Geological–Engineering Synergistic Optimization of CO2 Flooding Well Patterns for Sweet Spot Development in Tight Oil Reservoirs

CO2 flooding technology has been established as a key technique that is both economically viable and environmentally sustainable, achieving enhanced oil recovery (EOR) while advancing CCUS objectives. This study addresses the challenge of optimizing CO2 flooding well patterns in tight oil reservoirs through a geological–engineering integrated approach. A semi-analytical model incorporating startup pressure gradients and miscible/immiscible two-phase flow was developed to dynamically adjust injection intensity. An effective driving coefficient model considering reservoir heterogeneity and fracture orientation was proposed to determine well pattern boundaries. Field data from Blocks A and B were used to validate the models, with the results indicating optimal injection intensities of 0.39 t/d/m and 0.63 t/d/m, respectively. Numerical simulations confirmed that inverted five-spot patterns with well spacings of 240 m (Block A) and 260 m (Block B) achieved the highest incremental oil production (3621.6 t/well and 4213.1 t/well) while reducing the gas channeling risk by 35–47%. The proposed methodology provides a robust framework for enhancing recovery efficiency in low-permeability reservoirs under varying geological conditions.

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Publication Details

Journal
Sustainability
Published
2025-05-22
DOI
https://doi.org/10.3390/su17114751
Citations
1
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
0.80
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Geological–Engineering Synergistic Optimization of CO2 Flooding Well Patterns for Sweet Spot Development in Tight Oil Reservoirs

Enhui Pei, Chunsheng Wang, Chao Xu
1 citations
Sustainability
CO2 Sequestration and Geologic Interactions
0.80
article

Geological–Engineering Synergistic Optimization of CO2 Flooding Well Patterns for Sweet Spot Development in Tight Oil Reservoirs

Enhui Pei, Chunsheng Wang, Chao Xu
article en
1 citations

Abstract

CO2 flooding technology has been established as a key technique that is both economically viable and environmentally sustainable, achieving enhanced oil recovery (EOR) while advancing CCUS objectives. This study addresses the challenge of optimizing CO2 flooding well patterns in tight oil reservoirs through a geological–engineering integrated approach. A semi-analytical model incorporating startup pressure gradients and miscible/immiscible two-phase flow was developed to dynamically adjust injection intensity. An effective driving coefficient model considering reservoir heterogeneity and fracture orientation was proposed to determine well pattern boundaries. Field data from Blocks A and B were used to validate the models, with the results indicating optimal injection intensities of 0.39 t/d/m and 0.63 t/d/m, respectively. Numerical simulations confirmed that inverted five-spot patterns with well spacings of 240 m (Block A) and 260 m (Block B) achieved the highest incremental oil production (3621.6 t/well and 4213.1 t/well) while reducing the gas channeling risk by 35–47%. The proposed methodology provides a robust framework for enhancing recovery efficiency in low-permeability reservoirs under varying geological conditions.

SustainabilityVol. 17(11)
Northeast Petroleum University (CN)
Openalex Percentile: Top 29%
CO2 Sequestration and Geologic Interactions
0.80
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