Abstract
Developing a steady operation of gas and condensate value chain is an important task to maintain stable productions of oil & gas industries. In this regard, PETRONAS continues to improve its production facilities by utilizing process modelling and simulation via Symmetry iCON® as one of its main engineering tools. In this work, Symmetry iCON® pipe network solver was used to build a dynamic simulation model for gas and condensate pipeline network in Malaysian Peninsular region. One-month data of December 2018 has been used to validate the model. Then it was utilized to predict the data in January 2019 to further evaluate the applicability of the model. Some valuable observations included the significance of properties estimation of a pseudo component of C6+ in terms of thermodynamic and transport properties. Due to lack of data monitoring of the condensate in some terminals, this property estimation became very crucial while at the same time difficult to validate. Nonetheless, the model can predict the data within the range of error of 4-6%. In the future, when more data is available, the properties can be easily tuned to better represent the reality.
Highlights
Oil and gas production consist of various interconnections between gas or oil wells, pipelines, platforms, and terminals where the oil and gas are treated and furtfher distributed
In 2015, the region of Peninsular Malaysia supplied about 82% of the total domestic demand [2]
PETRONAS understands the clear needs of utilizing technologies, e.g. use of process simulation software, to support maintaining the quantity and the quality of its oil and gas productions
Summary
Oil and gas production consist of various interconnections between gas or oil wells, pipelines, platforms, and terminals where the oil and gas are treated and furtfher distributed. Modelling and optimization of natural gas networks have been done such as minimizing fuel gas consumption of compressors to satisfy natural gas demands [8], [9], operational optimization [10], coping with transient stages of gas supply in China [11], multi period optimization [12], reliability [13], and risk management [14]. Many of these previous works were conducted using steady state calculations. The modelling work was done in dynamic mode to account for transient situations and evaluate different operational scenarios
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