袁彬，男，山东临朐人，教授，博士生导师，国家海外高层次青年人才，国家特聘青年专家，山东省泰山学者，学校首批光华学者特聘教授，国家重点研发计划项目负责人。长期从事油气藏渗流力学与高效数值模拟、非常规油气压裂生产监测调控、CO2驱油与埋存过程模拟与强化化学材料等方面科研工作，近5年承担国家自然科学基金、重点研发计划、加拿大自然科学与工程基金、美国化学协会石油研究基金等国家级项目10余项，成果在国内外超20个油田应用推广，在SPE J、AIChE J等权威期刊发表SCI论文70余篇，出版英文著作1部。曾先后兼任期刊《Journal of Natural Gas Science and Engineering》执行主编、《Geoenergy Science and Engineering》副主编、《Fuel》专题主编、URTeC会议主题委员会主席、国际石油工程师协会（SPE）数据科学与工程计算专委会委员、中国石油学会非常规油气专委会委员、中国工程院院刊《Engineering》青年编委、中国石油学会高端智库专家等。

学习与工作经历：
2007.09-2011.07，中国石油大学（华东），石油工程学士
2011.09-2014.07，中国石油大学（华东），油气田开发工程硕士
2014.09-2017.05，美国俄克拉荷马大学，石油工程博士
2017.05-2017.09，美国俄克拉荷马大学，石油地质与工程博士后研究员
2017.10-2020.06，加拿大卡尔加里大学，TOC油藏动态监测技术首席（Team Lead）
2020.07-2020.11，中国石油大学（华东），石油工程学院，特任教授、博导
2020.12- 至 今，中国石油大学（华东），石油工程学院，教授、博导
2021.01-2022.01，中国工程院，工程管理学部，干部借调
2021.07- 至 今，美国俄克拉荷马大学，兼职教授（Adjunct Professor）

以“石油工程+人工智能+纳米新材料”为主线，立足于石油工程、应用化学、地质工程、应用数学、人工智能等多学科交叉融合，长期致力为油气田绿色高效开发提供“精准、实用、高效、智慧”解决方案，主要研究方向包括：

(1) 油气藏压裂生产智能监测与调控
(2) CO2驱油与埋存强化理论与技术
(3) 油气藏渗流力学与高效数值模拟
(4) 油田开发大数据分析与人工智能
(5) 纳米流体新材料提高油藏采收率

本科专业必修课 《渗流力学》 石油工程专业
本科专业限选课 《油藏驱替机理》 石油工程专业
本科专业限选课 《现代试井解释原理》 石油工程专业
研究生课程 《高等油气藏监测理论与方法》 油气田开发工程专业

(1) SCI期刊Geoenergy Science and Engineering副主编
(2) 中国工程院院刊《Engineering》青年编委
(3) SCI期刊Journal of Natural Gas Science and Engineering执行主编、副主编
(4) SCI期刊Fuel《非常规油气开发技术进展》专题主编
(5) SCI期刊Simulation Trans. of SCS《多相多尺度颗粒流动模拟》专题主编
(6) 中国石油学会高端智库专家
(7) 国际石油工程师协会（SPE）数据科学与工程计算（DSEA）技术委员会委员，
(8) 国际数字地球学会中国国家委员会数字能源专业委员会委员
(9) 中国石油学会非常规油气专业委员会委员
(10) SPE/AAPG/SEG国际非常规资源技术大会（URTeC）国际油气资源主题委员会主席
(11) 深圳大学学报（理工版）编委、【环境与能源】学科主编
(12) 首届中国石油大学北美青年学者联谊会秘书长
(13) 国家自然科学基金委项目评议专家
(14) SPE Journal、Applied Energy、Nanotechnology等30+部权威SCI期刊审稿专家

