Unified Pressure Loss Prediction for Fluctuating Total Gas Liquid Ratio in Gas-Lift Wells: A Revolutionary Novel Method

Abstract In gas-lift wells with highly fluctuating total gas-liquid ratios (TGLR) in production fluid, conventional pressure loss prediction methods often fail, leading to significant uncertainties in well performance diagnostics. This paper introduces a novel, real-time algorithm and correlation-based method to dynamically predict pressure losses, eliminating the need for multiple pressure loss correlations (Moreno et al., 2020). The proposed methodology utilizes the "N" factor, derived from extensive flowing gradient surveys (FGS), to account for shifting flow regimes and slip velocities. Validated through field tests, this invention enhances operational efficiency, bottomhole pressure (BHP) predictions, and well optimization. Additionally, this paper delves deeper into the technological advancements and real-world applications, offering an exhaustive comparison between traditional and novel methods, as well as providing comprehensive industry examples and details to illustrate the theoretical underpinnings of the novel methodology.

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Publication Details

Journal
Offshore Technology Conference
Published
2025-04-27
DOI
https://doi.org/10.4043/35740-ms
Citations
1
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
2.13
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article

Unified Pressure Loss Prediction for Fluctuating Total Gas Liquid Ratio in Gas-Lift Wells: A Revolutionary Novel Method

Virender Singh, Somenath Kar, Vikash Kumar, Nakul Varma et al.
1 citations
Offshore Technology Conference
Reservoir Engineering and Simulation Methods
2.13
article

Unified Pressure Loss Prediction for Fluctuating Total Gas Liquid Ratio in Gas-Lift Wells: A Revolutionary Novel Method

Virender Singh, Somenath Kar, Vikash Kumar, Nakul Varma, Dinesh Khandelwal, A. K. Bhattacharjee, Vaibhav Deshpandey, Chitwan Garg
article en
1 citations

Abstract

Abstract In gas-lift wells with highly fluctuating total gas-liquid ratios (TGLR) in production fluid, conventional pressure loss prediction methods often fail, leading to significant uncertainties in well performance diagnostics. This paper introduces a novel, real-time algorithm and correlation-based method to dynamically predict pressure losses, eliminating the need for multiple pressure loss correlations (Moreno et al., 2020). The proposed methodology utilizes the "N" factor, derived from extensive flowing gradient surveys (FGS), to account for shifting flow regimes and slip velocities. Validated through field tests, this invention enhances operational efficiency, bottomhole pressure (BHP) predictions, and well optimization. Additionally, this paper delves deeper into the technological advancements and real-world applications, offering an exhaustive comparison between traditional and novel methods, as well as providing comprehensive industry examples and details to illustrate the theoretical underpinnings of the novel methodology.

Offshore Technology Conference
Oil and Natural Gas Corporation (India) (IN)
Openalex Percentile: Top 14%
Reservoir Engineering and Simulation Methods
2.13
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