Journal ArticleDOI
Pressure Profile in Annulus: Solids Play a Significant Role
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In this article, the effects of solids on the wellbore pressure profile under different conditions were investigated on a 90-ft-long, 45 in 8 in full-scale flow loop to simulate field conditions.Abstract:
This paper looks into the effects of solids on the wellbore pressure profile under different conditions An extensive number of experiments were conducted on a 90-ft-long, 45 in 8 in full-scale flow loop to simulate field conditions The flow configurations are analyzed A solid–liquid two-phase flow configuration map is proposed Significant difference is found between the pressure profile with solids and without solids in the wellbore The results of this study show how the pressure profile in the wellbore varies when solids present in the annulus, which may have important applications in drilling operations [DOI: 101115/14030845]read more
Citations
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Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)
TL;DR: In this paper, a mathematical model that obtained from the weights, biases, and the transfer functions used in the Artificial Neural Networks (ANNs) was converted to white box to obtain a visible mathematical model which can be used to predict the drilling fluid rheological properties only using Marsh funnel viscosity, solid content, and density.
Journal ArticleDOI
Real-Time Prediction of Rheological Parameters of KCl Water-Based Drilling Fluid Using Artificial Neural Networks
TL;DR: In this article, the authors used the frequent measurements of mud density, Marsh funnel viscosity, and solid percent to predict the rheological properties (plastic visco-ity, apparent viscoity, yield point, flow behavior index, and consistency index of the drilling fluid) by developing empirical correlations based on 3000 field data measurements of KCl-polymer mud using artificial neural network.
Journal ArticleDOI
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System.
TL;DR: The adaptive neuro-fuzzy inference system (ANFIS) was used to develop new models to determine the mud rheological properties using real field measurements of 741 data points and they showed a correlation coefficient that exceeded 0.9 between the actual and predicted values with an average absolute percentage error below 5.7%.
Journal ArticleDOI
A unified transient solid-liquid two-phase flow model for cuttings transport- modelling part
TL;DR: In this article, a unified transient model is presented for predictions of flow pattern transitions, pressure gradient, solid particle concentration in solid-liquid two-phase flow, which is based on the conservation of mass and momentum and coupled with flow pattern prediction methods.
Journal ArticleDOI
Application of Hydrated Basil Seeds (HBS) as the herbal fiber on hole cleaning and filtration control
TL;DR: In this paper, the results of the studies performed on the application of Hydrated Basil Seeds (HBS) as the herbal eco-friendly fiber on hole cleaning and filtration control were presented.
References
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Book
Applied drilling engineering
TL;DR: In this paper, the authors present petroleum engineering science fundamentals as well as example engineering applications involving those fundamentals, including rotary drilling, drilling fluids, cements, drilling hydraulics, rotary-drilling bits, formation pore pressure and fracture resistance, casing design, directional drilling, and deviation control.
Book
Slurry flow : principles and practice
Clifton A. Shook,Mihail C. Roco +1 more
TL;DR: In this paper, the basic concepts and methods for understanding and designing slurry flow systems, for in-plant installations and long distance transportation systems, are described in sufficient detail for an engineer with little or no prior experience in the field.
Journal ArticleDOI
Flow pattern maps for solid-liquid flow in pipes
P. Doron,Dvora Barnea +1 more
TL;DR: In this paper, a method for displaying the range of existence of flow patterns in a solid-liquid pipeline is presented by means of flow maps drawn from the results of a phenomenological model.
Journal ArticleDOI
Flow of slurries in pipelines
Raffi M. Turian,Tran-Fu Yuan +1 more
TL;DR: In this paper, pressure drop correlations for flow of slurries in pipelines were developed for each of the following four flow regimes: flow with a stationary bed, saltation flow, heterogeneous flow, and homogeneous flow.