New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation

Xiangfei Geng, Bin Ding, Baoshan Guan, Haitong Sun (), Jingge Zan, Ming Qu, Tuo Liang, Honghao Li and Shuo Hu
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Xiangfei Geng: Research Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, China
Bin Ding: Research Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, China
Baoshan Guan: Research Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, China
Haitong Sun: NEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, China
Jingge Zan: NEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, China
Ming Qu: NEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, China
Tuo Liang: School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
Honghao Li: School of Engineering, University of Aberdeen, Aberdeen AB24 3FX, UK
Shuo Hu: Fourth Oil Recovery Plant of Daqing Oilfield Co., Ltd., Daqing 163318, China

Energies, 2024, vol. 17, issue 23, 1-25

Abstract: This study presents a novel Enhanced Oil Recovery (EOR) method using Smart Black Nanocards (SLNs) to mitigate the environmental impact of conventional thermal recovery, especially under global warming. Unlike prior studies focusing on wettability alteration via adsorption, this research innovatively models ‘oil film detachment’ in a reservoir simulator to achieve wettability alteration. Using the CMG-STARS (2020) simulator, this study highlights SLNs’ superior performance over traditional chemical EOR and spherical nanoparticles by reducing residual oil saturation and shifting wettability toward water-wet conditions. The structural disjoining pressure (SDP) of SLNs reaches 20.99 × 10 3 Pa, 16.5 times higher than spherical particles with an 18.5 nm diameter. Supported by the Percus–Yevick (PY) theory, the numerical model achieves high accuracy in production history matching, with oil recovery and water cut fitting within precision error ranges of 0.02 and 0.05, respectively. This research advances chemical EOR technologies and offers an environmentally sustainable, efficient recovery strategy for low-permeability and heavy oil reservoirs, serving as a promising alternative to thermal methods.

Keywords: nanofluid; modeling; structural disjoining pressure; self-profile control and flooding (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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