Research on Water Finding Methods for Horizontal Wells
DOI:
https://doi.org/10.54097/hvyr2p98Keywords:
Horizontal Well Water Finding Technology; CFD Fluid Simulation; BP Neural Network.Abstract
The outflow of water from horizontal wells will lead to a decrease in oil production and a decrease in production efficiency. The commonly used water exploration methods have problems such as harmful oil layers, long auxiliary logging time, low efficiency, high cost, and discontinuous testing data. The technology of using crawlers to lower and search for water does not require the cooperation of the operation team. Logging work can be carried out during mining, and real-time monitoring of the production well can be carried out. The instrument is kept in the center of the casing, with high testing accuracy and short logging time, which improves production efficiency. In response to the problem of difficulty in locating the water outlet position using the crawling water finding technology, this article establishes a method for determining the water outlet position of a horizontal well based on the actual working conditions of a domestic oil field using the crawling water finding technology.
Downloads
References
Ning, Gong, Jin, Li, Na, Chen, et al., 2019. Water production characteristics and water control effect evaluation method of horizontal wells in Bohai Oilfield. Spec. Oil Gas Reserv. 26 (05), 147–152.
Dajian, Li, Hongzheng, Zhu, Guowei, Ma, et al., 2021. Status quo of horizontal well water prospecting technology and discussion on rapid water prospecting methods. Pet. Geol. Eng. 35 (01), 109–112.
Ojo, K.P., Osisanya, S.O., Ayeni, K., 2008. Factors affecting horizontal well gravel pack efficiency. J. Can. Petrol. Technol. 47 (12) https://doi.org/10.2118/08-12-50.
Ouyan L. B., Arbabi S., Aziz K.. A Single-Phase Wellbore-Flow Model for Horizontal, Vertical, and Slanted Wells[J]. SPE 36608, 1998.
Ouyang L B. Production and Injection Profiling Challenges and New Opporhınities [C] .Paper MM at SPWLA 46th Annual Logging Sym-posium,2005.
Osman, E., 2004. Artificial neural network models for identifying flow regimes and predicting liquid holdup in horizontal multiphase flow. SPE Prod. Facil. 19 (1), 33–40.
enney D. The Future of Reservoir Perfomance Mon itoring [J]. JPT, 2004.
Wenhao, Cui, Zubo, Su, Jian, Kang, et al., 2018. Key technologies for water exploration by dragging pipe strings in multi-stage fracturing horizontal wells. Pet. Drill. Technol. 46 (01), 97–102.
Morrow N R. Wettability and its Effect On oil Recovery [J]. JPT, 1990,41(12):1476-1484.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Academic Journal of Science and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.








