Evidence map›Paper›PMID 37176437›Full record

ArticleMaterials (Basel, Switzerland)2023

Insights into the Microscopic Oil-Water Flow Characteristics and Displacement Mechanisms during Waterflooding in Sandstone Reservoir Rock Based on Micro-CT Technology: A Pore-Scale Numerical Simulation Study.

Bingtao Hu, Guoliang Chai, Xingjun Liu, Xiaofeng Wen, Zhaolin Gu, Liaobo Xie, Shifeng Han, Junwei Su

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Bingtao HuSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Guoliang ChaiSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Xingjun LiuChangqing Division, China Petroleum Logging Co., Ltd., Xi'an 710201, China.
Xiaofeng WenChangqing Division, China Petroleum Logging Co., Ltd., Xi'an 710201, China.
Zhaolin GuSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0002-1033-232X
Liaobo XieChangqing Division, China Petroleum Logging Co., Ltd., Xi'an 710201, China.
Shifeng HanChangqing Division, China Petroleum Logging Co., Ltd., Xi'an 710201, China.
Junwei SuSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0001-5185-3976
China National Petroleum Corporation (China) · CNXi'an Jiaotong University · CN

Funding

Key research and development program in Shaanxi Province of China 2021GXLH-Z-071National Science Foundation of China 12072256Natural Science Basic Research Plan in Shaanxi Province of China 2021JM-406
6 · The paper itself

Abstract

The low oil recovery rate observed in current oil fields is largely attributed to the presence of remaining oil trapped in the pores of porous media during waterflooding. To improve the recovery rate, it is imperative to gain an understanding of the oil-water flow characteristics and displacement mechanisms during waterflooding, as well as to elucidate the underlying mobilization mechanisms of residual oil at the pore scale. In this paper, we explore these issues in depth by numerically investigating the influence of factors such as water injection velocities, oil-water viscosity ratios, and wettability conditions on pore-scale oil-water flow characteristics and oil recovery rate. To this end, we employ a direct numerical simulation (DNS) method in conjunction with the volume of fluid (VOF) method to study the microscopic displacement mechanisms of waterflooding in a reconstructed two-dimensional digital rock core based on micro-CT technology. In addition, the particle tracing method is adopted to identify the flow path and dominant areas during waterflooding in order to mobilize the residual oil within the pores. The findings indicate that the oil-water flow characteristics in porous media are determined by the interplay between capillary and viscous forces. Furthermore, the oil recovery rate is 10.6% and 24.7% lower under strong water-wet and oil-wet conditions than that (32.36%) under intermediate wettability conditions, and the final oil recovery rate is higher under water-wet conditions than under oil-wet conditions. The seepage path and the dominant areas are directly linked to the capillarity formed during waterflooding. The findings of this study are significant in terms of enhancing the recovery rate of residual oil and provide a novel perspective for understanding the waterflooding process.

Indexed as

micro-CT technologymicroscopic numerical simulationporous materialsporous media flowwaterflooding

Identifiers

PMID37176437
PMCPMC10180208
OpenAlexW4376629972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.