2020级：刘旭鹏
2021级：赵明泽（博士生）、李 跃，朱 璇、李锦昌、韩明亮、刘帅辰
2022级：黄 刚（博士生）、田建泉、张洪彬、柯 灿、万 硕、傅婷婷、付晨龙
2023级：彭晓寅（博士生）、高冀东（博士生）、张 硕、 陈耀明、金傲然、李东明
张玉洁、熊浩男、侯慧琳

“石油工程不仅仅是研究石油，更是充满科学奥秘和工程前沿的“天然”知识宝库”
课题组文化“严肃、活泼、团结、责任”，帮助每位学生找到适合的跑道，提供足够资源和平台，助力每位学生成长成才！
热忱欢迎有志融入国家能源战略，有志向将计算机、人工智能、新材料融入石油开发的莘莘学子报考博士、硕士研究生，专业背景包括但不仅限：石油工程、计算机、地质、信息、数学、力学、机械自动化等。

博士招生专业：（1）082002|油气田开发工程；（2）085700|资源与环境
硕士招生专业：（1）082002|油气田开发工程；（2）085700|资源与环境

(1) CO2驱油埋存强化体系与注采优化调控关键技术及应用研究，国家重点研发计划“政府间国际科技创新合作专项”项目，主持，2023.01-2025.12
(2) 油/水/固界面浸润调控智能流体提高采收率关键材料与机理研究，国家“变革性技术关键科学问题重点专项”项目专题，主持，2020.11-2025.05
(3) 活性纳米流体油/水/固界面调控与多相渗流微观机理研究，国家自然基金面上项目，主持，2021.01-2024.12
(4) 复杂油气藏开发动态监测与提高采收率，国家级海外高层次引进人才资助项目，主持，2020.12-2023.12
(5) 致密油藏纳米流体提高采收率，山东省泰山学者资助项目，主持，2021.01-2024.12
(6) 复杂油藏压裂生产智能监测与优化调控，自主创新科研计划，主持，2020.07-2025.07
(7) CO2深部调驱/高效埋存协同调控技术研究，自主创新科研计划，主持，2021.11-2024.10
(8) 基于数据驱动的开发指标预测与调控方法研究：单井措施效果模式识别及样本建立，中石化胜利油田勘探开发研究院，主持，2020.11-2021.09
(9) 砂砾岩油藏试油压裂动态监测与优化预测技术研究，中石油新疆油田分公司，主持，2021.06-2021.12
(10) 致密砂岩气藏剩余气挖掘潜力量化评价技术，中国石油集团川庆钻探工程有限公司，主持，2022.04-2022.11
(11) 页岩油水平井压裂甜点识别及分段分簇优化，中石化胜利油田工程有限公司，主持，2022.06-2022.12
(12) 泡沫液膜稳定性机理及调驱性能研究，中石化胜利油田勘探开发研究院，主持，2022.09-2022.12
(13) 页岩气井压后多尺度非稳态流动机理研究，中石油勘探开发研究院，主持，2022.10-2023.09
(14) 页岩气压裂过程事件识别处理，中石油勘探开发研究院，主持，2023.01-2023.06
(15) 压裂水平井动态油藏-井筒-油嘴协同分析解释，中石油勘探开发研究院，主持，2023.5-2023.11

(1) 2019年度加拿大SPE会议十佳热点论文奖
(2) 2017年度美国俄克拉荷马大学石油与地质工程杰出博士奖
(3) 2016年度美国俄克拉荷马大学石油与地质工程杰出博士奖

(1) 国家高层次青年人才
(2) 山东省泰山学者
(3) 首批中国石油大学（华东）光华学者

1. Yuan, B., and Wood, D. A. (2018). Formation damage during improved oil recovery: Fundamentals and applications. Cambridge: Gulf Professional Publishing

