劉洋，1972年10月生，湖北松滋人，博士，教授，博士生導(dǎo)師。主要從事地震勘探方面的教學(xué)工作，地震正反演與偏移、多分量地震與VSP、地震資料人工智能處理與解釋等方面的研究工作。發(fā)表期刊論文250余篇（其中SCI期刊論文130余篇）；獲省部級(jí)和學(xué)會(huì)級(jí)科技獎(jiǎng)一等、二等獎(jiǎng)7項(xiàng)，國家級(jí)教育教學(xué)成果二等獎(jiǎng)1項(xiàng)，省部級(jí)和學(xué)會(huì)級(jí)教育教學(xué)成果獎(jiǎng)特等、一等、二等獎(jiǎng)共4項(xiàng)；獲中國地球物理學(xué)會(huì)傅承義青年科技獎(jiǎng)、劉光鼎地球物理青年科技獎(jiǎng)、國際勘探地球物理學(xué)家學(xué)會(huì)（SEG）特別表彰獎(jiǎng)、北京市高等學(xué)校教學(xué)名師獎(jiǎng)、SEG雷吉諾德?范信達(dá)獎(jiǎng)；入選教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃、新疆天山英才工程。目前任《Geophysics》高級(jí)助理主編、《石油地球物理勘探》常務(wù)編委、《石油物探》和《Earthquake Science》編委、SEG Global董事會(huì)董事、SEG中國指導(dǎo)委員會(huì)委員、中國地球物理學(xué)會(huì)勘探地球物理委員會(huì)副主任、中國石油學(xué)會(huì)石油物探專業(yè)委員會(huì)副秘書長、全國油標(biāo)委石油物探專業(yè)標(biāo)準(zhǔn)化委員會(huì)委員、中國地球物理學(xué)會(huì)油氣地球物理專業(yè)委員會(huì)和智能地球物理專業(yè)委員會(huì)及地震學(xué)專業(yè)委員會(huì)委員等。
1.主要研究方向
[1] 地震正反演與偏移；
[2] 多波多分量地震與VSP；
[3] 人工智能地震資料處理和解釋。
2.聯(lián)系方式
[1] 電子郵件：wliuyang@vip.sina.com；liuyang@cup.edu.cn；
[2] 電話：010-89733017。
3.教育與工作經(jīng)歷
[1] 1989年9月在江漢石油學(xué)院物探系學(xué)習(xí)，1993年6月獲勘查地球物理專業(yè)工學(xué)學(xué)士學(xué)位；1993年9月在石油大學(xué)(北京)地球科學(xué)系攻讀碩士學(xué)位，1995年9月直攻博士，1998年6月獲應(yīng)用地球物理專業(yè)工學(xué)博士學(xué)位。
[2] 1998年9月留校任教，2000年12月晉升為副教授，2006年6月晉升為教授，2008年6月遴選為博士生導(dǎo)師。
[3] 2008年9月至2009年8月在美國德克薩斯大學(xué)奧斯汀分校做訪問學(xué)者，2017年9月至2022年12月在中國石油大學(xué)(北京)克拉瑪依校區(qū)石油學(xué)院工作。
[4] 曾任系副主任(2004-2005)、系黨支部書記(2005-2011)、學(xué)院副院長(2011-2016)、勘查專業(yè)負(fù)責(zé)人(2021-2022)、學(xué)院學(xué)術(shù)委員會(huì)主席(2021-2022)。
[5] 現(xiàn)為中國石油大學(xué)(北京)地球物理學(xué)院教授、博士生導(dǎo)師。
4.學(xué)術(shù)兼職
[1] SEG(國際勘探地球物理學(xué)家學(xué)會(huì))主辦的《Geophysics》期刊副主編（Associate Editor，2015-2021）、助理主編（Assistant Editor，2021-2025）、高級(jí)助理主編（Senior Assistant Editor，2025-2026）。
[2] 中國地球物理學(xué)會(huì)主辦的《Applied Geophysics》期刊編委（2006-）、副主編（2017-）。
[3] 《石油地球物理勘探》期刊編委（2003-2023）、常務(wù)編委（2023-）。
[4] 《石油物探》期刊編委（2007-）。
[5] 《Earthquake Science》期刊編委（2021-）。
[6] 中國地球物理學(xué)會(huì)年會(huì)（現(xiàn)為中國地球科學(xué)聯(lián)合學(xué)術(shù)年會(huì)）“油氣田與煤田地球物理勘探”專題召集人（2001-）。
[7] SEG Global董事會(huì)董事（Director of the Board of SEG Global Inc，2024-）。
[8] SEG大學(xué)與學(xué)生項(xiàng)目委員會(huì)委員（2014-2023）。
[9] SEG研究委員會(huì)委員（2015-2023）。
[10] SEG提名委員會(huì)委員（2020-2022）。
[11] SEG理事會(huì)成員及SEG第11區(qū)代表（2020-2022）。
[12] 中國地球物理學(xué)會(huì)勘探地球物理委員會(huì)副主任（2023-）。
[13] 中國地球物理學(xué)會(huì)油氣地球物理專業(yè)委員會(huì)委員（2023-）。
[14] 中國地球物理學(xué)會(huì)智能地球物理專業(yè)委員會(huì)委員（2022-）。
[15] 中國地球物理學(xué)會(huì)地震學(xué)專業(yè)委員會(huì)委員（2023-）
[16] 中國石油學(xué)會(huì)石油物探專業(yè)委員會(huì)副秘書長（2022-）。
[17] 全國油標(biāo)委石油物探專業(yè)標(biāo)準(zhǔn)化委員會(huì)委員（2018-）。
5.教學(xué)
[1] 在教學(xué)方面，先后為本科生講授《C語言程序設(shè)計(jì)》、《地震勘探原理》、《地震資料數(shù)字處理》、《數(shù)字信號(hào)分析與處理》等課程，為研究生講授《地球物理資料解釋》、《地震資料數(shù)字處理》等課程，指導(dǎo)本科生開展地震資料采集、處理與解釋等課程實(shí)踐。1999年至今，累計(jì)授課/帶實(shí)踐課程88門次。
[2] 主持編寫石油高等院校特色規(guī)劃教材《地震資料處理與解釋實(shí)習(xí)指導(dǎo)書》，參與編寫高等院校石油天然氣類規(guī)劃教材《地震數(shù)據(jù)處理方法》、高等院校油氣人工智能教育教學(xué)叢書《智能地球物理基礎(chǔ)與應(yīng)用場(chǎng)景探索》。
[3] 講授的《地震勘探原理》課程，錄制成視頻，上傳至優(yōu)酷網(wǎng)、大學(xué)生自學(xué)網(wǎng)、B站，供免費(fèi)學(xué)習(xí)。
[4] 講授的《數(shù)字信號(hào)分析與處理》《地震資料數(shù)字處理》課程，錄制成視頻，上傳至B站，供免費(fèi)學(xué)習(xí)。
[5] 負(fù)責(zé)的本科課程《地震勘探原理》被評(píng)為北京高校“優(yōu)質(zhì)本科課程”和學(xué)?！敖鹳|(zhì)優(yōu)課”。
[6] 獲國家級(jí)教育教學(xué)成果二等獎(jiǎng)1項(xiàng)，獲省部級(jí)、學(xué)會(huì)級(jí)教育教學(xué)成果獎(jiǎng)特等獎(jiǎng)1項(xiàng)、一等獎(jiǎng)2項(xiàng)、二等獎(jiǎng)1項(xiàng)，獲北京市高等學(xué)校教學(xué)名師獎(jiǎng)。
6.人才培養(yǎng)
