Maximizing Asset Value &amp; Field Recovery with Advanced Completion Solutions – A Digital Twin Field Case Study with Multilateral, Intelligent Completion, and AICD Completion Technologies

Shahreyar, Noman; Butler, Benjamin; Corona, Georgina

doi:10.2118/208180-ms

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…(2) Enhance control over zonal production in comparison to completion scenarios where laterals are kept open hole or completed with just single-type FCDs such as only passive or only autonomous flow control devices. Several successful real-world applications of well completions incorporating multiple types of flow control devices have been reported worldwide e.g., [35][36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

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

Ahdeema,

Sefat,

Muradov

et al. 2024

Processes

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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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Section: Introductionmentioning

confidence: 99%

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

Ahdeema,

Sefat,

Muradov

et al. 2024

Processes

View full text Add to dashboard Cite

show abstract

Distributed Acoustic Sensing of Passive and Active Inflow Control Technology and Quantification of Flow Rates for Reservoir Surveillance

Schaeffer,

Grubert,

Jugdaw

et al. 2024

SPE Annual Technical Conference and Exhibition

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The application of distributed acoustic sensing (DAS) technology has continued to gain popularity and develop rapidly as a diagnostic tool within intelligent completions outfitted mature fields oil and gas wells, for the purpose of production and injection flow monitoring. Intelligent completion wells consist of subsurface valves placed at tailored depth increments which allows for the passage and restriction of flow in both a passive and active sense. The fluidic autonomous inflow control devices (AICDs) operate passively without moving parts or electronics and are designed to preferentially restrict unwanted fluids at breakthrough from the formation. Interval control valves (ICVs), in contrast, are controlled from the surface to adjust and expose flow ports which regulate flow. The following research involves a set of experiments about which a multiphase flow loop (oil, water, gas) was instrumented with a DAS system across an inflow test section that included both AICDs and ICVs. The experiments sampled realistic subsurface flow rates for both injection and production scenarios and sample fluid properties, where the composition was varied in two phase (100% oil to 100% water) and three phase mixtures (oil/water mix to 100% gas). The DAS data was acquired continuously with a temporal sampling frequency of 40 kHz which enabled an analysis of both the transient and steady state flow behavior. Electronic reference hydrophone and accelerometer data were also acquired to provide insights in supporting the DAS interpretation. Results from the single phase (100% water) injection flow configuration display a direct relationship between the acoustic response of the DAS acquired data at the ICV position along the flow loop with respect to choke settings and flow rates. Multiphase production flow quantification for both ICV and AICD configurations are significantly more complex than single phase injection flow given the range of fluid mixtures that may be present in field acquired data, however initial results from flow loop data are encouraging and require continued investigation. The complete dataset acquired at the flow loop provides a novel resource for the development of machine learning models which utilize DAS acoustic features, as well as other available data such as pressure gauge measurements, to estimate both flow rates and fluid composition. The pairing of these technologies will enable a realtime quantification of inflow rates per zone and provide operators with the necessary data to optimize reservoir management.

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Maximizing Asset Value & Field Recovery with Advanced Completion Solutions – A Digital Twin Field Case Study with Multilateral, Intelligent Completion, and AICD Completion Technologies

Cited by 2 publications

References 12 publications

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

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

Distributed Acoustic Sensing of Passive and Active Inflow Control Technology and Quantification of Flow Rates for Reservoir Surveillance

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