1. 袁彬，赵明泽，孟思炜等. 水平井压裂多类型复杂事件智能识别与预警方法[J]. 石油探勘与开发, 2023,50(06):1298-1306.
2. Liu S., Yuan B., Zhang W. (2023). A New Gradient-Accelerated Two-Stage Multi-Objective Optimization Method for CO2-Alternative-Water Injection in Oil Reservoir. SPE Journal. Accepted.
3. Li Y, Yuan B., Ke C., Zhang W., Han M., Hou H. (2023). A New Hybrid Pore-Scale Simulation Method to Characterize Nanoparticles Transport, Aggregation, and Attachment Behaviors. Industrial & Engineering Chemistry Research. 2023, 62(27), 10676–10685.
4. Li J., Yuan B., Clarkson C.R., Tian J. (2023). A semi-analytical rate-transient analysis model for light oil reservoirs exhibiting reservoir heterogeneity and multiphase flow, Petroleum Science, 20(01): 309-321
5. Ke C, Yuan B, Li Y, et al. Micro-scale simulation of adsorption-diffusion behaviors of nanoparticles onto mobile oil/water interface[J]. Powder Technology, 2023, 429: 118836.
6. Yuan, B., Clarkson, C. R., Zhang, Z., & Zhu, X. (2021). Deviations from transient linear flow behavior: A systematic investigation of possible controls on abnormal reservoir signatures. Journal of Petroleum Science and Engineering, 205, 108910.
7. Yang, Z., Yuan, B., Clarkson, C.R., Ghanizadeh, (2021). A. Evaluation of surface diffusion in microporous/mesoporous media using a numerical model applied to rate-of-adsorption data: Implications for improved gas permeability estimation in shales/tight rocks using drill cuttings. Fuel, 285, 118974.
8. Yuan, B. (2021). Introduction to special issue on advances in multi-phase fluid and multi-scale particulate reactive flow modeling and simulation for petroleum engineering applications. Simulation Transactions of Society for Modeling and Simulation International, 97(2),65-67.
9. 刘旭鹏,袁彬,戴彩丽,李跃,韩明亮.低渗油藏活性纳米颗粒减阻增注解析模拟方法[J].深圳大学学报(理工版),2021,38(06):563-571.
10. Clarkson, C.R., Yuan, B., and Zhang, Z., et al. (2020). Evaluation of the impact of multi-phase flow on reservoir signatures in the Wolfcamp shale. Journal of Natural Gas Science and Engineering, 76, 103187.
11. Behnam, Z., Clarkson, C.R. Yuan, B., and Zhang, Z., (2020). Field trial of a modified DFIT (pump-in/flowback) designed to accelerate estimates of closure pressure, reservoir pressure and well productivity index. Journal of Natural Gas Science and Engineering, 78, 103265.
12. Clarkson, C.R., Yuan, B., Zhang, Z. (2020). A New Straight-Line Analysis Method for Estimating Fracture/Reservoir Properties Using Dynamic Fluid-in-Place Calculations. SPE Reservoir Evaluation & Engineering, 23(02): 606-626.
13. Zhang, Z., Clarkson, C.R., Williams-Kovacs, J., Yuan, B., Ghanizadeh, A. (2020). Rigorous Estimation of the Initial Conditions of Flowback Using a Coupled Hydraulic-Fracture/Dynamic-Drainage-Area Leakoff Model Constrained by Laboratory Geomechanical Data. SPE Journal. SPE-201095-PA.
14. Yuan, B., Zhang, Z., Clarkson, C.R. (2019). Generalized analytical model of Transient linear flow in heterogeneous fractured liquid-rich tight reservoirs with non-static properties. Applied Mathematical Modelling, 76, 632-654.
