Development and Evaluation of Various Drilling Fluids for Slim-Hole Wells

Enilari, M.G.; Osisanya, S.O.; Ayeni, K.

doi:10.2118/2006-107

Cited by 4 publications

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“…The NLP and NE methods have been applied to all of the data reported in ref ; part of the data are given in Table in Appendix B. The rheological parameters that have been calculated using both procedures are presented in Table .…”

Section: Resultsmentioning

confidence: 99%

“…The data of Enilari, for water-based drilling fluids containing KCl and KF salts and xanthan, was also used. The data T1, T4, T10, T41, T42, and T43 have been reproduced in Table , Appendix B.…”

Section: Experimental Data Used In This Studymentioning

confidence: 99%

“…Two annulus geometries are used: (a) an annulus with an internal diameter equal to the outer pipe diameter of 0.311 m and an external diameter equal to the inner pipe diameter of 0.127 m and (b) an annulus with an internal diameter equal to the outer pipe diameter of 0.216 m and an external diameter equal to the inner pipediameter of 0.089 m. As it can be realized, the ratio of R 1 / R 2 > 0.3 is valid for both cases. According to the Enilari statement for the cases that the above criterion is hold, the approximation of a slot for annulus geometry is a valid approximation. Results have been derived for a range of flow rates encountered in oil-well drilling situations, while keeping the flow regime laminar; which is the normal condition encountered in drilling applications, particularly for flow in an annulus …”

Section: Comparison Of the Velocity Profilesmentioning

confidence: 99%

“…There is a central core of the fluid which moves as a rigid plug if the shear stress levels are smaller than the yield stress of the fluid, Figure . In this research since the criterion of R 1 / R 2 > 0.3 holds, the annulus geometry was approximated as a slot . Integration of the force balance in a slot for the flow performed on a fluid element gives the following: , τ = τ 0 + y ( DP ) y a = − τ 0 − H 2 DP DP y b = τ 0 + H 2 DP DP γ ̇ = − d u d y τ = − τ 0 − b γ ̇ − k γ …”

Section: B1mentioning

confidence: 99%

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Novel Equation for the Prediction of Rheological Parameters of Drilling Fluids in an Annulus

Nasiri

Ashrafizadeh

2010

Ind. Eng. Chem. Res.

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Several well-known correlations such as the Bingham-plastic, power-law, and Herschel−Bulkley models have been used so far to determine the rheological parameters of drilling fluids. For some particular fluids, however, even a three-parameter model such as Herschel−Bulkley does not exhibit appropriate behavior. On the other hand, determination of the rheological parameters by numerical methods such as nonlinear regression may provide meaningless values, i.e. negative yield stresses. This is particularly notable in determination of yield stress, which identifies the capacity of the drilling fluid to carry the cuttings. In this work, a new equation has been developed which is capable of determining the rheological parameters and, more particularly, the yield stress of drilling fluids. It is demonstrated that the developed correlation improves the prediction of the rheological parameters of the fluids by including a logarithmic term. The velocity profiles and pressure drop values obtained for several drilling fluids in an annulus geometry exhibit the suitability of this novel equation in comparison with the previously mentioned equations.

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Section: Resultsmentioning

confidence: 99%

Section: Experimental Data Used In This Studymentioning

confidence: 99%

Section: Comparison Of the Velocity Profilesmentioning

confidence: 99%

Section: B1mentioning

confidence: 99%

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Novel Equation for the Prediction of Rheological Parameters of Drilling Fluids in an Annulus

Nasiri

Ashrafizadeh

2010

Ind. Eng. Chem. Res.

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“…inch; yet this value may range from 3 1/2 to 6 inch in a slim-hole (Jafarifar et al, 2020;Azari and Soliman, 1997;Enilari et al, 2006). The pressure losses are significantly affected by the reduced annular clearance in slim-holes, while 90% of the pressure losses take place in the bit nozzles and the drill string in a conventional well.…”

Section: Introductionmentioning

confidence: 99%

Application of soft computing approaches for modeling annular pressure loss of slim-hole wells in one of Iranian central oil fields

et al. 2023

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In order to have a better control over the drilling process and reduce the overall cost of this drilling operation, engineers have tried to use soft computing (SC) techniques to conduct the preestimation of drilling events. It is critically important to estimate the annular pressure losses (APL) for non-Newtonian drilling muds within annulus in order to specify pump rates and also to be able to choose the most appropriate mud pump systems while conducting the drilling operations. To develop the vigorous and exact models to enable the prediction of APL, two popular models were employed, i.e., multilayer perceptron (MLP) [optimized by levenbergmarquardt (LM), bayesian regularization (BR), scaled conjugate gradient (SCG), Resilient back propagation (RB), and broyden fletcher goldfarb shanno (BFGS)] and radial basis function (RBF). Subsequently, applying a committee machine intelligent system (CMIS), the four top models were combined into a unit paradigm. Several tools such as error distribution diagram, cross plot, trend analysis, and cumulative frequency diagram were used in conjunction with statistical calculation to assess the efficiency of models. Consequently, the CMIS model was introduced as the most exact technique which has the greatest coefficient of determination (R 2 close to one) as well as the lowest root mean square error (RMSE close to zero) for the tested dataset.

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Optimization of glycol–water-based drilling fluid for drilling slim-hole wells in one of Iranian central oil fields

Jafarifar

Norouzi-Apourvari²,

Schaffie³

et al. 2023

Arab J Geosci

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Development and Evaluation of Various Drilling Fluids for Slim-Hole Wells

Cited by 4 publications

References 0 publications

Novel Equation for the Prediction of Rheological Parameters of Drilling Fluids in an Annulus

Novel Equation for the Prediction of Rheological Parameters of Drilling Fluids in an Annulus

Application of soft computing approaches for modeling annular pressure loss of slim-hole wells in one of Iranian central oil fields

Optimization of glycol–water-based drilling fluid for drilling slim-hole wells in one of Iranian central oil fields

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