The energy transition and disruption in the energy supply/demand chains fueled by the combined effect of the COVID-19 pandemic and the ongoing Russia/Ukraine war have given rise to more-innovative geoscience approaches geared toward carbon-footprint reduction with efficient and sufficient energy supply despite the increasing difficulty in finding new or remaining hydrocarbon accumulations.

This year’s titles have a good mix of new frontier exploration, expanding heartlands, and brownfield-development themes. Improved seismic survey techniques, seismic image uplift, enhanced seismic attribute analysis, reservoir characterization, fracture diagnostics, mitigation of induced seismicity, and carbon capture and storage topics also are featured.

As in previous years, more achievements in machine learning and automation of seismic processing and attribute analysis on both new or existing data to redefine geological plays, improve understanding of risks and uncertainties, enhance well placement and hydrocarbon recovery, reduce cost, and increase production are worthy of note.

The selected top three papers for synopsis and those recommended for reading provide a taste of the themes mentioned above. I hope you find them as informative and transformational as I did.

Recommended additional reading at OnePetro: www.onepetro.org.

SPE 208174 Accurate Pore Fluid Indicator Prediction Using Seismic Fluid Bulk Modulus Inversion by Makky Sandra Jaya, Petronas, et al.

SPE 211627 Seismic Motion Inversion Based on Geological Conditioning and Its Application in Thin Reservoir Prediction, Middle East by Chen Xin, China National Petroleum Corporation, et al.

IPTC 22631 First Time-Lapse Walkaway Virtual Seismic Profile Monitoring of CO2 Water-Alternating-Gas Enhanced Oil Recovery Pilot: Challenges and Learnings From Onshore Carbonate Field UAE by Moza Mohamed, ADNOC, et al.

SPE 207253 4D Seismic Detectability in a Brazilian Presalt Carbonate Field by Cyril Agut, TotalEnergies, et al.

SPE 207719 Benefits of Ultradense 3D Spatial Sampling for Seismic Processing and Interpretation by Mohamed Mahgoub, ADNOC, et al.

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