15. Yuan, B., Zhang, Z., Clarkson, C.R. (2019). Improved distance-of-investigation model for rate-transient analysis in a heterogeneous unconventional reservoir with nonstatic properties. SPE Journal, 24(02): 2362-2377, SPE-191698-PA.
16. Yuan, B., Moghanloo, R.G. (2019) Analytical Modeling Nanoparticles-Fines Reactive Transport in Porous Media Saturated with Mobile Immiscible Fluids. AIChE Journal, 65(10): e16702.
17. Yuan, B. Moghanloo, R.G. (2018). Nanofluid Precoating: An effective method to reduce fines migration in radial systems saturated with two mobile immiscible fluids. SPE Journal, 23(03), 998-1018.
18. Yuan, B. Moghanloo, R.G. and Wang, W. (2018). Using nanofluids to control fines migration for oil recovery: Nanofluids co-injection or nanofluids pre-flush? - A comprehensive answer. Fuel, 215, 474-483.
19. Yuan, B. and Wood, D. A. (2018). A holistic review of geosystem damage during unconventional oil, gas and geothermal energy recovery. Fuel, 227, 99-110.
20. Yuan, B. and Wood, D. (2018). A comprehensive review of formation damage during enhanced oil recovery. Journal of Petroleum Science and Engineering, 167, 287-299
21. Wang, K., Yuan, B., Ji, G., and Wu, X. (2018). A comprehensive review of geothermal energy extraction and utilization in oilfields. Journal of Petroleum Science and Engineering, 168: 465-477.
22. Zhang, Y., Zhang, J., Yuan, B., and Yin, S. (2018). In-situ stresses controlling hydraulic fracture propagation and fracture breakdown pressure. Journal of Petroleum Science and Engineering, 164, 164-173.
23. Wang, W., Su, Y., Yuan, B., Wang, K., and Cao, X. (2018). Numerical simulation of fluid flow through fractal-based discrete fractured network. Energies, 11(2), 286.
24. Yuan, B. and Moghanloo, R.G. (2018). Nanofluid pre-treatment, an effective strategy to improve the performance of low-salinity waterflooding. Journal of Petroleum Science and Engineering 165, 978-991.
25. Yuan, B. and Moghanloo, R.G. (2017). Analytical model of well injectivity improvement using nanofluid preflush. Fuel, 202, 380-394.
26. Yuan, B., Zheng, D., Moghanloo, R.G., and Wang, K. (2017). A novel integrated workflow for evaluation, optimization, and production predication in shale plays. International Journal of Coal Geology, 180, 18-28.
27. Zheng, D., Yuan, B., Moghanloo, R.G. (2017). Analytical modeling dynamic drainage volume for transient flow towards multi-stage fractured wells in composite shale reservoirs. Journal of Petroleum Science and Engineering, 149, 756-764.
28. Wang, W., Yuan, B., and Su, Y. (2018). A composite dual-porosity fractal model for channel-fractured horizontal wells. Engineering Application Computational Fluid Mechanics, 12(01): 104-116.
29. Yuan, B., Xu, C., and Wang, K., (2017). Enhance horizontal well performance by optimising multistage hydraulic fracture and water flooding. International Journal of Coal, Gas Oil Technology, 15(01): 25-46.
