Allen K P, Johnson M L, May J S. 1998. High fidelity vibratory seismic (HFVS) method for acquiring seismic data. //SEG Technical Program Expanded Abstracts 1998. New Orleans, Louisiana: SEG, 140-143, doi: 10.1190/1.1820171. Cited in this article [1]

Almaghlouth S. 2017. Seismic acquisition and imaging in Saudi Aramco: Challenges and opportunities. //22nd World Petroleum Congress. Istanbul, Turkey: WPC. Cited in this article [1]

An X Y, Zhai L X, Dong L Q, et al. 2025. A robust irregular seismic data reconstruction method. //Proceedings of the 7th Oil and Gas Geophysics Academic Annual Conference (in Chinese). Xi'an, 145-148, doi: 10.26914/c.cnkihy.2025.016747.

Baeten G J M. 2014-03-25. Method and system for performing seismic surveys with a low frequency sweep: US, 8681589B2. Cited in this article [1]

Bagaini C. 2007. Enhancing the low-frequency content of vibroseis data with maximum displacement sweeps. //69th EAGE Conference and Exhibition. London, UK: EAGE, doi: 10.3997/2214-4609.201401461.

Bagaini C. 2008. Seismic vibratory acquisition method and apparatus: US, 8797826B2. Cited in this article [1]

Bagaini C, Dean T, Quigley J, et al. 2008-02-05. Systems and methods for enhancing low-frequency content in vibroseis acquisition: US, 7327633B2.

Bagaini C. Acquisition and processing of simultaneous vibroseis data. Geophysical Prospecting, 2010, 58(1): 81- 100. https://doi.org/10.1111/j.1365-2478.2009.00842.x Cited in this article [1]

Bagaini C, Ji Y. 2010. Dithered slip-sweep acquisition. //SEG Technical Program Expanded Abstracts 2010. Denver, Colorado: SEG, 91-95, doi: 10.1190/1.3513927. Cited in this article [1]

Bai X M, Li H D, Chen J G, et al. Single controllable vibrator high-density acquisition technology and its application. China Petroleum Exploration, 2015, 20(6): 39- 43. https://doi.org/10.3969/j.issn.1672-7703.2015.06.005

Bouska J. Distance separated simultaneous sweeping, for fast, clean, vibroseis acquisition. Geophysical Prospecting, 2010, 58(1): 123- 153. https://doi.org/10.1111/j.1365-2478.2009.00843.x Cited in this article [2]

Cai M G, Ni Y D, Ma T, et al. Improving high-fidelity of seismic data based on deconvolution by force signals. Geophysical Prospecting for Petroleum, 2020, 59(5): 788- 794. 788-794, 822 https://doi.org/10.3969/j.issn.1000-1441.2020.05.012

Cao G B, Zhang J, Hu L X, et al. 2024-12-06. Harmonic suppression vibroseis scanning signal design method based on force signal (in Chinese): CN, 114966829B.

Cao H, Dai S H, Li J F, et al. Seismic exploration technology for tight oil and gas in China and its development direction. Acta Petrolei Sinica, 2025, 46(1): 236- 254. https://doi.org/10.7623/syxb202501016

Cao W X. 2010. To attenuate harmonic distortion by the force signal of vibrator. //SEG Technical Program Expanded Abstracts 2010. Denver, Colorado: SEG, 157-161, doi: 10.1190/1.3513142. Cited in this article [1]

Cao W X, Yan Z H, Zou X Y, et al. Harmonic interference suppressing by force signal of vibroseis. Geophysical Prospecting for Petroleum, 2011, 50(1): 89- 92. https://doi.org/10.3969/j.issn.1000-1441.2011.01.014

Castor K, Winter O, Bianchi T. 2017. Systems and methods for reducing noise in a seismic vibratory source: US, 9557429B2. Cited in this article [1]

Chai T, Han W G, Bi M B. A vibrator nonlinear sweeping signal design method and its application. Geophysical and Geochemical Exploration, 2018, 42(4): 753- 758. https://doi.org/10.11720/wtyht.2018.1217

Chen S C, Chen G X, Wang H C. The preliminary study on high efficient acquisition of geophysical data with sparsity constraints. Geophysical Prospecting for Petroleum, 2015, 54(1): 24- 35. https://doi.org/10.3969/j.issn.1000-1441.2015.01.004

Cheng S J, Cheng Z Y, Jiang C, et al. An effective self-supervised learning method for attenuating various types of seismic noise. Geophysics, 2024, 89(6): V589- V604. https://doi.org/10.1190/geo2023-0656.1

Cunningham A B. Some alternate vibrator signals. Geophysics, 1979, 44(12): 1901- 1921. https://doi.org/10.1190/1.1440947 Cited in this article [2]

Dean T. 2012a. An extra 10%-Improving the productivity of vibroseis surveys through advanced fleet management. //SEG Technical Program Expanded Abstracts 2012. Las Vegas, Nevada: SEG, 1-5, doi: 10.1190/segam2012-0220.1. Cited in this article [1]

Dean T. 2012b. Establishing the limits of vibrator performance-experiments with pseudorandom sweeps. //SEG Technical Program Expanded Abstracts 2012. Las Vegas, Nevada: SEG, 1-5, doi: 10.1190/segam2012-0221.1. Cited in this article [1]

Dean T. High productivity vibroseis techniques: a review. Preview, 2016, 2016(184): 36- 40. https://doi.org/10.1071/pvv2016n184p36 Cited in this article [3]

Denisov M S, Egorov A A, Shneerson M B. Optimization-based recursive filtering for separation of signal from harmonics in vibroseis. Geophysical Prospecting, 2021, 69(4): 779- 798. https://doi.org/10.1111/1365-2478.13084

Dong L Q, Wang C H, Li C F, et al. Blending noise removal utilizing an adaptive median filter. Progress in Geophysics, 2018, 33(4): 1475- 1479. https://doi.org/10.6038/pg2018BB0360

Dong L Q, Zhang M G, Zhou D T, et al. Blended noise suppression using an optimized complex curvelet transform approach. Progress in Geophysics, 2019a, 34(2): 517- 522. https://doi.org/10.6038/pg2019CC0304

Dong L Q, Wang Y, Huo Y, et al. Blending noise suppression based on median filter and seislet domain threshold denoising approach. Computing Techniques for Geophysical and Geochemical Exploration, 2019b, 41(6): 705- 711. https://doi.org/10.3969/j.issn.1001-1749.2019.06.01

Dong L Q, Wang Z, Liang X F, et al. 2020a. Multi-channel singular value spectrum constrained iterative inversion method for suppressing adjacent shot interference. //Proceedings of the 2020 China Geosciences Union Annual Conference (VⅢ) (in Chinese). Chongqing, 30-31, doi: 10.26914/c.cnkihy.2020.060946.