[1] 指導(dǎo)全日制碩士研究生畢業(yè)92名、博士研究生畢業(yè)21名；碩士生主要在三大石油公司下屬企業(yè)工作，部分在國內(nèi)外繼續(xù)攻讀博士學(xué)位；畢業(yè)的21名博士中，13名在中國海洋大學(xué)、長安大學(xué)、中國地質(zhì)大學(xué)（北京）、中國石油大學(xué)（北京）克拉瑪依校區(qū)、長江大學(xué)、東北石油大學(xué)、東華理工大學(xué)、湖北經(jīng)濟(jì)學(xué)院、中國科學(xué)院地質(zhì)與地球物理所等高校和科研院所工作，2名在大學(xué)做博士后，4名在三大石油公司下屬研究院工作，2名留學(xué)生在中國石油集團(tuán)東方地球物理公司工作。
[2] 2008年以來指導(dǎo)的研究生中，獲全國百篇優(yōu)秀博士學(xué)位論文提名獎(jiǎng)1次，中國地球物理學(xué)會(huì)優(yōu)秀博士論文獎(jiǎng)1次，李四光優(yōu)秀碩士研究生獎(jiǎng)1次，中國地球物理學(xué)會(huì)學(xué)術(shù)年會(huì)“優(yōu)秀學(xué)生論文獎(jiǎng)”15人次，中國石油物探學(xué)術(shù)年會(huì)“優(yōu)秀論文”特等獎(jiǎng)1次、一等獎(jiǎng)1次、二等獎(jiǎng)1次，國際學(xué)術(shù)研討會(huì)“優(yōu)秀學(xué)生報(bào)告獎(jiǎng)”1次、“最佳口頭報(bào)告獎(jiǎng)”1次、“最佳張貼報(bào)告獎(jiǎng)”1次，“東方杯”全國大學(xué)生勘探地球物理大賽全國一等獎(jiǎng)15人次。指導(dǎo)本科生團(tuán)隊(duì)獲得“東方杯”全國大學(xué)生勘探地球物理大賽全國特等獎(jiǎng)1次、一等獎(jiǎng)1次。
[3] 擔(dān)任SEG、EAGE學(xué)生分會(huì)指導(dǎo)教師期間，SEG學(xué)生分會(huì)于2014年、2016年兩次獲得全球“山峰學(xué)生分會(huì)”(從300多個(gè)中評(píng)選10余個(gè))，EAGE學(xué)生分會(huì)2016年、2017年連續(xù)兩年獲得全球“最佳學(xué)生分會(huì)”(從70多個(gè)中評(píng)選3個(gè))。
[4] 作為主要負(fù)責(zé)人之一，2013年創(chuàng)辦“東方杯”全國大學(xué)生勘探地球物理大賽并成功舉辦六屆大賽。
[5] 2015年，指導(dǎo)五名研究生組隊(duì)參加EAGE的FIELD大賽并獲全球第三名。
[6] 2021至2022年，指導(dǎo)六名研究生組隊(duì)參加SEG的EVOLVE全球項(xiàng)目活動(dòng)，學(xué)生團(tuán)隊(duì)獲得“Hercules Award”，本人獲得“Engaged Faculty Advisor Award”。
[7] 近年來，3名研究生榮獲SEG獎(jiǎng)學(xué)金，6名研究生由SEG資助到美國參加SEG全球?qū)W生領(lǐng)袖論壇（Student Leadership Symposium），12名研究生參加SEG的EVOLVE全球項(xiàng)目活動(dòng)（其中2名研究生由SEG資助到美國匯報(bào)），52人次研究生出國參加SEG、EAGE年會(huì)。
7.科研
[1] 在科研及學(xué)術(shù)成果方面，長期從事地震勘探理論與方法研究工作，作為第一負(fù)責(zé)人完成教育部“新世紀(jì)優(yōu)秀人才支持計(jì)劃”項(xiàng)目、“油氣資源與探測(cè)”國家重點(diǎn)實(shí)驗(yàn)室“杰出人才”培育課題、國家自然科學(xué)基金面上項(xiàng)目、國家863“探索導(dǎo)向類”項(xiàng)目、國家油氣重大專項(xiàng)子課題、教育部回國留學(xué)啟動(dòng)基金、中國石油科技中青年創(chuàng)新基金等科研項(xiàng)目多項(xiàng)，在地震波動(dòng)方程數(shù)值模擬、逆時(shí)偏移成像、全波形反演、多分量地震、提高地震資料分辨率、人工智能地震資料處理與解釋等方面的研究中取得進(jìn)展。
[2] 至2025年9月，共發(fā)表期刊論文250余篇，被SCI收錄130余篇，SCI他引2100余次；以第一作者、通訊作者發(fā)表SCI期刊論文110余篇，其中國際SCI期刊論文80余篇。
[3] 2010年發(fā)表在美國《Geophysics》期刊上關(guān)于混合吸收邊界條件的論文，被SEG主辦的期刊《The Leading Edge》報(bào)道為地球物理亮點(diǎn)(Geophysics Bright Spots)。
[4] 1篇論文2014年獲得國際SCI期刊《Journal of Geophysics and Engineering》最佳論文獎(jiǎng)(Best Paper Award)。
[5] 1篇2020年發(fā)表的深度學(xué)習(xí)地震相識(shí)別論文圖片，被作為國際SCI期刊《IEEE Geoscience and Remote Sensing Letters》的封面。
[6] 1篇2024年發(fā)表的人工智能擴(kuò)散模型提高地震資料分辨率論文，被作為SCI期刊《Petroleum Science》的封面論文。
[7] 發(fā)表在英國《Geophysical Journal International》、美國《Geophysics》期刊上的2篇論文入選2012年SEG出版的地球物理再版系列書(Geophysics Reprints Series book)《Numerical Modeling of Seismic Wave Propagation: Gridded Two-way Wave-equation Methods》，該書從20余種國際期刊、國際會(huì)議上發(fā)表的論文中遴選出78篇文獻(xiàn)。
[8] 關(guān)于混合吸收邊界條件的研究成果，被SEG出版的專著《3D Seismic Survey Design》(2012)和《Seismic Inversion》(2017)，以及Springer出版的百科詞典《Encyclopedia of Solid Earth Geophysics (2nd edition)》(2021)介紹與推薦。
[9] 關(guān)于混合吸收邊界條件、提高有限差分正演精度和效率的論文成果，得到來自美國、中國、日本、韓國、巴西、瑞士、希臘、印度、墨西哥、沙特等多個(gè)國家的學(xué)者的研究、應(yīng)用或發(fā)展；15篇正演論文得到地學(xué)、數(shù)學(xué)、物理、計(jì)算機(jī)科學(xué)、工程等領(lǐng)域70余家國際SCI期刊論文他引。
[10] 完成10項(xiàng)國家軟件著作權(quán)登記，獲12項(xiàng)授權(quán)國家發(fā)明專利，獲省部級(jí)、學(xué)會(huì)級(jí)科技獎(jiǎng)勵(lì)一等獎(jiǎng)2項(xiàng)、二等獎(jiǎng)5項(xiàng)。
[11] 1999年獲中國地球物理學(xué)會(huì)傅承義青年科技獎(jiǎng)，2010年入選教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃，2011年獲劉光鼎地球物理青年科技獎(jiǎng)，2017年入選新疆天山英才工程，2020年被聘為新疆二級(jí)教授，2021年獲SEG特別表彰獎(jiǎng)(Special Commendation)，2025年獲SEG雷吉諾德?范信達(dá)獎(jiǎng)(Reginald Fessenden Award)。
8.波動(dòng)方程正反演與偏移論文（代表性論文）
15篇波動(dòng)方程正演代表性論文（本人第一作者且通訊作者論文）
[1] Yang Liu, Mrinal K. Sen, 2010, A hybrid scheme for absorbing edge reflections in numerical modeling of wave propagation, Geophysics, 75(2), A1–A6.
