Article

The development of a Mechanistic-Chemometrics model with multi-degree of freedom for pitting corrosion of HP-13Cr stainless steel under extremely oilfield environments

Authors:
  • Corrosion and Integrity Centre, Zhejiang JIULI Hi-Tech Metals Co. Ltd, Hu Zhou, China.
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Abstract

A multi-degree of freedom mechanistic-chemometrics model for predicting the pitting damage of HP-13Cr stainless steel is developed by combining the mechanistic models and chemometrics method. The mechanistic model is reconstructed by considering the effect of single factors, such as high temperature, high CO2 pressure, flow rates and complex stress distribution. The single mechanistic models are combined together considering the weight coefficients of variable interaction using the chemometrics method. Finally, the predicted results are validated by six-year-served field data, which indicates that the newly developed mechanistic-chemometrics model is accurate and highly reliable.

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... In the liquid phase, CO2 and H2S dissolve in the solution to produce the corrosive ions, including HS − , S 2− , CO3 2−, and HCO3 − ions [36,37]. The cathodic and anodic reactions in the solution are as follows [38]. ...
... In the liquid phase, CO 2 and H 2 S dissolve in the solution to produce the corrosive ions, including HS − , S 2− , CO 3 2−, and HCO 3 − ions [36,37]. The cathodic and anodic reactions in the solution are as follows [38]. ...
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... Hakon (Leth-Olsen, 2004) found that the formation of the corrosion product scales on 13Cr SS in formate fluids did not act as an effective barrier against corrosion, showing high-corrosion rates after several weeks of exposure, and the surface was covered by nonuniformed crystalline FeCO 3 , especially at 180°C (Leth-Olsen and others, 2005). Although the formation of the FeCO 3 layer plays a dominant role in retarding the corrosion rate, the corrosion resistance of S13Cr SS corresponds to a complicated corrosion product scales formation and evolution process, and that the amorphous/nanocrystalline inner layer provides better corrosion protection than outer FeCO 3 precipitation 21-25 under the ultradeep well conditions [temperatures beyond 180°C (Zhao et al., 2018;Yue et al., 2020aYue et al., , 2020bYue et al., , 2020cZhao et al., 2021a)]. The systematic study on the formation and evolution of the corrosion product scales on the S13Cr SS surface immersed in a formate fluid under HTHP condition, especially with the presence of aggressive substances such as sulfide or CO 2 is rare. ...
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... Material degradation is one of the main issues within the EOR production systems where casting, pipelines, or tubing suffer severe corrosion attacks due to the extreme environments in terms of high CO 2 pressure beyond 28 bar, temperatures of 182-225 • C, and chloride contents beyond 80,000 ppm [3,4]. Due to these environmental effects, stainless steels (SSs) have been considered for such aggressive environments based on their good corrosion resistance. ...
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... And the stress and strain distribution and K are updated after every time step. The calculated pitting depth of HP-13Cr SS depending on time with tensile stress and stress-free conditions is shown in Fig. 20, which is consistent with the literature and field date [54]. ...
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We study the corrosion performance of Cr bearing low alloy pipeline steel (Cr3MoNi) in CO2 saturated formation water, under both static and flowing conditions. Cross-sectional morphologies of corrosion scales at progressively increased test duration are observed by scanning electron microscopy. The characteristic of the corrosion scales are investigated by energy dispersive X-ray spectroscopy and X-ray diffraction. Our results show that the corrosion rate of Cr3MoNi steel at flowing condition is higher than that of static condition, and the degree of Cr enrichment in the scales at flowing condition is also higher. Flow also makes ions distribute evenly in the solution close to the specimen, leading to a uniform distribution of Cr compound in the amorphous corrosion scales. In this way, flow suppresses the presence of the potential pits and also leads to a more flat scale/substrate interface.
