Pore-Scale Remaining Oil Characterization by Integrated Online NMR and Micro-CT
4 affiliations
- 1State Key Laboratory of Offshore Oil and Gas Exploitation , ,
- 2CNOOC Research Institute Ltd. , ,
- 3CNOOC (China) Tianjin Branch , ,
- 4COSL Oilfield Production Research Institute , ,
Abstract
An integrated online nuclear magnetic resonance (NMR) and microcomputed tomography (micro-CT) workflow was established to characterize remaining oil mobilization in water-flooded heavy-oil porous media at the pore scale. NMR enabled quantitative tracking of oil-phase depletion across distinct pore-throat intervals via a transverse relaxation time (T2)–pore-throat radius conversion relationship, while micro-CT provided direct spatial and morphological identification of remaining oil. For the investigated cores, the power-law calibration provided better agreement with the mercury-intrusion pore-throat distributions than the linear counterpart. Core permeability, oil viscosity, and displacement velocity collectively govern the extent and location of remaining oil mobilization. With increasing permeability, the dominant mobilized pore-throat interval shifts from small–medium throats, 1–20 μm, to medium–large throats, 20–40 μm and above. CT-derived oil displacement efficiencies showed trends generally consistent with the NMR-based evaluation and further revealed that extended high-pore-volume water flooding and late-stage flow acceleration could still mobilize a portion of the remaining oil, albeit with diminishing incremental recovery. This integrated approach bridges the gap between pore-size-resolved quantification and three-dimensional spatial evidence, offering a robust framework for evaluating remaining-oil potential after prolonged water flooding in heavy-oil reservoirs.
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BibTeX
@article{liu2026porescale,
title = {{Pore-Scale Remaining Oil Characterization by Integrated Online NMR and Micro-CT}},
author = {Chen Liu and Ben Liu and Wensheng Zhou and Shoucheng Liang and Yue Gao and Guorui Xu and Fei Wang and Xiaoxiao Li},
journal = {ACS Omega},
year = {2026},
month = oct,
doi = {10.1021/acsomega.6c08334},
url = {https://pubs.acs.org/acsodf/article/doi/10.1021/acsomega.6c08334/5460417/Pore-Scale-Remaining-Oil-Characterization-by},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Pore-Scale Remaining Oil Characterization by Integrated Online NMR and Micro-CT
AU - Chen Liu
AU - Ben Liu
AU - Wensheng Zhou
AU - Shoucheng Liang
AU - Yue Gao
AU - Guorui Xu
AU - Fei Wang
AU - Xiaoxiao Li
PY - 2026
DA - 2026/10/28
JO - ACS Omega
DO - 10.1021/acsomega.6c08334
UR - https://pubs.acs.org/acsodf/article/doi/10.1021/acsomega.6c08334/5460417/Pore-Scale-Remaining-Oil-Characterization-by
AB - An integrated online nuclear magnetic resonance (NMR) and microcomputed tomography (micro-CT) workflow was established to characterize remaining oil mobilization in water-flooded heavy-oil porous media at the pore scale. NMR enabled quantitative tracking of oil-phase depletion across distinct pore-throat intervals via a transverse relaxation time (T2)–pore-throat radius conversion relationship, while micro-CT provided direct spatial and morphological identification of remaining oil. For the investigated cores, the power-law calibration provided better agreement with the mercury-intrusion pore-throat distributions than the linear counterpart. Core permeability, oil viscosity, and displacement velocity collectively govern the extent and location of remaining oil mobilization. With increasing permeability, the dominant mobilized pore-throat interval shifts from small–medium throats, 1–20 μm, to medium–large throats, 20–40 μm and above. CT-derived oil displacement efficiencies showed trends generally consistent with the NMR-based evaluation and further revealed that extended high-pore-volume water flooding and late-stage flow acceleration could still mobilize a portion of the remaining oil, albeit with diminishing incremental recovery. This integrated approach bridges the gap between pore-size-resolved quantification and three-dimensional spatial evidence, offering a robust framework for evaluating remaining-oil potential after prolonged water flooding in heavy-oil reservoirs.
SN - 2470-1343
ER -