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All Journal Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics
Purba, Humbang
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Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics

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Physics-Guided Multi-Attribute Petrophysical Inversion for Quantifiying Acoustic Impedance and Porosity in the F3 Reservoir Rahman, Fadhlur; Haris, Abdul; Ralanarko, Dwandari; Purba, Humbang; Rulandoko, Wrahaspati; Riyadi, Praditio; Nafian, Muhammad
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.7, N
Publisher : Physics Study Programme, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v7i2.47186

Abstract

This study introduces a physics-guided multi-attribute inversion (PG-MAI) approach to estimate acoustic impedance and porosity from post-stack seismic data using Bayesian Ridge Regression. The method integrates ten seismic attributes—including amplitude, frequency, and geometric features—into a regularized linear regression framework with Bayesian formulation. Applied to the F3 Block in the Dutch North Sea, the workflow includes temporal upsampling, attribute extraction, and model calibration using two well logs. The inversion results demonstrate high spatial coherence and alignment with geological structures. Validation at both wells shows strong agreement between predicted and measured log values, with correlation coefficients exceeding 0.90 for both acoustic impedance and porosity. Zones of low impedance and high porosity correspond to interpreted deltaic sands and lobate geometries, reflecting the facies heterogeneity of the F3 depositional environment. These outcomes suggest that the inversion framework effectively captures lithological variability, making it valuable for reservoir delineation in similarly complex siliciclastic systems.
Co-Authors A.S, Rosie Abdul Haris Aryanto, Muhamad Defi Basundara, Argya Basundara, Argya H Darsono Darsono Diria, Shidqi Anugrah Fadhlur Rahman, Fadhlur Hibatullah, Muhammad Irsyad Julikah, Julikah Nafian, Muhammad Pakpahan, Henry Julois Prasetyo, Bagus D R.A, Saputro Ralanarko, Dwandari Riyadi, Praditio Riyadi, Pradityo Rulandoko, Wrahaspati Simarmata, Krisdanyolan Sudrazat, Sthevanie Dhita Suprajitno Munadi Tampubolon, Ricky Andrian Trivianty, Junita Wardhana, Sanggeni Gali Waskito Pranowo Wijaksono, Egie