Study on Application of Vortex Drainage Gas Recovery in Daqing Oilfield
- DOI
- 10.2991/smont-19.2019.61How to use a DOI?
- Keywords
- drainage gas recovery; vortex tool; optimization design; field test
- Abstract
The vortex drainage gas recovery technology has the advantages of no need for moving pipe column and long maintenance period. Through the mechanism and numerical simulation results of the vortex tool, the geometric parameters of vortex tools suitable for gas well parameters in Daqing oilfield are optimized by using parameter optimization software. The height of liquid is calculated by following the Bernoulli equation. The field application shows that vortex tool has realized the effective separation of water-gas, and changes the flow state of the mixed phase water-gas. However, the positioning depth of vortex tool is too deep, and its swirling distance is insufficient. The gas well is further optimized for drainage gas recovery technology. The results show that better drainage gas recovery results can be obtained by adopting two-stage vortex tool and foam drainage gas recovery. Then, the gas well has a remarkable effect of drainage gas recovery. The decline trend of oil pressure, gas production and water production of the gas well has been significantly improved. The low pressure, low water content and low production gas wells can be effectively promoted by adopting two-stage vortex tool and foam drainage gas recovery. The vortex drainage gas recovery technology provides a technical support for the sustained and stable production of Daqing oilfield.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lijuan Ren AU - Peng Wang AU - Meng Cai AU - Jingqin Wang PY - 2019/04 DA - 2019/04 TI - Study on Application of Vortex Drainage Gas Recovery in Daqing Oilfield BT - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019) PB - Atlantis Press SP - 275 EP - 279 SN - 1951-6851 UR - https://doi.org/10.2991/smont-19.2019.61 DO - 10.2991/smont-19.2019.61 ID - Ren2019/04 ER -