Optimization and Control-Based Modeling of Oil Field Development in the Lower Kura Depression: A Case Study of the Kurovdagh Field

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Authors: Gultar J. Nasibova, Shura Ali Ganbarova, Allahverdi Sh. Tagiyev, Sevil ZEYNALOVA, Esmira Mustafayeva, Mehmet Bayraktutan
Cited by: 1
References: 9

Abstract

This study proposes an integrated optimization and control-based approach for reservoir development analysis in the Kurovdagh oil field of the Lower Kura Depression. The methodology combines reservoir parameter evaluation with Shewhart statistical control charts to identify deviations in production performance, analyze water breakthrough processes, and support production optimization in mature reservoirs. Based on geological and production data, control charts were constructed to analyze oil production, water cut, injected water volumes, and well performance across multiple reservoir horizons, including Aghjagil, PS03, and PS06. This study further integrates production analysis with horizon-specific enhanced oil recovery (EOR) recommendations. Polymer flooding is proposed for horizon III to improve sweep efficiency, micellar waterflooding for the Aghjagil horizon, with an estimated recovery increase of 10–20%, and in situ combustion for horizon VI, with potential recovery improvements of up to 20%. Additional analysis of production fluctuations, water breakthrough processes, and reservoir heterogeneity was incorporated to improve the interpretation of abnormal production behavior. The results demonstrate that the proposed approach enhances hydrocarbon recovery efficiency, improves understanding of mature reservoir behavior, and supports data-driven optimization of production systems. The developed framework provides practical implications for long-term field management, reservoir monitoring, and production forecasting in mature oil fields.

Fields of Study & Subjects

Reservoir Engineering and Simulation Methods Enhanced Oil Recovery Techniques Hydraulic Fracturing and Reservoir Analysis

Publication details

Journal / source
Energies
Publisher
MDPI AG
Volume
19
Issue
12
Pages
2873–2873
Publication date
17 June 2026
Language
EN