研究兴趣
1.地下储能（储氢、储氦、储气）及二氧化碳封存机理研究
2.深部岩石力学理论与多物理场多相态耦合方法研究
3.人工智能在非常规油气勘探开发应用研究
4.地球物理测井与石油工程交叉应用研究
科研项目
1.国家自然科学基金优秀青年科学基金项目(海外)，主持
2.国家自然科学基金青年项目，《页岩水力裂缝与层理作用机理的动态光散射实验表征及理论模型研究》，主持
3.国家自然科学基金地震科学联合基金重点支持项目，《长宁页岩气开发区地震活动性实时监测与机理研究》，合作方负责人
4.中国石油天然气集团有限公司科技创新基金项目，《多模式压裂裂缝竞争扩展机理与多相态耦合效应研究》，主持
5.九三学社上海市委参政议政课题培育项目，《关于推动长三角地区储气库建设和运行管理智能化的建议》，主持
6.中国石油天然气股份有限公司西南油气田分公司项目，《深层碳酸盐岩酸压模拟与实验研究》，主持
7.中海油田服务股份有限公司天津分公司项目，《储层改造全三维水力裂缝模拟方法研究》，主持
8.中国石油天然气股份有限公司大港油田分公司项目，《黄骅坳陷页岩油地层压裂基础理论与施工参数研究》，主持
研究成果
期刊论文（*代表通讯作者）
2022年
1. Zhao, X., Jin, F., Liu, X., Zhang, Z., Cong, Z., Li, Z., Tang, J*. 2022. Numerical Study of Fracture Dynamics in Different Shale Fabric Facies by Integrating Machine Learning and 3-D Lattice Method: A Case from Cangdong Sag, Bohai Bay basin, China. Journal of Petroleum Science and Engineering. 218: 110861. doi:10.1016/j.petrol.2022.110861.
2. Wang, H., Yue, A., Zhang, X., Tang, J*., He, X., Luo, X., Han, B. 2022. Bulk Density Response and Experimental Study of Pulsed Neutron-Gamma Density Logging. Frontiers in Earth Science. 10: 214. doi:10.3389/feart.2022.803775.
3. Cong, Z., Li, Y., Tang, J., Martyushev, D., Hubuqin, Yang, F. 2022. Numerical Simulation of Hydraulic Fracture Height Layer-through Propagation Based on Three-dimensional Lattice Method. Engineering Fracture Mechanics. 264:108331. doi:10.1016/j.engfracmech.2022.108331.
4.Zhao, W., Hu, F., Tang, J., Liu, T., Li, C. 2022. An Approach to Calculate Bound Water Saturation by NMR Logging Spectral Coefficient Method. Acta Geophysica. doi: 10.1007/s11600-021-00635-0.
5. Wang, X., Zhang, F., Tang, M., Du, X., Tang, J. 2022. Effect of Stress Shadow Caused by Multistage Fracturing from Multiple Well Pads on Fracture Initiation and Near-wellbore Propagation from Infill Wells. SPE Journal. 27(01):204-225. doi:10.2118/208577-PA.
6. Liu, Z., Feng, Q., Wang, Y., Wang, H., Zou, L., Tang, J*. 2022. Fracture height prediction model considering bedding layers effect and construction optimization approach for Weiyuan shale gas reservoirs. Well Logging Technology. 46 (1): 114-121.
2021年
7.Tang, J., Fan, B., Xiao, L., Tian, S., Zhang, F., Zhang, L., Weitz, D. 2021. A New Ensemble Machine Learning Framework for Searching Sweet Spots in Shale Reservoirs. SPE Journal. 26(01):482-497. doi:10.2118/204224-PA.
8.Zhang, F., Wang, X., Tang, M., Du, X., Xu, C., Tang, J*., Damjanac, B. 2021. Numerical Investigation on Hydraulic Fracturing of Extreme Limited Entry Perforating in Plug-and-Perforation Completion of Shale Oil Reservoir in Changqing Oilfield, China. Rock Mechanics and Rock Engineering. 54:2925-2941. doi:10.1007/s00603-021-02450-x.