30. Hao, Y., Wang, W., Yuan, B., Su, Y., An, J., and Shu, H. (2018). Shale gas simulation considering natural fractures, gas desorption, and slippage flow effects using conventional modified model. Journal of Petroleum Exploration and Production Technology, 8(2), 607-615.
31. Yuan, B. and Moghanloo, R.G. (2016). Analytical evaluation of nanoparticle application to mitigate fines migration in porous media. SPE Journal, 21(06), 2317-2332.
32. Yuan, B., Wang, W., Moghanloo, R.G., Su, Y., et al. (2017). Permeability Reduction of Berea Cores Owing to Nanoparticle Adsorption onto the Pore Surface: Mechanistic Modeling and Experimental Work. Energy & Fuels, 31(1), 795-804.
33. Yuan, B., Moghanloo, R.G., Shariff, E. (2016). Integrated investigation of dynamic drainage volume and inflow performance relationship (transient IPR) to optimize multistage fractured horizontal wells in tight/shale formations. Journal of Energy Resources Technology, 138(5), 052901.
34. Yuan, B. and Wood, D.A. (2015). Production analysis and performance forecasting for natural gas reservoirs: Theory and practice (2011–2015). Journal of Natural Gas Science and Engineering, (26), 1433-1438.
35. Yuan, B., Su, Y., Moghanloo, R. G., et al. (2015). A new analytical multi-linear solution for gas flow toward fractured horizontal wells with different fracture intensity. Journal of Natural Gas Science and Engineering, 23, 227-238.
36. Yuan, B., Wood, D.A., and Yu, W. (2015). Stimulation and hydraulic fracturing technology in natural gas reservoirs: Theory and case studies (2012–2015). Journal of Natural Gas Science and Engineering, (26), 1414-1421.
37. Wood, D. A., Wang, W., and Yuan, B. (2015). Advanced numerical simulation technology enabling the analytical and semi-analytical modeling of natural gas reservoirs. Journal of Natural Gas Science and Engineering, 26, 1442-1451.
38. Moghanloo, R.G., Younas, D., Yuan, B. (2015). Applying fractional flow theory to evaluate CO2 storage capacity of an aquifer. Journal of Petroleum Science and Engineering, 125, 154–161.
39. Moghanloo, R.G., Yuan, B., Ingrahama, N. (2015). Applying macroscopic material balance to evaluate dynamic drainage volume and performance prediction of shale oil/gas wells. Journal of Natural Gas Science and Engineering, 27, 466-478.
40. 袁彬,古永红,李红英,凌云,苏玉亮,王文东.苏里格东区致密气藏压裂水平井产能影响因素及其优化设计[J].西安石油大学学报(自然科学版),2013,28(02):46-48+110+4.
41. 袁彬,苏玉亮,丰子泰,徐晨,薛继超,鲁明晶.体积压裂水平井缝网渗流特征与产能分布研究[J].深圳大学学报(理工版),2013,30(05):545-550.
42. 苏玉亮,袁彬,李硕轩,古永红,李红英,苏国辉.盒8致密气储层水平井体积压裂增产影响因素[J].科技导报,2013,31(19):20-25.
43. 袁彬,苏玉亮,李硕轩,徐锡勇,古永红,姚佳.苏东气田压裂水平井分类新方法与泄气面积评价[J].科学技术与工程,2013,13(25):7322-7326.
44. 袁彬,韩龙雨,单理军,荣新明,葛际江.表面活性剂-有机膦酸盐复配体系的防垢性能[J].精细石油化工,2011,28(01):70-72.
45. 任龙,苏玉亮,王文东,赵广渊,袁彬.分段多簇压裂水平井渗流特征及产能分布规律[J].西安石油大学学报(自然科学版),2013,28(04):55-59+9.
46. 高丽,袁彬,周晓丹,刘顺,李晓慧.天然裂缝性特低渗砂岩油藏等效连续介质模型[J].中国西部科技,2012,11(03):17-18+16.
47. 苏玉亮,曹国梁,袁彬,吕广忠,王文东,鲁明晶.低渗透油藏压裂井网水电模拟[J].深圳大学学报(理工版),2013,30(03):294-298.

