2000Chemical Engineering CommunicationsRequires access

CORRELATION OF RHEOMETRIC DATA AND HYDRAULIC CALCULATIONS USING RATIONAL POLYNOMIALS

Abhishek Kumar, Sandeep Saboo, Sudip Sheth, Ali Pilehvari, Robert W. Serth

Open publisher page 9 citations

Abstract

A rational polynomial function, i.e., the ratio of two polynomials, is suggested as a general correlating equation for rheometric data. Using data from the literature, it is shown that the rational-polynomial model is capable of accurately representing the rheogram of virtually any time-independent fluid. The utility of the rational-polynomial model in hydraulic calculations is demonstrated using data for a variety of drilling fluids. It is shown that the pressure drop in circular pipes is more accurately predicted using the rational-polynomial model than with the standard fluid models used in the petroleum industry.

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What this paper is about

A rational polynomial function, i.e., the ratio of two polynomials, is suggested as a general correlating equation for rheometric data. Using data from the literature, it is shown that the rational-polynomial model is capable of accurately representing the rheogram of virtually any time-independent fluid. The utility of the rational-polynomial model in hydraulic calculations is demonstrated using data for a variety of drilling fluids. It is shown that the pressure drop in circular pipes is more accurately predicted using the rational-polynomial model than with the standard fluid models used in the petroleum industry.

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Available abstract

A rational polynomial function, i.e., the ratio of two polynomials, is suggested as a general correlating equation for rheometric data. Using data from the literature, it is shown that the rational-polynomial model is capable of accurately representing the rheogram of virtually any time-independent fluid. The utility of the rational-polynomial model in hydraulic calculations is demonstrated using data for a variety of drilling fluids. It is shown that the pressure drop in circular pipes is more accurately predicted using the rational-polynomial model than with the standard fluid models used in the petroleum industry.

Key concepts: Polynomial and rational function modeling, Polynomial, Rational function, Pressure drop, Rational design, Mathematics, Function (biology), Applied mathematics

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