Dong L Q, Zhou H, Guo S L, et al. An optimized blending noise suppression based on seislet domain iterative threshold denoising approach. Geophysical and Geochemical Exploration, 2020b, 44(3): 568- 572. https://doi.org/10.11720/wtyht.2020.1097

Dong L Q, Zhang M G, Luo F, et al. Blended noise suppression based on SVD constrained iterative inversion. Oil Geophysical Prospecting, 2021, 56(1): 57- 61. 57-61, 117 https://doi.org/10.13810/j.cnki.issn.1000-7210.2021.01.006

Dong L Q, Zhang M G, Luo F, et al. Irregular data reconstruction approach based on S/N ratio quality-controlled optimized iterative inversion. Progress in Geophysics, 2022, 37(4): 1541- 1547. https://doi.org/10.6038/pg2022FF0429

Dong L Q, Zhou H, Sang Y Y, et al. Seismic data regularization and interpolation approach based on compressive sensing principle. Progress in Geophysics, 2025, 40(1): 276- 284. https://doi.org/10.6038/pg2025HH0428 Cited in this article [1]

Fleure T. 2002. Method of reducing interference while using overlapping source point seismic recording techniques: US, 6418079B1. Cited in this article [1]

Goupillaud P L. Signal design in the "vibroseis"Ⓡ technique. Geophysics, 1976, 41(6): 1291- 1304. https://doi.org/10.1190/1.1440680 Cited in this article [1]

Han W G, Qu Y M, Hu L X, et al. Method of suppressing harmonic noise based on reflection coefficient and ground force signal. Progress in Geophysics, 2015, 30(6): 2647- 2659. https://doi.org/10.6038/pg20150624

Howe D, Allen A J, Foster M S, et al. 2008a. Independent simultaneous sweeping. //70th EAGE Conference and Exhibition. Rome, Italy: EAGE, doi: 10.3997/2214-4609.20147588. Cited in this article [1]

Howe D, Foster M, Allen T, et al. 2008b. Independent simultaneous sweeping-a method to increase the productivity of land seismic crews. //SEG Technical Program Expanded Abstracts 2008. Las Vegas, Nevada: SEG, 2826-2830, doi: 10.1190/1.3063932. Cited in this article [1]

Howe D, Foster M, Alen T, et al. 2009. Independent simultaneous sweeping in Libya-full scale implementation and new developments. //SEG Technical Program Expanded Abstracts 2009. Houston, Texas: SEG, 109-111, doi: 10.1190/1.3255044.

Hu Y L J, Xu W W, Wang X K, et al. Adaptive dictionary identification framework and its application to sparsity-optimized harmonic noise separation. Geophysics, 2025, 90(2): V161- V177. https://doi.org/10.1190/geo2024-0259.1

Huang D Z, Han L G, Li H F, et al. Deblending of seismic data based on S-transform adaptive filtering iteration. Oil Geophysical Prospecting, 2020, 55(6): 1253- 1262. https://doi.org/10.13810/j.cnki.issn.1000-7210.2020.06.011

Huang M Z, Li P M, Wang Y J. Two-step suppressing method for neighboring-shot interference by using vibroseis independent simultaneous shooting data. Geophysical Prospecting for Petroleum, 2012, 51(5): 464- 468. 464-468, 485 https://doi.org/10.3969/j.issn.1000-1441.2012.05.007

Huang X G. Offshore seismic exploration based on compressive sensing. Geophysical Prospecting for Petroleum, 2019, 58(2): 162- 175. https://doi.org/10.3969/j.issn.1000-1441.2019.02.002

Jeong W, Tsingas C, Almubarak M S. Deblending and merging of 3D multi-sweep seismic blended data. Geophysical Prospecting, 2022, 70(2): 246- 261. https://doi.org/10.1111/1365-2478.13156

Laing W E. 1989. History and early development of the vibroseis system of seismic exploration: Vibroseis, Geophysics Reprint Series 11, SEG, 749-765. Cited in this article [1]

Lee Y W, Wiener B. Correlation functions and communication applications. Electronics, 1950, 23(6): 86- 92. Cited in this article [1]

Li B L, Wang Y C, Liu X Q, et al. Double-phase-shift filtering method for eliminating harmonic distortion in processing slip-sweep vibroseismic signals. Oil Geophysical Prospecting, 2021, 56(2): 265- 272. https://doi.org/10.13810/j.cnki.issn.1000-7210.2021.02.007

Li B L, Wang Y C, Yuan H, et al. Double-phase-shift filtering method for harmonic elimination based on AR2U-Net. Applied Geophysics, 2022, 19(2): 271- 283. https://doi.org/10.1007/s11770-022-0932-8

Li C B, Zhang Y. CSI: An efficient high-resolution seismic acquisition technology based on compressive sensing. Geophysical Prospecting for Petroleum, 2018, 57(4): 537- 542. https://doi.org/10.3969/j.issn.1000-1441.2018.04.006

Li F L, Liu C Z, Li Z C. 2010. Harmonic suppression in slip-sweep data based on convolution filtering. //Proceedings of the 26th Annual Meeting of the Chinese Geophysical Society (in Chinese). Ningbo, 479.

Li G L, Tian Y K, Yin W H, et al. Low-frequency vibroseis with high density wide line seismic acquisition technology research and application in Xizang Plateau: a case study of low-frequency vibroseis. Progress in Geophysics, 2019, 34(1): 113- 118. https://doi.org/10.6038/pg2019BB0044

Li H Q. 2013-04-24. Method for suppressing harmonic interference in seismic data of controlled source by filtering (in Chinese): CN, 102262243B.

Li H Y, Wang J F, Xiao H, et al. 2019. Discussion on pseudorandom sweep technology of vibroseis. //Proceedings of the Geophysical Exploration Technology Symposium of the Chinese Petroleum Society (in Chinese). Chengdu.

Li J, Trad D, Liu D W. Robust seismic data denoising via self-supervised deep learning. Geophysics, 2024, 89(5): V437- V451. https://doi.org/10.1190/geo2023-0762.1

Li X P, Soellner W, Hubral P. 1995. Elimination of harmonic distortion in vibroseis data. Geophysics, 60(2): 503-516, doi: 0.1190/1.1443787. Cited in this article [1]

Li Z C, Qu Y M, Han W G, et al. Generation mechanism and characteristics of two kinds of harmonic waves for vibroseis. Geophysical Prospecting for Petroleum, 2016, 55(2): 159- 172. https://doi.org/10.3969/j.issn.1000-1441.2016.02.001

Liu D W, Li X F, Wang W, et al. Eliminating harmonic noise in vibroseis data through sparsity-promoted waveform modeling. Geophysics, 2022, 87(3): V183- V191. https://doi.org/10.1190/geo2021-0448.1

Liu G C, Li C, Guo Z F, et al. Irregularly sampled seismic data reconstruction using multiscale multidirectional adaptive prediction-error filter. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(5): 2909- 2919. https://doi.org/10.1109/tgrs.2018.2878402 Cited in this article [1]

Liu H J, Jiang L, Zhang Z H, et al. Method for harmonic noise suppression of slip scan data based on energy difference. Xinjiang Petroleum Geology, 2015, 36(1): 98- 101. https://doi.org/10.7657/XJPG20150120

Liu Y, Nie M T, Qi Y F. 2024-12-17. Vibroseis sliding time interval determination method and device, equipment and storage medium (in Chinese): CN, 116500684B.