期刊专题-特邀主编：
1. Yuan, B., Bedrikovetsky, P., Huang, T., Moghanloo, R. G., Dai, C., Venkatraman, A., Wang, L. (2016). Special issue: Formation damage during enhanced gas and liquid recovery. Journal of Natural Gas Science and Engineering.
2. Yuan, B., Hao, F., Elsworth, D., and Dindoruk, B. (2018). Special issue: Sustainability of worldwide unconventional oil, gas and energy resources: New advances & challenges. Fuel.
3. Yuan, B., Zhang, J., Elsworth, D., Roegiers, J. C., Gil, I., Sun, B., Dindoruk, B., and Huang K. (2017). Special issue: Advances in hydraulic fracturing: Theory and practice. Journal of Petroleum Science and Engineering.
4. Yuan, B., Dai, C., Wang, W., Wang, K., Wang, Z., You, Q. (2018). Special issue: Advances in multi-phase fluids and multi-scale particles transport phenomenon and simulation. SAGE Journal of Simulation.

1. 一种基于动态泄流体积的页岩油气综合产量分析方法, 1/4,授权号：201710890029.5，
2. 一种活性纳米颗粒和水两相流动模拟方法和装置，1/5, 授权号：202110705196.4，
3. 一种多级压裂水平井多相生产油嘴工作制度优化设计方法, 1/3, 授权号：202310058351.7,
4. 基于预搜索加速的二氧化碳水气交替驱油多目标优化方法，1/3, 授权号：202311153294.7
5. 一种活性纳米颗粒油/水界面吸附-扩散行为模拟方法和装置, 1/4, 授权号：202310194369.X

