Use of Smart Controls in Intelligent Well Completion to Optimize Oil & Gas Recovery
Journal of Engineering Research and Reports · pp. 1–14 · Published 10 Jun 2019
10.9734/jerr/2019/v5i416930Abstract
For the past few years, the oil and gas industry has faced several economic, geographic and technical challenges largely due to decline in crude oil prices and market volatility. In the quest to address some of these challenges to accelerate production and subsequently maximize ultimate recovery, operators are limited to remote hydraulic and electro-hydraulic monitoring and control of safety valves providing the means of obtaining downhole production data which demands periodic well intervention-based techniques with risk of loss of associated tools. This has highlighted the need for companies to adopt new technology to take advantage of low crude oil price environment, optimizing recovery without interventions and with minimal production interruption. One of the recent improvements in production technologies which can remedy these problems having unique capabilities to do so is the Intelligent Well Completion (IWC) technology. In this paper the utilization of IWC to optimize oil recovery was evaluated. The use of a reservoir simulator, the Schlumberger ECLIPSE-100 simulator, was employed to model an intelligent well. Case study simulations were performed for an active bottom-water drive. Modeling of the Intelligent Well Inflow Control Devices (ICDs) and downhole sensors for the multilaterals was achieved using the Multi-Segment Well model. Optimal IWC technology combination for maximum hydrocarbon recovery and minimal water production was determined using the reactive control strategy (RCS) which indicated a drastic reduction of about 52.1% in water production with a slight drop of 1.5% in field oil efficiency (FOE). The simulation results obtained clearly showed that the utilization of intelligent well-ICDs in Production wells can significantly increase the cumulative oil production and reduce water production.
Cited by 4
Xili Deng, Jingxuan Wang, Xiangguo Zhao · Energies · 2025
Gang Bi, Shuaishuai Fu, Jinlong Wang · Processes · 2024
Yan Zheng, Long Wang, Zhiqiang Dun · Scientific Journal of Technology · 2025
Alexander Sleptsov, Lyudmila Medvedeva, Oksana Marinina · Processes · 2024
Related research
- Effect of Optimization of Cultural Parameters on Exobiopolymer Production by Microbial Isolates and Their Application in Wastewater Treatment — shares topic coverage
- Optimization of β-galactosidase Production from Yogurt and Dairy Soil Associated Bacteria Using Different Fermentation Media — shares topic coverage
- Proteases Production by a Bacterial Isolate Bacillus amyloliquefaciens 35s Obtained from Soil of the Nile Delta of Egypt — shares topic coverage
- Study of Effect of Nutritional Factors for Optimization of Lipase Production by Lipolytic Fungi — shares topic coverage
- Screening of Bacterial Strains of Agricultural Waste Origin for Βeta-mannanase Production and Optimization of Process Parameters — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
4
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.