Lu G N, Sun X Y, Sun M, et al. High efficiency acquisition technology for synchronous scanning of vibroseis up/down frequency and its application effect. Technology Supervision in Petroleum Industry, 2022, 38(10): 20- 23. https://doi.org/10.20029/j.issn.1004-1346.2022.10.005 Cited in this article [1]

Lu J T, Zhang Q H, Meng X S, et al. Application and quality control of an improved dynamic slip sweep technique. Geophysical Prospecting for Petroleum, 2022, 61(4): 591- 598. 591-598, 693 https://doi.org/10.3969/j.issn.1000-1441.2022.04.002

Luiken N, Ravasi M, Birnie C. Integrating self-supervised denoising in inversion-based seismic deblending. Geophysics, 2024, 89(1): WA39- WA51. https://doi.org/10.1190/geo2023-0131.1

Luo F, Shi S H, Deng Z W, et al. Implementation and application of vibroseis acquisition using frequency-separated simultaneous sweep technology. Geophysical Prospecting for Petroleum, 2018, 57(1): 28- 32. https://doi.org/10.3969/j.issn.1000-1441.2018.01.003

Luo F, Zhang M G, Wang C H, et al. 2021-07-16. Scanning signal correction method and device (in Chinese): CN, 113127799A.

Luo F, Liang X F, Zhang M G, et al. 2023a-04-25. Method and device for generating seismic acquisition and observation system based on compressed sensing (in Chinese): CN, 111474574B.

Luo F, Zhang M G, Guo S L, et al. 2023b-11-28. Scanning signal automatic correction method and device based on force signal feedback (in Chinese): CN, 113138417B.

Luo Y, Liu H J, Mao H B, et al. Harmonic noise suppression in the time-frequency domain via sparse optimization and application to high-density seismic exploration in Junggar Basin, China. Geophysical Prospecting for Petroleum, 2018, 57(1): 79- 85. https://doi.org/10.3969/j.issn.1000-1441.2018.01.011

Ma J W. Compressive sensing in geophysical exploration. Geophysical Prospecting for Petroleum, 2018, 57(1): 24- 27. https://doi.org/10.3969/j.issn.1000-1441.2018.01.002

Ma T, Wang Y C, Liu X G, et al. Application of deconvolution method with ground force in vibroseis raw shots calculation. Progress in Geophysics, 2020, 35(4): 1438- 1444. https://doi.org/10.6038/pg2020EE0175

Ma T R, Wang G D, Liu J Z, et al. The application of pseudo-random sweeps application in vibrator seismic technology. Equipment for Geophysical Prospecting, 2016, 26(5): 319- 323.

Ma Y S, Zhang J N, Zhao P R, et al. Requirement analysis and research direction for the geophysical prospecting technology of SINOPEC. Geophysical Prospecting for Petroleum, 2016, 55(1): 1- 9. https://doi.org/10.3969/j.issn.1000-1441.2016.01.001

Mao H B, Ma J Y, Wang X T, et al. Harmonic noise suppression of vibroseis data based on adaptive dictionary learning. Geophysical Prospecting for Petroleum, 2020, 59(5): 725- 735. https://doi.org/10.3969/j.issn.1000-1441.2020.05.006

Martin F D, Munoz P A. 2010. Deharmonics, a method for harmonic noise removal on vibroseis data. //EAGE workshop on Developments in Land Seismic Acquisition for Exploration. Cairo, Egypt: EAGE, doi: 10.3997/2214-4609-pdb.159.b08_p.a._munoz_ppt. Cited in this article [1]

Men Z, Ning H X, Li W B, et al. 2024-09-27. Seismic exploration method and device based on compressed sensing (in Chinese): CN, 112859161B.

Meunier J, Bianchi T. 2003-08-05. Method of reducing harmonic noise in vibroseis operations: US, 6603707B1. Cited in this article [1]

Moerig R. 2007-08-21. Method of harmonic noise attenuation in correlated sweep data: US, 7260021B1. Cited in this article [1]

Nasreddin H, Dean T, Iranpour K. 2012. The use of pseudorandom sweeps to reduce interference noise in simultaneous Vibroseis surveys. //ASEG Extended Abstracts. ASEG, 1-4, doi: 10.1071/ASEG2012ab256. Cited in this article [1]

Ni Y D, Wang J F, Ma T, et al. Advances in vibroseis acquisition. Oil Geophysical Prospecting, 2011, 46(3): 349- 356. https://doi.org/10.13810/j.cnki.issn.1000-7210.2011.03.020

Nie M T. Application of UNIVIB vibroseis in complex urban exploration. Equipment for Geophysical Prospecting, 2017, 27(6): 360- 363. 360-363, 368

Nie M T, Wei T, Qi Y F, et al. Research and application of TD rule in vibroseis high efficiency acquisition. Technology Supervision in Petroleum Industry, 2020, 36(8): 1- 5. https://doi.org/10.3969/j.issn.1004-1346.2020.08.002

Nie M T, Ye P P, Guo S L, et al. 2025-05-30. Ground surface area point location optimization layout method and device based on compressed sensing (in Chinese): CN, 120068348A.

Nie M T, Wei Z H, Qi Y F, et al. Improvements in vibroseis source technology towards low frequencies. Applied Geophysics, 2026a, 23(1): 285- 296. https://doi.org/10.1007/s11770-025-1353-2 Cited in this article [1]

Nie M T, Wei Z H, Fang T, et al. A novel method for low-frequency quality control of seismic vibrator ground force. Journal of Seismic Exploration, 2026b, 35(1): 171- 183. https://doi.org/10.36922/jse025410086 Cited in this article [1]

Ning H X, Tang D L, Pi H M, et al. The technology and development of "WBH" seismic exploration in land, China. Geophysical Prospecting for Petroleum, 2019, 58(5): 645- 653. https://doi.org/10.3969/j.issn.1000-1441.2019.05.002

Ollivrin G, Tellier N. 2019. SmartLF for robust and straightforward reduction of low-frequency distortion. //SEG Technical Program Expanded Abstracts 2019. San Antonio, Texas: SEG, 17-21, doi: 10.1190/segam2019-3214978.1. Cited in this article [3]

Phillips, Wei Z, Chen R. 2016. Methods of seismic vibratory limits control at low frequencies: US, 9488742B2. Cited in this article [1]

Postel J J, Meunier J, Bianchi T, et al. V1: implementation and application of single-vibrator acquisition. The Leading Edge, 2008, 27(5): 604- 608. https://doi.org/10.1190/1.2919577 Cited in this article [1]

Qiu Q L, Cao N W, Bai Y. Optimization of vibroseis excitation parameters and its application effect. Geophysical and Geochemical Exploration, 2021, 45(3): 686- 691. https://doi.org/10.11720/wtyht.2021.1395

