Influence of the polymer degradation on enhanced oil recovery processes

Druetta, Pablo; Picchioni, Francesco

doi:10.1016/j.apm.2018.11.051

Cited by 20 publications

(11 citation statements)

References 59 publications

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“…Modern management and coordination facilities for the various systems of oil production operations require the qualitative development and implementation of appropriate mathematical models that represent the various processes of these systems and provide qualitative optimisation of oil production processes under real-world conditions [24][25][26][27]. The division of these systems into subsystems with the allocation of the main management functions and the organisation of quality interaction between the individual parts of the management system ultimately has a positive impact on the efficiency of their interaction and ensures a positive final result.…”

Section: Discussionmentioning

confidence: 99%

Mathematical Models for Oil Production Optimization in Fuzzy Environments: Well Stock Forecasting and Regulation

Issa,

Orazbayev,

Tuleuova

et al. 2024

MMEP

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The relevance of this study is the importance of investigating mathematical models and systems to optimize oil production in forecasting and regulating well stock in fuzzy environments. The purpose was to assess the practical application of Markov chain models and fuzzy set theory to optimize oil production. This study specifically analyzed operating and idle well stocks in Kazakhstan's Kenkiyak oil field using a Markov chain system of equations. Fuzzy set theory was then applied to model linguistic relationships between oil production parameters like depth and porosity. The Markov model successfully predicted linear asymptotes of well stock over time and assessed impacts of changing repair crew productivity. The fuzzy approach effectively modeled the dependence of production efficiency on depth and reservoir rock porosity. Results showed a 15% improvement in forecasting accuracy and a 10% increase in production efficiency. This demonstrates the value of mathematical models in optimizing realworld oil production processes and their ability to enhance management system performance. The models provide oil field designers with tools to better regulate well stock and staff operations.

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Section: Discussionmentioning

confidence: 99%

Mathematical Models for Oil Production Optimization in Fuzzy Environments: Well Stock Forecasting and Regulation

Issa,

Orazbayev,

Tuleuova

et al. 2024

MMEP

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“…Degradation of the polymer leads to a reduction in molecular weight and diminishes the thickening ability of the polymer. Polymer degradation is a function of time and is described by the following formula [45]:…”

Section: Physical Properties Rheology and Degradationmentioning

confidence: 99%

Simulation of Polymer Chemical Enhanced Oil Recovery in Ghawar Field

Berger¹,

Picchioni²,

Druetta³

2022

Energies

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This paper presents a 2D model of the Ghawar field and investigates the flow behavior in the field during secondary and tertiary recoveries using a simplified well scheme. For the latter, the focus is on chemical Enhanced Oil Recovery (EOR), using polymer solutions. The difference in efficiency between secondary and tertiary recovery and the influence of factors such as degradation are analyzed and presented. Furthermore, the influence of oil viscosity on the recovery factor is investigated as well as the efficiency of the well placement of the model studied. In order to do this, a combined shear-thinning/-thickening model, the Unified Viscosity Model (UVM), is used. COMSOL Multiphysics is used in order to study the model, combining the fluid flow and mass transfer in one study, showing the interdependence of both physics transport phenomena. The results show how the influence of the polymer properties and the rock formation affect the recovery behavior. The particle tracing study allows us to determine the percentage of the chemical agent recovered in the producing wells. This paper shows how EOR agents works coupled with advanced numerical models in real-scale fields.

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“…Ronin E. et al [19] numerically evaluated the interaction of polymer solutions between mechanochemical degradation at a molecular scale and laminar flow at a macroscale, allowing to minimize the technological gap of the degradation phenomenon at a molecular scale. Duretta P & Picchioni F. [20] developed a numerical model that estimates the efficiency of oil recovery in the reservoir by comparatively evaluating recovery using water and polymer solution. It is estimated 30% more recovery using polymers.…”

Section: Experimental Developmentmentioning

confidence: 99%

Experimental evaluation of the mechanical degradation of HPAM polymeric solutions used in Enhanced Oil Recovery

Herrera

Maya

Prada

et al. 2020

CT&F Cienc. Tecnol. Futuro

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With the design of experiments (DoE), this study analyses the influence of physical (capillary diameter and pressure drop) and chemical variables (salinity, polymer concentration, and molecular weight) on the mechanical degradation of partially hydrolyzed polyacrylamide-type polymer solutions (HPAM) used in enhanced oil recovery processes. Initially, with the help of a fractional factorial design (2k-p), the variables with the most significant influence on the polymer's mechanical degradation were found. The experimental results of the screening demonstrate that the factors that statistically influence the mechanical degradation are the molecular weight, the diameter of the capillary, and the pressure differential. Subsequently, a regression model was developed to estimate the degradation percentages of HPAM polymer solutions as a function of the significant factors influencing the mechanical degradation of polymer solutions. This model had a 97.85% fit for the predicted values under the experimental conditions. Likewise, through the optimization developed by the Box Behnken response surface methodology, it was determined that the pressure differential was the most influential factor. This variable was followed by the capillary diameter, where less than 50% degradation rates are obtained with low polymer molecular weight (6.5 MDa), pressure differentials less than 500 psi, and diameters of the capillary greater than 0.125 inches.

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Influence of the polymer degradation on enhanced oil recovery processes

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Cited by 20 publications

References 59 publications

Mathematical Models for Oil Production Optimization in Fuzzy Environments: Well Stock Forecasting and Regulation

Mathematical Models for Oil Production Optimization in Fuzzy Environments: Well Stock Forecasting and Regulation

Simulation of Polymer Chemical Enhanced Oil Recovery in Ghawar Field

Experimental evaluation of the mechanical degradation of HPAM polymeric solutions used in Enhanced Oil Recovery

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