Hot oiling spreadsheet
A.J. Mansure
- 01 Sep 1996
TL;DR: In this paper, the authors present a tool for estimating downhole temperatures in terms of analytic formulas, based on the falling film flow in the annulus and started from the transient differential equations so that the effects of the heat capacity of the tubing and casing could be included.
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Abstract: One of the most common oil-field treatments is hot oiling to remove paraffin from wells. Even though the practice is common, the thermal effectiveness of the process is not commonly understood. In order for producers to easily understand the thermodynamics of hot oiling, a simple tool is needed for estimating downhole temperatures. Such a tool has been developed that was distributed as a compiled, public-domain-software spreadsheet. That spreadsheet has evolved into an interactive from on the World Wide Web and has been adapted into a Windows{trademark} program by Petrolite, St. Louis MO. The development of such a tools was facilitated by expressing downhole temperatures in terms of analytic formulas. Considerable algebraic work is required to develop such formulas. Also, the data describing hot oiling is customarily a mixture of practical units that must be converted to a consistent set of units. To facilitate the algebraic manipulations and to assure unit conversions are correct, during development parallel calculations were made using the spreadsheet and a symbolic mathematics program. Derivation of the formulas considered falling film flow in the annulus and started from the transient differential equations so that the effects of the heat capacity of the tubing and casing could be included. While this approach to developing a software product does not have the power and sophistication of a finite element or difference code, it produces a user friendly product that implements the equations solved with a minimum potential for bugs. This allows emphasis in development of the product to be placed on the physics.
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Citations
Thermal analysis of shell and tube heat exchangers using artificial neural networks
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- 01 Jan 2015
TL;DR: In this paper, a feed-forward artificial neural network is used to predict the steady state performance within the design space and results match well with LMTD calculations, but it needs additional parameters to improve its predictions.
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An investigation into the heat transfer process in petroleum wells, and a comprehensive modeling study investigating the temperature distribution in production wells
Thomas Horpestad
- 15 Jun 2017
TL;DR: In this article, a wellbore heat transfer model for a single phase oil production scenario, based on the well-body heattransfer model presented by Hasan, Kabir, and Wang (2009), has been implemented in the MATLAB ® software.
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References
Conduction of heat in solids
H. S. Carslaw,John Conrad Jaeger +1 more
- 01 Jan 1947
TL;DR: In this article, a classic account describes the known exact solutions of problems of heat flow, with detailed discussion of all the most important boundary value problems, including boundary value maximization.
12.6K
Over-all Heat Transfer Coefficients in Steam And Hot Water Injection Wells
TL;DR: In this article, a simplified calculation procedure is outlined for determining the overall heat transfer coefficient, and a comparison of predicted and field casing temperatures confirms the basic formulation and applicability of the suggested procedure for engineering calculations.
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