Liu Hongwei

Name: Hongwei Liu

Academic title: Professor

Research Area:

Geological Resources and Geological Engineering

Contact:

Email:liuhongwei29@outlook.com  

Phone:008613466324003

Research Interests:

HPC, FWI, RTM

Scholarly Activities

-Publications：

[1].Liu, H., Y. Luo, Y. Liu, and L. Fu, 2024, GEO-2023-0407, Fast computation of local dips using the one-lag correlation method: Geophysics, accepted.

[2].Liu, H., L. Fu, Q. Li, and Y. Liu, 2023, Compensating acquisition footprint for amplitude preserving angle domain common image gathers based on 3D reverse time migration: Remote Sensing, under review.

[3].Liu, H. and Y. Luo, 2022, An explicit method to calculate implicit spatial finite differences: Geophysics, 87, no. 2, T157–T168, doi: 10.1190/geo2021-0001.1.

[4].Liu H. and Y. Luo, 2021, An analytic signal-based accurate time-domain viscoacoustic wave equation from the constant-Qtheory: Geophysics, 86, no 3, T117-T126, doi: 10.1190/GEO2020-0154.1.

[5].Liu H., Y. Luo, and MN Al-Ali, 2020, Converted wave model building and imaging based on common focus point methodology: Geophysics, 85 (6), U139-U149, doi: 10.1190/GEO2019-0549.1.

[6].Liu H., Y. Luo, 2020, Making true amplitude angle domain common image gathers using invertible Radon transform, Communications in Computational Physics, 28, 128-140, doi: 10.4208/cicp.OA-2018-0074.

[7].Liu H., 2020, An optimal numerical solver for elastic wave simulation, Exploration Geophysics, 51 (5), 591~599, doi: 10.1080/08123985.2020.1757997.

[8].Liu H., and H. Zhang, 2019, Reducing computation cost by Lax-Wendroff methods with fourth-order temporal accuracy, Geophysics, 84, T109-T119, doi: 10.1190/geo2018-0196.1.

[9].Liu H., M. Ali and Y. Luo, 2019, Reverse time adjoint migration: Geophysics, 84, R401-R410, doi: 10.1190/GEO2018-0381.1.

[10].Liu H., and MN Al-Ali, 2018, Common-focus point-based target-oriented imaging approach for continuous seismic reservoir monitoring, Geophysics, 83, P. M41–M48, doi: 10.1190/GEO2017-0842.

[11].Liu H. and H. Liu, 2013, Wavefield reconstruction methods for reverse time migration: Comment on ‘Reverse time migration with source wavefield reconstruction strategy’: Journal of Geophysics and Engineering, 10, 028001, doi:10.1088/1742-2132/10/2/028001.

[12].Liu H., R. Ding, L. Liu and H. Liu, 2013, Wavefield reconstruction methods for reverse time migration: Journal of Geophysics and Engineering, 10(1), 015004, doi: 10.1088/1742-2132/10/1/015004.

[13].Liu H., B. Li, H. Liu, X. Tong, Q. Liu, 2012. The issues of pre-stack reverse time migration and solutions with GPU implementation. Geophysical Prospecting, 60, 906–918, doi: 10.1111/j.1365-2478.2011.01032.x.

[14].Liu H., B. Li, H. Liu, X. Tong, Q. Liu, 2012. A Fourier integral algorithm and its GPU/CPU collaborative implementation for one-way wave equation migration. Computers & Geosciences, 45, 139–148. doi: 10.1016/j.cageo.2011.10. 029.

[15].Liu H., H. Liu, B. Li, X. Wang, X. Tong and Q. Liu, 2011, Pre-stack reverse time migration for rugged topography and GPU accelerating technology: Chinese Journal of Geophysics, 54(7): 1883~1892, doi: 10.3969/j.issn.0001-5733.2011.07.022.

[16].Liu H., B. Li, H. Liu, X. Tong, Q. Liu, 2010, The algorithm of high order finite difference pre-stack reverse time migration and GPU implementation: Chinese Journal of Geophysics, 53(7): 1725~1733, doi: 10.1002/cjg2.1530. (Chen Zongqi Best paper award of Geophysics, 2012)

[17].Liu H, Z. Zou, H. Liu and Y. Cui, 2010, The problems of denoise and storage in seismic reverse time migration: Chinese Journal of Geophysics, 53(9), 2171-2180, doi: 10.3969/j.issn.0001-5733.2010.09.017

[18].Liu H., H. Liu, Y. Qin and H. Shou, 2008, Extrapolate well logs based on the constrained interpolation algorithm: Applied Geophysics, 5(4): 307~313, doi: doi.org/10.1007/s11770-008-0032-4.

[19].Liu H., 2024, Streamlining subsurface insights single extrapolation for holistic Green's function generation, Oral presentation at IMAGE 2024 - International Meeting for Applied Geoscience & Energy.

[20].Liu H. and Liyun Fu, 2023, Oral presentation: Broadband integral full waveform inversion of the human brain, 2023 International Congress on Ultrasonics in Beijing (the 2023 ICU BEIJING).

[21].Liu H. and Yi Luo, 2023, Invited speaker at CGU2023: High Performance Computing in seismic data simulation and imaging, 2023 annual meeting Chinese Geophysical Society, Zhuhai, China.

[22].Liu H., 2022, Broadband integral full waveform inversion (BIFWI) on medical imaging, 82nd EAGE Annual Conference & Exhibition, p.1~5, doi: 10.3997/2214-4609.202210585.

[23]Liu H. and Hussain Salim, 2022. An explicit solution suited for HPC to calculate the implicit FDs, Sixth EAGE High Performance Computing Workshop. Milan, Italy. Doi: https://doi.org/10.3997/2214-4609.2022615003.

[24].Liu H., 2021, Using a broadband wavelet for full waveform inversion on reflected seismic waves, 82nd EAGE Annual Conference & Exhibition, p.1~5, doi: 10.3997/2214-4609.202112586.

[25].Liu H., Tong Fei and Yi Luo, Using solid data to guide the first arrival picking and QC the inversion result, 2021, Near Surface Geoscience Conference & Exhibition, EAGE.

-Research Project：

[1].National Natural Science Foundation of China (No. 42374155).

[2].Major projects during the 14th Five-year Plan period under contract number 2021QNLM020001