80
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Performance of enlarging swept volume by Surface-active Polymer flooding for enhancing oil recovery

ORCID Icon, , , , , & show all
Pages 4939-4948 | Received 09 Mar 2019, Accepted 09 Aug 2019, Published online: 03 Sep 2019
 

ABSTRACT

Surface-active Polymer is a novel multifunctional active polymer for chemical flooding in mature oilfield, and the mechanism of enhancing oil recovery by Surface-active Polymer flooding is to be further studied. Performance of enlarging swept volume for enhancing oil recovery by Surface-active Polymer flooding has been evaluated in this paper. The effect and contribution rate of mobility control of Surface-active Polymer flooding for enhancing oil recovery were tested firstly, and then microscopic experiments on enlarging swept volume based on microetching models have been carried out, and macroscopic evaluation of enlarging swept volume based on heterogeneous models with cores grouped in parallel was carried out. Mobility control effect and plugging by emulsifying make Surface-active Polymer have significant performance of enlarging swept volume. Enlarging swept volume both on the macroscopic and the microscopic is the basic principle of Surface-active Polymer flooding for enhancing oil recovery.

Additional information

Funding

This project has been carried out under the framework of Major Projects of National Science and Technology (No. 2016ZX05010002-004 and 2016ZX05023005-001-003), and the study was financially supported by China Postdoctoral Science Foundation (No. 2018M631891) and National Natural Science Foundation of China (No. 51804078).

Notes on contributors

Qiannan Yu

Qiannan Yu is an associate professor in College of Mechanical and Electrical Engineering, Guangdong University of Petrochemical Technology from 2019–present. He was a post-doctoral research fellow in Northeast Petroleum University and Petrochina Daqing Oil Field Co. Ltd from 2017–2019. He has a PhD in School of Petroleum Engineering, Northeast Petroleum University from 2013–2017.

Yikun Liu

Yikun Liu is a Professor in School of Petroleum Engineering, Northeast Petroleum University from 1984–present. Yikun Liu graduated from Northeast Petroleum University in 1984 in Petroleum and Natural Gas Engineering. He has been engaged in the research and education in the field of Petroleum and Natural Gas Engineering for over 30 years.

Shuang Liang

Shuang Liang is an associate professor in School of Petroleum Engineering, Northeast Petroleum University from 2015–present. Shuang Liang graduated from Northeast Petroleum University in 2015 with a doctoral degree in Petroleum and Natural Gas Engineering.

Shuai Tan

Shuai Tan is an associate Professor in School of Chemical Engineering, Sichuan University from 2016–present. Shuai Tan graduated from Sichuan University in 2016 with a doctoral degree in Chemical Process Machinery.

Chenghan Chen

Chenghan Chen is a research fellow in Biomass Energy Technology Research Center, Biogas Institute of Ministry of Agriculture and Rural Affairs from 2016–present. Chenghan Chen graduated from Sichuan University in 2016 with a doctoral degree in Chemical Process Machinery.

Zhi Sun

Zhi Sun a Professor of Engineering in Petrochina Daqing Oil Field Co. Ltd from 1984–present. Zhi Sun graduated from Northeast Petroleum University in 1984. He has been engaged in the management of Oil and Gas Field Development for over 30 years.

Yang Yu

Yang Yu is an oil and gas reservoir engineer in Petrochina Daqing Oil Field Co. Ltd from 2010–present. Yang Yu graduated from Heilongjiang University in 2010.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.