Qu Y M, Li Z C, Han W G, et al. The elimination technology for special interference in vibroseis efficient acquisition data. Geophysical Prospecting for Petroleum, 2016, 55(3): 395- 407. https://doi.org/10.3969/j.issn.1000-1441.2016.03.010

Rozemond H J. 1996. Slip-sweep acquisition. //SEG Technical Program Expanded Abstracts 1996. Denver, Colorado: SEG, 64-67. Cited in this article [1]

Sallas J J. Seismic vibrator control and the downgoing P-wave. Geophysics, 1984, 49(6): 732- 740. https://doi.org/10.1190/1.1441701 Cited in this article [1]

Sallas J J, Corrigan D, Allen K P. 1998-02-24. High fidelity vibratory source seismic method with source separation: US, 5721710. Cited in this article [1]

Sallas J J, Gibson J B, Lin F, et al. 2008. Broadband Vibroseis using simultaneous pseudorandom sweeps. //SEG Technical Program Expanded Abstracts 2008. Las Vegas, Nevada: SEG, 100-104, doi: 10.1190/1.3054767. Cited in this article [1]

Shang X M, Wang Y G, Wang S G, et al. Comparison of two different high-density seismic technologies in Junggar basin. Progress in Geophysics, 2022, 37(4): 1585- 1592. https://doi.org/10.6038/pg2022FF0055

Shang Y S, Liang X F, Zhang M G, et al. 2015-04-29. Sliding scanning harmonic suppression method based on sparse inversion (in Chinese): CN, 102798894B.

Song J W, Li P M, Wang W C, et al. High-productivity blended acquired data separation by sparse inversion. Oil Geophysical Prospecting, 2019, 54(2): 268- 273. https://doi.org/10.13810/j.cnki.issn.1000-7210.2019.02.004

Stefani J, Hampson G, Herkenhoff E F. 2007. Acquisition using simultaneous sources. //69th EAGE Conference and Exhibition. London, UK: EAGE. Cited in this article [1]

Su H, Qiao J, Zhang Z N, et al. Wide-angle reflection acquisition technology for ultradeep reservoirs based on large-scale low-frequency vibroseis. Geophysical and Geochemical Exploration, 2023, 47(2): 377- 383. https://doi.org/10.11720/wtyht.2023.1110

Su S L, Zou Q W, Zheng G J, et al. 2019. Application of EV56 vibroseis in complex areas of eastern China. //Proceedings of the 2019 Oil and Gas Geophysics Academic Annual Conference (in Chinese). Nanjing, 145-148, doi: 10.26914/c.cnkihy.2019.022887. Cited in this article [1]

Sun Y, Mubarak M, Marzooq H. 2024. An effective harmonics decomposition method for Vibroseis ground-force signals. //85th EAGE Annual Conference & Exhibition. Oslo, Norway: European Association of Geoscientists & Engineers, 1-5, doi: 10.3997/2214-4609.202410004.

Sun Y M, Almubarak M S, Marzooq H. Separating harmonics in the ground-force signal of a seismic vibratory source. Geophysics, 2024, 89(5): A29- A34. https://doi.org/10.1190/geo2024-0070.1

Tao Z F, Zhao Y L, Ma L. Low frequency seismic and low frequency vibrator. Equipment for Geophysical Prospecting, 2011, 21(2): 71- 76. https://doi.org/10.3969/j.issn.1671-0657.2011.02.001

Tao Z F, Liu Z G, Wang J F, et al. 2015-08-19. Method determining controllable vibration source best low-frequency scanning signal (in Chinese): CN, 103323876B.

Tao Z F, Luo F, Ma L, et al. LFV3-low frequency vibrator. Petroleum Science and Technology Forum, 2016, 35(S1): 9- 238. 9-12, 237-238 Cited in this article [1]

Tao Z F. New-generation high-precision vibrator EV-56 successfully rolled off production line. Natural Gas Industry, 2017, 37(6): 92.

Tao Z F. High-precision vibroseis to meet demands and challenges of current geophysical prospecting. Natural Gas Exploration and Development, 2018, 41(3): 1- 6. https://doi.org/10.12055/gaskk.issn.1673-3177.2018.03.001

Tao Z F. Broadband high-precision vibroseis sets a model of innovation and excellence. Oil Geophysical Prospecting, 2022, 57(3): 746.

Tian X Q, Zhou T, Wang Z M, et al. Method of eliminating harmonic noise for vibroseis data in slip sweep technique. Geophysical Prospecting for Petroleum, 2011, 50(6): 565- 574. https://doi.org/10.3969/j.issn.1000-1441.2011.06.005

Tong S Y, Liu G, Xu X G, et al. Ocean bottom seismic based on generation of countermeasure network of Unet structure data aliasing noise suppression method. Periodical of Ocean University of China, 2024, 54(8): 123- 131. https://doi.org/10.16441/j.cnki.hdxb.20230136

Tong X Q, Lin J, Jiang T, et al. Summary of development of land vibrator. Progress in Geophysics, 2012, 27(5): 1912- 1921. https://doi.org/10.6038/j.issn.1004-2903.2012.05.011

Wang B B, Li H Q, Zhao B, et al. Harmonic noise removal on vibroseis slip-sweep data. Oil Geophysical Prospecting, 2013, 48(1): 37- 41. https://doi.org/10.13810/j.cnki.issn.1000-7210.2013.01.006

Wang B F, Li J K, Han D. Iterative deblending using MultiResUNet with multilevel blending noise for training and transfer learning. Geophysics, 2022, 87(3): V205- V214. https://doi.org/10.1190/geo2021-0341.1

Wang H B, Zhang W, Zhang H, et al. Deep seismic reflection acquisition with high-precision vibroseis. Progress in Geophysics, 2019, 34(5): 1910- 1916. https://doi.org/10.6038/pg2019DD0314

Wang H Z, Feng B, Wang X W, et al. Compressed sensing and its application in seismic exploration. Geophysical Prospecting for Petroleum, 2016, 55(4): 467- 474. https://doi.org/10.3969/j.issn.1000-1441.2016.04.001

Wang R Z, Bai X M, Wang J K, et al. Seismic exploration methods for igneous rock-overlain regions in the Chaokewula Sag. Geophysical Prospecting for Petroleum, 2020, 59(3): 382- 395. https://doi.org/10.3969/j.issn.1000-1441.2020.03.007

Wang Y L, Dong L Q, An X Y, et al. 2024. Case study analysis of seismic data reconstruction technology based on compressive sensing. //Proceedings of the 2nd China Petroleum Geophysics Academic Annual Conference (Volume Ⅰ) (in Chinese). Wuhan, 82-85, doi: 10.26914/c.cnkihy.2024.001569.

