Methods for predicting dynamic sag using viscometer/rheometer data

US9513203B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9513203-B2
Application numberUS-201213492885-A
CountryUS
Kind codeB2
Filing dateJun 10, 2012
Priority dateJun 10, 2012
Publication dateDec 6, 2016
Grant dateDec 6, 2016

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Abstract

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A method for quantitatively determining dynamic barite sag in drilling fluids includes measuring rheological properties with viscometers and/or rheometers, and introducing the parameters into an equation to obtain the sag rate.

First claim

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What is claimed is: 1. A method comprising: measuring rheological data for a plurality of fluids having particulates suspended therein, wherein the rheological data is selected from the group consisting of: a shear stress, a yield stress, a viscosity, a shear-thinning index, and any combination thereof; applying a pseudo-plastic model and a visco-plastic model to the rheological data to produce characteristic parameters for each of the plurality of fluids; applying the characteristic parameters for each of the plurality of fluids to an equation to predict a dynamic sag rate for each of the plurality of fluids, wherein the equation is: (4/3)*π*a i 3 *(ρ s −ρ f )*g=6*π*a i *U i *(μ+k*(T 0 HB ) 1/n ). wherein a i , is a radius of the particulates, ρ s is a density of the particulates, ρ f is a density of the fluid surrounding the particulates, g is acceleration due to gravity, U i is the dynamic sag rate of particulates of size a i , μ is a viscosity of the fluid, γ is a shear rate, k is an empirical constant that ranges from 0.01 to 10, T 0 HB is a yield stress, and n is a shear thinning index; and formulating a drilling fluid based on the dynamic sag rate for each of the plurality of fluids so as to minimize sag in the drilling fluid. 2. The method of claim 1 further comprising: drilling a wellbore with the drilling fluid. 3. The method of claim 1 , wherein measuring rheological data is performed at a shear rate of 5 s −1 . 4. The method of claim 1 , wherein the pseudo-plastic model is selected from the group consisting of a power-law model, an Eyring model, a Cross model, a Carreau model, an Ellis model, and any combination thereof. 5. The method of claim 1 , wherein the visco-plastic model is selected from the group consisting of a Bingham-plastic model, a Casson model, a Herschel-Bulkley model, and any combination thereof. 6. A method comprising: measuring rheological data for a plurality of fluids having particulates suspended therein, wherein the rheological data is selected from the group consisting of: a shear stress, a yield stress, a viscosity, a shear-thinning index, and any combination thereof; applying a pseudo-plastic model and a visco-plastic model to the rheological data to produce characteristic parameters for each of the plurality of fluids; applying the characteristic parameters for each of the plurality of fluids to an equation to predict a dynamic sag rate for each of the plurality of fluids, wherein the equation is: (4/3)*π*a i 3 *(ρ s −ρ f )*g=6*π*a i *U i *(μ+k*(T 0 HB ) 1/n ) wherein a i , is a radius of the particulates, ρ s is a density of the particulates, ρ f is a density of the fluid surrounding the particulates, g is acceleration due to gravity, U i is the dynamic sag rate of particulates of size a i , μ is a viscosity of the fluid, γ is a shear rate, k is an empirical constant that ranges from 0.01 to 10, T 0 HB is a yield stress, and n is a shear thinning index; and adjusting a drilling fluid composition based on the dynamic sag rate for each of the plurality of fluids so as to minimize sag in the drilling fluid.

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Classifications

  • Investigating flow properties of materials, e.g. viscosity, plasticity; Analysing materials by determining flow properties · CPC title

  • G01N15/04Primary

    Investigating sedimentation of particle suspensions · CPC title

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What does patent US9513203B2 cover?
A method for quantitatively determining dynamic barite sag in drilling fluids includes measuring rheological properties with viscometers and/or rheometers, and introducing the parameters into an equation to obtain the sag rate.
Who is the assignee on this patent?
Kulkarni Sandeep, Savari Sharath, Teke Kushabhau D, and 4 more
What technology area does this patent fall under?
Primary CPC classification G01N15/04. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Dec 06 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).