A new method of predicting the saturation pressure of oil reservoir and its application

doi:10.1016/j.ijhydene.2020.08.042

CORC > 力学研究所 > 中国科学院力学研究所 > 非线性力学国家重点实验室

	A new method of predicting the saturation pressure of oil reservoir and its application
	Yu GY ; Xu F ; Cui YZ ; Li XL ; Kang CJ ; Lu C ; Li SY ; Bai L ; Du SH(杜书恒)
刊名	INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
	2020-11-06
卷号	45 期号:55 页码:30244-30253
关键词	Oil reservoir RANDOM FOREST Saturation pressure HETEROGENEITY Random forest Decision tree ANN Empirical formula
ISSN号	0360-3199
DOI	10.1016/j.ijhydene.2020.08.042
英文摘要	Saturation pressure is a vital parameter of oil reservoir which can reflect the oilfield characteristics and determine the oilfield development process, and it is determined by experiments in the laboratory in general. However, there was only one well with saturation pressure test in this target reservoir, and it is necessary to determine whether this parameter is right or not. In this work, we present a new method for quickly determining saturation pressure using machine learning algorithms, including random forest regressor (RF), support vector machine (SVM), decision trees (DT), and artificial neural network (ANN or NN). Using these approaches, saturation pressure was obtained by using the initial solution gas-oil ratio (GOR), temperature, API gravity and other reservoir-fluid data available in the oilfields. Compared with the empirical formula for saturation pressure calculation, the calculated result shows that the accuracy given from machine learning is higher than that from other formulas at home and abroad, and has a good match with the lab test. On the basis of the calculated saturation pressure, it can determine whether the reservoir enters into the stage of dissolved gas drive or not, which also provides the basis for maintaining the reservoir pressure by water injection in advance, rational development decision-making and work over measures. This approach above can provide technical guidance for predicting the saturation pressure in the development of different kinds of reservoirs, including the sandstone reservoirs and carbonate reservoirs. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
分类号	二类
WOS研究方向	Chemistry ; Electrochemistry ; Energy & Fuels
语种	英语
WOS记录号	WOS:000582322100027
资助机构	Major Project of China National Petroleum Corporation [2016D-4402}
其他责任者	Xu, F
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/85425]
专题	力学研究所_非线性力学国家重点实验室
作者单位	1.{Du Shuheng} Chinese Acad Sci Inst Mech State Key Lab Nonlinear Mech Beijing 100190 Peoples R China 2.{Yu Guoyi, Xu Feng, Lu Cheng, Bai Lin} China Natl Oil & Gas Explorat & Dev Co Ltd CNODC Beijing 100034 Peoples R China 3.{Xu Feng, Li Xiangling, Kang Chujuan} CNPC Res Inst Petr Explorat & Dev Co Ltd RIPED Beijing 100083 Peoples R China 4.{Cui Yingzhi} Univ New South Wales Sch Mineral Energy & Resource Engn Sydney NSW 2052 Australia 5.{Li Siyu} China Petr Technol & Dev Corp Beijing 100028 Peoples R China
推荐引用方式 GB/T 7714	Yu GY,Xu F,Cui YZ,et al. A new method of predicting the saturation pressure of oil reservoir and its application[J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY,2020,45(55):30244-30253.
APA	Yu GY.,Xu F.,Cui YZ.,Li XL.,Kang CJ.,...&杜书恒.(2020).A new method of predicting the saturation pressure of oil reservoir and its application.INTERNATIONAL JOURNAL OF HYDROGEN ENERGY,45(55),30244-30253.
MLA	Yu GY,et al."A new method of predicting the saturation pressure of oil reservoir and its application".INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 45.55(2020):30244-30253.