Wei T, Zhang M G, Wang C H, et al. High-productivity vibroseis techniques and their application in international seismic projects. Oil Forum, 2012, 31(2): 7- 10. 7-10, 74 https://doi.org/10.3969/j.issn.1002-302x.2012.02.002

Wei T, Wang W, Zhu Y, et al. 2024a. Research and application of low-frequency excitation technology with conventional vibroseis in Niger exploration area. //Proceedings of the 2nd China Petroleum Geophysics Academic Annual Conference (Volume Ⅰ) (in Chinese). Wuhan, 327-329, doi: 10.26914/c.cnkihy.2024.001632. Cited in this article [1]

Wei T, Zhu Y, Li P M, et al. Vibroseis frequency blending simultaneous sweep method. Oil Geophysical Prospecting, 2024b, 59(5): 948- 956. https://doi.org/10.13810/j.cnki.issn.1000-7210.2024.05.003

Wei T, Zhu Y, Liu Z G, et al. 2024. Design of low frequency sweep signals for conventional vibrators. //Fourth International Meeting for Applied Geoscience & Energy. Houston, Texas: SEG, 282-286, doi: 0.1190/image2024-4090586.1. Cited in this article [8]

Wei Y J, Zhang P, Xu Z. Separation of 3D blending seismic data based on sparse constrained inversion. Chinese Journal of Geophysics, 2019, 62(10): 4000- 4009. https://doi.org/10.6038/cjg2019M0501

Wei Y J, Zhu Y J, Cao J J, et al. Research on simultaneous-source data deblending based on improved U-Net. Progress in Geophysics, 2025, 40(4): 1428- 1439. https://doi.org/10.6038/pg2025Ⅱ0555

Wei Z H, Phillips T F. On the generation of low frequencies with modern seismic vibrators. Geophysics, 2013, 78(2): WA91- WA97. https://doi.org/10.1190/geo2012-0342.1 Cited in this article [1]

Wei Z H, Ma H W, Pan Y Z. Low frequencies HDR (Harmonic Distortion Reduction) technology of seismic vibrators. Equipment for Geophysical Prospecting, 2015, 25(5): 293- 296. 293-296, 305 https://doi.org/10.3969/j.issn.1671-0657.2015.05.004 Cited in this article [3]

Wen R, Liu G C, Ran Y. Three key factors in seismic data reconstruction based on compressive sensing. Oil Geophysical Prospecting, 2018, 53(4): 682- 693. https://doi.org/10.13810/j.cnki.issn.1000-7210.2018.04.004

Xu L L, Zhang J, Zhao G Y. Design technology of nonlinear sweep signal of vibroseis based on damped Ricker wavelet. Oil Geophysical Prospecting, 2022, 57(3): 540- 549.

Yu F W, Zhang J, Hu L X, et al. 2015-12-23. Design method for frequency domain low frequency compensation scanning signal (in Chinese): CN, 105182405A.

Yu F W, Di Z X. Suppressing of inter-record harmonic-noise in vibroseis simultaneous shooting acquistion. Progress in Geophysics, 2018, 33(1): 292- 296. https://doi.org/10.6038/pg2018BB0013

Zhan C Q, Wei T, Wang G D, et al. How SmartLF works and applications. Equipment for Geophysical Prospecting, 2020, 30(3): 206- 210.

Zhang C J, Hu J X, Wei Y J, et al. Study of simultaneous source data deblending based on improved DnCNN. Journal of Hebei GEO University, 2022, 45(6): 41- 48. https://doi.org/10.13937/j.cnki.hbdzdxxb.2022.06.006

Zhang J, Hu L X, Zhao G Y, et al. 2020-12-22. Low-distortion wideband scanning signal design method (in Chinese): CN, 109782335B.

Zhang L L, Xia J J, Li X M, et al. Quantitative optimization design of vibroseis dynamic sweep time-distance rule and its application. Geophysical Prospecting for Petroleum, 2024, 63(3): 535- 547. https://doi.org/10.12431/issn.1000-1441.2024.63.03.002

Zhang M G, Luo F, Wang C H, et al. Industrialization progress of Wide-azimuth, Broadband, and High-density (WBH) seismic acquisition technique. Natural Gas Industry, 2017, 37(11): 1- 8. https://doi.org/10.3787/j.issn.1000-0976.2017.11.001

Zhang M G, Luo F, Wei G W, et al. Planning and integration of acquisition technologies for ultralarge seismic exploration project, the United Arab Emirates. Natural Gas Exploration and Development, 2019, 42(2): 66- 75. https://doi.org/10.12055/gaskk.issn.1673-3177.2019.02.008

Zhang M G, Zhu Y, Dong L Q, et al. Ultra-high productivity acquisition technology and its application. Progress in Geophysics, 2021, 36(3): 1176- 1186. https://doi.org/10.6038/pg2021EE0147 Cited in this article [2]

Zhou J Z, Zhang J H, Niu Q B, et al. The key technique application research on low frequency vibrator "two-wide and one-high" seismic data processing in Jiandingshan area of Qaidam Basin. Geophysical and Geochemical Exploration, 2020, 44(2): 313- 320. https://doi.org/10.11720/wtyht.2020.1280

Zhou S. Slip sweep time-distance curve acquisition design and application by vibroseis. Reservoir Evaluation and Development, 2017, 7(5): 54- 57. 54-57, 84 https://doi.org/10.3969/j.issn.2095-1426.2017.05.011

Zhou S, Lü Y, Lü G H, et al. Irregular seismic geometry design and data reconstruction based on compressive sensing. Geophysical Prospecting for Petroleum, 2017, 56(5): 617- 625. https://doi.org/10.3969/j.issn.1000-1441.2017.05.001

Zhou S, Huo S D, Hu L X, et al. Denoising for seismic data from vibroseis independent simultaneous sweeping. Geophysical Prospecting for Petroleum, 2018, 57(5): 691- 696. https://doi.org/10.3969/j.issn.1000-1441.2018.05.008

Zhu L H. Deblending simultaneous-source seismic data using sparse inversion. Geophysical Prospecting for Petroleum, 2018, 57(2): 208- 212. https://doi.org/10.3969/j.issn.1000-1441.2018.02.005

安学勇, 翟立新, 董烈乾, 等. 2025. 一种鲁棒型非规则地震数据重构方法. //第七届油气地球物理学术年会论文集. 西安, 145-148, doi: 10.26914/c.cnkihy.2025.016747. Cited in this article [1]

白 旭明, 李 海东, 陈 敬国, 等. 可控震源单台高密度采集技术及应用效果. 中国石油勘探, 2015, 20(6): 39- 43. https://doi.org/10.3969/j.issn.1672-7703.2015.06.005 Cited in this article [1]

蔡 敏贵, 倪 宇东, 马 涛, 等. 力信号反褶积运算对于提高地震资料保真度的研究分析. 石油物探, 2020, 59(5): 788- 794. 788-794, 822 https://doi.org/10.3969/j.issn.1000-1441.2020.05.012

曹国滨, 张剑, 胡立新, 等. 2024-12-06. 基于力信号的谐波压制可控震源扫描信号设计方法: 中国, 114966829B. Cited in this article [1]

曹 宏, 代 双和, 李 金付, 等. 中国致密油气地震勘探技术及其发展方向. 石油学报, 2025, 46(1): 236- 254. https://doi.org/10.7623/syxb202501016 Cited in this article [1]

