Application of water-soluble polymers as calcium carbonate scale inhibitors in petroleum wells: A uni- and multivariate approach

Fernandes, Rafael da Silva; Santos, Wanessa D.L.; Lima, Djalan F. de; Souza, Miguel Ângelo Fonseca de; Castro, Bruno Barbosa; Balaban, Rosângela de Carvalho

doi:10.1016/j.desal.2021.115201

Cited by 19 publications

(4 citation statements)

References 37 publications

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“…The device was designed to analyze scale formation in a capillary tube by the mixing of two feed streams as a once-through system. Originally, the instrument was designed to monitor the efficacy of chemical antiscalants by dosing an additional chemical via a third feed stream. , The instrument was modified for our purposes by Scaled Solutions. Specifically, additional tubing was added which enabled us to attach a magnetic treatment device (indicated as “MWT” in Figure ).…”

Section: Materials and Methodsmentioning

confidence: 99%

Rare Earth Magnets and Limescale: Analysis of Magnetic Water Treatment Using a Dynamic Scale Rig

Lombard¹,

Zijl²,

Bertossi³

et al. 2022

Ind. Eng. Chem. Res.

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Treatment of limescale build-up in process-and municipal pipes by magnetic water treatment has been a topic of research for decades. However, there is no realistic mechanistic hypothesis as to why such treatments would be effective. Therefore, a test regime was established to explore scale inhibition by means of magnetic forces in a robust and reproducible manner. In this study, two magnetic devices were developed using Neodymium-based rare earth magnets for the application of static magnetic fields. One device, based on a Halbach array, is designed to test high-intensity (965 mT) magnetic fields. The other is based on a Halbach trap arrangement, designed to test high magnetic field gradients (490 mT, 82.5 T/m). The precipitation reactions of calcium carbonate, calcium sulfate, and calcium phosphate were monitored in real-time to determine the effectiveness of these devices for inhibiting scale. No magnetic treatment effects were observed.

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Section: Materials and Methodsmentioning

confidence: 99%

Rare Earth Magnets and Limescale: Analysis of Magnetic Water Treatment Using a Dynamic Scale Rig

Lombard¹,

Zijl²,

Bertossi³

et al. 2022

Ind. Eng. Chem. Res.

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“…The scale inhibition performance of polymers depends largely on their structural properties. [30,31] As an important link in synthesis, initiators affect both the reaction rate and the polymer structure. The system with hydrogen peroxide-ascorbic acid as the initiator was selected in this work to prevent other elements from entering the synthetic environment.…”

Section: Scale Inhibition Of Ia-hemamentioning

confidence: 99%

Synthesis, Performance and Mechanism of an Anionic Scale Inhibitor in a Salt System

Luo,

Sun,

Wang

et al. 2023

ChemistrySelect

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A novel non‐phosphorus and non‐nitrogen scale inhibitor IA‐HEMA was synthesized in the presence of only C, H and O using itaconic acid (IA) and 2‐hydroxyethyl methacrylate (HEMA) as the raw materials and hydrogen peroxide‐ascorbic acid (H2O2‐ASA) as the initiating system. The synthesis conditions were optimized with the response surface method (RSM). The results indicated that the material ratio had the largest effect on the scale inhibition rate, followed by initiator dosage, polymerization temperature and polymerization time successively. As demonstrated by the static scale inhibition experiment, the scale inhibition rate was 97.27 % when the IA‐HEMA concentration was 100 mg/L. The mechanism was explored by molecular dynamics (MD). The results indicated that IA‐HEMA was able to overcome its own distortion and adsorb on the crystal surface, and the scale inhibition performance was related to its chelating and lattice‐distortion ability, which effectively inhibited the formation and precipitation of scale. All these findings suggest that IA‐HEMA is a quite promising environmentally friendly scale inhibitor in the salt system.

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“…A common and well-known methodology to evaluate inhibitor efficiency is the dynamic tube blocking test (TBT). It is usually applied to verify a product’s performance and minimum inhibitor concentration (MIC), allowing comparisona with other commercially available products. − TBT experiments are also used to study inorganic salt morphologies , and develop scale formation models. However, it is difficult to predict how the scaling process will develop using flow and phase behavior models due to the system’s complexity, the large number of variables, and some stochastic behavior.…”

Section: Introductionmentioning

confidence: 99%

Development of Artificial Neural Network Models for the Simulation of a CaCO₃ Scale Formation Process in the Presence of Monoethylene Glycol (MEG) in Dynamic Tube Blocking Test Equipment

et al. 2022

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The precipitation of gas hydrate and inorganic salts (scale) during oil and gas production represents a significant flow assurance hindrance for the industry. Chemical inhibitors can prevent the fouling process, but specific inhibitors to address a problem could result in synergistic or adverse effects. Simulations in tubes and pipelines are necessary to understand these behaviors by assessing the scaling tendency of the water. The primary objective of this study was to create models using an artificial neural network (ANN) of the multilayer perceptron (MLP) type for the simulation of the calcium carbonate scaling formation process in the presence of monoethylene glycol (MEG), a typical gas hydrate inhibitor. A database was obtained from 38 tube blocking test (TBT) experiments with different conditions. The models were developed using MATLAB R2020a, splitting the database into two groups on the ratio of 70:30, respectively, train and test ones, preserving the time dependency of the differential pressure (ΔP) data. The ANNs were created using six inputs (temperature, pressure, calcium and bicarbonate concentrations, MEG concentration, and ΔP measured at a selected time) and one output (ΔP measured at a later time). The goal was to explore how monitoring the conditions in a pipeline can predict the evolution of the scaling process. We investigated two scenarios for the ΔP prediction: a near future (one step ahead) and a far future (five steps ahead). The MLP models demonstrated high performance, with an R 2 higher than 92.9% for both training and test groups for both prediction horizons. Then, these models were tested with a second data group to evaluate their applicability to control the systems. The best models showed good scaling prediction, with R 2 ranging from 80.0% to 99.9%. These results represent a promising step toward applying machine learning techniques to simulate and predict scaling tendencies in controlled pipelines.

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Application of water-soluble polymers as calcium carbonate scale inhibitors in petroleum wells: A uni- and multivariate approach

Cited by 19 publications

References 37 publications

Rare Earth Magnets and Limescale: Analysis of Magnetic Water Treatment Using a Dynamic Scale Rig

Rare Earth Magnets and Limescale: Analysis of Magnetic Water Treatment Using a Dynamic Scale Rig

Synthesis, Performance and Mechanism of an Anionic Scale Inhibitor in a Salt System

Development of Artificial Neural Network Models for the Simulation of a CaCO₃ Scale Formation Process in the Presence of Monoethylene Glycol (MEG) in Dynamic Tube Blocking Test Equipment

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Application of water-soluble polymers as calcium carbonate scale inhibitors in petroleum wells: A uni- and multivariate approach

Cited by 19 publications

References 37 publications

Rare Earth Magnets and Limescale: Analysis of Magnetic Water Treatment Using a Dynamic Scale Rig

Rare Earth Magnets and Limescale: Analysis of Magnetic Water Treatment Using a Dynamic Scale Rig

Synthesis, Performance and Mechanism of an Anionic Scale Inhibitor in a Salt System

Development of Artificial Neural Network Models for the Simulation of a CaCO3 Scale Formation Process in the Presence of Monoethylene Glycol (MEG) in Dynamic Tube Blocking Test Equipment

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Product

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Development of Artificial Neural Network Models for the Simulation of a CaCO₃ Scale Formation Process in the Presence of Monoethylene Glycol (MEG) in Dynamic Tube Blocking Test Equipment