Deep Learning-based Computational Electromagnetics for Deep Exploration of Oil and Gas Reservoirs

[1] Qian, X. (2020). Geological structure and oil and gas exploration of the eastern mediterranean. Journal of Coastal Research, 105, 119 - 123. Search in Google Scholar

[2] Rong, Q., & Qiao, X. (2018). Fbg for oil and gas exploration. Journal of Lightwave Technology, PP(99), 1-1. Search in Google Scholar

[3] Peng, B., Tang, J., Luo, J., Wang, P., Ding, B., & Tam, K. C. (2018). Applications of nanotechnology in oil and gas industry: progress and perspective. The Canadian Journal of Chemical Engineering. Search in Google Scholar

[4] Liu, G., Zhao, P., Qin, Y., Zhao, M., Yang, Z., & Chen, H., et al. (2020). Electromagnetic immunity performance of intelligent electronic equipment in smart substation’s electromagnetic environment. Energies, 13(5), 1130-. Search in Google Scholar

[5] Hu, Y., Li, M., Liu, X., & Tan, Y. (2020). Multi-source, multi-object and multi-domain (m-sod) electromagnetic interference system optimised by intelligent optimisation approaches. Natural computing(4), 19. Search in Google Scholar

[6] Zhou, G., Pan, C., Ren, H., Wang, K., & Nallanathan, A. (2020). Intelligent reflecting surface aided multigroup multicast miso communication systems. IEEE Transactions on Signal Processing, PP(99). Search in Google Scholar

[7] Xie, Y., Zhang, H., Yao, G., Khan, S. A., Gao, M., & Su, Y., et al. (2017). Intelligent sensing system based on hybrid nanogenerator by harvesting multiple clean energy. Advanced Engineering Materials, 1700886. Search in Google Scholar

[8] Huang, D. S. (2019). Guest editorial for special section on the 13th international conference on intelligent computing (icic). Cognitive Systems Research, 53(JAN.), 1-2. Search in Google Scholar

[9] Liu, Z., Duan, X., Liao, M., & Zou, J. (2017). Simulation and test of electromagnetic interference with electronic current transformer. Gaodianya Jishu/High Voltage Engineering, 43(3), 994-999. Search in Google Scholar

[10] Gao, S., Song, Y., Chen, Y., Yu, Z., & Tan, Z. (2023). Shifted frequency-based electromagnetic transient simulation for ac power systems in symmetrical component domain. IET renewable power generation. Search in Google Scholar

[11] Zhang, H., Y.-C., S., Ren, H., Ma, B., Zhang, W., & Huang, Q., et al. (2022). 2d electromagnetic simulation for ground penetrating radar with a topographic ground surface by the curvilinear collocated-grid finite-difference method combined with equivalent field method. Journal of Applied Geophysics. Search in Google Scholar

[12] Shi, D., Wang, N., Zhang, F., & Fang, W. (2020). Intelligent electromagnetic compatibility diagnosis and management with collective knowledge graphs and machine learning. IEEE Transactions on Electromagnetic Compatibility, PP(99), 1-11. Search in Google Scholar

[13] Yao, S., Zhang, S., & Guo, W. (2019). Electromagnetic transient parallel simulation optimisation based on gpu. The Journal of Engineering, 2019. Search in Google Scholar

[14] Soham, C., & Ramanujam, R. (2018). New numerical integration methods for simulation of electromagnetic transients. International Journal of Emerging Electric Power Systems, 19. Search in Google Scholar

[15] Gregson, S. F., Parini, C. G., & Newell, A. C. (2018). Examination of the effectiveness of ff mars in a catr through electromagnetic simulation. IET Microwaves, Antennas & Propagation, 12(4), 542-548. Search in Google Scholar

[16] Blinne, A., Schinkel, D., Kuschel, S., Elkina, N., Rykovanov, S. G., & Zepf, M. (2017). A systematic approach to numerical dispersion in maxwell solvers. Computer Physics Communications. Search in Google Scholar

[17] Sturmberg, B. C. P., Dossou, K. B., Smith, M. J. A., Morrison, B., Poulton, C. G., & Steel, M. J. (2019). Finite element analysis of stimulated brillouin scattering in integrated photonic waveguides. Journal of Lightwave Technology, 37(15), 3791-3804. Search in Google Scholar

[18] Tekbas, K., & J.-P., B. (2023). Finite-difference time-domain (fdtd) method with non-homogeneous cells filled with voxels. Journal of Computational Physics, 489. Search in Google Scholar

[19] Abali, B. E. Q. A. F. (2019). Theory and computation of electromagnetic fields and thermomechanical structure interaction for systems undergoing large deformations. Journal of Computational Physics, 394. Search in Google Scholar

[20] Warren, CraigGiannopoulos, AntoniosGray, AlanGiannakis, IraklisPatterson, AlanWetter, LauraHamrah, Andre. (2019). A cuda-based gpu engine for gprmax: open source fdtd electromagnetic simulation software. Computer physics communications, 237. Search in Google Scholar

[21] Jeong, C., Myung, S., Huh, I., Choi, B., & Kim, D. S. (2021). Bridging tcad and ai: its application to semiconductor design. IEEE Transactions on Electron Devices, PP(99), 1-8. Search in Google Scholar