In order to solve the problem of low accuracy of bottom hole pressure in tight gas reservoir, this paper presents a new way to analyze the bottom hole pressure. By combining literature research and starting from nonlinear motion equations, the model of bottom hole pressure was established through using various mathematical methods such as separation variable method, identity transformation method and differential discrete method. This paper presents a high-precision and high-efficiency method for solving bottom hole pressure in tight gas reservoirs, and a dynamic calculation method for permeability and conductivity is given. Through the sensitivity analysis of the influencing factors of dimensionless pressure and pressure derivative, it is concluded that the larger the power law index is, the larger the warpage of the dimensionless pressure and pressure derivative curve is. The larger the skin coefficient and the wellbore storage coefficient is, the earlier the fluid enters into the quasi-steady-state seepage. When the tight gas reservoir contains closed edges, the resolution points of the dimensionless pressure and pressure derivative curves are obvious with crossing. On the contrary, when the tight gas reservoir contains the constant pressure boundary, the resolution points of the dimensionless pressure and pressure derivative curves are not obvious without crossing.
Published in | International Journal of Oil, Gas and Coal Engineering (Volume 7, Issue 6) |
DOI | 10.11648/j.ogce.20190706.12 |
Page(s) | 118-124 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Tight Gas Reservoir, Bottom Hole Pressure, Pressure Derivative, Sample Curve, Numerical Difference
[1] | Yang Jian, Kang Yili, Li Qiangui, et al. Microstructure and seepage characteristics of tight sandstone gas reservoirs [J]. Progress in mechanics, 2008, 38 (2): 229-235. |
[2] | Hu Wenrui. Development and utilization of unconventional natural gas resources in China [J]. Journal of Daqing petroleum institute, 2010, 34 (5): 10-16. |
[3] | Qu Hao. Calculation method of linear flow formation pressure in fractured reservoirs [J]. Special oil and gas reservoirs, 2015, 22 (4): 104-106. |
[4] | Lian Peiqing, Cheng Linsong, He Lipeng, et al. Unsteady flow analysis of fractured horizontal Wells in gas reservoirs [J]. Journal of computational mechanics, 2011, 28 (4): 579-583. |
[5] | Ren Shengli. Well test analysis of low permeability reservoir with dynamic boundary layer [J]. Oil and gas well test, 2015, 24 (3): 8-11. |
[6] | Wang Yong-yong, Yuan Jian-min, Wang Dong-quan, et al. Nonlinear spherical seepage model and dynamic characteristics of bottomhole pressure [J]. Hydrodynamics research and progress, 2011, 26 (3): 333-341. |
[7] | Feng Guoqing, Liu Qiguo, Shi Guangzhi, et al. Unstable seepage model for low permeability gas reservoirs with starting pressure gradient [J]. Petroleum exploration and development, 2008, 35 (4): 457-461. |
[8] | Ibrahim Sami Nashawi. Constant pressure well test analysis of finite-conductivity hydraulically fractured gas wells influenced by non-Darcy flow effects [J]. Journal of Petroleum Science and Engineering, 2005, 53: 225-238. |
[9] | Liu Hailong. The numerical simulation for multistage fractured horizontal well in low-permeability reservoirs based on modified Darcy’s equation [J]. J Petrol Explor Prod Technol DOI 10.1007/s13202-016-0283-1. |
[10] | Zhang X, Yang R, Zhongchao Y et al (2014) Numerical simulation method of nonlinear flow in low permeability reservoirs [J]. Chongqing Univ Sci Technol 16 (2): 56–59. |
[11] | Liu Yikun, Wang Liang, Wang Fulin. The application of numerical simulation technology in tower 4 Oilfield well pattern adjustment [J]. Lithologic Reservoirs, 2010, 22 (1): 119-121. |
[12] | Xiong Jian, Hu Yongqiang, Chen Zhen, et al. Dynamic prediction model for low permeability gas reservoir taking the real gas into account [J]. Journal of Northeast Petroleum University, 2013, 37 (2): 91-95. |
[13] | Wu, Yu-Shu. Transient Gas Flow in Unconventional Gas Reservoir [J]. SPE 154448, 2012. |
[14] | Bowers, B., National Energy Board. Gas Reservoir Performance Monitoring [J]. Journal of PETSOC Conference Paper, 1981. |
APA Style
