Development of Optimization Sensitivity Equation by Multiple Linear Regression and Correlation Analysis

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  •   Shadrack Mathew Uzoma

Abstract

Gas pipeline pressure-flow problem are affected by varieties of factors notably frictional pressure drop and other pressure drops components. These problems inevitably result in the reduction of the operating efficiency of gas pipelines by virtue of reduction in the line throughput and increased pressure drop along the line. It has been established that increased pressure drop will ultimately lead to increased pump power as well as higher cost of design, construction and operations of gas pipelines. These prevailing factors prompts the need to ascertain the stability and reliability of the optimal flow results. The develop sensitivity model prediction was hinged around ∆L/L (%) being zero. It invariably confirmed that the results of optimal flow capacity are more sensitive to changes in upstream and downstream pressures. It was least sensitive to pressure gradients. The governing conditions being that changes in pipe diameter, ∆D/D (%) and flow capacity, ∆Q/Q (%) were in the order of 5%.


Keywords: Pressure-Flow Problem, Operating Efficiency, Optimal Flows, Stability and Reliability, Develop Sensitivity Model Prediction

References

Shadrack Mathew Uzoma (2016), “Flow Optimization in Natural Gas Pipeline”, Ph.D Thesis, Department of Mechanical Engineering, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria

Shadrack, Mathew Uzoma & Abam, D. P. S., “Flow Optimization Models in Gas pipelines (Modified Panhandle-B Equation as Base)

Equation)”, Journal of Science and Technology Research, Vol. 6, No. 1, Pp 31-41, April 2013.

Abam, D. P. S. & Shadrack, Mathew Uzoma, “Flow Optimization Models In Gas pipelines (Panhandle-A Equation As Base Equation)”, Journal of Science and Technology Research, Vol. 6, No. 3, Pp 1-16, December, 2013.

Adeyanju, O. A. and Oyekunle, L. O. (2012): “Optimization of Natural Gas Transmission in Pipeline”, Oil and Gas Journal, Vol. 69, No 51.

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How to Cite
[1]
Uzoma, S. 2019. Development of Optimization Sensitivity Equation by Multiple Linear Regression and Correlation Analysis. European Journal of Engineering and Technology Research. 4, 12 (Dec. 2019), 108-111. DOI:https://doi.org/10.24018/ejers.2019.4.12.1564.