[2] Yang Liu, Mrinal K. Sen, 2012, A hybrid absorbing boundary condition for elastic staggered-grid modeling, Geophysical Prospecting, 60(6), 1114–1132.
[3] Yang Liu, Mrinal K. Sen, 2018, An improved hybrid absorbing boundary condition for wave equation modeling, Journal of Geophysics and Engineering, 15(6), 2602–2613.
[4] Yang Liu, Mrinal K. Sen, 2009, An implicit staggered-grid finite-difference method for seismic modeling, Geophysical Journal International, 179(1), 459–474
[5] Yang Liu, Mrinal K. Sen, 2009, A new time-space domain high-order finite-difference method for the acoustic wave equation, Journal of Computational Physics, 228(23), 8779–8806
[6] Yang Liu, Mrinal K. Sen, 2009, A practical implicit finite-difference method, examples from seismic modeling, Journal of Geophysics and Engineering, 6(3), 231–249.
[7] Yang Liu, Mrinal K. Sen, 2010, Acoustic VTI modeling with a time–space domain dispersion-relation-based finite-difference scheme, Geophysics, 75(3), A7–A13.
[8] Yang Liu, Mrinal K. Sen, 2011, Finite-difference modeling with adaptive variable length spatial operators, Geophysics, 76(4), T79–T89.
[9] Yang Liu, Mrinal K. Sen, 2011, Scalar wave equation modeling with time–space domain dispersion-relation-based staggered-grid finite-difference schemes, Bulletin of the Seismological Society of America, 101(1), 141–159.
[10] Yang Liu, Mrinal K. Sen, 2013, Time–space domain dispersion-relation-based finite-difference method with arbitrary even-order accuracy for the 2D acoustic wave equation, Journal of Computational Physics, 232(1), 327–345.
[11] Yang Liu, 2013, Globally optimal finite-difference schemes based on least squares, Geophysics, 78(4), T113–T132.
[12] Yang Liu, 2014, Optimal staggered-grid finite-difference schemes based on least squares for wave equation modeling, Geophysical Journal International, 197(2), 1033–1047.
[13] Yang Liu, 2020, Acoustic and elastic finite-difference modeling by optimal variable-length spatial operators, Geophysics, 85(2), T57–T70.
[14] Yang Liu, 2020, Maximizing the CFL number of stable time–space domain explicit finite-difference modeling, Journal of Computational Physics, 416, 109501.
[15] Yang Liu, 2022, Removing the stability limit of the time–space domain explicit finite difference schemes for acoustic modeling with stability condition-based spatial operators, Geophysics, 87(3), T205–T223.
部分波動(dòng)方程正反演與偏移論文（學(xué)生第一作者、本人通訊作者論文）
[1] Wenbin Tian, Yang Liu, 2024, Extraction of ADCIGs in viscoelastic media based on fractional viscoelastic equations, Petroleum Science, 21(6), 4062–4066.
[2] Jingyi Xu, Yang Liu, 2024, A stable staggered-grid finite-difference scheme for acoustic modeling beyond conventional stability limit, Petroleum Science, 21(1), 182–194.
[3] Wenbin Tian, Yang Liu, Zilong Dong, 2024, Unbalanced optimal transport for full waveform inversion in visco-acoustic media, Journal of Geophysics and Engineering, 21(1), 184–199.
[4] Wenbin Tian, Yang Liu, Xi Di, 2024, Enhancing seismic waveform inversion using a three-step strategy with adversarial neural networks and seismic envelope, IEEE Geoscience and Remote Sensing Letters, 21, 7505105.
[5] Hongyu Zhou, Yang Liu, Jing Wang, 2023, Two exact first-order k-space formulations for low-rank viscoacoustic wave propagation on staggered grids, Petroleum Science, 20(3), 1521–1531.
[6] Hongyu Zhou, Yang Liu, Jing Wang, 2023, K-space dispersion error compensators for the fractional spatial derivatives based constant-Q viscoelastic wave equation modeling, Journal of Computational Physics, 487, 112161.
[7] Zhennan Yu, Yang Liu, 2022, Full-waveform inversion for reverse vertical seismic profiling data based on a variant of the optimal transport theory, Geophysical Prospecting, 70(7), 1163-1175.
[8] Hongyu Zhou, Yang Liu, Jing Wang, 2022, Elastic wave modeling with high-order temporal and spatial accuracy by selectively modified staggered-grid finite-difference and its linear optimization scheme, IEEE Transactions on Geoscience and Remote Sensing, 60, 3000122.
[9] Hongyu Zhou, Yang Liu, Jing Wang, 2022, Time–space domain scalar wave modeling by a new hybrid staggered-grid finite-difference method with high temporal and spatial accuracy, Journal of Computational Physics, 455, 111004.
[10] Hongyu Zhou, Yang Liu, Jing Wang, Yuanyuan Ma, 2022, Novel first order k-space formulations for wave propagation by asymmetrical factorization of space-wavenumber domain wave propagator, Geophysics, 87(6), T417-T433.
[11] Jing Wang, Yang Liu, Hongyu Zhou, 2022, High temporal accuracy elastic wave simulation with new time–space domain implicit staggered-grid finite-difference schemes, Geophysical Prospecting, 70(8), 1346-1366.
[12] Yabing Zhang, Yang Liu, Shigang Xu, 2021, Viscoelastic wave simulation with high temporal accuracy using time-domain complex-valued equations, Surveys in Geophysics, 42, 97-132.
[13] Yabing Zhang, Yang Liu, Shigang Xu, 2020, Arbitrary-order Taylor expansion based viscoacoustic wavefield simulation in 3D VTI media, Geophysical Prospecting, 68(8), 2379-2399.
[14] Shigang Xu, Yang Liu, 2019, Time-space-domain temporal high-order staggered-grid finite-difference schemes by combining orthogonality and pyramid stencils for 3D elastic-wave propagation, Geophysics, 84(4), T259-T282.
[15] Xin Liu, Yang Liu, Zhiming Ren, Bei Li, 2019, Perfectly matched layer boundary conditions for acoustic wave simulation in mesh-free discretization using frequency domain RBF-FD, Geophysical Prospecting, 67(7), 1732-1744.
[16] Zhiming Ren, Yang Liu, Mrinal K. Sen, 2017, Least-squares reverse time migration in elastic media, Geophysical Journal International, 208 (2), 1103-1125.