9.Jin, S., Wang, X., Wang, Z., Mo, S., Zhang, F., Tang, J*. 2021. Evaluation Approach of Rock Brittleness Index for Fracturing Acidizing Based on Energy Evolution Theory and Damage Constitutive Relation. Lithosphere. Special 4:2864940. doi:10.2113/2021/2864940.
10.Fan, Y., Tang, J*., Chen, W., Zhang, Z., Tang, B., Yang, W., 2021. Fracturing optimization design of spiral perforation completion in tight sandstone channel. Well Logging Technology. 45(6): 1004-1338.
11.Zhang, F., Huang, L., Yang, L., Dontsov, E., Weng, D., Liang, H., Yin, Z., Tang, J. 2021. Numerical Investigation on the Effect of Depletion-induced Stress Reorientation on Infill Well Hydraulic Fracture Propagation. Petroleum Science. Accepted. doi:10.1016/j.petsci.2021.09.014.
2020年
12.Zhang, F., Jiang, Z., Chen, Z., Yin, Z., Tang, J*. 2020. Hydraulic Fracturing Induced Fault Slip and Casing Shear in Sichuan Basin: A Multi-scale Numerical Investigation. Journal of Petroleum Science and Engineering. 195: 107797. doi:10.1016/j.petrol.2020.107797.
13.Xie, J., Tang, J*, Yong, R., Fan, Y., Zuo, L., Chen, X., Li, Y. 2020. A 3-D Hydraulic Fracture Propagation Model Applied for Shale Gas Reservoirs with Multiple Bedding Planes. Engineering Fracture Mechanics. 228:106872. doi:10.1016/j.engfracmech.2020.106872.
14.Li, Y., Long, M., Tang, J*., Chen, M., Fu, X. 2020. A Hydraulic Fracture Height Mathematical Model Considering the Influence of Plastic Region at Fracture Tip. Petroleum Exploration and Development. 47(1): 184-195. doi:10.1016/S1876-3804(20)60017-9.
15.Zhang, L., Abbaspourrad, A., Parsa, S., Tang, J., Cassiola, F., Zhang, M., Tian, S., Dai, C., Xiao, L., Weitz, D. 2020. Core–Shell Nanohydrogels with Programmable Swelling for Conformance Control in Porous Media. ACS Applied Materials & Interfaces. 12(30): 34217-34225. doi:10.1021/acsami.0c09958.
16.Tian, S., Zhang, P., Sheng, M., Wang, T., Tang, J., Xiao, L. 2020. Modification of Microscopic Properties of Shale by Carbonic Acid Treatment: Implications for CO2-Based Fracturing in Shale Formations. Energy & Fuels. 34(3): 3458-3466. doi:10.1021/acs.energyfuels.9b03772.
2019年
17.Tang, J*., Wu, K., Zuo, L., Xiao, L., Sun, S., Ehlig-Economides, C. 2019. Investigation of Rupture and Slip Mechanisms of Hydraulic Fracture in Multiple-layered Formation. SPE Journal. 24(05): 2292-2307. doi:10.2118/197054-PA.
18.Tang, J*., Ehlig-Economides, C., Fan, B., Cai, B., Mao, W. 2019. A Microseismic-based Fracture Properties Characterization and Visualization Model for the Selection of Infill Wells in Shale Reservoirs. Journal of Natural Gas Science and Engineering. 67: 147-159. doi:10.1016/j.jngse.2019.04.014.
19.Tang, J*., Li, J., Tang, M., Du, X., Yin, J., Guo, X., Wu, K., Xiao, L. 2019. Investigation of Multiple Hydraulic Fractures Evolution and Well Performance in Lacustrine Shale Oil Reservoirs Considering Stress Heterogeneity. Engineering Fracture Mechanics. 218: 106569. doi:10.1016/j.engfracmech.2019.106569.
