Ashkan Arfanezhad ,
Poplygin Vladimir Valerievich
(Perm National Research Polytechnic University, Perm, RUSSIA).
Disciplinary: Petroleum Engineering.
Keywords: Gas-condensate reservoir, Well productivity, Uncertainty, Dew point pressure, Condensate blockage
The calculation of well efficiency in gas-condensate reservoirs is one of the significant challenges in such reservoirs. Condensate Blockage is assumed as one of the most serious hurdles in Iran's gas reservoirs. When the pressure falls below the dew point pressure, the lower the pressure, the more condensed liquid is formed in the reservoir. Due to the higher pressure difference, this phenomenon is very common in near wellbore regions. If liquids are formed in the reservoir, in addition to the economic losses due to the retention of components with hydrocarbon value, they will also reduce the gas relative permeability and well productivity. The productivity calculation in gas-condensate wells requires performing numerical simulations and downscaling technique of the local grids around the wellbore. Otherwise, the effects of gas velocity as well as the phenomenon of condensate formation around the wellbore are ignored in the calculations, which leads to inaccurate well productivity estimates. The mentioned complexities make the calculation of gas-condensate well productivity more time-consuming while using the numerical simulation method. On the other hand, since the reservoir and well characteristics including reservoir dimensions, porosity, permeability, etc. are uncertain in early life of the reservoir, it is necessary to calculate the well productivity thousands of times so that the uncertainty effects of the input parameters are estimated by statistical methods. In this paper, we first introduced an analytical method for the rapid calculation of well productivity by considering the effects of velocity and condensate formation around the wellbore with different geometric shapes, including vertical, horizontal, and hydraulically-fractured wells. Then, using Monte Carlo simulation, the effects of uncertainty in different input parameters upon the productivity coefficient were investigated and ultimately a model was presented.
Paper ID: 13A6G
Cite this article:
Arfanezhad, A., Valerievich, P. V. (2022). Rapid Calculation of Well Productivity in Gas-condensate Reservoirs. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 13(6), 13A6G, 1-16. http://TUENGR.COM/V13/13A6G.pdf DOI: 10.14456/ITJEMAST.2022.112