[17] Bei Li, Yang Liu, Mrinal K. Sen, Zhiming Ren, 2017, Time-space-domain mesh-free finite-difference based on least-squares for 2D acoustic wave modeling, Geophysics, 82(4), T143-T157.
[18] Enjiang Wang, Yang Liu, Mrinal K. Sen, 2016, Effective finite-difference modelling methods with 2-D acoustic wave equation using a combination of cross and rhombus stencils, Geophysical Journal International, 206(3), 1933-1958.
[19] Zhiming Ren, Yang Liu, 2016, A hierarchical elastic full-waveform inversion scheme based on wavefield separation and the multistep-length approach, Geophysics, 81(3), R99-R123.
[20] Zhiming Ren, Yang Liu, 2015, Acoustic and elastic modeling by optimal time–space domain staggered-grid finite-difference schemes, Geophysics, 80(1), T17-T40.
[21] Zhiming Ren, Yang Liu, 2015, Elastic full waveform inversion using the second generation wavelet and an adaptive operator length scheme, Geophysics, 80(4), R155-R174.
[22] Zhiming Ren, Yang Liu, Qunshan Zhang, 2014, Multiscale viscoacoustic waveform inversion with the second generation wavelet transform and adaptive time–space domain finite-difference method, Geophysical Journal International, 197 (2), 948-974.
[23] Hongyong Yan, Yang Liu, 2013, Visco-acoustic prestack reverse-time migration based on time–space domain adaptive high-order finite-difference method, Geophysical Prospecting, 61(5), 941-954.
9.人工智能地震資料處理與解釋論文（所有期刊論文）
[1] 劉洋, 孫宇航, 張浩然, 田文彬, 陳桂, 馬江濤, 2025, 人工智能地震資料處理與解釋方法研究進(jìn)展, 石油地球物理勘探, 60(4): 1067-1087.
[2] Gui Chen, Yang Liu, Mi Zhang, Yuhang Sun, Haoran Zhang, 2025, Unsupervised seismic reconstruction via deep learning with one-dimensional signal representation, Computers and Geosciences, 200, 105916.
[3] Dingding Deng, Yang Liu, Gui Chen, Jiangtao Ma, Yujiao Wang, 2025, A wavefield decomposition-guided deep-learning framework for removing smearing artifacts from VSP RTM, Journal of Geophysics and Engineering, 22 (4), 1085–1095.
[4] Wenbin Tian, Yang Liu, Yibo Zhang, 2025, Enhancing learning to solve multicomponent fractional viscoelastic equations with U-net Fourier neural operators, Journal of Geophysics and Engineering, 22(1), 16–35.
[5] Tengyu Wang, Dingding Deng, Duoming Zheng, Zhen Zhang, Wenjun Luo, Yang Liu, 2025, Joint P- and S-wave VSP Traveltime Tomography via Well Log-Guided Physics-Informed Neural Networks, IEEE Access, 13, 133280–13292.
[6] Mi Zhang, Kai Jiao, Yang Liu, Gui Chen, Haoran Zhang, 2025, Resolution-enhanced BM3D for post-stack weak signal recovery, Journal of Geophysics and Engineering, 22 (4), 1115–1131.
[7] 李欽昭, 劉洋, 席念旭, 張浩然, 邸希, 2025, 基于互相關(guān)約束和CNN-GRU網(wǎng)絡(luò)的井震自動(dòng)標(biāo)定, 石油地球物理勘探, 60(3), 564-575.
[8] 邸希, 劉洋, 2025, 深度學(xué)習(xí)在地震斷層解釋中的研究進(jìn)展, 地球物理學(xué)進(jìn)展, 40(4), 1688–1716.
[9] 趙軍才, 馬江濤, 劉洋, 王寧, 胡亞東, 譚勇, 2025,基于多數(shù)據(jù)融合和自適應(yīng)加權(quán)混合損失函數(shù)約束的地震波初至智能拾取方法, 石油物探, 64(4): 691–700.
[10] Yu-Hang Sun, Hong-Li Dong, Gui Chen, Xue-Gui Li, Yang Liu, Xiao-Hong Yu, Jun Wu, 2025, Intelligent seismic AVO inversion method for brittleness index of shale oil reservoirs, Petroleum Science, 22(2), 627-640
[11] Gui Chen, Yang Liu, Yuhang Sun, 2024, Unsupervised 3D seismic data reconstruction using a weighted-attentive deep learning framework, Geophysics, 89(6), V635–V652.
[12] Haoran Zhang, Yang Liu, 2024, SeisResoDiff: Seismic resolution enhancement based on a diffusion model, Petroleum Science, 21(5), 3166–3188.
[13] Gui Chen, Yang Liu, Xi Di, Haoran Zhang, 2024, CO2Seg: Automatic CO2 segmentation from 4-D seismic image using convolutional vision transformer, IEEE Transactions on Geoscience and Remote Sensing, 62, 4505014.
[14] Gui Chen, Yang Liu, 2024, FUDLInter: Frequency-space-dependent unsupervised deep learning framework for 3D and 5D seismic data interpolation, IEEE Transactions on Geoscience and Remote Sensing, 62, 5922018.
[15] Gui Chen, Yang Liu, 2024, Combining unsupervised deep learning and Monte Carlo dropout for seismic data reconstruction and its uncertainty quantification, Geophysics, 89(1), WA53–WA65.
[16] Wenbin Tian, Yang Liu, Xi Di, 2024, Enhancing seismic waveform inversion using a three-step strategy with adversarial neural networks and seismic envelope, IEEE Geoscience and Remote Sensing Letters, 21, 7505105.
[17] 楊菲, 劉洋, 常鎖亮, 陳桂, 2024, 基于雙向GRU和注意力機(jī)制的疊前地震孔隙度預(yù)測(cè)方法, 石油物探, 63(3), 598–609.
[18] Yuhang Sun, Yang Liu, Hongli Dong, Gui Chen, Xuegui Li, 2024, Seismic AVO inversion method for viscoelastic media based on a tandem invertible neural network model, IEEE Transactions on Geoscience and Remote Sensing, 62, 5903418.
[19] Yuhang Sun, Hongli Dong, Gui Chen, Yamin Shang, Liyan Zhang, Yang Liu, 2024, Seismic PP-Wave AVO inversion method for VTI media based on double discriminator conditional generative adversarial networks, IEEE Transactions on Geoscience and Remote Sensing, 62, 5928021.
[20] Haoran Zhang, Tariq Alkhalifah, Yang Liu, Claire Birnie, Xi Di, 2023, Improving the generalization of deep neural networks in seismic resolution enhancement, IEEE Geoscience and Remote Sensing Letters, 20, 7500105.
[21] Carlos Honorio Bastidas Pérez, Yang Liu, 2023, Three-dimensional initial salt body building for full-waveform inversion assisted by deep learning, IEEE Geoscience and Remote Sensing Letters, 20, 3002105.
[22] David Cova, Yang Liu, 2023, Shear wave velocity prediction using bidirectional recurrent gated graph convolutional network with total information embeddings, Frontiers in Earth Science, 11, 1101601.
[23] 李鍵, 陳桂, David Cova, 孫永壯, 孫宇航, 劉洋, 2023, 一種基于ConvLSTM神經(jīng)網(wǎng)絡(luò)的TOC含量地震預(yù)測(cè)方法, 地球物理學(xué)進(jìn)展, 38(3), 1143–1151.
