Rock Physics Model Constrained Viscoacoustic Full Waveform Inversion for Saturation and Porosity Estimation
Saturation and porosity are important indicators for the quantitative assessment of reservoir fluids. With the progress of seismic inversion methods, reconstructing saturation and porosity from seismic elastic parameters has become one of the most effective approaches. Theoretically, full waveform inversion (FWI) is the highest resolution method to reconstruct elastic parameters, and selecting appropriate parameters can enhance the accuracy of fluid monitoring. For partially saturated rocks, both P-wave velocity (Vp) and attenuation are sensitive to variations in fluid saturation and porosity. As a result, we can estimate the fluid state by inverting Vp, quality factor (Q), fluid saturation, and porosity. We propose a rock physics model constrained viscoacoustic FWI (RP-QFWI) method to estimate the fluid saturation and porosity directly from seismic records. Specifically, we use the extended Gassmann equation to constrain viscoacoustic FWI (QFWI). We evaluate the performance of RP-QFWI using the classic Frio-II CO2 injection model, a CO2 injection model based on an oil field, as well as a field seismic data. The results indicate that, for elastic parameters, the rock physics prior constraints improved the inversion accuracy and stabilized the inversion of weak parameters Q. For reservoir parameters, combining the two-step process into a single inversion method fully exploits the information in the seismic data, leading to more accurate inversion results.
Authors
- Chao Huang (ORCID: https://orcid.org/0000-0003-0800-7429)
- Luanxiao Zhao (ORCID: https://orcid.org/0000-0001-5581-2493)
- Yuzhu Liu (ORCID: https://orcid.org/0000-0001-7848-9975)
- Liangguo Dong (ORCID: https://orcid.org/0000-0002-8482-4730)
- Yifan Zheng (ORCID: https://orcid.org/0009-0000-1724-8932)
Institutions
- Tongji University (CN)
Publication Details
- Journal
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tgrs.2025.3597976
- Primary Topic
- Seismic Imaging and Inversion Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities