Hongwen Luo

Hongwen Luo

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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1 March 2019 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
YLYu Lu
Yu Lu
HLHaitao Li
Haitao Li
CLCong Lu
Cong Lu
Keliu WuKeliu Wu
Keliu Wu
ZCZhangxin Chen
Zhangxin Chen
JSJincheng Shan
Jincheng Shan

1 January 2020 in Applied Mathematical Modelling
Verified
Journal Article
Closed access
HLHongwen Luo
Hongwen Luo
HLHaitao Li
Haitao Li
YLYu Lu
Yu Lu
YLYing Li
Ying Li
ZGZhenhua Guo
Zhenhua Guo

2 September 2016 in Energy & Fuels
Verified
Journal Article
Closed access
HLHaitao Li
Haitao Li
YLYing Li
Ying Li
SCShengnan Chen
Shengnan Chen
JGJia Guo
Jia Guo
KWKe Wang
Ke Wang
HLHongwen Luo
Hongwen Luo

23 March 2017 in Journal of Petroleum Exploration and Production Technology
Verified
Journal Article
Open access
PDF file
HLHongwen Luo
Hongwen Luo
HLHaitao Li
Haitao Li
JZJianfeng Zhang
Jianfeng Zhang
JWJunchao Wang
Junchao Wang
KWKe Wang
Ke Wang
XZXiaoping Zhu
Xiaoping Zhu
As unconventional tight oil reservoirs are currently a superior focus on exploration and exploitation throughout the world, studies on production performance analysis of tight oil reservoirs appear to be meaningful. In this paper, on the basis of modern production analysis, a method to estimate dynamic reserve (OOIPSRV) for an individual multistage fractured horizontal well (MFHW) in tight oil reservoir has been proposed. A model using microseismic data has been developed to calculate fracturing network parameters: storativity (ω) and transmissivity ratio (λ). There main focuses of this study are in two aspects: (1) find out effective methods to estimate OOIPSRV for an individual MFHW in tight oil reservoir when there is only production data available and (2) study the relationship between productivity and fracturing network parameters (ω and λ) so as to estimate the productivity for individual MFHW from microseismic data. In order to demonstrate and verify the feasibility of developed methods and models, 5 filed wells and 2 simulated wells have been analyzed. The proposed method to calculate OOIPSRV proves to be applicable for MFHW in tight oil reservoirs. From the calculated results of ω and λ for example wells, it has been found that there exists linear relationship between the value of ω/λ and average production (Qave) for an individual MFHW completed in this actual tight oil reservoir. On the basis of derived linear relationship between ω/λ and Qave, the productivity for more individual MFHWs can be directly estimated according to microseismic interpretation.

23 October 2020 in ACS Omega
Verified
Journal Article
Closed access
XCXiaojiang Cui
Xiaojiang Cui
YLYing Li
Ying Li
HLHaitao Li
Haitao Li
HLHongwen Luo
Hongwen Luo
JZJianfeng Zhang
Jianfeng Zhang
QLQuan Liu
Quan Liu

1 December 2018 in International Journal of Heat and Mass Transfer
Verified
Journal Article
Closed access
HLHongwen Luo
Hongwen Luo
HLHaitao Li
Haitao Li
YLYahui Li
Yahui Li
YLYu Lu
Yu Lu
YTYongsheng Tan
Yongsheng Tan