[24] Yuhang Sun, Yang Liu, 2022, Model-data-driven P-wave impedance inversion using U-Net convolutional neural networks and normalized zero-lag cross-correlation objective function, Petroleum Science, 19(6), 2711–2719.
[25] Jinshui Liu, Yuhang Sun, Yang Liu, 2022, Model-data-driven seismic inversion method based on small sample data, Petroleum Exploration and Development, 49(5), 1046–1055.
[26] Yuhang Sun, Yang Liu, Mi Zhang, Haoran Zhang, 2022, Inversion of low–medium frequency velocities and density from AVO data using invertible neural network, Geophysics, 87(3), A37-A42.
[27] Mi Zhang, Yang Liu, 2022, 3D Seismic Data Recovery via Neural Network Based Matrix Completion, IEEE Geoscience and Remote Sensing Letters, 19, 8026305.
[28] Haoran Zhang, Ping Yang, Yang Liu, Yaneng Luo, Jingyi Xu, 2022, Deep learning-based low-frequency extrapolation and impedance inversion of seismic data, IEEE Geoscience and Remote Sensing Letters, 19, 7505905.
[29] Gui Chen, Yang Liu, Mi Zhang, and Haoran Zhang, 2022, Dropout-based robust self-supervised deep learning for seismic data denoising, IEEE Geoscience and Remote Sensing Letters, 19, 8027205..
[30] 馬江濤, 劉洋, 張浩然, 2022, 地震相智能識(shí)別研究進(jìn)展, 石油物探, 61(2), 262-275.
[31] Yuhang Sun, Yang Liu, 2021, Model-data-driven AVO inversion method based on multiple objective functions, Applied Geophysics, 18(4), 525-536.
[32] Haoran Zhang, Tiansheng Chen, Yang Liu, Yuxi Zhang, Jiong Liu, 2021, Automatic seismic facies interpretation based on supervised deep learning, Geophysics, 86(1), IM15-IM33.
[33] David Cova, 劉洋, 丁成震, 魏程霖, 胡飛, 李韻竹 2021, 人工智能和視速度約束的地震波初至拾取方法, 石油地球物理勘探, 56(3), 419–435.
[34] 孫宇航, 劉洋, 2021, 基于無監(jiān)督深度學(xué)習(xí)的多波AVO反演及儲(chǔ)層流體識(shí)別, 石油物探, 60 (3), 385–394.
[35] 陳桂, 劉洋, 2021, 基于人工智能的斷層自動(dòng)識(shí)別研究進(jìn)展, 地球物理學(xué)進(jìn)展, 36(1), 119–131.
[36] Yuxi Zhang, Yang Liu, Haoran Zhang, Hao Xue, 2020, Seismic facies analysis based on deep learning, IEEE Geoscience and Remote Sensing Letters, 17(7): 1119–1123.
[37] 張玉璽, 劉洋, 張浩然, 呂文杰, 薛浩, 2020, 基于深度學(xué)習(xí)的多屬性鹽丘自動(dòng)識(shí)別方法, 石油地球物理勘探, 55(3):475–483.
[38] 孫宇航, 劉洋, 2020, 基于GRU神經(jīng)網(wǎng)絡(luò)的橫波速度預(yù)測(cè)方法, 石油地球物理勘探, 55(3):484–492, 503.
[39] Mi Zhang, Yang Liu, Min Bai, and Yangkang Chen, 2019, Seismic noise attenuation using unsupervised sparse feature learning, IEEE Transactions on Geoscience and Remote Sensing, 57(12).
[40] Mi Zhang, Yang Liu and Yangkang Chen, 2019, Unsupervised seismic random noise attenuation based on deep convolutional neural network, IEEE Access, 7: 179810–179822.
10.期刊論文（分年度）
2025年
[1] 劉洋, 孫宇航, 張浩然, 田文彬, 陳桂, 馬江濤, 2025, 人工智能地震資料處理與解釋方法研究進(jìn)展, 石油地球物理勘探, 60(4): 1067-1087.
[2] Gui Chen, Yang Liu, Mi Zhang, Yuhang Sun, Haoran Zhang, 2025, Unsupervised seismic reconstruction via deep learning with one-dimensional signal representation, Computers & Geosciences, 200, 105916.
[3] Wenbin Tian, Yang Liu, Yibo Zhang, 2025, Enhancing learning to solve multicomponent fractional viscoelastic equations with U-net Fourier neural operators, Journal of Geophysics and Engineering, 22(1), 16–35.
[4] Dingding Deng, Yang Liu, Gui Chen, Jiangtao Ma, Yujiao Wang, 2025, A wavefield decomposition-guided deep-learning framework for removing smearing artifacts from VSP RTM, Journal of Geophysics and Engineering, 22 (4), 1085–1095.
[5] 李欽昭, 劉洋, 席念旭, 張浩然, 邸希, 2025, 基于互相關(guān)約束和CNN-GRU網(wǎng)絡(luò)的井震自動(dòng)標(biāo)定, 石油地球物理勘探, 60(3), 564-575.
[6] 董子龍, 劉洋, 孫宇航, 田文彬, 邸希, 2024, 應(yīng)用互相關(guān)目標(biāo)函數(shù)和貝葉斯理論的縱波和轉(zhuǎn)換波聯(lián)合AVO反演方法, 石油地球物理勘探, 60(3), 761-774.
[7] Tengyu Wang, Dingding Deng, Duoming Zheng, Zhen Zhang, Wenjun Luo, Yang Liu, 2025, Joint P- and S-wave VSP Traveltime Tomography via Well Log-Guided Physics-Informed Neural Networks, IEEE Access, 13, 133280–13292.
[8] 趙軍才, 馬江濤, 劉洋, 王寧, 胡亞東, 譚勇, 2025, 基于多數(shù)據(jù)融合和自適應(yīng)加權(quán)混合損失函數(shù)約束的地震波初至智能拾取方法, 石油物探, 64(4): 691–700.
[9] Yu-Hang Sun, Hong-Li Dong, Gui Chen, Xue-Gui Li, Yang Liu, Xiao-Hong Yu, Jun Wu, 2025, Intelligent seismic AVO inversion method for brittleness index of shale oil reservoirs, Petroleum Science, 22(2), 627-640.
[10] Mi Zhang, Kai Jiao, Yang Liu, Gui Chen, 2025, Haoran Zhang, Resolution-enhanced BM3D for post-stack weak signal recovery, Journal of Geophysics and Engineering, 22 (4), 1115–1131.
2024年
[11] Jingyi Xu, Yang Liu, 2024, A stable staggered-grid finite-difference scheme for acoustic modeling beyond conventional stability limit, Petroleum Science, 21(1), 182–194.
[12] Haoran Zhang, Yang Liu, 2024, SeisResoDiff: Seismic resolution enhancement based on a diffusion model, Petroleum Science, 21(5), 3166–3188.
[13] Wenbin Tian, Yang Liu, 2025, Extraction of ADCIGs in viscoelastic media based on fractional viscoelastic equations, Petroleum Science, 21(6), 4062–4066.
[14] Gui Chen, Yang Liu, Xi Di, Haoran Zhang, 2024, CO2Seg: Automatic CO2 segmentation from 4-D seismic image using convolutional vision transformer, IEEE Transactions on Geoscience and Remote Sensing, 62, 4505014.
