Analysis of the impact of geological and engineering parameters on productivity in tight oil reservoirs

Abstract Tight oil resources are abundant, but the factors affecting production capacity are complex. In this paper, focusing on tight oil reservoirs, three research works were conducted. First, using the numerical simulation software, a numerical model of tight oil reservoirs was established. Second, the influence of geological parameters such as porosity and permeability on oil production were analyzed. Third, the influence of rock compression coefficient and injection fluid on tight oil production were analyzed. Results show that: (a) When the porosity is 0.05, the cumulative oil production in the first 6 years is the highest, while in the later stage of the simulation, the cumulative oil production with a porosity of 0.1 is the highest. (b) The higher the permeability, the greater the cumulative oil production. The cumulative oil production under different permeability conditions are 1392.044, 2178.805, 2939.1704, and 4038.0878 m 3 , respectively. (c) Under tight reservoir conditions, the impact of different rock compression coefficients on the daily oil production of oil and gas reservoirs is not very significant. (d) The recovery effect is optimal when using the N 2 injection scheme. The effectiveness of the CH 4 scheme is second, and there is a certain gap compared to the N 2 scheme. The development plan of injecting water has the worst effect. However, compared to the depletion development model, the cumulative oil production by injecting N 2 , CO 2 , CH 4 , and water has all increased.

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Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2024-10-21
DOI
https://doi.org/10.1002/cjce.25518
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
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article

Analysis of the impact of geological and engineering parameters on productivity in tight oil reservoirs

Kui Xiang, Xiaofeng Zhou, Changsheng Lv, Chuan Li
The Canadian Journal of Chemical Engineering
Reservoir Engineering and Simulation Methods
article

Analysis of the impact of geological and engineering parameters on productivity in tight oil reservoirs

Kui Xiang, Xiaofeng Zhou, Changsheng Lv, Chuan Li
article en

Abstract

Abstract Tight oil resources are abundant, but the factors affecting production capacity are complex. In this paper, focusing on tight oil reservoirs, three research works were conducted. First, using the numerical simulation software, a numerical model of tight oil reservoirs was established. Second, the influence of geological parameters such as porosity and permeability on oil production were analyzed. Third, the influence of rock compression coefficient and injection fluid on tight oil production were analyzed. Results show that: (a) When the porosity is 0.05, the cumulative oil production in the first 6 years is the highest, while in the later stage of the simulation, the cumulative oil production with a porosity of 0.1 is the highest. (b) The higher the permeability, the greater the cumulative oil production. The cumulative oil production under different permeability conditions are 1392.044, 2178.805, 2939.1704, and 4038.0878 m 3 , respectively. (c) Under tight reservoir conditions, the impact of different rock compression coefficients on the daily oil production of oil and gas reservoirs is not very significant. (d) The recovery effect is optimal when using the N 2 injection scheme. The effectiveness of the CH 4 scheme is second, and there is a certain gap compared to the N 2 scheme. The development plan of injecting water has the worst effect. However, compared to the depletion development model, the cumulative oil production by injecting N 2 , CO 2 , CH 4 , and water has all increased.

The Canadian Journal of Chemical EngineeringVol. 103(6)
Oil and Gas Center (CN), Northeast Petroleum University (CN)
Openalex Percentile: Top 76%
Reservoir Engineering and Simulation Methods
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Analysis of the impact of geological and engineering parameters on productivity in tight oil reservoirs — Kui Xiang, Xiaofeng Zhou, et al. · The Canadian Journal of Chemical Engineering (2024) | TGRS Research Map | TGRS