Effect of Stress Sensitivity on Production of Tight Heterogeneous Reservoir
Year 2018,
, 30 - 33, 27.11.2018
Nai Cao
,
Hong Lı
Mengyun Lıu
Abstract
Permeability can be effected by many factors including effective stress, and this
will further impact the final production of oil and gas. In this work, a stressdependent
permeability calculation model was adopted and based on which a
production function for heterogeneous tight sandstone reservoir on core scale is
derived. Stress sensitivity has been taken as the primary influencing factor to
analysis the impact of effective stress on the productivity of heterogeneous tight
sandstone reservoir. The results shows that the stress sensitivity needed to be taken
into cosideration when the effective stress cannot be overlooked in the design of
developing plan for tight reservoirs; and the severity of the heterogeneity has a
noticeable influence on the production
References
- [1] Song ,Cui Xiaona,Su Xu,et al. (2014) Determination and application of reasonable flowing pressure in ultra- low permeability reservoirs, peripheral Daqing.Special Oil & Gas Reservoirs, 21(1):102-105
- [2]Wang Peixi, Liu Renjing. (2012) Universal model of stress sensitive coefficient for low permeability reservoir. Petroleum Geology and Recovery Efficiency, 19(2):75-77.
- [3]Gao Jia, Lü Jing, Wang Jialu. (2009) Evaluation on stress sensibility of low permeability rock under reservoir condition. Chinese Journal of Rock Mechanics and Engineering, 28(S2):3 899-3902.
- [4]Wang Xuewu,Huang Yanzhang,Yang Zhengming. (2010) Study of stress sensitivity of tight reservoir[J].Rock and Soil Mechanics,31(S1):182-186.
- [5]Wang Liqiang,Liu Huiqing,Zhen Siguang,et al. (2009) Quantitative research on stress sensitivity of low permeability reservoir. Acta Petrolei Sinica,30(1):96-99.
- [6]Lei Gang,Dong Pingchuan,Yang Shu,et al. (2014) Productivity analysis of tight sandstone gas reservoir in pseudo-steady state.Petroleum Geology and Recovery Efficiency,2014,21(5):94-97.
- [7]Tan Xiqun,Yue Xiang’an,Liu Xiangyang,et al. (2009) Stress sensitivity of low permeability heterogeneous reservoir and its influences on fluid distribution-taking CO2-drive oil reservoir as example. Petroleum Geology and Recovery Efficiency, 16(5):92-94
- [8]M. Cevri, D. Üstü. (2016) Prediction of the Probabilities of the Transmission of Genetic Traits within Bayesian Logical Inference (ICCESEN 2016).
- [9]N.M. Özgül, M.Y. Savaşçin, İ. Özkan. (2016) Recycling of Coal Ash in Production of Low Density Masonry Unit (ICCESEN 2016).
- [10]M.C. Boz, F. Öner, B. Mavi. (2016) Natural Radioactivity and Radiation Hazards in Coals Extracted in Amasya, Turkey (ICCESEN 2016).
Year 2018,
, 30 - 33, 27.11.2018
Nai Cao
,
Hong Lı
Mengyun Lıu
References
- [1] Song ,Cui Xiaona,Su Xu,et al. (2014) Determination and application of reasonable flowing pressure in ultra- low permeability reservoirs, peripheral Daqing.Special Oil & Gas Reservoirs, 21(1):102-105
- [2]Wang Peixi, Liu Renjing. (2012) Universal model of stress sensitive coefficient for low permeability reservoir. Petroleum Geology and Recovery Efficiency, 19(2):75-77.
- [3]Gao Jia, Lü Jing, Wang Jialu. (2009) Evaluation on stress sensibility of low permeability rock under reservoir condition. Chinese Journal of Rock Mechanics and Engineering, 28(S2):3 899-3902.
- [4]Wang Xuewu,Huang Yanzhang,Yang Zhengming. (2010) Study of stress sensitivity of tight reservoir[J].Rock and Soil Mechanics,31(S1):182-186.
- [5]Wang Liqiang,Liu Huiqing,Zhen Siguang,et al. (2009) Quantitative research on stress sensitivity of low permeability reservoir. Acta Petrolei Sinica,30(1):96-99.
- [6]Lei Gang,Dong Pingchuan,Yang Shu,et al. (2014) Productivity analysis of tight sandstone gas reservoir in pseudo-steady state.Petroleum Geology and Recovery Efficiency,2014,21(5):94-97.
- [7]Tan Xiqun,Yue Xiang’an,Liu Xiangyang,et al. (2009) Stress sensitivity of low permeability heterogeneous reservoir and its influences on fluid distribution-taking CO2-drive oil reservoir as example. Petroleum Geology and Recovery Efficiency, 16(5):92-94
- [8]M. Cevri, D. Üstü. (2016) Prediction of the Probabilities of the Transmission of Genetic Traits within Bayesian Logical Inference (ICCESEN 2016).
- [9]N.M. Özgül, M.Y. Savaşçin, İ. Özkan. (2016) Recycling of Coal Ash in Production of Low Density Masonry Unit (ICCESEN 2016).
- [10]M.C. Boz, F. Öner, B. Mavi. (2016) Natural Radioactivity and Radiation Hazards in Coals Extracted in Amasya, Turkey (ICCESEN 2016).