From From Bubbles to Breakthroughs: Decoding Reservoir Fluid Dynamics for Breakthroughs in Norwegian Oil Field Management

Summary This paper explores advanced approaches to reservoir fluid dynamics in Norwegian oil fields, emphasizing the use of cutting-edge technologies to optimize oil recovery and reservoir management. It highlights the challenges of interpreting fluid phase behavior during depletion and gas injection, particularly in depleted reservoirs with complex gas/oil contacts. The study underscores the transformative role of Real-Time Fluid Identification (RFID) technology, which improves accuracy in fluid type identification during drilling, enabling real-time adjustments and better decision-making. Case studies demonstrate the application of RFID and Logging-While-Drilling (LWD) technologies to optimize well completions, enhance oil recovery, and resolve ambiguities in traditional petrophysical evaluations. For instance, RFID helped identify oil zones and gas-oil contacts, increasing production efficiency. The paper concludes that integrating advanced data acquisition methods, machine learning, and interdisciplinary collaboration is essential to improving hydrocarbon recovery, extending the economic viability of mature fields, and ensuring efficient reservoir management.

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Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.202535010
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
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article

From From Bubbles to Breakthroughs: Decoding Reservoir Fluid Dynamics for Breakthroughs in Norwegian Oil Field Management

Gulnar Yerkinkyzy, F. Ungar, S. Donnadieu, María Cecilia Bravo et al.
Reservoir Engineering and Simulation Methods
article

From From Bubbles to Breakthroughs: Decoding Reservoir Fluid Dynamics for Breakthroughs in Norwegian Oil Field Management

Gulnar Yerkinkyzy, F. Ungar, S. Donnadieu, María Cecilia Bravo, Tao Yang
article en

Abstract

Summary This paper explores advanced approaches to reservoir fluid dynamics in Norwegian oil fields, emphasizing the use of cutting-edge technologies to optimize oil recovery and reservoir management. It highlights the challenges of interpreting fluid phase behavior during depletion and gas injection, particularly in depleted reservoirs with complex gas/oil contacts. The study underscores the transformative role of Real-Time Fluid Identification (RFID) technology, which improves accuracy in fluid type identification during drilling, enabling real-time adjustments and better decision-making. Case studies demonstrate the application of RFID and Logging-While-Drilling (LWD) technologies to optimize well completions, enhance oil recovery, and resolve ambiguities in traditional petrophysical evaluations. For instance, RFID helped identify oil zones and gas-oil contacts, increasing production efficiency. The paper concludes that integrating advanced data acquisition methods, machine learning, and interdisciplinary collaboration is essential to improving hydrocarbon recovery, extending the economic viability of mature fields, and ensuring efficient reservoir management.

Equinor (United Kingdom) (GB)
Openalex Percentile: Top 66%
Reservoir Engineering and Simulation Methods
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From From Bubbles to Breakthroughs: Decoding Reservoir Fluid Dynamics for Breakthroughs in Norwegian Oil Field Management — Gulnar Yerkinkyzy, F. Ungar, et al. · (2025) | TGRS Research Map | TGRS