[15] Gui Chen, Yang Liu, 2024, FUDLInter: Frequency-space-dependent unsupervised deep learning framework for 3D and 5D seismic data interpolation, IEEE Transactions on Geoscience and Remote Sensing, 62, 5922018.
[16] Gui Chen, Yang Liu, 2024, Combining unsupervised deep learning and Monte Carlo dropout for seismic data reconstruction and its uncertainty quantification, Geophysics, 89(1), WA53–WA65.
[17] Gui Chen, Yang Liu, Yuhang Sun, 2024, Unsupervised 3D seismic data reconstruction using a weighted-attentive deep learning framework, Geophysics, 89(6), V635–V652.
[18] Gui Chen, Yang Liu, Mi Zhang, Yuhang Sun, Haoran Zhang, 2024, Low-rank approximation reconstruction of five-dimensional seismic data, Surveys in Geophysics, 45, 1459–1492.
[19] Wenbin Tian, Yang Liu, Zilong Dong, 2024, Unbalanced optimal transport for full waveform inversion in visco-acoustic media, Journal of Geophysics and Engineering, 21(1), 184–199.
[20] Wenbin Tian, Yang Liu, Xi Di, 2024, Enhancing seismic waveform inversion using a three-step strategy with adversarial neural networks and seismic envelope, IEEE Geoscience and Remote Sensing Letters, 21, 7505105.
[21] 楊菲, 劉洋, 常鎖亮, 陳桂, 2024, 基于雙向GRU和注意力機(jī)制的疊前地震孔隙度預(yù)測(cè)方法, 石油物探, 63(3), 598–609.
[22] 許靜怡, 王瑞貞, 張亞兵, 劉洋, 2024, 地震衰減模型的研究進(jìn)展, 地球物理學(xué)進(jìn)展, 39(2): 525–541.
[23] 張亞兵, 劉洋, 陳同俊, 2024, 基于分?jǐn)?shù)階Zener模型的VTI黏彈性介質(zhì)頻變Q效應(yīng)數(shù)值模擬, 地球物理學(xué)報(bào), 67(9): 3510–3526.
[24] Yabing Zhang, Tongjun Chen, Hejun Zhu, Yang Liu, 2024, A stable Q-compensated reverse-time migration method using a modified fractional viscoacoustic wave equation, Geophysics, 89(1), S15–S29.
[25] Yabing Zhang, Hejun Zhu, Yang Liu, Tongjun Chen, 2024, Frequency-dependent Q simulation and viscoacoustic reverse time migration based on the fractional Zener model, Geophysics, 89(1), S47–S59.
[26] Yabing Zhang, Hejun Zhu, Yang Liu, Tongjun Chen, 2024, Power-law frequency-dependent Q simulations in viscoacoustic media using decoupled fractional Laplacians, Geophysics, 89(4), T183–T194.
[27] Yuhang Sun, Yang Liu, Hongli Dong, Gui Chen, Xuegui Li, 2024, Seismic AVO inversion method for viscoelastic media based on a tandem invertible neural network model, IEEE Transactions on Geoscience and Remote Sensing, 62, 5903418.
[28] Yuhang Sun, Hongli Dong, Gui Chen, Yamin Shang, Liyan Zhang, Yang Liu, 2024, Seismic PP-Wave AVO inversion method for VTI media based on double discriminator conditional generative adversarial networks, IEEE Transactions on Geoscience and Remote Sensing, 62, 5928021.
2023年
[29] Hongyu Zhou, Yang Liu, Jing Wang, 2023, K-space dispersion error compensators for the fractional spatial derivatives based constant-Q viscoelastic wave equation modeling, Journal of Computational Physics, 487, 112161.
[30] Carlos Honorio Bastidas Pérez, Yang Liu, 2023, Three-dimensional initial salt body building for full-waveform inversion assisted by deep learning, IEEE Geoscience and Remote Sensing Letters, 20, 3002105.
[31] Hongyu Zhou, Yang Liu, Jing Wang, 2023, Two exact first-order k-space formulations for low-rank viscoacoustic wave propagation on staggered grids, Petroleum Science, 20(3), 1521-1531.
[32] David Cova, Yang Liu, 2023, Shear wave velocity prediction using bidirectional recurrent gated graph convolutional network with total information embeddings, Frontiers in Earth Science, 11, 1101601.
[33] Haoran Zhang, Tariq Alkhalifah, Yang Liu, Claire Birnie, Xi Di, 2023, Improving the generalization of deep neural networks in seismic resolution enhancement, IEEE Geoscience and Remote Sensing Letters, 20, 7500105.
[34] 王靜, 劉洋, 周泓宇, 2023, 時(shí)間-空間高階精度矩形交錯(cuò)網(wǎng)格隱式有限差分聲波正演模擬, 地球物理學(xué)報(bào), 66(1), 368-382.
[35] Yabing Zhang, Tongjun Chen, Hejun Zhu, Yang Liu, Tao Xing, Xin Zhang, 2023, Approximating constant-Q seismic wave propagations in acoustic and elastic media using a Cole-Cole model, Bulletin of the Seismological Society of America, 113(1), 312-332.
[36] 李鍵, 陳桂, David Cova, 孫永壯, 孫宇航, 劉洋, 2023, 一種基于ConvLSTM神經(jīng)網(wǎng)絡(luò)的TOC含量地震預(yù)測(cè)方法, 地球物理學(xué)進(jìn)展, 38(3), 1143-1151.
[37] Yabing Zhang, Tongjun Chen, Yang Liu, Hejun Zhu, 2023, High temporal accuracy viscoacoustic wave propagation based on k-space compensation and the fractional-Zener model, Surveys in Geophysics, 44, 821-845.
2022年
[38] Yang Liu, 2022, Removing the stability limit of the time–space domain explicit finite difference schemes for acoustic modeling with stability condition-based spatial operators, Geophysics, 87(3), T205-T223.
[39] Yuhang Sun, Yang Liu, Mi Zhang, Haoran Zhang, 2022, Inversion of low–medium frequency velocities and density from AVO data using invertible neural network, Geophysics, 87(3), A37-A42.
[40] Hongyu Zhou, Yang Liu, Jing Wang, Yuanyuan Ma, 2022, Novel first order k-space formulations for wave propagation by asymmetrical factorization of space-wavenumber domain wave propagator, Geophysics, 87(6), T417-T433.
[41] Hongyu Zhou, Yang Liu, Jing Wang, 2022, Elastic wave modeling with high-order temporal and spatial accuracy by selectively modified staggered-grid finite-difference and its linear optimization scheme, IEEE Transactions on Geoscience and Remote Sensing, 60, 3000122.
[42] Hongyu Zhou, Yang Liu, Jing Wang, 2022, Time–space domain scalar wave modeling by a new hybrid staggered-grid finite-difference method with high temporal and spatial accuracy, Journal of Computational Physics, 455, 111004.
[43] Haoran Zhang, Ping Yang, Yang Liu, Yaneng Luo, Jingyi Xu, 2022, Deep learning-based low-frequency extrapolation and impedance inversion of seismic data, IEEE Geoscience and Remote Sensing Letters, 19, 7505905.
[44] Mi Zhang, Yang Liu, 2022, 3D seismic data recovery via neural network based matrix completion, IEEE Geoscience and Remote Sensing Letters, 19, 8026305.