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Integral damage functions for Type 403 stainless steel (SS) in borate buffer solution containing chloride ion have been experimentally determined. The pits are of an open morphology, thereby rendering effective determination of the damage functions using optical microscopy. Extensive pit coalescence caused the measurement of the damage functions to be less accurate than desired and, in some instances, rendered their measurement impossible. Accordingly, the Deterministic Extreme Value Statistics (DEVS) protocol of Damage Function Analysis (DFA) is adopted as a convenient means of presenting pitting damage in terms of the growth of the deepest pit in the population. A similar analysis is reported for A470/471 steel, where an insufficient population of shallow, pan-shaped pits precludes DFA, which requires a large population. In this case, too, DEVS is used to extrapolate maximum pit depth to a longer time (750 h) after calibrating the model on shorter term data (24 h and 240 h). The experimental maximum pit depth distribution for 750 h is in good agreement with that predicted from the calibrated DEVS, thereby demonstrating the veracity of the method. The maximum pit depth distributions on Type 403 SS and A470/471 steel surfaces do not display the increasing trend with increasing applied potential and chloride concentration. The large depth distribution and/or a large ohmic potential drop inside a pit under a thick adherent layer of corrosion product, probably have “buried” the effects of applied potential and chloride concentration.
Article
The galvanic corrosion of copper/AISI 316L stainless steel couples has been studied under different temperatures and flowing conditions in heavy LiBr brines. The mixed potential theory, zero-resistance ammeter and weight loss measurements were performed. Temperature and Reynolds number increase galvanic corrosion rates of copper. Statistical analysis by means of multilevel factorial design reveals that temperature greatly affects galvanic current densities. Additionally, the mixed potential theory suggests that thermogalvanic corrosion may occur when the materials of the pair work at different temperatures. The most important increase of current densities due to thermogalvanic effects takes place at high Reynolds numbers with the highest difference of temperature between copper/AISI 316L pairs and the anode operating at 25 °C. The results obtained with the different techniques are in good agreement.
Article
In this work, the effect of uniaxial elastic stress on corrosion of X100 pipeline steel in a near-neutral pH solution was investigated by localized electrochemical impedance spectroscopy (LEIS), corrosion potential and electrochemical impedance measurements, surface analysis techniques as well as finite element analysis. No effect of the static elastic stress on electrochemical corrosion potential of the steel is detected. The critical failure strain of corrosion scale formed on the steel surface is calculated to be 0.00357–0.00417, which is higher than the maximum strain of 0.0029 generated on the specimen. Thus, corrosion scale does not fracture during loading. No difference in the steady-state corrosion potential could be detected upon application of an elastic tensile or compressive stress. If the scale is pre-formed on the steel surface, the applied dynamic elastic load would “weaken” the scale by expanding its pores, and thus, increase the steel corrosion. While a dynamic tensile stress enhances the steel corrosion, the dynamic compressive stress would inhibit corrosion of the steel. This work provides important recommendations for pipeline safety design, where the corrosion enhancement due to the dynamic elastic stress should be considered.
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The carbon dioxide corrosion behaviour of HP13Cr110 stainless steel in simulated stratum water is studied by potentiodynamic curve and electrochemical impedance spectroscopy (EIS); the micro-structure and composition of the corrosion scale formed at high-temperature and high-pressure are analyzed by scanning electron microscopy (SEM), X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS). The results show that 13Cr stainless steel is in passive state in the stratum water, the passive current density increases and the passive potential region decreases with increasing temperature. The corrosion scale formed at high-temperature and high-pressure is mainly composed of iron/chromium oxides and a little amount of FeCO3.
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The effects of chromate on the open-circuit repassivation of the guillotined aluminium electrode in chloride solutions are presented. The presence of chromate causes the entire transient to lie at higher potential, thereby accelerating repassivation. Reactivation of the repassivating surface observed in pure chloride solution is eliminated by the presence of chromate. Some implications of the results are discussed.