Liu Hailong. (2019). Analysis of Factors Affecting Bottom Hole Pressure in Tight Gas Reservoir. International Journal of Oil, Gas and Coal Engineering, 7(6), 118-124. https://doi.org/10.11648/j.ogce.20190706.12
ACS Style
Liu Hailong. Analysis of Factors Affecting Bottom Hole Pressure in Tight Gas Reservoir. Int. J. Oil Gas Coal Eng. 2019, 7(6), 118-124. doi: 10.11648/j.ogce.20190706.12
AMA Style
Liu Hailong. Analysis of Factors Affecting Bottom Hole Pressure in Tight Gas Reservoir. Int J Oil Gas Coal Eng. 2019;7(6):118-124. doi: 10.11648/j.ogce.20190706.12
@article{10.11648/j.ogce.20190706.12, author = {Liu Hailong}, title = {Analysis of Factors Affecting Bottom Hole Pressure in Tight Gas Reservoir}, journal = {International Journal of Oil, Gas and Coal Engineering}, volume = {7}, number = {6}, pages = {118-124}, doi = {10.11648/j.ogce.20190706.12}, url = {https://doi.org/10.11648/j.ogce.20190706.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20190706.12}, abstract = {In order to solve the problem of low accuracy of bottom hole pressure in tight gas reservoir, this paper presents a new way to analyze the bottom hole pressure. By combining literature research and starting from nonlinear motion equations, the model of bottom hole pressure was established through using various mathematical methods such as separation variable method, identity transformation method and differential discrete method. This paper presents a high-precision and high-efficiency method for solving bottom hole pressure in tight gas reservoirs, and a dynamic calculation method for permeability and conductivity is given. Through the sensitivity analysis of the influencing factors of dimensionless pressure and pressure derivative, it is concluded that the larger the power law index is, the larger the warpage of the dimensionless pressure and pressure derivative curve is. The larger the skin coefficient and the wellbore storage coefficient is, the earlier the fluid enters into the quasi-steady-state seepage. When the tight gas reservoir contains closed edges, the resolution points of the dimensionless pressure and pressure derivative curves are obvious with crossing. On the contrary, when the tight gas reservoir contains the constant pressure boundary, the resolution points of the dimensionless pressure and pressure derivative curves are not obvious without crossing.}, year = {2019} }
TY - JOUR T1 - Analysis of Factors Affecting Bottom Hole Pressure in Tight Gas Reservoir AU - Liu Hailong Y1 - 2019/11/25 PY - 2019 N1 - https://doi.org/10.11648/j.ogce.20190706.12 DO - 10.11648/j.ogce.20190706.12 T2 - International Journal of Oil, Gas and Coal Engineering JF - International Journal of Oil, Gas and Coal Engineering JO - International Journal of Oil, Gas and Coal Engineering SP - 118 EP - 124 PB - Science Publishing Group SN - 2376-7677 UR - https://doi.org/10.11648/j.ogce.20190706.12 AB - In order to solve the problem of low accuracy of bottom hole pressure in tight gas reservoir, this paper presents a new way to analyze the bottom hole pressure. By combining literature research and starting from nonlinear motion equations, the model of bottom hole pressure was established through using various mathematical methods such as separation variable method, identity transformation method and differential discrete method. This paper presents a high-precision and high-efficiency method for solving bottom hole pressure in tight gas reservoirs, and a dynamic calculation method for permeability and conductivity is given. Through the sensitivity analysis of the influencing factors of dimensionless pressure and pressure derivative, it is concluded that the larger the power law index is, the larger the warpage of the dimensionless pressure and pressure derivative curve is. The larger the skin coefficient and the wellbore storage coefficient is, the earlier the fluid enters into the quasi-steady-state seepage. When the tight gas reservoir contains closed edges, the resolution points of the dimensionless pressure and pressure derivative curves are obvious with crossing. On the contrary, when the tight gas reservoir contains the constant pressure boundary, the resolution points of the dimensionless pressure and pressure derivative curves are not obvious without crossing. VL - 7 IS - 6 ER -