20.Li, Y., Zhao, Y., Tang, J*., Zhang, L., Zhou, Y., Zhu, X., Jia, D., Chen, M. 2019. Rock Damage Evolution Model of Pulsating Fracturing Based on Energy Evolution Theory. Energy Science and Engineering. 00: 1-18. doi:10.1002/ese3.567.
21.Guo, X., Wu, K., An, C., Tang, J., Killough, J. 2019. Numerical Investigation of Effects of Subsequent Parent Well Injection on Interwell Fracturing Interference Using Reservoir-Geomechanics-Fracturing Modeling. SPE Journal. 24(04): 1884-1902. doi:10.2118/195580-PA.
22.Guo, X., Wu, K., Killough, J., Tang, J. 2019. Understanding the Mechanism of Interwell Fracturing Interference Based on Reservoir-Geomechanics-Fracturing Modeling in Eagle Ford Shale. SPE Reservoir Evaluation and Engineering. 22(03): 842-860. doi:10.2118/194493-PA.
23.Chen, X., Chen, Y., Zou, L., Zhang, X., Dong, Y., Tang, J., McClements, D., Liu, W. 2019. Plant-Based Nanoparticles Prepared from Proteins and Phospholipids Consisting of a Core-Multilayer-Shell Structure: Fabrication, Stability, and Foamability. Journal of Agricultural and Food Chemistry. 67(23): 6574-6584. doi:10.1021/acs.jafc.9b02028.
2018年
24.Tang, J., Wu, K., Zeng, B., Huang, H., Hu, X., Guo, X., Zuo, L. 2018. Investigate Effects of Weak Bedding Interfaces on Fracture Geometry in Unconventional Reservoirs. Journal of Petroleum Science and Engineering. 165: 992-1009. doi:10.1016/j.petrol.2017.11.037.
25.Tang, J., Wu, K. 2018. A 3-D Model for Simulation of Weak Interface Slippage for Fracture Height Containment in Shale Reservoirs. 2018. International Journal of Solids and Structures. 144-145: 248-264. doi:10.1016/j.ijsolstr.2018.05.007.
26.Tang, J*., Wu, K., Li, Y., Hu, X., Liu, Q., Ehlig-Economides, C. 2018. Numerical Investigation of the Interactions between Hydraulic Fracture and Bedding Planes with Non-orthogonal Approach Angle. Engineering Fracture Mechanics. 200: 1-16. doi:10.1016/j.engfracmech.2018.07.010.
27.Xie, J., Huang, H., Ma, H., Zeng, B., Tang, J., Yu, W., Wu, K. 2018. Numerical Investigation of Effect of Natural Fractures on Hydraulic-fracture Propagation in Unconventional Reservoirs. Journal of Natural Gas Science and Engineering. 54: 143-153. doi:10.1016/j.jngse.2018.04.006.
28.Hu, X., Wu, K., Song, X., Yu, W., Tang, J., Li, G., Shen, Z. 2018. A New Model for Simulating Particle Transport in A Low-viscosity Fluid for Fluid-driven Fracturing. AIChE Journal. 64(9): 3542-3552. doi:10.1002/aic.16183.
29.Hu, X., Wu, K., Li, G., Tang, J., Shen, Z. 2018. Effect of Proppant Addition Schedule on the Proppant Distribution in A Straight Fracture for Slickwater Treatment. Journal of Petroleum Science and Engineering. 167: 110-119. doi:10.1016/j.petrol.2018.03.081.
教学情况
主讲课程：
《地球物理测井》（本科生）
《岩石物理与地质力学》（硕士/博士研究生）
《深度学习与人工智能基础及其在地球物理中的应用》（硕士/博士研究生，承担部分）
招生与招聘
欢迎具有计算机科学、工程力学、石油工程、机械工程、应用数学、应用物理相关背景的同学申请课题组的博士后、博士生、硕士生，研究方向可参考主页的研究兴趣专栏。课题组2024年计划招收博士后1名，博士生2名，硕士生2名。