Orthogonal microscopy image acquisition analysis technique for rock sections in polarizer angle domain

Zhang, Yan; Zhong, Hongru; Zhang, Xin; Gao, Shichen; Zhao, Dong

doi:10.1016/j.jsg.2020.104174

Cited by 7 publications

(4 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Aside the use of these digital models as input for simulation of transport properties, models from rock image analysis can be used to provide information such as grain and pore size distribution, mineralogy and clay content (Berg et al, 2017). The application of rock image analysis in rock characterisation is wide and becoming popular as seen in (Cheng & Song, 2018;Erdogan, 2000;Faisal et al, 2019;Krinsley et al, 2005;Lesueur et al, 2017;Shan & Lai, 2019;Vanorio et al, 2011;Zhang et al, 2020).…”

Section: Previous Workmentioning

confidence: 99%

Microscopy and image analysis of the micro-fabric and composition of saline rocks under different phaseCO2-Brine states

Ameh

Jin

Fan

et al. 2022

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

Section: Previous Workmentioning

confidence: 99%

Microscopy and image analysis of the micro-fabric and composition of saline rocks under different phaseCO2-Brine states

Ameh

Jin

Fan

et al. 2022

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

“…Automatic analysis based on computer technology has been introduced in thin‐section analysis to improve its accuracy. [ 65–67 ]…”

Section: Pore Structure Characterizationmentioning

confidence: 99%

“…Automatic analysis based on computer technology has been introduced in thin-section analysis to improve its accuracy. [65][66][67] Thin-section analysis is easy to operate and cost effective. It has been widely applied in analyzing the distribution and connectivity of pores and throat.…”

Section: Thin-section Analysismentioning

confidence: 99%

Review on Pore Structure Characterization and Microscopic Flow Mechanism of CO₂ Flooding in Porous Media

Tang

Hou

et al. 2020

Energy Tech

View full text Add to dashboard Cite

Rapidly rising emissions of greenhouse gases into the atmosphere lead to the greenhouse effect and accelerate the exacerbation of the global climate. [1] Greenhouse gases include carbon dioxide (CO 2), ozone (O 3), nitric oxide (N 2 O), methane (CH 4), hydrogen fluoride, the chlorine carbide class (CFCs, HFCs, HCFCs), and perfluorinated carbide (PFCs) and sulfur hexafluoride (SF 6). The concentration of CO 2 is the highest in the atmosphere among greenhouse gases, and it significantly dominates global warming. [2] The process of the greenhouse effect and the impact of greenhouse gases on global warming are shown in Figure 1. Carbon is one of the most important elements of earth's structure and living things. It widely exists in the biosphere, lithosphere, hydrosphere, and atmosphere and circulates continuously with the movement of the Earth. CO 2 plays an important role in the cycle. Green plants absorb CO 2 from the atmosphere, and CO 2 is converted into organic matter and oxygen is also released through photosynthesis with the participation of water, as shown in Figure 2. [3,4] Before the industrial revolution, the carbon cycle has been kept in balance for millions of years. After the industrial revolution, human beings began to utilize fossil fuels to obtain energy. The balance of nature is thus destroyed, leading to climate anomalies (e.g., global warming) due to the increased concentration of CO 2 caused by the burning of fossil fuels and other industrial activities. Therefore, reducing emissions of CO 2 and other greenhouse gases is essential for protecting the natural environment. [5,6] At present, carbon emissions can be reduced by decreasing energy consumption, improving energy utilization efficiency, replacing fossil fuels with clean energy (e.g., solar energy, wind energy, geothermal energy, and hydrogen energy), and carbon capture and storage (CCS). However, it is still hard for most of the clean energy to completely replace fossil fuels in the near future because of safety, technology availability, and economical efficiency. [7] CCS is an important technological means to reduce carbon emission. [8,9] However, CCS requires high costs and may cause leakage of carbon because the captured carbon is usually sequestrated in saline aquifers, coal seams, depleted reservoirs, etc. [10-12] Therefore, carbon capture, utilization and storage (CCUS) has been acknowledged as a promising technology to achieve efficient reduction of carbon and also generate economic benefits, which is more practical and economical. [13] CO 2 is an important material for industry and has been applied in many fields, as shown in Figure 3. [14,15] In the food industry, CO 2 is used in the production of carbonized beverages, food preservation, and industrial processing as a refrigerant and protective gas. It can also be applied to synthesize chemicals, drugs, polymers, such as degradable plastics, etc. High-purity

show abstract

“…In the majority of cases, the storage capacity and migration capacity of oil, gas, and water are primarily determined by the structural properties of the pores. Doing a good job of analyzing the structure of the pores in oil recovery, figuring out the quality of the reservoirs, and making good predictions about the importance of oil and gas production [1][2][3]. The rock slices have solid particles and inter-particle pores, and the spaces in between the rock particles have been filled with a blue or red colored glue that is quite noticeable and simple to recognize under the microscope.…”

Section: Introductionmentioning

confidence: 99%

Pore extraction method of rock thin section based on Attention U-Net

Pan

Tao

2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

This paper proposes a solution to the shortcomings of traditional segmentation methods. The labeling method uses the incomplete labeling method in weakly supervised labeling to simplify labeling and combines transfer learning to initialize the weight of the network in advance. According to the above ideas, an end-to-end deep learning model is trained. The fine rock particles have a greater segmentation impact, and in addition to that, when compared with the popular deep learning semantic segmentation approaches, they also have a significant improvement. The next phase is to continue improving the network by optimizing the parameters, with the number of network layers and the total number of parameters remaining unaltered. This requirement must be satisfied before moving on to the next stage. The capability of generalization enhances the impact of segmentation on particles as well as their accuracy. Experiments show that this method is significantly better than the traditional method for segmenting rock flakes with manual operation and has better results in the segmentation and extraction of fine particles compared with the mainstream convolutional neural network.

show abstract

Orthogonal microscopy image acquisition analysis technique for rock sections in polarizer angle domain

Cited by 7 publications

References 27 publications

Microscopy and image analysis of the micro-fabric and composition of saline rocks under different phaseCO2-Brine states

Microscopy and image analysis of the micro-fabric and composition of saline rocks under different phaseCO2-Brine states

Review on Pore Structure Characterization and Microscopic Flow Mechanism of CO₂ Flooding in Porous Media

Pore extraction method of rock thin section based on Attention U-Net

Contact Info

Product

Resources

About

Orthogonal microscopy image acquisition analysis technique for rock sections in polarizer angle domain

Cited by 7 publications

References 27 publications

Microscopy and image analysis of the micro-fabric and composition of saline rocks under different phaseCO2-Brine states

Microscopy and image analysis of the micro-fabric and composition of saline rocks under different phaseCO2-Brine states

Review on Pore Structure Characterization and Microscopic Flow Mechanism of CO2 Flooding in Porous Media

Pore extraction method of rock thin section based on Attention U-Net

Contact Info

Product

Resources

About

Review on Pore Structure Characterization and Microscopic Flow Mechanism of CO₂ Flooding in Porous Media