Haiyang Yu

Prof. Haiyang Yu

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

View All Publications
16 January 2020 in Archives of Computational Methods in Engineering
Verified
Journal Article
Closed access
PDF file
HLHong Li
Hong Li
HYHaiyang Yu
Haiyang Yu
NCNai Cao
Nai Cao
HTHe Tian
He Tian
SCShiqing Cheng
Shiqing Cheng

8 February 2018 in Energies
Verified
Journal Article
Open access
PDF file
YHYouwei He
Youwei He
Shiqing ChengShiqing Cheng
Shiqing Cheng
Zhenhua RuiZhenhua Rui
Zhenhua Rui
JQJiazheng Qin
Jiazheng Qin
LFLiang Fu
Liang Fu
JLJun Lu
Jun Lu
Although technical advances in hydraulically fracturing and drilling enable commercial production from tight reservoirs, oil/gas recovery remains at a low level. Due to the technical and economic limitations of well-testing operations in tight reservoirs, rate-transient analysis (RTA) has become a more attractive option. However, current RTA models hardly consider the effect of the non-uniform production on rate decline behaviors. In fact, PLT results demonstrate that production profile is non-uniform. To fill this gap, this paper presents an improved RTA model of multi-fractured horizontal wells (MFHWs) to investigate the effects of non-uniform properties of hydraulic fractures (production of fractures, fracture half-length, number of fractures, fracture conductivity, and vertical permeability) on rate transient behaviors through the diagnostic type curves. Results indicate obvious differences on the rate decline curves among the type curves of uniform properties of fractures (UPF) and non-uniform properties of fractures (NPF). The use of dimensionless production integral derivative curve magnifies the differences so that we can diagnose the phenomenon of non-uniform production. Therefore, it’s significant to incorporate the effects of NPF into the RDA models of MFHWs, and the model proposed in this paper enables us to better evaluate well performance based on long-term production data.

3 March 2015 in Scientific Reports
Verified
Journal Article
Open access
PDF file
HYHaiyang Yu
Haiyang Yu
YHYouwei He
Youwei He
PLPeng Li
Peng Li
SLShuang Li
Shuang Li
TZTiantian Zhang
Tiantian Zhang
CHChun Huh
Chun Huh
Understanding and controlling fluids flow at the microscale is a matter of growing scientific and technological interest. Flow enhancements of water-based nanoparticle dispersions through microscale porous media are investigated through twelve hydrophilic sedimentary rocks with pore-throat radius between 1.2 and 10 μm, which are quantitatively explained with a simple model with slip length correction for Darcy flow. Both as wetting phase, water exhibited no-slip Darcy flow in all cores; however, flow enhancement of nanoparticle dispersions can be up to 5.7 times larger than that of water, and it increases with the decreasing of pore-throat radius. The experimental data reveals characteristic slip lengths are of order 500 and 1000 nm for 3M® and HNPs-1 nanoparticles, respectively, independent of the lithology or nanoparticle concentration or shear rate. Meanwhile, the phenomenon of flow degradation is observed for HNPs-2 nanoparticles. These results explore the feasible application of using nanoparticle dispersions to control flow at the microscale.

10 January 2019 in Petroleum Science
Verified
Journal Article
Open access
PDF file
ZYZhong-Lin Yang
Zhong-Lin Yang
HYHaiyang Yu
Haiyang Yu
ZCZhe-Wei Chen
Zhe-Wei Chen
SCShi-Qing Cheng
Shi-Qing Cheng
JSJian-Zheng Su
Jian-Zheng Su
This paper presents a three-dimensional, three-phase compositional model considering CO2 phase equilibrium between water and oil. In this model, CO2 is mutually soluble in aqueous and hydrocarbon phases, while other components, except water, exist in hydrocarbon phase. The Peng–Robinson (PR) equation of state and the Wong–Sandler mixing rule with non-random two-liquid parameters are used to calculate CO2 fugacity in the aqueous phase. One-dimensional and three-dimensional CO2 flooding examples show that a significant amount of injected CO2 is dissolved in water. Our simulation shows 7% of injected CO2 can be dissolved in the aqueous phase, which delays oil recovery by 4%. The gas rate predicted by the model is smaller than the conventional model as long as water is undersaturated by CO2, which can be considered as “lost” in the aqueous phase. The model also predicts that the delayed oil can be recovered after the gas breakthrough, indicating that delayed oil is hard to recover in field applications. A three-dimensional example reveals that a highly stratified reservoir causes uneven displacement and serious CO2 breakthrough. If mobility control measures like water alternating gas are undertaken, the solubility effects will be more pronounced than this example.

14 December 2022 in Energy & Fuels
Verified
Journal Article
Closed access
SQSongchao Qi
Songchao Qi
HYHaiyang Yu
Haiyang Yu
FXFeifan Xie
Feifan Xie
MHMengpo Hu
Mengpo Hu
JLJun Lu
Jun Lu
YWYang Wang
Yang Wang

16 July 2024 in Fuel
Verified
Journal Article
Closed access
XHXiaobing Han
Xiaobing Han
HYHaiyang Yu
Haiyang Yu
HTHuiting Tang
Huiting Tang
PSPeng Song
Peng Song
THTao Huang
Tao Huang
YWYang Wang
Yang Wang