TY  - JOUR
AU  - Xu, Ning
AU  - Wang, Yanling
PY  - 2026
DA  - 2026/01/06
TI  - Effect of Nanomaterials on Improving the Apparent Viscosity of Heavy Oil and the Environmental Evaluation of Reservoir Environment
JO  - Reservoir Science
T2  - Reservoir Science
JF  - Reservoir Science
VL  - 2
IS  - 1
SP  - 1
EP  - 15
DO  - 10.62762/RS.2025.277961
UR  - https://www.icck.org/article/abs/RS.2025.277961
KW  - heavy oil viscosity reduction
KW  - nano catalyst
KW  - rheological properties
KW  - reservoir damage evaluation
KW  - enhanced oil recovery
KW  - nanoparticles
AB  - Heavy oil reservoirs represent an important resource for alleviating energy shortages and supporting global economic development. This investigation explores the influence of a nano vanadium acid catalyst (NVR) and reservoir conditions including temperature, pressure, and shear rate on the apparent viscosity and rheological properties of crude oil during the underground extraction process. NVR was synthesized by loading vanadate active groups onto nano-SiO$_2$ particles via hydrothermal reaction. The results indicate that 0.3~wt% NVR achieves a maximum viscosity reduction rate of 60%, significantly outperforming the commercially available viscosity reducer CVR under identical conditions. Among the investigated factors, NVR dosage exhibits the greatest impact on viscosity reduction, while shear rate shows the smallest influence on heavy oil recovery. The viscosity reduction mechanism is attributed to the catalytic cleavage of C--S bonds by vanadate active groups, which reduces molecular chain entanglement and lowers the micro-grid density of the heavy oil system. Furthermore, NVR causes significantly less reservoir damage than CVR owing to its nanoscale structure and strong polar repulsion with reservoir rock surfaces. This investigation provides theoretical support and basic data for improving the flowability and recovery efficiency of heavy oil in deep shale reservoirs.
SN  - 3070-2356
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Xu2026Effect,
  author = {Ning Xu and Yanling Wang},
  title = {Effect of Nanomaterials on Improving the Apparent Viscosity of Heavy Oil and the Environmental Evaluation of Reservoir Environment},
  journal = {Reservoir Science},
  year = {2026},
  volume = {2},
  number = {1},
  pages = {1-15},
  doi = {10.62762/RS.2025.277961},
  url = {https://www.icck.org/article/abs/RS.2025.277961},
  abstract = {Heavy oil reservoirs represent an important resource for alleviating energy shortages and supporting global economic development. This investigation explores the influence of a nano vanadium acid catalyst (NVR) and reservoir conditions including temperature, pressure, and shear rate on the apparent viscosity and rheological properties of crude oil during the underground extraction process. NVR was synthesized by loading vanadate active groups onto nano-SiO\$\_2\$ particles via hydrothermal reaction. The results indicate that 0.3~wt\% NVR achieves a maximum viscosity reduction rate of 60\%, significantly outperforming the commercially available viscosity reducer CVR under identical conditions. Among the investigated factors, NVR dosage exhibits the greatest impact on viscosity reduction, while shear rate shows the smallest influence on heavy oil recovery. The viscosity reduction mechanism is attributed to the catalytic cleavage of C--S bonds by vanadate active groups, which reduces molecular chain entanglement and lowers the micro-grid density of the heavy oil system. Furthermore, NVR causes significantly less reservoir damage than CVR owing to its nanoscale structure and strong polar repulsion with reservoir rock surfaces. This investigation provides theoretical support and basic data for improving the flowability and recovery efficiency of heavy oil in deep shale reservoirs.},
  keywords = {heavy oil viscosity reduction, nano catalyst, rheological properties, reservoir damage evaluation, enhanced oil recovery, nanoparticles},
  issn = {3070-2356},
  publisher = {Institute of Central Computation and Knowledge}
}