Accurate Estimation of Minimum Miscibility Pressure During Nitrogen Injection into Hydrocarbon Reservoirs

Rostami, Alireza; Kamari, Arash; Joonaki, Edris; Ghanaatian, Shima

doi:10.3997/2214-4609.201801525

Cited by 3 publications

(3 citation statements)

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“…A database with the feature of all-inclusiveness makes the constructed model to be applied for a wider ranges of operational conditions. In other words, the proposed model is not limited to a specific condition and can be employed for mathematical description of the interest phenomenon at different conditions [35,[44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62]. In present research, 431 datapoints of permeability reduction values as a function of temperature, differential pressure, volume of injected water, initial permeability, flowrate, and ionic concentrations of cationic species (i.e., strontium, calcium and barium) and anionic species (i.e., sulfate) is taken from the open literature (see Supplementary Material) [40][41][42][43].…”

Section: Data Gatheringmentioning

confidence: 99%

Application of a new approach for modeling the oil field formation damage due to mineral scaling

Rostami

Shokrollahi

Shahbazi

et al. 2019

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Mineral scaling has been considered a great concern for developing the oil production from the underground petroleum reservoirs. One of the main causes of this phenomenon is known as the chemical incompatibility of injected brine, frequently sea water, with the reservoir brine leading to the deposition of various supersaturated salts such as calcium carbonate, calcium sulfate and barium sulfate. In present communication, an evolutionary approach namely, Gene Expression Programming (GEP), was employed for rigorous modeling of formation damage by mineral scaling of mixed sulfate salt deposition. At first, a large databank of damaged permeability datapoints as a function of injected volume, injection flowrate, temperature, differential pressure and ionic concentrations of the existing chemical species in the porous media was employed. In this regard, a user-friendly correlation was extended for the first time by the aforementioned technique in the literature. Professional evaluation of the suggested GEP-based model was implemented by different statistical parameters and appealing visualization tools. Having proposed the GEP-based correlation, statistical parameters of the Average Absolute Relative Deviation Percent (AARD%) of 0.640% and determination coefficient (R2) of 0.984 was calculated. Accordingly, it is demonstrated that the proposed model has a superior performance and great potential for efficient prediction of damaged permeability due to the mixed sulfate salt scaling. Moreover, the implemented outlier diagnosis technique verified the validity of the databank used for modeling, as well as the high robustness of the suggested model was confirmed. In conclusion, the developed correlation in this work can be of enormous practical value for skillful engineers and scientists in any academic study and industrial applications dealing with mixed salt deposition.

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Section: Data Gatheringmentioning

confidence: 99%

Application of a new approach for modeling the oil field formation damage due to mineral scaling

Rostami

Shokrollahi

Shahbazi

et al. 2019

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…The bulk of studies have demonstrated that extension of a reliable and robust model is highly in the need of a comprehensive and wide‐ranging databank . Hence more than 140 datapoints of silica solubility in association with pressure and boiler water silica content are taken from the open literature .…”

Section: Resultsmentioning

confidence: 99%

“…The bulk of studies have demonstrated that extension of a reliable and robust model is highly in the need of a comprehensive and wide-ranging databank [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46]. Hence more than…”

Section: Data Preparationmentioning

confidence: 99%

Rigorous silica solubility estimation in superheated steam: Smart modeling and comparative study

Rostami

Shokrollahi

Esmaeili‐Jaghdan

et al. 2018

Env Prog and Sustain Energy

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One of the main issues of wastewater treatment is the silica deposition in steam turbines. Evaporation of silica with the steam in adequate concentration is one of the main sources of scale formation in steam turbines. In this study, the authors introduce the utilization of a genetic‐based approach—gene expression programming (GEP)—for solubility prognostication of the silica in superheated steam of boilers with respect to water silica content and pressure. The result of GEP mathematical approach is a new algebraic formula to achieve our goals. Developed model predicts the silica solubility in the range of 0.8–22.1 MPa and 1–500 mg/kg for pressure and boiler water silica content, respectively. The results show that the constructed model outperforms pre‐existing method and provides acceptable predictions with average absolute relative deviation (AARD%) of 9.46% and determination coefficient (R2) of 0.98. Outcomes of the performed sensitivity analysis reveal that the effect of pressure is more pronounced than the impact of the boiler water silica content on the estimation of the silica solubility. Moreover, an outlier analysis based on Leverage approach was performed confirming the validity of the used database in this study. Finally, it can be concluded that the recommended tool in this study can be a suitable candidate for prognosticating the silica scaling in industries dealing with steam. © 2018 American Institute of Chemical Engineers Environ Prog, 38:e13089, 2019

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Modeling heat capacity of ionic liquids using group method of data handling: A hybrid and structure-based approach

Rostami

Hemmati-Sarapardeh

Karkevandi-Talkhooncheh

et al. 2019

International Journal of Heat and Mass Transfer

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Accurate Estimation of Minimum Miscibility Pressure During Nitrogen Injection into Hydrocarbon Reservoirs

Cited by 3 publications

References 0 publications

Application of a new approach for modeling the oil field formation damage due to mineral scaling

Application of a new approach for modeling the oil field formation damage due to mineral scaling

Rigorous silica solubility estimation in superheated steam: Smart modeling and comparative study

Modeling heat capacity of ionic liquids using group method of data handling: A hybrid and structure-based approach

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