1. Zhao M., Li, Y., Liu Y., Yuan B., Meng S., Zhang W., Liu H. (2023). Auto-Identification and Real-Time Warning Method of Multiple Type Events During Multistage Horizontal Well Fracturing. Unconventional Resources Technology Conference, Denver, Colorado, USA, 13–15 June 2023
2. Wan S., Yuan B., He Liu, Meng S., Lei Z., Wang W. (2023). An Improved Analytic-Hierarchy-Quantitative Pre-Evaluation Method for Post-fracturing Recoverability in Lamellation-Type Shale Oil Reservoir. Unconventional Resources Technology Conference, Denver, Colorado, USA, 13–15 June 2023
3. Yuan, B., Clarkson, C.R., Zhang, Z. (2020). Deviations from Classical Diffusion Behavior: A Systematic Investigation of Possible Controls on Abnormal Reservoir Signatures. Unconventional Resources Technology Conference, Virtual, July 2020.
4. Clarkson, C.R., Williams-Kovacs, J., Zhang, Z., Yuan, B., Ghanizadeh,A. (2020). Case Studies of Integrated Flowback Analysis: Examples from the Montney and Duvernay Formations. SPE Canada Unconventional Resources Conference, Virtual, September 2020.
5. Yuan, B., Zhang, Z., Clarkson, C.R., Moghadam, S., Hamid, H., Ghanizadeh, A. (2019). Analytical Model for History Matching Drawdown & Buildup Cycles of Multi-Fractured Horizontal Wells Experiencing Multiple Operational Upsets. Asia Pacific Unconventional Resources Technology Conference, Brisbane, Australia, 18-19 November 2019.
6. Clarkson, C.R., Yuan, B., Zhang, Z., et al. (2019). Anomalous Diffusion or Classical Diffusion in an Anomalous Reservoir? Evaluation of the Impact of Multi-Phase Flow on Reservoir Signatures in Unconventional Reservoirs. Unconventional Resources Technology Conference, Denver, Colorado, USA, July 2019.
7. Clarkson, C.R., Yuan, B., Zhang, Z., (2019). A New Straight-Line Analysis Method for Estimating Fracture/Reservoir Properties Based on Dynamic Fluid-in-Place Calculations. SPE Annual Technical Conference and Exhibition, Calgary, Alberta, Canada.
8. Zhang, Z., Clarkson, C.R., Williams-Kovacs, J, Yuan, B., Ghanizadeh, A. (2019). Rigorous Modeling of Salt Transport During Frac, Shut-in, and Flowback to Constrain Hydraulic Fracture/Reservoir Property Estimates. Unconventional Resources Technology Conference, July 22–24, 2019
9. Yuan, B., Zhang, Z., and Clarkson, C. R. (2018). Distance-of-Investigation Could be Misused in Unconventional Heterogeneous Reservoirs with Non-Static Properties. SPE Annual Technical Conference and Exhibition, September 24–26, 2018
10. Yuan, B., Zhang, Z., Hamdi, H., Clarkson, C. R. (2018). Improved Rate-Transient Analysis for Heterogeneous Fractured Liquid-Rich Tight Reservoirs With Non-Static Properties. Unconventional Resources Technology Conference, Houston, Texas, USA, July 23–25, 2018
11. Zhang, Z., Yuan, B., and Clarkson, C. R. (2018). Rigorous estimation of the initial conditions of flowback using a coupled hydraulic fracture/dynamic drainage area leakoff model constrained by laboratory geomechanical data. Unconventional Resources Technology Conference, Houston, Texas, USA, July 23–25, 2018
12. Li X ,Wang, S., Yuan, B., and Chen, S. (2018). Optimal Design and Uncertainty Assessment of CO2 WAG Operations: A Field Case Study. SPE Improved Oil Recovery Conference, Tulsa, Oklahoma, USA.
13. Cai, M., Su, Y., Sun, Z., Li, L., Yuan, B. (2018). Quantitative Evaluation of Fluvial Reservoir Geologic Model Uncertainties Using Virtual Outcrops. SPE Annual Technical Conference and Exhibition, Dallas, Texas, USA.
14. Liang, Y., Yuan, B. (2017). A Guidebook of Carbonate Laws in China and Kazakhstan: Review, Comparison and Case Studies. Carbon Management Technology Conference (CMTC 2017), Houston, TX, USA.
15. Yuan, B., Moghanloo, R. G., and Zheng, D. (2016). Enhanced Oil Recovery by Combined Nanofluid and Low Salinity Water Flooding in Multi-Layer Heterogeneous Reservoirs. SPE Annual Technical Conference and Exhibition, Dubai, U.A.E.
16. Wang, W, Yuan, B.,. and Y. Su. (2016). Nanoparticles Adsorption, Straining and Detachment Behavior and its Effects on Permeability of Berea Cores: Analytical Model and Lab Experiments. SPE Annual Technical Conference and Exhibition, Dubai, U.A.E.
17. Yuan, B., and Moghanloo, R. G. (2016). Transient IPR for Fractured Horizontal Wells in Niobrara Formation. 10th International Petroleum Technology Conference, Bangkok, Thailand
18. Yuan, B., Wang, K. (2016). Injectivity Improvement by Nanofluid Preflush During Low Salinity Water Flooding. 10th International Petroleum Technology Conference, Bangkok, Thailand.
19. Yuan, B., Zheng, D., and Moghanloo, R. G. (2016). Integrated Production Analysis Using the Concept of Dynamic Drainage Volume: Modelling, Simulation and Field Applications. SPE Asia Pacific Hydraulic Fracturing Conference, Beijing, China.
20. Yuan, B., Moghanloo, R. G., and Zheng, D. (2016). Analytical Modeling of Nanofluid Injection to Improve the Performance of Low Salinity Water Flooding. Offshore Technology Conference Asia, Kuala Lumpur, Malaysia.
21. Yuan, B., Zheng, D., Moghanloo R. G., (2016). An Integrated Approach for Fracturing Evaluation and Optimization using Rate-transient Analysis and Dynamic Drainage Volume. SPE Asia Pacific Oil & Gas Conference and Exhibition, Perth, Australia.
22. Yuan, B., Moghanloo, R. G., and Purachet. P. (2015). Applying Method of Characteristics to Study Utilization of Nanoparticles to Reduce Fines Migration in Deepwater Reservoirs. SPE European Formation Damage Conference and Exhibition, Budapest, Hungary.
23. Zheng, D., Moghanloo, R. G., and Yuan, B. (2016). Modeling Dynamic Drainage Volume for Multi-Stage Fractured Wells in Composite Shale Systems: New Analytical Solution for Transient Linear Flow. SPE Asia Pacific Hydraulic Fracturing Conference, August 24–26, 2016
24. Davudov, D., Moghanloo R. G., Yuan, B. (2016). Impact of Pore Connectivity and Topology on Gas Productivity in Barnett and Haynesville Shale Plays. Unconventional Resources Technology Conference, San Antonio, Texas, USA, August 2016.