Influence of Injection Parameters of Black Nanosheets on Enhancing Oil Recovery Performance in Low-Permeability Reservoirs

With the in-depth development of oil and gas resources, low-permeability reservoirs have gradually become a research hotspot for oilfield production increase targets. Increasing the stimulated reservoir volume (SRV) using fracturing is an important method for developing low-permeability reservoirs. However, the effect of water flooding development alone after fracturing remains limited. The black nanosheet (BN) oil displacement system, which has both profile control and oil displacement effects, is currently a popular method for developing unconventional reservoirs. It offers advantages such as a good imbibition oil displacement effect, stable chemical properties, and high sweep efficiency. However, there are few studies on its injection performance and oil displacement mechanism in low-permeability (10 × 10–3 μm2) and ultralow-permeability (1 × 10–3 μm2) reservoirs. In this study, the cationic-modified black nanosheet was taken as the research subject. Core displacement experiments and nuclear magnetic resonance analysis experiments designed through orthogonal design were used to study the influence mechanism of different injection parameters on the injection performance and oil displacement effect of the modified black nanosheet system. Results show that the black nanosheet significantly improved its injection performance compared with water flooding and enhanced the oil recovery degree. When the injection concentration was 0.002 wt %, the injection rate was 0.2 mL/min, the injected pore volume was 0.5 PV, and the core sample permeability was 1 × 10–3 μm2, the increase in oil recovery degree by black nanosheet after primary water flooding was the largest, reaching 14.13%OOIP (original oil in place). The nuclear magnetic resonance T2 spectrum further confirmed that under the above injection parameter conditions, black nanosheets could enter more tiny pores and displace more crude oil compared to water. More crude oil in large pores was displaced due to the reduction of phase boundary tension (i.e., capillary force). The research results of this paper provide a theoretical analysis basis for optimizing the injection parameters of the black nanosheet and improving its profile control and oil displacement effect in low-permeability reservoirs.

Authors

Institutions

Publication Details

Journal
Energy & Fuels
Published
2025-03-20
DOI
https://doi.org/10.1021/acs.energyfuels.5c00546
Citations
5
Primary Topic
Enhanced Oil Recovery Techniques
Type
article
Field-Weighted Citation Impact
5.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of Injection Parameters of Black Nanosheets on Enhancing Oil Recovery Performance in Low-Permeability Reservoirs

Hiangkiat Tan, Yongliang Yang, Daoyi Zhu, Jiong Zhang et al.
5 citations
Energy & Fuels
Enhanced Oil Recovery Techniques
5.73
article

Influence of Injection Parameters of Black Nanosheets on Enhancing Oil Recovery Performance in Low-Permeability Reservoirs

Hiangkiat Tan, Yongliang Yang, Daoyi Zhu, Jiong Zhang, Hongyu Li, Yingqi Gao, Tao Zhang, S.Y. Guo, Jiabin Lu, Hongbin Cheng
article en
5 citations

Abstract

With the in-depth development of oil and gas resources, low-permeability reservoirs have gradually become a research hotspot for oilfield production increase targets. Increasing the stimulated reservoir volume (SRV) using fracturing is an important method for developing low-permeability reservoirs. However, the effect of water flooding development alone after fracturing remains limited. The black nanosheet (BN) oil displacement system, which has both profile control and oil displacement effects, is currently a popular method for developing unconventional reservoirs. It offers advantages such as a good imbibition oil displacement effect, stable chemical properties, and high sweep efficiency. However, there are few studies on its injection performance and oil displacement mechanism in low-permeability (10 × 10–3 μm2) and ultralow-permeability (1 × 10–3 μm2) reservoirs. In this study, the cationic-modified black nanosheet was taken as the research subject. Core displacement experiments and nuclear magnetic resonance analysis experiments designed through orthogonal design were used to study the influence mechanism of different injection parameters on the injection performance and oil displacement effect of the modified black nanosheet system. Results show that the black nanosheet significantly improved its injection performance compared with water flooding and enhanced the oil recovery degree. When the injection concentration was 0.002 wt %, the injection rate was 0.2 mL/min, the injected pore volume was 0.5 PV, and the core sample permeability was 1 × 10–3 μm2, the increase in oil recovery degree by black nanosheet after primary water flooding was the largest, reaching 14.13%OOIP (original oil in place). The nuclear magnetic resonance T2 spectrum further confirmed that under the above injection parameter conditions, black nanosheets could enter more tiny pores and displace more crude oil compared to water. More crude oil in large pores was displaced due to the reduction of phase boundary tension (i.e., capillary force). The research results of this paper provide a theoretical analysis basis for optimizing the injection parameters of the black nanosheet and improving its profile control and oil displacement effect in low-permeability reservoirs.

Energy & FuelsVol. 39(13)
China University of Petroleum, Beijing (CN)
Openalex Percentile: Top 5%
Enhanced Oil Recovery Techniques
5.73
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.