New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation
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...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/23/5897 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850261423929688064 |
|---|---|
| author | Xiangfei Geng Bin Ding Baoshan Guan Haitong Sun Jingge Zan Ming Qu Tuo Liang Honghao Li Shuo Hu |
| author_facet | Xiangfei Geng Bin Ding Baoshan Guan Haitong Sun Jingge Zan Ming Qu Tuo Liang Honghao Li Shuo Hu |
| author_sort | Xiangfei Geng |
| collection | DOAJ |
| description | 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<sup>3</sup> 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. |
| format | Article |
| id | doaj-art-9bf0957a58034b3bab58e057540cafdc |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-9bf0957a58034b3bab58e057540cafdc2025-08-20T01:55:26ZengMDPI AGEnergies1996-10732024-11-011723589710.3390/en17235897New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique SimulationXiangfei Geng0Bin Ding1Baoshan Guan2Haitong Sun3Jingge Zan4Ming Qu5Tuo Liang6Honghao Li7Shuo Hu8Research Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, ChinaResearch Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, ChinaResearch Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, ChinaNEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, ChinaNEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, ChinaNEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, ChinaSchool of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, ChinaSchool of Engineering, University of Aberdeen, Aberdeen AB24 3FX, UKFourth Oil Recovery Plant of Daqing Oilfield Co., Ltd., Daqing 163318, ChinaThis 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<sup>3</sup> 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.https://www.mdpi.com/1996-1073/17/23/5897nanofluidmodelingstructural disjoining pressureself-profile control and flooding |
| spellingShingle | Xiangfei Geng Bin Ding Baoshan Guan Haitong Sun Jingge Zan Ming Qu Tuo Liang Honghao Li Shuo Hu New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation Energies nanofluid modeling structural disjoining pressure self-profile control and flooding |
| title | New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation |
| title_full | New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation |
| title_fullStr | New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation |
| title_full_unstemmed | New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation |
| title_short | New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation |
| title_sort | new insight of nanosheet enhanced oil recovery modeling structural disjoining pressure and profile control technique simulation |
| topic | nanofluid modeling structural disjoining pressure self-profile control and flooding |
| url | https://www.mdpi.com/1996-1073/17/23/5897 |
| work_keys_str_mv | AT xiangfeigeng newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation AT binding newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation AT baoshanguan newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation AT haitongsun newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation AT jinggezan newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation AT mingqu newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation AT tuoliang newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation AT honghaoli newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation AT shuohu newinsightofnanosheetenhancedoilrecoverymodelingstructuraldisjoiningpressureandprofilecontroltechniquesimulation |