Hybrid analysis for excessive water production problem

Hazarika, Gaurav; Das, Minati; Pandian, Sivakumar

doi:10.1080/10916466.2021.2023178

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…In conclusion, the Chan plot effectively identified channeling as the main driver of water production. Recently, the Chan plot was utilized with two diagnostic methods: conventional plotting of water-cut over time and well card data, to identify causes of water production (Hazarika et al, 2022). The Chan plot effectively identified multilayer channeling and coning as the underlying causes of excessive water production.…”

Section: Coupling Chan Plot Interpretation With Other Diagnostic Toolsmentioning

confidence: 99%

A Review of Chan Plot Application and Recent Advanced Models for Diagnosing Excessive Water Production

Hamdoon,

Mohammed,

Elraies

2024

MGPB

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Water is one of the major fluids associated with the operational cycle of the oil industry that must be carefully considered due to its environmental, treatment facility, and economic impacts. Over the years, various methods have been developed to identify excessive water production. These methods range from reliable and expensive ones, such as well-logging records, to less accurate methods that utilize available production and water-oil ratio data, such as the Chan plot. The Chan plot emphasizes that well production can exhibit various patterns of excessive water production, including constant water-oil ratios, normal displacement, channeling, and coning. However, manual interpretation of these plots is often confusing due to the noise present in the actual data. Machine learning models have improved interpretation accuracy, but limitations remain in detecting evolving water production patterns. This paper reviews the application of Chan plots and their integration with existing diagnostic tools for diagnosing excessive water production. It then focuses on a recent advanced model that leverages machine learning specifically designed to improve the interpretation of Chan plots. The review highlights the limitations of traditional interpretation techniques and explores how the recent advanced model can address these limitations. Additionally, the paper briefly discusses the potential of an interactive model for the continuous monitoring of water production patterns. Finally, the paper offers recommendations for future research directions.

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Section: Coupling Chan Plot Interpretation With Other Diagnostic Toolsmentioning

confidence: 99%

A Review of Chan Plot Application and Recent Advanced Models for Diagnosing Excessive Water Production

Hamdoon,

Mohammed,

Elraies

2024

MGPB

View full text Add to dashboard Cite

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Research on Crack Sealing Performance of Polymer Microsphere/Hydrogel Composite System

Liu,

Li,

Luo

et al. 2024

Processes

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Owing to their excellent water-absorption and swelling properties, polymer microspheres have been extensively applied as deep profile control agents in oilfields. These microspheres effectively seal large pore-throat channels in reservoirs, optimizing the water-absorption profile. In this study, a composite system was developed, comprising polymer microspheres and polyacrylamide polymers, with the inclusion of a cross-linking agent. The system leverages the synergistic effects of polymer microspheres and other plugging techniques to efficiently seal fractured reservoirs. Results indicate that the composite system exhibits strong blocking and scour resistance due to enhanced network integrity, higher viscosity, and improved elastic strength. Additionally, the composite system demonstrates a notable self-repairing capability, maintaining a high sealing efficiency even after a waterflood breakthrough.

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Hybrid analysis for excessive water production problem

Cited by 2 publications

References 6 publications

A Review of Chan Plot Application and Recent Advanced Models for Diagnosing Excessive Water Production

A Review of Chan Plot Application and Recent Advanced Models for Diagnosing Excessive Water Production

Research on Crack Sealing Performance of Polymer Microsphere/Hydrogel Composite System

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