Completion Performance Evaluation in Multilateral Wells Incorporating Single and Multiple Types of Flow Control Devices Using Grey Wolf Optimizer

被引:2
作者
Ahdeema, Jamal [1 ]
Sefat, Morteza Haghighat [1 ]
Muradov, Khafiz [1 ]
Moradi, Ali [2 ]
Moldestad, Britt M. E. [2 ]
机构
[1] Heriot Watt Univ, Inst GeoEnergy Engn, Edinburgh EH14 4AS, Scotland
[2] Univ South Eastern Norway, Dept Proc Energy & Environm Technol, N-3918 Porsgrunn, Norway
关键词
passive inflow control devices; autonomous inflow control devices; inflow control valves; multilateral wells; advanced well completion; Grey Wolf Optimizer; Smart Wells; DYNAMIC OPTIMIZATION; INFLOW; RESERVOIR;
D O I
10.3390/pr12040785
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
There has been a tendency in oil and gas industry towards the adoption of multilateral wells (MLWs) with completions that incorporate multiple types of flow control devices (FCDs). In this completion technique, passive inflow control devices (ICDs) or autonomous inflow control devices (AICDs) are positioned within the laterals, while interval control valves (ICVs) are installed at lateral junctions to regulate the overall flow from each lateral. While the outcomes observed in real field applications appear promising, the efficacy of this specific downhole completion combination has yet to undergo comparative testing against alternative completion methods that employ a singular flow control device type. Additionally, the design and current evaluations of such completions are predominantly based on analytical tools that overlook dynamic reservoir behavior, long-term production impacts, and the correlation effects among different devices. In this study, we explore the potential of integrating various types of flow control devices within multilateral wells, employing dynamic optimization process using numerical reservoir simulator while the Grey Wolf Optimizer (GWO) is used as optimization algorithm. The Egg benchmark reservoir model is utilized and developed with two dual-lateral wells. These wells serve as the foundation for implementing and testing 22 distinct completion cases considering single-type and multiple types of flow control devices under reactive and proactive management strategies. This comprehensive investigation aims to shed light on the advantages and limitations of these innovative completion methods in optimizing well and reservoir performance. Our findings revealed that the incorporation of multiple types of FCDs in multilateral well completions significantly enhance well performance and can surpass single-type completions including ICDs or AICDs. However, this enhancement depends on the type of the device implemented inside the lateral and the control strategy that is used to control the ICVs at the lateral junctions. The best performance of multiple-type FCD-based completion was achieved through combining AICDs with reactive ICVs which achieved around 75 million USD profit. This represents 42% and 22% increase in the objective function compared to single-type ICDs and AICDs installations, respectively. The optimal settings for ICD and AICD in individual applications may significantly differ from the optimal settings when combined with ICVs. This highlights a strong correlation between the different devices (control variables), proving that using either a common, simplified analytical, or a standard sequential optimization approach that do not explore this inter-dependence between devices would result in sub-optimal solutions in such completion cases. Notably, the ICV-based completion, where only ICVs are installed with lateral completion, demonstrated superior performance, particularly when ICVs are reactively controlled, resulting in an impressive 80 million USD NPV which represents 53% and 30% increase in the objective function compared to single-type ICDs and AICDs installations, respectively.
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页数:29
相关论文
共 52 条
[1]  
Addiego-Guevara E., 2008, P IMPROVED OIL RECOV, DOI DOI 10.2118/113918-MS
[2]  
Ahdeema J., 2023, P SPE OFFSHORE EUROP, DOI [10.2118/215507-MS, DOI 10.2118/215507-MS]
[3]   Hybrid Framework for Enhanced Dynamic Optimization of Intelligent Completion Design in Multilateral Wells with Multiple Types of Flow Control Devices [J].
Ahdeema, Jamal ;
Sefat, Morteza Haghighat ;
Muradov, Khafiz .
ENERGIES, 2023, 16 (20)
[4]  
Alghareeb Z.M., 2009, SPE ANN TECHNICAL C, DOI DOI 10.2118/124999-MS
[5]   Surrogate-Based Prediction and Optimization of Multilateral Inflow Control Valve Flow Performance with Production Data [J].
Aljubran, Mohammad Jawad ;
Horne, Roland .
SPE PRODUCTION & OPERATIONS, 2021, 36 (01) :224-233
[6]   Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms [J].
Amar, Menad Nait ;
Ghahfarokhi, Ashkan Jahanbani ;
Ng, Cuthbert Shang Wui ;
Zeraibi, Noureddine .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2021, 206
[7]   Optimal placement design of inflow control valve using a dynamic optimization process based on technical and economic indicators [J].
Andrade Gomes Barreto, Carlos Eduardo ;
Schiozer, Denis Jose .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2015, 125 :117-127
[8]  
[Anonymous], Schlumberger Manara
[9]  
[Anonymous], Baker Hughes MultiNode
[10]  
[Anonymous], Halliburton EquiFlow Autonomous Inflow Control Devices (AICD)