Ying Yu

Ying Yu

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 May 2022 in Minerals
Verified
Journal Article
Open access
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Kaisar AhmatKaisar Ahmat
Kaisar Ahmat
JCJianmei Cheng
Jianmei Cheng
YYYing Yu
Ying Yu
RZRuirui Zhao
Ruirui Zhao
JLJie Li
Jie Li
The effects of CO2-water-rock interactions on the injectivity and safety of CO2 geological storage have drawn wide attention. The geochemical reaction mechanisms in carbonate formations after CO2 injection are still controversial. To better understand the transformation of injected CO2 in carbonates and the involved geochemical reactions, we first conducted autoclave experiments reproducing the in-situ conditions of the Lianglitage Formation, Yingshan Formation, and Qiulitage Formation at the Tazhong Uplift in the Tarim Basin. We then established a batch model using TOUGHREACT-ECO2H, validated with the experimental results, to simulate the long-term CO2-water-rock interactions. It was found that the initial mineral compositions and water chemistry have important effects on the CO2-water-rock interactions in carbonate formations. The experiment results show that the dissolution of calcite and dolomite dominates in the early reaction period. However, we still observed some secondary minerals, such as ankerite, montmorillonite, calcite, and dolomite. The CO2-water-rock reactions can be more dramatic when the contents of calcite and dolomite in carbonates are closer. Moreover, the long-term simulation results show that calcite, magnesite, and hematite are the main formed secondary minerals, whereas dolomite is the major dissolved mineral. This study is helpful for a better understanding of the CO2 mineral trapping mechanism in carbonate formations.

12 November 2020 in Minerals
Verified
Journal Article
Open access
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GYGuodong Yang
Guodong Yang
XMXin Ma
Xin Ma
TFTao Feng
Tao Feng
YYYing Yu
Ying Yu
SYShuguo Yin
Shuguo Yin
YWYongsheng Wang
Yongsheng Wang
CO2 geological storage is considered as an important measure to reduce anthropogenic CO2 emissions to the atmosphere for addressing climate change. The key prerequisite for long-term CO2 geological storage is the sealing capacity of caprock. This study investigates the evolution of sealing capacity of caprock induced by geochemical reactions among CO2, water and caprock using TOUGHREACT code based on the Heshanggou Formation mudstone at the Shenhua Carbon Capture and Storage (CCS) demonstration site of China. The results show that the self-sealing phenomenon occurs in the lower part of the caprock dominated by the precipitation of dawsonite, magnesite, siderite, Ca-smectite and illite. While the self-dissolution occurs in the upper part of caprock mainly due to the dissolution of kaolinite, K-feldspar, chlorite and Ca-smectite. Sensitivity analyses indicate that the precipitation of dawsonite, magnesite, siderite is highly advantageous leading to self-sealing of caprock, with albite and chlorite dissolution providing Na+, Mg2+ and Fe2+. The dissolution of K-feldspar dominates illite precipitation by providing required K+, and albite affects Ca-smectite precipitation. The self-sealing and self-dissolution of caprock are enhanced significantly with increasing temperature, while the effect of salinity on caprock sealing capacity is negligible perhaps due to the low salinity level of formation water.

8 May 2023 in Applied Thermal Engineering
Verified
Journal Article
Closed access
YYYing Yu
Ying Yu
FCFei Cheng
Fei Cheng
JCJianmei Cheng
Jianmei Cheng
GYGuodong Yang
Guodong Yang
XMXin Ma
Xin Ma

20 April 2024 in International Journal of Greenhouse Gas Control
Verified
Journal Article
Closed access
RZRuirui Zhao
Ruirui Zhao
ZZZhi Zhong
Zhi Zhong
YYYing Yu
Ying Yu
RLRong Lü
Rong Lü
TSTingting Shi
Tingting Shi
JCJianmei Cheng
Jianmei Cheng

12 December 2024 in Water Resources Research
Verified
Journal Article
Open access
XZXiaowei Zhao
Xiaowei Zhao
YYYing Yu
Ying Yu
JCJianmei Cheng
Jianmei Cheng
KDKuiyuan Ding
Kuiyuan Ding
YLYiming Luo
Yiming Luo
YLYihang Lin
Yihang Lin
Properly understanding the evolution mechanisms of groundwater storage anomaly (GWSA) is the basis of making effective groundwater management strategies. However, current analysis methods cannot objectively capture the spatiotemporal evolution characteristics of GWSA, which might lead to erroneous inferences of the evolution mechanisms. Here, we developed a new framework to address the challenge of spatiotemporal heterogeneity in the GWSA evolution analysis. It is achieved by integrating the Bayesian Estimator of Abrupt change, Seasonal change, and Trend (BEAST), the Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH), and the Optimal Parameters‐based Geographical Detector (OPGD). In the case study of the North China Plain (NCP), the GWSA time series is divided into four stages by three trend change points in BEAST. An increasing trend of GWSA is observed at Stage IV, and the third trend change point occurs before the third seasonal change point. This distinguishes the positive feedback of anthropogenic interventions and the effects of seasonal precipitations for the first time. Moreover, the spatial distribution of GWSA in the NCP is classified into two clusters by BIRCH in each stage. The differences in GWSA trends and responses to environmental changes between Cluster‐1 and Cluster‐2 are significant. Then the driving effects of 16 factors on the evolution of GWSA are identified using OPGD, in which the contributions of topographic and aquifer characteristics are highlighted by quantitative analysis. This framework provides a novel method for examining the spatiotemporal heterogeneity of GWSA, which can be extended to analyze spatiotemporal trends in GWSA at diverse scales.

10 December 2017 in Geofluids
Verified
Journal Article
Open access
PDF file
YYYing Yu
Ying Yu
YLYilian Li
Yilian Li
GYGuodong Yang
Guodong Yang
FJFengcheng Jiang
Fengcheng Jiang
SYSen Yang
Sen Yang
YWYongsheng Wang
Yongsheng Wang
The Shenhua CO2 capture and sequestration (CCS) project has achieved its goal of injecting 100,000 tons/year CO2 into the saline aquifers of the Ordos Basin. This study analyzes the geochemical interactions between CO2, formation fluid, and host rock of the major formations in the Ordos Basin, assesses the CO2 trapping capabilities, and predicts the final mineral forms of injected CO2. Reactive transport simulations are performed using a 2D radial model, which represents a homogeneous formation. The results show that 80% of injected CO2 remains as free supercritical gas in each formation after injection, while most of CO2 is sequestrated in different carbonate mineral assemblages after 10,000 years. The CO2 mineral trapping capacities of the Shiqianfeng and Shihezi formations are smaller than the Liujiagou formation. Calcite, dawsonite, and siderite are stable CO2 trapping minerals, while dolomite, ankerite, and magnesite are not. The increase in porosity and permeability of the three formations in the first 100 years agrees with the observation from the Shenhua CCS Project. Also the decrease in porosity and permeability after 100 years shows agreement with other modelling studies using the similar methods. These results are useful for the evaluation of the geochemical process in long-term CO2 geological storage.