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All Journal Journal of Geoscience, Engineering, Environment, and Technology
Nurrochmah, Andryana Miftah
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Earth & Planetary Sciences Engineering Environmental Science Physics

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Seismic Multiattribute Application for Porosity Distribution at F3 Block, North Sea Nurrochmah, Andryana Miftah; Herawati, Ida
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24297

Abstract

Reservoir characterization is essential in hydrocarbon exploration to understand subsurface properties, with porosity being a key indicator of storage capacity. This study focuses on mapping porosity in the FS8 interval of the F3 Block, North Sea, using a linear multi-attribute seismic approach. Post-stack seismic and well log data from four wells were utilized. A cross-plot of acoustic impedance (AI) and porosity logs shows a strong correlation, suggesting AI can be a useful attribute in the analysis. Acoustic impedance volumes were generated through model-based inversion, and a set of seismic attributes was selected using a stepwise regression method. The selected attributes—acoustic impedance, filtered impedance, amplitude envelope, and integrated absolute amplitude—were used to predict porosity values across the seismic volume. Cross-validation shows high correlation coefficients (training: 0.861; validation: 0.824) and low prediction errors (5.2% and 5.8%, respectively), indicating robust prediction accuracy. The resulting porosity distribution map reveals a spatial trend, with higher porosity in the shallower western area and lower porosity in the deeper eastern area.
Seismic Multiattribute Application for Porosity Distribution at F3 Block, North Sea Nurrochmah, Andryana Miftah; Herawati, Ida
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24297

Abstract

Reservoir characterization is essential in hydrocarbon exploration to understand subsurface properties, with porosity being a key indicator of storage capacity. This study focuses on mapping porosity in the FS8 interval of the F3 Block, North Sea, using a linear multi-attribute seismic approach. Post-stack seismic and well log data from four wells were utilized. A cross-plot of acoustic impedance (AI) and porosity logs shows a strong correlation, suggesting AI can be a useful attribute in the analysis. Acoustic impedance volumes were generated through model-based inversion, and a set of seismic attributes was selected using a stepwise regression method. The selected attributes—acoustic impedance, filtered impedance, amplitude envelope, and integrated absolute amplitude—were used to predict porosity values across the seismic volume. Cross-validation shows high correlation coefficients (training: 0.861; validation: 0.824) and low prediction errors (5.2% and 5.8%, respectively), indicating robust prediction accuracy. The resulting porosity distribution map reveals a spatial trend, with higher porosity in the shallower western area and lower porosity in the deeper eastern area.
Co-Authors Herawati, Ida Ida Herawati