曹 务祥, 闫 智慧, 邹 小燕, 等. 利用可控震源的力信号压制谐波干扰. 石油物探, 2011, 50(1): 89- 92. https://doi.org/10.3969/j.issn.1000-1441.2011.01.014 Cited in this article [1]

柴 童, 韩 文功, 毕 明波. 一种可控震源非线性扫描信号设计方法及应用. 物探与化探, 2018, 42(4): 753- 758. https://doi.org/10.11720/wtyht2018.1217 Cited in this article [1]

陈 生昌, 陈 国新, 王 汉闯. 稀疏性约束的地球物理数据高效采集方法初步研究. 石油物探, 2015, 54(1): 24- 35. https://doi.org/10.3969/j.issn.1000-1441.2015.01.004 Cited in this article [1]

董 烈乾, 汪 长辉, 李 长芬, 等. 利用自适应中值滤波方法压制混叠噪声. 地球物理学进展, 2018, 33(4): 1475- 1479. https://doi.org/10.6038/pg2018BB0360

董 烈乾, 张 慕刚, 周 大同, 等. 一种优化的复曲波变换压制混叠噪声方法. 地球物理学进展, 2019a, 34(2): 517- 522. https://doi.org/10.6038/pg2019CC0304

董 烈乾, 王 岩, 霍 禹, 等. 基于中值滤波和seislet阈值法联合压制混叠噪声方法. 物探化探计算技术, 2019b, 41(6): 705- 711. https://doi.org/10.3969/j.issn.1001-1749.2019.06.01

董烈乾, 王泽, 梁晓峰, 等. 2020a. 多道奇异值谱约束迭代反演压制邻炮干扰方法. //2020年中国地球科学联合学术年会论文集(八)—专题二十二: 地震波衰减与深部成像、专题二十三: 地震灾害防治与应急管理、专题二十四: 区域地震构造与地震地质灾害. 重庆, 30-31, doi: 10.26914/c.cnkihy.2020.060946.

董 烈乾, 周 恒, 郭 善力, 等. 一种改进型seislet域迭代阈值压制混叠噪声方法. 物探与化探, 2020b, 44(3): 568- 572. https://doi.org/10.11720/wtyht.2020.1097

董 烈乾, 张 慕刚, 骆 飞, 等. 应用SVD约束的迭代反演混叠噪声压制方法. 石油地球物理勘探, 2021, 56(1): 57- 61. 57-61, 117 https://doi.org/10.13810/j.cnki.issn.1000-7210.2021.01.006 Cited in this article [1]

董 烈乾, 张 慕刚, 骆 飞, 等. 基于信噪比质控的优化迭代反演非规则数据重构方法. 地球物理学进展, 2022, 37(4): 1541- 1547. https://doi.org/10.6038/pg2022FF0429 Cited in this article [1]

董 烈乾, 周 恒, 桑 运云, 等. 基于压缩感知的地震数据同时规则化和插值方法. 地球物理学进展, 2025, 40(1): 276- 284. https://doi.org/10.6038/Pg2025HH0428 Cited in this article [2]

韩 文功, 曲 英铭, 胡 立新, 等. 基于反射系数和地面力信号的谐波干扰消除法. 地球物理学进展, 2015, 30(6): 2647- 2659. https://doi.org/10.6038/pg20150624

黄 德智, 韩 立国, 李 辉峰, 等. 基于S变换自适应滤波迭代的多源地震数据分离. 石油地球物理勘探, 2020, 55(6): 1253- 1262. https://doi.org/10.13810/j.cnki.issn.1000-7210.2020.06.011

黄 明忠, 李 培明, 王 彦娟. 独立同步激发数据两步法邻炮干扰压制技术研究. 石油物探, 2012, 51(5): 464- 468. 464-468, 485 https://doi.org/10.3969/j.issn.1000-1441.2012.05.007

黄 小刚. 浅谈海上压缩感知地震勘探. 石油物探, 2019, 58(2): 162- 175. https://doi.org/10.3969/j.issn.1000-1441.2019.02.002 Cited in this article [1]

李 波霖, 王 彦春, 刘 学清, 等. 双相移滑动扫描谐波压制方法. 石油地球物理勘探, 2021, 56(2): 265- 272. https://doi.org/10.13810/j.cnki.issn.1000-7210.2021.02.007

李 成博, 张 宇. CSI: 基于压缩感知的高精度高效率地震资料采集技术. 石油物探, 2018, 57(4): 537- 542. https://doi.org/10.3969/j.issn.1000-1441.2018.04.006 Cited in this article [1]

李凤磊, 刘成斋, 李振春. 2010. 基于褶积滤波的滑动扫描谐波压制. //中国地球物理2010——中国地球物理学会第二十六届年会、中国地震学会第十三次学术大会论文集. 宁波, 479. Cited in this article [1]

李 桂林, 田 玉昆, 尹 吴海, 等. 西藏高原地区低频可控震源高密度宽线地震采集技术攻关与应用——以尼玛盆地低频可控震源采集为例. 地球物理学进展, 2019, 34(1): 113- 118. https://doi.org/10.6038/pg2019BB0044 Cited in this article [1]

李合群. 2013-04-24. 一种滤波法可控震源地震数据谐波干扰压制方法: 中国, 102262243B. Cited in this article [1]

李红远, 王井富, 肖虎, 等. 2019. 可控震源伪随机扫描技术探讨. //中国石油学会2019年物探技术研讨会论文集. 成都. Cited in this article [1]

李 庆忠. 走向精确勘探的道路——高分辨率地震勘探系统工程剖析. 北京: 石油工业出版社, 1993 Cited in this article [1]

李 振春, 曲 英铭, 韩 文功, 等. 可控震源两种谐波产生机理与特征研究. 石油物探, 2016, 55(2): 159- 172. https://doi.org/10.3969/j.issn.1000-1441.2016.02.001 Cited in this article [1]

刘 宏杰, 蒋 立, 张 仲祜, 等. 基于能量差异的滑动扫描数据谐波压制方法. 新疆石油地质, 2015, 36(1): 98- 101. https://doi.org/10.7657/XJPG20150120 Cited in this article [1]

刘洋, 聂明涛, 齐永飞. 2024-12-17. 可控震源滑动时间间隔确定方法、装置、设备和存储介质: 中国, 116500684B. Cited in this article [1]

卢 光年, 孙 晓英, 孙 梦, 等. 可控震源升降频同步扫描高效采集技术及其应用效果. 石油工业技术监督, 2022, 38(10): 20- 23. https://doi.org/10.20029/j.issn.1004-1346.2022.10.005 Cited in this article [1]

路 交通, 张 庆淮, 孟 祥顺, 等. 一种改进的动态滑动扫描和质控方法及应用效果. 石油物探, 2022, 61(4): 591- 598. 591-598, 693 https://doi.org/10.3969/j.issn.1000-1441.2022.04.002 Cited in this article [2]

