Experimental study on CO2 huff and puff in the Daqing Fuyu tight oil reservoir with online NMR

Tight oil is a typical unconventional resource, and enhancing its recovery rate remains a challenge in current development efforts. In this study targeting the Daqing Fuyu tight oil reservoir, we combine a high-temperature and high-pressure long core physical simulation apparatus and a high-temperature and high-pressure online Nuclear Magnetic Resonance (NMR) testing system to conduct indoor simulation experiments on CO<sub>2</sub> huff and puff in long cores. The results indicate that in the process, it is primarily the oil from micro-pores that is initially mobilized, but further along mobilization of fluids from a portion of sub-micro-pores and nanopores is enhanced, with an efficiency ranging from 25 to 33 %. It was also found that there exist optimal conditions for huff and puff pressure, soaking time, and huff and puff cycles. Additionally, excessive extraction of light components by CO<sub>2</sub> can prove disadvantageous for further improvement in huff and puff efficiency. This study can provide insight into the mechanisms of and data support for the development of CO<sub>2</sub> huff and puff strategies in tight oil reservoirs, thereby contributing to the formulation of effective development plans.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-11-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e40183
Citations
1
Primary Topic
NMR spectroscopy and applications
Type
article
Field-Weighted Citation Impact
0.66
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental study on CO2 huff and puff in the Daqing Fuyu tight oil reservoir with online NMR

Ling Shi, Meng Du, Qianhua Xiao, Jiahao Li et al.
1 citations
Heliyon
NMR spectroscopy and applications
0.66
article

Experimental study on CO2 huff and puff in the Daqing Fuyu tight oil reservoir with online NMR

Ling Shi, Meng Du, Qianhua Xiao, Jiahao Li, Na Dong, Peixian Shao, Zhengqi Su
article en
1 citations

Abstract

Tight oil is a typical unconventional resource, and enhancing its recovery rate remains a challenge in current development efforts. In this study targeting the Daqing Fuyu tight oil reservoir, we combine a high-temperature and high-pressure long core physical simulation apparatus and a high-temperature and high-pressure online Nuclear Magnetic Resonance (NMR) testing system to conduct indoor simulation experiments on CO<sub>2</sub> huff and puff in long cores. The results indicate that in the process, it is primarily the oil from micro-pores that is initially mobilized, but further along mobilization of fluids from a portion of sub-micro-pores and nanopores is enhanced, with an efficiency ranging from 25 to 33 %. It was also found that there exist optimal conditions for huff and puff pressure, soaking time, and huff and puff cycles. Additionally, excessive extraction of light components by CO<sub>2</sub> can prove disadvantageous for further improvement in huff and puff efficiency. This study can provide insight into the mechanisms of and data support for the development of CO<sub>2</sub> huff and puff strategies in tight oil reservoirs, thereby contributing to the formulation of effective development plans.

HeliyonVol. 10(22)
Chongqing University of Science and Technology (CN), University of Chinese Academy of Sciences (CN), State Key Laboratory of Enhanced Oil Recovery
Openalex Percentile: Top 14%
NMR spectroscopy and applications
0.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Experimental study on CO2 huff and puff in the Daqing Fuyu tight oil reservoir with online NMR — Ling Shi, Meng Du, et al. · Heliyon (2024) | TGRS Research Map | TGRS