[45] Gui Chen, Yang Liu, Mi Zhang, Haoran Zhang, 2022, Dropout-based robust self-supervised deep learning for seismic data denoising, IEEE Geoscience and Remote Sensing Letters, 19, 8027205.
[46] Yuhang Sun, Yang Liu, 2022, Model-data-driven P-wave impedance inversion using U-Net convolutional neural networks and normalized zero-lag cross-correlation objective function, Petroleum Science, 19(6), 2711-2719.
[47] Jing Wang, Yang Liu, Hongyu Zhou, 2022, A new linear optimized time–space domain spatial implicit and temporal high-order finite-difference scheme for scalar wave modeling, Journal of Applied Geophysics, 201, 104637.
[48] Zhennan Yu, Yang Liu, 2022, Full-waveform inversion for reverse vertical seismic profiling data based on a variant of the optimal transport theory, Geophysical Prospecting, 70(7), 1163-1175.
[49] Jing Wang, Yang Liu, Hongyu Zhou, 2022, High temporal accuracy elastic wave simulation with new time–space domain implicit staggered-grid finite-difference schemes, Geophysical Prospecting, 70(8), 1346-1366.
[50] Yabing Zhang, Yang Liu, Hejun Zhu, Tongjun Chen, Juanjuan Li, 2022, Modified viscoelastic wavefield simulations in the time domain using the new fractional Laplacians, Journal of Geophysics and Engineering, 19(3), 346-361.
[51] Jing Wang, Yang Liu, Hongyu Zhou, 2022, A novel equivalent staggered-grid finite-difference scheme and its optimization strategy for variable-density acoustic wave modelling, Exploration Geophysics, 53(6), 669-682.
[52] 張夢(mèng)柯, 趙前華, 羅斌, 劉洋, 2022, 鉆頭隨鉆地震技術(shù)綜述, 地球物理學(xué)進(jìn)展, 37(4), 1677-1688.
[53] 馬江濤, 劉洋, 張浩然, 2022, 地震相智能識(shí)別研究進(jìn)展, 石油物探, 61(2), 262-275.
[54] Zhennan Yu, Yang Liu, 2022, A robust migration velocity analysis method based on adaptive differential semblance optimization, Journal of Applied Geophysics, 207, 104851.
[55] Jinshui Liu, Yuhang Sun, Yang Liu, 2022, Model-data-driven seismic inversion method based on small sample data, Petroleum Exploration and Development, 49(5), 1046-1055.
[56] Yabing Zhang, Tongjun Chen, Yang Liu, Hejun Zhu, Guanghui Zhu, Yunfei Niu, 2022, Viscoelastic wave propagation in transversely isotropic media based on constant-order fractional polynomial approximations, Geophysics, 87(5), T363-T379.
[57] 徐世剛, 包乾宗, 任志明, 劉洋, 2022, 基于時(shí)間高精度空間隱式矩形交錯(cuò)網(wǎng)格有限差分的彈性波數(shù)值模擬, 地球物理學(xué)報(bào), 65(4), 1389-1401.
[58] 徐世剛, 包乾宗, 任志明, 劉洋, 2022, 結(jié)合泊松算法和改進(jìn)波場(chǎng)分解的各向異性純聲波逆時(shí)偏移成像, 石油地球物理勘探, 57(3), 613-623.
2021年
[59] Yabing Zhang, Yang Liu, Shigang Xu, 2021, Viscoelastic wave simulation with high temporal accuracy using time-domain complex-valued equations, Surveys in Geophysics, 42, 97-132.
[60] Haoran Zhang, Tiansheng Chen, Yang Liu, Yuxi Zhang, Jiong Liu, 2021, Automatic seismic facies interpretation using supervised deep learning, Geophysics, 86(1), IM15-IM33.
[61] Zhennan Yu, Yang Liu, 2021, Differential semblance optimization based on the adaptive quadratic Wasserstein distance, Journal of Geophysics and Engineering, 18(5), 605-617.
[62] Jing Wang, Yang Liu, Hongyu Zhou, 2021, Acoustic wave propagation with new spatial implicit and temporal high-order staggered-grid finite-difference schemes, Journal of Geophysics and Engineering, 18(5), 808-823.
[63] Lele Zhang, Yang Liu, Wanli Jia, 2021, Suppressing residual low-frequency noise in VSP reverse time migration by combining wavefield decomposition imaging condition with Poynting vector filtering, Exploration Geophysics, 52(2), 235-244.
[64] Hongyu Zhou, Yang Liu, Jing Wang, 2021, Optimizing orthogonal-octahedron finite-difference scheme for 3D acoustic wave modeling by combination of Taylor-series expansion and Remez exchange method, Exploration Geophysics, 52(3), 335-355.
[65] Zhennan Yu, Yang Liu, 2021, A robust migration velocity analysis through an asymptotic inverse via generalized Radon transform, Exploration Geophysics, 52(6), 643-658.
[66] Yuhang Sun, Yang Liu, 2021, Model-data-driven AVO inversion method based on multiple objective functions, Applied Geophysics, 18(4), 525-536.
[67] David Cova, 劉洋, 丁成震, 魏程霖, 胡飛, 李韻竹 2021, 人工智能和視速度約束的地震波初至拾取方法, 石油地球物理勘探, 56(3), 419-435.
[68] 孫宇航, 劉洋, 2021, 基于無監(jiān)督深度學(xué)習(xí)的多波AVO反演及儲(chǔ)層流體識(shí)別, 石油物探, 60 (3), 385-394.
[69] 陳桂, 劉洋, 2021, 基于人工智能的斷層自動(dòng)識(shí)別研究進(jìn)展, 地球物理學(xué)進(jìn)展, 36(1), 119-131.
[70] Hongyu Zhou, Yang Liu, Jing Wang, 2021, Acoustic finite-difference modeling beyond conventional Courant–Friedrichs–Lewy stability limit: an approach by variable-length temporal and spatial operators, Earthquake Science, 34(2), 123-136.
[71] Mengyao Jiao, Tianyue Hu, Yang Liu, Shaohuan Zu, Weikang Kuang, 2021, Deblending method of multisource seismic data based on a periodically varying cosine code, IEEE Geoscience and Remote Sensing Letters, 18(9), 1675-1670.
[72] Shigang Xu, Qianzong Bao, Yang Liu, 2021, Applying an advanced temporal and spatial high-order finite-difference stencil to 3D seismic wave modeling, Journal of Computational Physics, 436, 110133.
[73] Mengyao Jiao, Tianyue Hu, Yang Liu, Zhenzhen Yu, Shanglin Liang, Lichao Liu, Jiwei Liu, 2021, Effects of periodically varying codes on separation of multisource blended data, Applied Geophysics, 18(3), 331-344.
2020年
[74] Yang Liu, 2020, Acoustic and elastic finite-difference modeling by optimal variable-length spatial operators, Geophysics, 85(2), T57-T70.
[75] Yang Liu, 2020, Maximizing the CFL number of stable time–space domain explicit finite-difference modeling, Journal of Computational Physics, 416, 109501.
[76] Mi Zhang, Yang Liu, Haoran Zhang, Yangkang Chen, 2020, Incoherent noise suppression of seismic data based on robust low-rank approximation, IEEE Transactions on Geoscience and Remote Sensing, 58(12), 9709-9723.