骆 飞, 石 双虎, 邓 志文, 等. 可控震源分频同时扫描采集方法实现与应用. 石油物探, 2018, 57(1): 28- 32. https://doi.org/10.3969/j.issn.1000-1441.2018.01.003 Cited in this article [1]

骆飞, 张慕刚, 汪长辉, 等. 2021-07-16. 一种扫描信号校正方法及装置: 中国, 113127799A. Cited in this article [1]

骆飞, 梁晓峰, 张慕刚, 等. 2023a-04-25. 基于压缩感知的地震采集观测系统的生成方法及装置: 中国, 111474574B. Cited in this article [1]

骆飞, 张慕刚, 郭善力, 等. 2023b-11-28. 一种基于力信号反馈的扫描信号自动校正方法及装置: 中国, 113138417B. Cited in this article [1]

罗 勇, 刘 宏杰, 毛 海波, 等. 时频域稀疏优化谐波噪声压制方法及其在准噶尔盆地高密度地震勘探中的应用. 石油物探, 2018, 57(1): 79- 85. https://doi.org/10.3969/j.issn.1000-1441.2018.01.011

马 坚伟. 压缩感知走进地球物理勘探. 石油物探, 2018, 57(1): 24- 27. https://doi.org/10.3969/j.issn.1000-1441.2018.01.002 Cited in this article [1]

马 涛, 王 彦春, 柳 兴刚, 等. 力信号反褶积方法在可控震源单炮资料提取中的应用. 地球物理学进展, 2020, 35(4): 1438- 1444. https://doi.org/10.6038/pg2020EE0175

马 铁荣, 王 光德, 刘 金中, 等. 伪随机扫描在可控震源上的应用探讨. 物探装备, 2016, 26(5): 319- 323. Cited in this article [1]

马 永生, 张 建宁, 赵 培荣, 等. 物探技术需求分析及攻关方向思考——以中国石化油气勘探为例. 石油物探, 2016, 55(1): 1- 9. https://doi.org/10.3969/j.issn.1000-1441.2016.01.001 Cited in this article [1]

毛 海波, 马 俊彦, 王 晓涛, 等. 基于自适应字典学习的可控震源数据谐波噪声压制方法. 石油物探, 2020, 59(5): 725- 735. https://doi.org/10.3969/j.issn.1000-1441.2020.05.006

门哲, 宁宏晓, 李伟波, 等. 2024-09-27. 基于压缩感知的地震勘探方法及装置: 中国, 112859161B. Cited in this article [1]

倪 宇东, 王 井富, 马 涛, 等. 可控震源地震采集技术的进展. 石油地球物理勘探, 2011, 46(3): 349- 356. https://doi.org/10.13810/j.cnki.issn.1000-7210.2011.03.020 Cited in this article [2]

聂 明涛. UNIVIB可控震源在复杂城区勘探中的应用. 物探装备, 2017, 27(6): 360- 363. 360-363, 368

聂 明涛, 魏 铁, 齐 永飞, 等. 可控震源高效采集中TD规则的研究与应用. 石油工业技术监督, 2020, 36(8): 1- 5. https://doi.org/10.3969/j.issn.1004-1346.2020.08.002 Cited in this article [1]

聂明涛, 叶朋朋, 郭善力, 等. 2025-05-30. 基于压缩感知的地表区点位优化布设方法及装置: 中国, 120068348A. Cited in this article [1]

宁 宏晓, 唐 东磊, 皮 红梅, 等. 国内陆上"两宽一高"地震勘探技术及发展. 石油物探, 2019, 58(5): 645- 653. https://doi.org/10.3969/j.issn.1000-1441.2019.05.002 Cited in this article [1]

邱 庆良, 曹 乃文, 白 烨. 可控震源激发参数优选及应用效果. 物探与化探, 2021, 45(3): 686- 691. https://doi.org/10.11720/wyht.2021.1395 Cited in this article [1]

曲 英铭, 李 振春, 韩 文功, 等. 可控震源高效采集数据特征干扰压制技术. 石油物探, 2016, 55(3): 395- 407. https://doi.org/10.3969/j.issn.1000-1441.2016.03.010

尚 新民, 王 延光, 王 胜阁, 等. 准噶尔盆地两种不同高密度地震方法对比. 地球物理学进展, 2022, 37(4): 1585- 1592. https://doi.org/10.6038/pg2022FF0055 Cited in this article [1]

尚永生, 梁晓峰, 张慕刚, 等. 2015-04-29. 一种基于稀疏反演的滑动扫描谐波压制方法: 中国, 102798894B. Cited in this article [1]

宋 家文, 李 培明, 王 文闯, 等. 基于稀疏反演的高效混采数据分离方法. 石油地球物理勘探, 2019, 54(2): 268- 273. https://doi.org/10.13810/j.cnki.issn.1000-7210.2019.02.004 Cited in this article [2]

苏 海, 乔 金, 张 忠楠, 等. 基于大型低频可控震源的超深储层广角反射采集技术. 物探与化探, 2023, 47(2): 377- 383. https://doi.org/10.11720/wtyht.2023.1110 Cited in this article [1]

苏世龙, 邹启伟, 郑桂娟, 等. 2019. EV56型可控震源在东部复杂区的应用. //2019年油气地球物理学术年会论文集. 南京, 145-148, doi: 10.26914/c.cnkihy.2019.022887. Cited in this article [2]

陶 知非, 赵 永林, 马 磊. 低频地震勘探与低频可控震源. 物探装备, 2011, 21(2): 71- 76. https://doi.org/10.3969/j.issn.1671-0657.2011.02.001 Cited in this article [2]

陶知非, 刘志刚, 王井富, 等. 2015-08-19. 一种确定可控震源最佳低频扫描信号的方法: 中国, 103323876B. Cited in this article [1]

陶 知非, 骆 飞, 马 磊, 等. LFV3低频可控震源. 石油科技论坛, 2016, 35(S1): 9- 238. 9-12, 237-238 Cited in this article [2]

陶 知非. 新一代高精度可控震源EV-56成功下线. 天然气工业, 2017, 37(6): 92. Cited in this article [1]

陶 知非. 应对当今地震勘探需求与挑战的高精度可控震源. 天然气勘探与开发, 2018, 41(3): 1- 6. https://doi.org/10.12055/gaskk.issn.1673-3177.2018.03.001 Cited in this article [1]

陶 知非. 宽频高精度可控震源树立了创新超越的典范. 石油地球物理勘探, 2022, 57(3): 746. Cited in this article [2]

田 新琦, 周 彤, 王 志明, 等. 滑动扫描可控震源地震数据谐波干扰的消除方法. 石油物探, 2011, 50(6): 565- 574. https://doi.org/10.3969/j.issn.1000-1441.2011.06.005 Cited in this article [1]

童 思友, 刘 岗, 徐 秀刚, 等. 基于UNet结构生成对抗网络的海底地震勘探数据混叠噪声压制方法. 中国海洋大学学报(自然科学版), 2024, 54(8): 123- 131. https://doi.org/10.16441/j.cnki.hdxb.20230136

