
@Article{icces.2022.08801,
AUTHOR = {Jie Chen, Wei Wang, Wenyuan Sun, Yuming He, Shunchen Miu},
TITLE = {A Process	Simulation	Model	of	Oil	and	Gas	Gathering	System	for	Digital	 Requirements},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {25},
YEAR = {2023},
NUMBER = {4},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v25n4/53861},
ISSN = {1933-2815},
ABSTRACT = {Characteristic	parameters	of	oil	and	gas	gathering	system	(OGGS),	such	as	the	liquid	holdup,	flow	rate	and	
pressure	of	wells,	fluctuate	dynamically	during	the	production	cycle.	Furthermore,	with	the	call	for	energy	
transition	and	digitalization,	it	is	critical	to	grasp	the	operation	status	of	OGGS	in	real	time. A generalized	
process	 simulation	model	 for	multi-phase	gathering	 system was	established by	 coupling	 several	models	
(mass balance,	 pressure	 balance,	 hydraulic	 and	 thermal	 model	 of	 a	 single	 pipe,	 power	 and	 thermal	
equipment	model,	etc.).	Because	the	hydraulic	equation	of	the	pipe	contains	nonlinear	terms,	the	hydraulic	
model	 of pipe	was	linearized,	 and	 the	linear	 approximation	method	was	 employed	 to	 solve	 the	 process	
simulation	model.	In	addition,	several multiphase	fluids	will	flow	into	the	same	node	in	the	pipe	network,	
and	the	liquid holdup varies	from	pipe	to	pipe.	As	a	result,	the	node	matrix	described	the	process	topology	
of	OGGS,	and	the	path-finding	algorithm	found	the	optimal	solution	sequence	of	node	temperature	and	liquid	
holdup. The equivalent	flow	rate	was	introduced	to	adaptively	adjust	the	distance	steps of	each	pipe section
by	 comparing	 each	 pipe's	 equivalent	 flow	 rate	with	 the	 reference	 value.	With	 the	 same	 number	 of	 pipe	
sections,	 the	 adaptive	 step	 method	 had	 higher	 calculation	 accuracy	 than	 the	 fixed	 step	 method.	 Under	
different	boundary	conditions,	the	results	of	the	process	simulation	model	were	in	good	agreement	with	the	
results	calculated	by	commercial	software.	The	model	can	effectively	guide	the	operational	management	of	
the	site	and	offer	a	reference	for	the	digital	transition of	OGGS.},
DOI = {10.32604/icces.2022.08801}
}



