processes, Imaging, and Risks
Towards more cost-efficient and higher-quality sparse nodal surveys
Xcalibur Smart Mapping secures major airborne geophysical contract in Uzbekistan
Topic of the month
View more
Toward agile and high-resolution 4D marine seismic acquisition: On-Demand 4D monitoring, OBN hybrid operations, OBN quad-source design and resilient GNSS positioning
Towards more cost-efficient and higher-quality sparse nodal surveys
How the role of battery minerals in facilitating a diversified energy landscape
Peer Reviewed
View moreTutorial: the mechanics of waveform inversion – beyond simple isotropic acoustic
Does the attribute even matter? A critical evaluation framework for channel stratigraphy
Regression-based 3D Convolutional Neural Network for Fault Throw Estimation
Is it too loud? Approximations for underwater noise impact assessments and reporting for high-resolution seismic surveys
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Improving subsurface image based upon dip-guided Fresnel volume migration
Unsupervised seismic waveform classification
Fluid type prediction from seismic data using machine learning: A workflow from well logs to seismic recognition
Application of Teager-Kaiser energy and variation attributes to Sleipner 4D seismic data
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