Title

Novel predictive tool for an accurate estimation of the saturated water content of sour natural gases

Document Type

Presentation

Publication details

Bahadori, A, Vuthaluru, H & Jalili, J 2010, 'Novel predictive tool for an accurate estimation of the saturated water content of sour natural gases', Proceedings of the International Oil and Gas Conference and Exhibition in China, Beijing, China, 8-10 June. ISBN 9781555632953.

Published version available from:

http://dx.doi.org/10.2118/130135-MS

Abstract

Natural gas is an important source of primary energy which is saturated with water vapor from the reservoir, through production and processing and is a concern in transmission. Also the water content of sour natural gases is an important parameter in the design of facilities for the natural gas production, transmission, and processing. In this work, an easy-to-use predictive tool which is simpler than current available models and involves a fewer number of parameters, requiring less
complicated and shorter computations, is formulated to arrive at an appropriate estimation of the saturated water content of acid gas mixtures up to 69000 kPa. With gases containing CO2, the CO2 must be converted to an "equivalent?? H2S concentration. For purposes of this predictive tool, it is assumed that the CO2 will contribute 75% as much water to the gas mixture, on a molar basis, as H2S. The new developed predictive tool works for pressures ranging from 2900 to 69000 kPa and temperatures from 25 to 175°C. The correlation is formulated as a function of temperature and "equivalent?? H2S concentration for pressures at 2100, 6900, 14000, 21000, 41000 and 69000 kPa (abs). Simple interpolation formula generalizes the correlation for wide range of pressures. Percent average absolute deviation of the proposed predictive tool is found to be around 2% demonstrating the excellent performance of proposed simple predictive tool and can be of immense practical value for the engineers and scientists to have a quick check on the water content of sour natural gases at various temperatures and pressures without performing any experimental measurements. In particular, gas process engineers would find the proposed approach to be user friendly involving no complex expressions with transparent calculations.