佟 训乾, 林 君, 姜 弢, 等. 陆地可控震源发展综述. 地球物理学进展, 2012, 27(5): 1912- 1921. https://doi.org/10.6038/j.issn.1004-2903.2012.05.011 Cited in this article [1]

王 宝彬, 李 合群, 赵 波, 等. 滑动扫描地震数据的谐波干扰压制. 石油地球物理勘探, 2013, 48(1): 37- 41. https://doi.org/10.13810/j.cnki.issn.1000-7210.2013.01.006 Cited in this article [1]

王 海波, 张 伟, 张 宏, 等. 高精度可控震源在深反射地震采集中的应用. 地球物理学进展, 2019, 34(5): 1910- 1916. https://doi.org/10.6038/pg2019DD0314 Cited in this article [1]

王 华忠, 冯 波, 王 雄文, 等. 压缩感知及其在地震勘探中的应用. 石油物探, 2016, 55(4): 467- 474. https://doi.org/10.3969/j.issn.1000-1441.2016.04.001 Cited in this article [1]

王 瑞贞, 白 旭明, 王 金宽, 等. 朝克乌拉凹陷火成岩覆盖区地震勘探方法研究. 石油物探, 2020, 59(3): 382- 395. https://doi.org/10.3969/j.issn.1000-1441.2020.03.007 Cited in this article [1]

王云雷, 董烈乾, 安学勇, 等. 2024. 压缩感知地震数据重构技术的实例应用分析. //第二届中国石油物探学术年会论文集(上册). 武汉, 82-85, doi: 10.26914/c.cnkihy.2024.001569. Cited in this article [1]

魏 铁, 张 慕刚, 汪 长辉, 等. 可控震源高效采集技术及在国际项目中的应用. 石油科技论坛, 2012, 31(2): 7- 10. 7-10, 74 https://doi.org/10.3969/j.issn.1002-302x.2012.02.002 Cited in this article [1]

魏铁, 王伟, 祝杨, 等. 2024a. 常规可控震源低频激发技术在尼日尔探区的研究应用. //第二届中国石油物探学术年会论文集(上册). 武汉, 327-329, doi: 10.26914/c.cnkihy.2024.001632. Cited in this article [2]

魏 铁, 祝 杨, 李 培明, 等. 可控震源混频同步激发方法. 石油地球物理勘探, 2024b, 59(5): 948- 956. https://doi.org/10.13810/j.cnki.issn.1000-7210.2024.05.003 Cited in this article [1]

魏 亚杰, 张 盼, 许 卓. 基于稀疏约束反演的三维混采数据分离. 地球物理学报, 2019, 62(10): 4000- 4009. https://doi.org/10.6038/cjg2019M0501

魏 亚杰, 朱 煜嘉, 曹 静杰, 等. 基于改进U-Net的混合震源数据分离研究. 地球物理学进展, 2025, 40(4): 1428- 1439. https://doi.org/10.6038/pg2025II0555

魏 周宏, 马 红伟, 潘 远洲. 可控震源低频谐波畸变压制技术. 物探装备, 2015, 25(5): 293- 296. 293-296, 305 https://doi.org/10.3969/j.issn.1671-0657.2015.05.004 Cited in this article [5]

温 睿, 刘 国昌, 冉 扬. 压缩感知地震数据重建中的三个关键因素分析. 石油地球物理勘探, 2018, 53(4): 682- 693. https://doi.org/10.13810/j.cnki.issn.1000-7210.2018.04.004 Cited in this article [1]

徐 雷良, 张 剑, 赵 国勇. 基于阻尼雷克子波的可控震源非线性扫描信号设计方法. 石油地球物理勘探, 2022, 57(3): 540- 549. Cited in this article [1]

于富文, 张剑, 胡立新, 等. 2015-12-23. 频率域低频补偿扫描信号的设计方法: 中国, 105182405A. Cited in this article [1]

于 富文, 邸 志欣. 可控震源同步激发采集交涉干扰压制. 地球物理学进展, 2018, 33(1): 292- 296. https://doi.org/10.6038/pg2018BB0013

占 春启, 魏 铁, 王 光德, 等. SmartLF工作原理和应用介绍. 物探装备, 2020, 30(3): 206- 210. Cited in this article [1]

张 翠军, 胡 家昕, 魏 亚杰, 等. 基于改进DnCNN的混合震源数据分离研究. 河北地质大学学报, 2022, 45(6): 41- 48. https://doi.org/10.13937/j.cnki.hbdzdxxb.2022.06.006

张剑, 胡立新, 赵国勇, 等. 2020-12-22. 低畸变宽频扫描信号设计方法: 中国, 109782335B. Cited in this article [1]

张 录录, 夏 建军, 李 献民, 等. 可控震源动态扫描时距规则定量优化设计及应用. 石油物探, 2024, 63(3): 535- 547. https://doi.org/10.12431/issn.1000-1441.2024.63.03.002 Cited in this article [1]

张 慕刚, 骆 飞, 汪 长辉, 等. "两宽一高"地震采集技术工业化应用的进展. 天然气工业, 2017, 37(11): 1- 8. https://doi.org/10.3787/j.issn.1000-0976.2017.11.001 Cited in this article [2]

张 慕刚, 骆 飞, 魏 国伟, 等. 阿联酋超大型地震勘探项目采集技术规划与集成. 天然气勘探与开发, 2019, 42(2): 66- 75. https://doi.org/10.12055/gaskk.issn.1673-3177.2019.02.008 Cited in this article [1]

张 慕刚, 祝 杨, 董 烈乾, 等. 可控震源超高效混叠采集技术及应用. 地球物理学进展, 2021, 36(3): 1176- 1186. https://doi.org/10.6038/pg2021EE0147 Cited in this article [4]

周 锦钟, 张 金海, 牛 全兵, 等. 柴达木盆地尖顶山地区低频可控震源"两宽一高"地震资料处理关键技术应用研究. 物探与化探, 2020, 44(2): 313- 320. https://doi.org/10.11720/wtyht.2020.1280 Cited in this article [1]

周 松. 可控震源高效采集滑动时距曲线设计技术. 油气藏评价与开发, 2017, 7(5): 54- 57. 54-57, 84 https://doi.org/10.3969/j.issn.2095-1426.2017.05.011 Cited in this article [1]

周 松, 吕 尧, 吕 公河, 等. 基于压缩感知的非规则地震勘探观测系统设计与数据重建. 石油物探, 2017, 56(5): 617- 625. https://doi.org/10.3969/j.issn.1000-1441.2017.05.001 Cited in this article [1]

周 松, 霍 守东, 胡 立新, 等. 可控震源独立同步扫描高效地震采集资料噪声压制方法. 石油物探, 2018, 57(5): 691- 696. https://doi.org/10.3969/j.issn.1000-1441.2018.05.008

朱 立华. 基于稀疏反演的多震源地震混合采集数据分离技术. 石油物探, 2018, 57(2): 208- 212. https://doi.org/10.3969/j.issn.1000-1441.2018.02.005