A CFD- RSM study of cuttings transport in non-Newtonian drilling fluids: Impact of operational parameters

Awad, Abdelrahman M.; Hussein, Ibnelwaleed A.; Nasser, Mustafa S.; Ghаni, Sаud; Mahgoub, Ahmed Osama

doi:10.1016/j.petrol.2021.109613

Cited by 13 publications

(8 citation statements)

References 27 publications

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“…Since an isothermal condition is assumed in this work, and the pressure difference is quite small, the gas–liquid interfacial tension is believed to be constant and thus not considered. Based on the Box–Behnken design, − a response surface analysis with four factors and three levels is performed. The influences of pressure difference, drilling mud density, drilling mud viscosity, and fracture width on the leakage rate and gas invasion rate are quantified.…”

Section: Influences Of Engineering and Geological Parameters On Gas–l...mentioning

confidence: 99%

Numerical Simulation of Gas–Liquid Gravity Displacement in Vertical Fractures during Drilling of Carbonate Formations

Peng

Deng

et al. 2023

ACS Omega

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In petroleum drilling, carbonate formations characterized by natural fractures can result in troublesome gas–liquid gravity displacement, which refers to the phenomenon that the drilling mud leakage and gas kick are simultaneously triggered. This work focuses on clarifying the mechanism of gas–liquid displacement in vertical fractures during the drilling of carbonate formations and investigating the characteristics of gas–liquid displacement under various conditions. First, the bottom hole pressure allowing for gas–liquid gravity displacement is analyzed, which determines the coexistence condition of leakage and kick in vertical fractures. Then, a theoretical model of gas–liquid displacement flow in a vertical fracture is established. To verify the reliability and accuracy of the model, the results of numerical simulation are compared with those of a visualization experiment. The development process and flow characteristics of gas–liquid displacement in the fracture under different conditions are numerically simulated. The effects of pressure difference, drilling mud property, and fracture geometry on the gas–liquid displacement rate are analyzed. It is found that the drilling mud leakage rate increases with the increase of fracture width, fracture height, and drilling mud density, while it decreases with the increase of pressure difference and fracture length. The gas invasion rate increases with the increase of fracture width, fracture height, and pressure difference, while it decreases with the increase of drilling mud density and fracture length. The equations for leakage rate and gas invasion rate are derived by the response surface method, and the methods for mitigating gas–liquid gravity displacement are discussed. It is expected that the present work provides a better understanding of the gas–liquid gravity displacement in carbonate formations.

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Section: Influences Of Engineering and Geological Parameters On Gas–l...mentioning

confidence: 99%

Numerical Simulation of Gas–Liquid Gravity Displacement in Vertical Fractures during Drilling of Carbonate Formations

Peng

Deng

et al. 2023

ACS Omega

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“…Another approach for investigating cutting transport is the use of computational fluid dynamics (CFD) simulations. [20][21][22][23] CFD simulations can provide detailed information of multiphase flow under a wide range of conditions and can be used to solve the problems of inaccurate predictions of empirical and mechanism models owing to the limitations of experimental conditions. Many scholars 22,[24][25][26][27][28][29][30] have used the CFD method to simulate the transport law of cuttings in an annulus and compared the simulation results with the experimental results.…”

Section: Introductionmentioning

confidence: 99%

“…Another approach for investigating cutting transport is the use of computational fluid dynamics (CFD) simulations 20–23 . CFD simulations can provide detailed information of multiphase flow under a wide range of conditions and can be used to solve the problems of inaccurate predictions of empirical and mechanism models owing to the limitations of experimental conditions.…”

Section: Introductionmentioning

confidence: 99%

Transient cutting transport model for horizontal wells with a slim hole

Huang

et al. 2022

Energy Science & Engineering

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Compared with conventional drilling methods, the method of drilling horizontal wells with a slim hole (HW‐SH) has advantages, such as high productivity, environment‐friendliness, and low costs. However, during the drilling process, the narrow annulus may become blocked, which may lead to an increase in the annulus pressure if the wellbore is not clean. This often leads to serious drilling accidents, such as sticking and leaking formations. Many models have been used to study the cutting transport law in an annulus, but the influence of drill‐pipe rotation on cutting transport is often ignored and weakened in these models. None of the existing models can effectively simulate the cutting transport law of an entire well section. Therefore, using these models to predict the cutting transport law in the annulus of the HW‐SH will cause significant errors. In this study, the authors first establish a pipeline model of the same size as the on‐site annulus using computational fluid dynamics (CFD). Subsequently, a one‐dimensional (1D) two‐layer model that uses three correction factors to express the influence of drill‐pipe rotation on cutting transport and annulus pressure loss is developed. Finally, the parameters in the 1D model are calibrated using the CFD simulation results to accurately predict the cutting transport behavior and annular pressure loss. From the calculation results of the annulus cutting quality, annulus section‐cutting concentration, and annulus pressure drop, it was observed that the two algorithms proposed in this study have a high degree of coincidence, thereby confirming the reliability of the model. The 1D model provides close to three‐dimensional (3D) accuracy at a much shorter central processing unit time than the 3D CFD models. In addition, the accuracy of the developed model was verified using the results of an indoor pipeline two‐phase flow experiment conducted at the University of Tulsa, without considering the rotation of the drill pipe.

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“…The RSM developed statistical models for cuttings transport in non-Newtonian drilling fluids. [20] Many researchers have recently applied innovative modelling techniques in petroleum engineering calculations, namely machine learning (ML). Zendehboudi et al and Sircar et al [21,22] represented comprehensive reviews of the machine learning methods in petroleum engineering applications.…”

Section: Introductionmentioning

confidence: 99%

“…The RSM developed statistical models for cuttings transport in non‐Newtonian drilling fluids. [ 20 ]…”

Section: Introductionmentioning

confidence: 99%

Prediction of critical total drawdown in sand production from gas wells: Machine learning approach

et al. 2022

Self Cite

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Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are proven to lack accuracy or use commercial software. Furthermore, the previous correlations have not studied the trend analysis to verify the correct relationships between the parameters. Therefore, this study aims to build accurate and robust models for predicting CTD using response surface methodology (RSM) and support vector machine (SVM). The RSM is utilized to obtain the equation without using any software. The SVM model is an alternative method to predict the CTD with higher accuracy. This study used 23 datasets to develop the proposed models. The CTD is a strong function of the total vertical depth, cohesive strength, effective overburden vertical stress, and transit time with correlation coefficients (R) of 0.968, 0.963, 0.918, and À0.813. Different statistical methods, that is, analysis of variance (ANOVA), F-statistics test, fit statistics, and diagnostics plots, have shown that the RSM correlation has high accuracy and is more robust than correlations reported in the literature. Moreover, trend analysis has proven that the proposed models ideally follow the correct trend. The RSM correlation decreased the average absolute percent relative error (AAPRE) by 12.7% compared to all published correlations' AAPRE of 22.6%-30.4%. The SVM model has shown the lowest AAPRE of 6.1%, with the highest R of 0.995. The effects of all independent variables on the CTD are displayed in three-dimensional plots and showed significant interactions.

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A CFD- RSM study of cuttings transport in non-Newtonian drilling fluids: Impact of operational parameters

Cited by 13 publications

References 27 publications

Numerical Simulation of Gas–Liquid Gravity Displacement in Vertical Fractures during Drilling of Carbonate Formations

Numerical Simulation of Gas–Liquid Gravity Displacement in Vertical Fractures during Drilling of Carbonate Formations

Transient cutting transport model for horizontal wells with a slim hole

Prediction of critical total drawdown in sand production from gas wells: Machine learning approach

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