Article
A theoretical carbon dioxide (CO2) corrosion model was used to conduct numerical experiments, which allowed total in- sight into the underlying physicochemical processes. The focus was on factors influencing protective iron carbonate film formation and the effect that these films have on the CO2 corrosion process. It was confirmed that high bulk pH, high temperature, high partial pressure of CO2, high Fe 2+ concen- tration, and low velocity all lead to favorable conditions for protective iron carbonate film formation. The model can be used to identify threshold values of these parameters. Corro- sion rate was not strongly correlated with protective film thickness. The so-called surface film "coverage" effect ap- peared to be more important. Corrosion rates decreased rap- idly as the film density increased. It was shown that in the presence of dense films diffusion of dissolved CO2 through the film is the main mechanism of providing the reactants to the corrosion reaction at the metal surface. It was demon- strated that "detached" films have poor protective properties even when they are very dense. Serious errors in prediction/ reasoning can be made by operating with bulk instead of surface water chemistry conditions. The former is made possible by using advanced models such as the one used in the present study.
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A stochastic model previously developed by the authors using Markov chains has been improved in the light of new experimental evidence. The new model has been successfully applied to reproduce the time evolution of extreme pitting corrosion depths in low-carbon steel. The model is shown to provide a better physical understanding of the pitting process.
Article
Relationships are established which describe the evolution of the corrosion potential of freshly generated aluminium with time during repassivation. The relationships explain quantitatively the empirical observation that the free corrosion potential of freshly generated aluminium surfaces increases linearly with log t during repassivation by oxide film growth. In some solutions deviation from this linearity towards higher values of ∂E/∂ log t is caused by the presence of dissolved oxygen.
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The influence of applied macrostress on the pitting susceptibility of a 12%CrMoV martensitic stainless steel in a de-aerated caustic solution containing chloride at 373K has been investigated and discussed.
Article
A recently developed model for predicting the repassivation potential has been applied to stainless steels and nickel-base alloys in aqueous environments containing chlorides and various inhibiting anions. The model accounts for the effects of solution chemistry and temperature on the repassivation of localized corrosion by considering competitive dissolution, adsorption, and oxide formation processes at the interface between the metal and the occluded site solution. An extensive database of repassivation potentials has been established for six alloys (UNS 31603, N06600, N06690, S31254, S32205, and UNS S41425) in contact with solutions that combine chlorides with hydroxides, molybdates, vanadates, sulfates, nitrates, and nitrites at various concentrations and temperatures. Also, repassivation potentials are reported for four alloys (UNS N08367, N08800, N06625, and N10276) in chloride solutions. The database has been used to establish the parameters of the model and verify its accuracy. The model quantitatively predicts the transition between concentrations at which localized corrosion is possible and those at which inhibition is expected. It is capable of predicting the repassivation potential over wide ranges of experimental conditions using parameters that can be generated from a limited number of experimental data. The parameters of the model have been generalized as a function of alloy composition, thus making it possible to predict the repassivation potential for alloys that have not been experimentally investigated.
Article
Potentials for the thermal cell (25°C) as a function of the concentration of and temperature are reported. The thermal cell potentials are combined with isothermal potentials for the silver‐silver chloride electrode at elevated temperatures to calibrate external electrodes as pseudothermodynamic standards for the investigation of electrochemical processes in high temperature aqueous systems.
Article
In this paper, we provide an alternative, more general theoretical basis for damage function analysis (DFA), by drawing an analogy between the growth of a pit and the movement of a particle. In contrast to our previous formulation of DFA, which was developed specifically for enabling the damage function for localized corrosion to be calculated from the point defect model for passivity breakdown, the coupled environment pitting model for pit growth, and the theory of prompt and delayed repassivation, the new formulation readily incorporates any theories or models (deterministic or empirical) for these stages in the development of a pit. We show that the new formulation leads to the original expressions for the damage functions for active (living) and passivated (dead) pits, and hence for the differential and integral damage functions, as were obtained from the original theory. We also describe the unification of deterministic (damage function analysis, DFA) and empirical, statistical (extreme value statistics, EVS) methods for predicting the development of localized corrosion damage on metal surfaces. In particular, we have devised a means of estimating the central and scale parameters of EVS directly from DFA in a “first principles” manner, as well as from fitting the EVS distribution function to experimental data for short times, in order to predict the extreme value distributions at longer times. The techniques have been evaluated on EVS data for the pitting of manganese steel in CO2-acidified seawater and for the pitting of aluminum in tap water. Finally, we outline the generalization of pit nucleation, as described by the point defect model, for external conditions that depend on time.