Yingfeng Xie

Dr. Yingfeng Xie

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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17 February 2022 in Energy Reports
Verified
Journal Article
Open access
YXYingfeng Xie
Yingfeng Xie
JLJing’aN Lu
Jing’aN Lu
HCHuimin Cai
Huimin Cai
WDWei Deng
Wei Deng
ZKZenggui Kuang
Zenggui Kuang
Chaoqi ZhuChaoqi Zhu
Chaoqi Zhu
1

1 January 2022 in China Geology
Verified
Journal Article
Closed access
DKDong-Ju Kang
Dong-Ju Kang
YXYingfeng Xie
Yingfeng Xie
JLJing-An Lu
Jing-An Lu
TWTong Wang
Tong Wang
JLJin-Qiang Liang
Jin-Qiang Liang
YFYun-Xin Fang
Yun-Xin Fang
To obtain the characteristics of the gas hydrate reservoirs at GMGS3-W19, extensive geophysical logging data and cores were analyzed to assess the reservoir properties. Sediment porosities were estimated from density, neutron, and nuclear magnetic resonance (NMR) logs. Both the resistivity and NMR logs were used to calculate gas hydrate saturations, the Simandoux model was employed to eliminate the effects of high clay content determined based on the ECS and core data. The density porosity was closely in agreement with the core-derived porosity, and the neutron porosity was higher while the NMR porosity was lower than the density porosity of sediments without hydrates. The resistivity log has higher vertical resolution than the NMR log and thus is more favorable for assessing gas hydrate saturation with strong heterogeneity. For the gas hydrate reservoirs at GMGS3-W19, the porosity, gas hydrate saturation and free gas saturation was 52.7%, 42.7% and 10%, on average, respectively. The various logs provide different methods for the comprehensive evaluation of hydrate reservoir, which supports the selection of candidate site for gas hydrate production testing.

Verified
Journal Article
Open access
PDF file
JCJiale Chen
Jiale Chen
YXYingfeng Xie
Yingfeng Xie
TWTong Wang
Tong Wang
HZHaoyi Zhou
Haoyi Zhou
ZZZhen Zhang
Zhen Zhang
WDWei Deng
Wei Deng
Recently, shallow gas fields and hydrate-bearing sand in the deepwater area of the northern South China Sea have been successively discovered, and the accurate prediction of shallow sands is an important foundation. However, most of the current prediction methods are mainly for deep oil and gas reservoirs. Compared with those reservoirs with high degree of consolidation, shallow sandy reservoirs are loose and unconsolidated, whose geophysical characteristics are not well understood. This paper analyzes the logging data of shallow sandy reservoirs recovered in the South China Sea recently, which show that the sand content has a significant influence on Young’s modulus and Poisson’s ratio of the sediments. Therefore, this paper firstly constructs a new petrophysical model of unconsolidated strata targeting sandy content and qualitatively links the mineral composition and the elastic parameters of the shallow marine sediments and defines a new indicator for sandy content: the modified brittleness index (MBI). The effectiveness of MBI in predicting sandy content is then verified by measured well data. Based on pre-stack seismic inversion, the MBI is then inverted, which will identify the sandy deposits. The method proposed provides technical support for the subsequent shallow gas and hydrate exploration in the South China Sea.

Verified
Journal Article
Open access
PDF file
HLHaiyan Li
Haiyan Li
BWBing Wei
Bing Wei
DKDongju Kang
Dongju Kang
JLJundong Liu
Jundong Liu
CQCuixia Qu
Cuixia Qu
YZYanlong Zhang
Yanlong Zhang
Research on gas hydrate accumulation in the Shenhu Area of the northern South China Sea has been conducted, highlighting a vertical distribution pattern with gas hydrates at the top and free gas at the bottom, with both coexisting in the middle of the formation. To address the challenge of quantitative evaluation arising from the interaction between coexisting gas hydrates and free gas in the hydrate-bearing zone during well logging, we established an identification method based on the intersection of three porosity logs that directly displays the vertical distribution pattern of the hydrate reservoirs. To quantitatively evaluate coexisting gas hydrates and free gas, we first constructed a model for calculating gas saturation based on the relationship between the resistivity increase rate and water saturation established through core experiments in the target interval. Based on this, we utilized the neutron density normalization difference to calculate the gas saturation in the coexisting zone. By determining the relative contents of bound water and free gas, we obtained the hydrate saturation in the coexisting zone. The hydrate saturation obtained using the above methods was consistent with the results of the core experiments, indicating the reliability of the method. The research results determine the hydrate content in the coexistence zone and provide a basis for the accurate assessment of natural gas hydrate resources in the study area.

7 September 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
HLHaiyan Li
Haiyan Li
BWBing Wei
Bing Wei
DKDongju Kang
Dongju Kang
JLJundong Liu
Jundong Liu
CQCuixia Qu
Cuixia Qu
YZYanlong Zhang
Yanlong Zhang
Research on gas hydrate accumulation in the Shenhu Gas Hydrate Formation in the northern part of the South China Sea has been conducted, determining a vertical distribu-tion pattern with gas hydrates at the top and free gas at the bottom, with both coexisting in the middle of the formation. To address the challenge of quantitative evaluation arising from the interaction between coexisting gas hydrates and free gas in the hydrate-bearing zone during well logging, we established an identification method based on the intersec-tion of three porosity logs that can intuitively display the vertical distribution pattern of the hydrate reservoirs. To quantitatively evaluate coexisting gas hydrates and free gas, we first constructed a model for calculating gas saturation based on the resistivity increase rate and gas content through sedimentary core experiments in the target interval. Based on this, we utilized the neutron density normalization difference to calculate the gas satura-tion in the coexisting zone. By determining the relative contents of bound water and free gas, we obtained the hydrate saturation in the coexisting zone. The hydrate saturation ob-tained using the above methods was consistent with the results of the core experiments, indicating the reliability of the method. The research results can determine the hydrate content in the coexistence zone and provide a reliable basis for the accurate assessment of natural gas hydrate resources in the area.