Experimental Evaluation of the Effect of Drillstring Rotation in the Suspension of a Cuttings Bed

Loureiro, Bruno Venturini; Paula, Robson Soares; Serafim, Maurício Custódio; Martins, André Leibsohn

doi:10.2118/122071-ms

Cited by 7 publications

(8 citation statements)

References 4 publications

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“…Therefore, mud rheology [20][21][22][23][24], particle size [20,21,23,25,26], and drillpipe rotation [6,24,27] continued to be studied.…”

Section: The Effects Mud Rheology Particle Size and Drillpipe Rotatimentioning

confidence: 99%

“…In previous studies, equivalent cuttings bed height [14,25,41,42,[44][45][46], cuttings concentration [25,43], annular bed area [50], and the ratio between mass of suspended particles and initial mass of deposited cuttings [27] can be used to depict the amount of annular cuttings. As shown in Table 2 and Table 3, even more factors such as mud rheology, cuttings concentration were considered in some correlations and models, complexity of cuttings transport leads to the big gap between theoretic studies and real drilling conditions.…”

Section: The Annular Cuttings Correlations and Models On Hole Cleaningmentioning

confidence: 99%

“…Meanwhile, these facilities only can measure cuttings bed height or area and pressure, and can't record velocity field and concentration distribution of particle, which leads to the bad accuracy of some coefficients referred by mechanistic models and affects the accuracy of mechanistic models. Ideally, CCD video camera system [27,32] is introduced into flow loops to record the velocity profile, cross-sectional distribution and average velocity of cuttings. Also, a more real annular tested section should be considered to accord with the different downhole conditions.…”

Section: Improving Flow Loopsmentioning

confidence: 99%

See 2 more Smart Citations

Review of Hole Cleaning in Complex Structural Wells

Sun¹

2013

TOPEJ

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Abstract:Complex structural wells are widely used in the development of marine oilfield, old oilfield and low permeable oilfield. However, poor hole cleaning is often occurred in the highly-deviated sections and horizontal sections of the complex structural wells, which affects rate of penetration and downhole safety.The methods to study cuttings transport can be normally divided into four types: 1) experimental observations, 2) CFD simulations, 3) theoretical correlations and models and 4) field tests. Experimental observations and CFD simulations are mainly used to analyze the effects of different parameters on hole cleaning and obtain some valuable data. Theoretical models and correlations are mainly applied to calculate cuttings bed height, critical velocity and etc to provide the guidance for the design of hydraulic parameters. The accuracy of the first three types are checked by field tests. In this paper, the effects of flow rate, inclination, mud rheology, drillpipe rotation and other factors on hole cleaning, and some typical correlations and models were briefly reviewed before 2000 years, and some new research findings were detailedly addressed. In addition, CFD simulations also were introduced.Although major improvements have been achieved in the past several decades, building a comprehensive and proven model requires much more experimental researches, CFD simulations, in-depth theoretic studies and field tests due to the complexity of cuttings transport under multi-factor interactions.

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“…Therefore, mud rheology [20][21][22][23][24], particle size [20,21,23,25,26], and drillpipe rotation [6,24,27] continued to be studied.…”

Section: The Effects Mud Rheology Particle Size and Drillpipe Rotatimentioning

confidence: 99%

Section: The Annular Cuttings Correlations and Models On Hole Cleaningmentioning

confidence: 99%

Section: Improving Flow Loopsmentioning

confidence: 99%

See 1 more Smart Citation

Review of Hole Cleaning in Complex Structural Wells

Sun¹

2013

TOPEJ

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show abstract

“…Meanwhile, these facilities only can measure cuttings bed height or area and pressure, and can't record velocity field and concentration distribution of particles, which leads to poor accuracy of some coefficients and parameters referred by mechanistic models such as particle diffusion coefficient and hindered particle settling velocity, and affects the accuracy of mechanistic models. Ideally, CCD video camera system [43,66] is introduced into flow loops to record the velocity profile, cross-sectional distribution and average velocity of cuttings. Also, a more realistic annular tested section should be considered to accord with the different downhole conditions.…”

Section: Improving Cuttings Transport Flow Loopsmentioning

confidence: 99%

Review and Analysis of Cuttings Transport in Complex Structural Wells

Wang¹,

Yan

Sun³

et al. 2013

TOEFJ

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Complex structural wells are widely used in the development of marine oilfields, old oilfield sand low permeable oilfields. However, poor hole cleaning often occurred in the highly-deviated sections and horizontal sections of the complex structural wells, which affects rate of penetration, cementing quality and downhole safety. It is advisable to study the behavior of cuttings transport under different conditions. In general, experimental observations and CFD simulations are main methods to analyze the effects of cutting parameters, fluid parameters and operational parameters on hole cleaning. The correlations and models are applied to predict the number of cuttings and the critical velocity in the annulus. In this paper, an analysis of key parameters is conducted on cuttings transport, the existing problems and characteristics of these correlations and models are summarized,, and different removal methods of annular cuttings and future research needs are discussed. Although major improvements have been achieved in the past several decades, how to accurately predict the cuttings bed height, critical velocity and other key parameters, and to effectively solve the poor hole cleaning still is a difficulty challenge. Therefore, more research will be conducted to further understand cuttings transport mechanism in multi-factors coupling and complex wellbore conditions.

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“…Many researchers have been carried out on cuttings transport with conventional drilling fluids in horizontal and directional wells. In addition, some empirical and mechanistic models have been developed in cuttings transport [4][5][6]. Foams can have extremely high viscosity, in all instances in which their viscosity is greater than that of both the liquid and the gas that they contain.…”

Section: Introductionmentioning

confidence: 99%

Hole Cleaning Prediction in Foam Drilling Using Artificial Neural Network and Multiple Linear Regression

Rooki¹,

Ardejani²,

Moradzadeh³

2014

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Foam drilling is increasingly used to develop low pressure reservoirs or highly depleted mature reservoirs because of minimizing the formation damage and potential hazardous drilling problems. Prediction of the cuttings concentration in the wellbore annulus as a function of operational drilling parameters such as wellbore geometry, pumping rate, drilling fluid rheology and density and maximum drilling rate is very important for optimizing these parameters. This paper describes a simple and more reliable artificial neural network (ANN) method and multiple linear regression (MLR) to predict cuttings concentration during foam drilling operation. This model is applicable for various borehole conditions using some critical parameters associated with foam velocity, foam quality, hole geometry, subsurface condition (pressure and temperature) and pipe rotation. The average absolute percent relative error (AAPE) between the experimental cuttings concentration and ANN model is less than 6%, and using MLR, AAPE is less than 9%. A comparison of the ANN and mechanistic model was done. The AAPE values for all datasets in this study were 3.2%, 8.5% and 10.3% for ANN model, MLR model and mechanistic model respectively. The results show high ability of ANN in prediction with respect to statistical methods.

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Experimental Evaluation of the Effect of Drillstring Rotation in the Suspension of a Cuttings Bed

Cited by 7 publications

References 4 publications

Review of Hole Cleaning in Complex Structural Wells

Review of Hole Cleaning in Complex Structural Wells

Review and Analysis of Cuttings Transport in Complex Structural Wells

Hole Cleaning Prediction in Foam Drilling Using Artificial Neural Network and Multiple Linear Regression

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