[77] Yuxi Zhang, Yang Liu, Haoran Zhang, Hao Xue, 2020, Seismic facies analysis based on deep learning, IEEE Geoscience and Remote Sensing Letters, 17(7), 1119-1123.
[78] Yabing Zhang, Yang Liu, Shigang Xu, 2020, Arbitrary-order Taylor expansion based viscoacoustic wavefield simulation in 3D VTI media, Geophysical Prospecting, 68(8), 2379-2399.
[79] Yabing Zhang, Yang Liu, Shigang Xu, 2020, Anisotropic viscoacoustic wavemodelling in VTI media using frequency-dependent complex velocity, Journal of Geophysics and Engineering, 17(4), 700-714.
[80] 張玉璽, 劉洋, 張浩然, 呂文杰, 薛浩, 2020, 基于深度學(xué)習(xí)的多屬性鹽丘自動(dòng)識(shí)別方法, 石油地球物理勘探, 55(3), 475-483.
[81] 孫宇航, 劉洋, 2020, 基于GRU神經(jīng)網(wǎng)絡(luò)的橫波速度預(yù)測(cè)方法, 石油地球物理勘探, 55(3):484-492, 503.
[82] Enjiang Wang, Jing Ba, José M. Carcione, Yang Liu, 2020, Reflection and transmission of plane elastic waves at an interface between two double-porosity media: effect of local fluid flow, Surveys in Geophysics, 41, 283-322.
[83] Enjiang Wang, Jing Ba, José M. Carcione, Yang Liu, Hongchao Dong, 2020, Effect of local fluid flow on the reflection and transmission of elastic waves at an interface between an elastic solid and a double-porosity medium, Geophysics, 85(4), T237-T256.
[84] Shigang Xu, Yang Liu, 2020, Modeling 3D acoustic-wave propagation using modified cuboid-based staggered-grid finite-difference methods with temporal and spatial high-order accuracy, Studia Geophysica Et Geodaetica, 64(4), 465-482.
[85] Lei Shi, Yuhang Sun, Yang Liu, David Cova, Junzhou Liu, 2020, High-order AVO inversion for effective pore-fluid bulk modulus based on series reversion and Bayesian theory, Energies, 13, 1313.
2019年
[86] Mi Zhang, Yang Liu, Min Bai, Yangkang Chen, 2019, Seismic noise attenuation using unsupervised sparse feature learning, IEEE Transactions on Geoscience and Remote Sensing, 57(12), 9709-9723.
[87] Mi Zhang, Yang Liu, Yangkang Chen, 2019, Unsupervised seismic random noise attenuation based on deep convolutional neural network, IEEE Access, 7, 179810-179822.
[88] Shigang Xu, Yang Liu, 2019, Time-space-domain temporal high-order staggered-grid finite-difference schemes by combining orthogonality and pyramid stencils for 3D elastic-wave propagation, Geophysics, 84(4), T259-T282.
[89] Xin Liu, Yang Liu, Zhiming Ren, Bei Li, 2019, Perfectly matched layer boundary conditions for frequency-domain acoustic wave simulation in the mesh-free discretization, Geophysical Prospecting, 67(7), 1732-1744.
[90] Shigang Xu, Yang Liu, 2019, A rectangular staggered-grid finite-difference scheme with fourth-order temporal accuracy for pseudo-acoustic VTI modelling, Exploration Geophysics, 50(1), 94-110.
[91] Yabing Zhang, Yang Liu, Shigang Xu, 2019, Efficient modelling of optimised pure acoustic wave equation in 3D transversely isotropic and orthorhombic anisotropic media, Exploration geophysics, 50(5), 561-574.
[92] Shigang Xu, Yang Liu, 2019, Modelling 3D elastic VTI wave propagation using an optimal k-space operator-based temporal high-accuracy staggered-grid finite-difference scheme, Journal of Applied Geophysics, 170, 103847 (11 pages).
[93] Xiao Wu, Yang Liu, Yong Wang, Shigang Xu, Wanli Jia, 2019, An improved fast converted-wave imaging method, Applied Geophysics, 17(2), 171-184.
[94] Enjiang Wang, Yang Liu, Yuxin Ji, Tiansheng Chen, Tao Liu, 2019, Q full-waveform inversion based on the viscoacoustic equation, Applied Geophysics, 17(1), 77-91.
[95] Enjiang Wang, Jing Ba, Yang Liu, 2019, Temporal high-order time–space domain finite-difference methods for modelling 3D acoustic wave equation on general cuboid grids, Pure and Applied Geophysics, 176, 5391-5414.
[96] 薛浩, 劉洋, 蔡曉慧, 2019, 基于復(fù)數(shù)波場(chǎng)分解的VSP逆時(shí)偏移方法研究, 地球物理學(xué)進(jìn)展, 34(2), 649-657.
2018年
[97] Yang Liu, Mrinal K. Sen, 2018, An improved hybrid absorbing boundary condition for wave equation modeling, Journal of Geophysics and Engineering, 15(6), 2602-2613.
[98] Enjiang Wang, Yang Liu, 2018, An implicit spatial and high-order temporal finite difference scheme for 2D acoustic modelling, Exploration Geophysics, 49(2), 187-201.
[99] Bei Li, Yang Liu, Xin Liu, 2018, Hybrid absorbing boundary condition for piecewise smooth curved boundary in 2D acoustic finite-difference modeling, Exploration Geophysics, 49(4), 469-483.
[100] Shigang Xu, Yang Liu, 2018, Effective modeling and reverse-time migration for novel pure acoustic wave in arbitrary orthorhombic anisotropic media, Journal of Applied Geophysics, 150, 126-143.
[101] Xiaohui Cai, Yang Liu, Zhiming Ren, Acoustic reverse-time migration using GPU card and POSIX thread based on the optimal finite-difference scheme and hybrid absorbing boundary condition, Computers & Geosciences, 115, 42-55.
[102] Shigang Xu, Yang Liu, 2018, Pseudoacoustic tilted transversely isotropic modeling with optimal k-space operator-based implicit finite-difference schemes, Geophysics, 83(3), T139-T157.
[103] Shigang Xu, Yang Liu, 2018, 3D acoustic wave modeling with a time-space-domain temporal high-order finite-difference scheme, Journal of Geophysics and Engineering, 15(5), 1963-1976.
[104] Enjiang Wang, Jing Ba, Yang Liu, 2018, Time-space-domain implicit finite-difference methods for 2D acoustic wave equation modeling, Geophysics, 83(4), T175-T193.
[105] Enjiang Wang, Jing Ba, Yang Liu, 2018, Cross-rhombus stencil-based finite-difference methods for 2D acoustic modeling and reverse-time migration on rectangular grids, Journal of Geophysics and Engineering, 15(6), 2674-2685.
[106] 徐世剛, 劉洋, 2018, 基于優(yōu)化有限差分和混合吸收邊界條件的三維VTI介質(zhì)聲波和彈性波數(shù)值模擬, 地球物理學(xué)報(bào), 61(7), 2950-2968.
[107] Hao Xue, Yang Liu, 2018, Reverse-time migration using multidirectional decomposition method, Applied Geophysics, 15(2), 222-233.
[108] 吳瀟, 劉洋, 蔡曉慧, 2018, 彈性波波場(chǎng)分離方法對(duì)比及其在逆時(shí)偏移成像中的應(yīng)用, 石油地球物理勘探, 53(4), 710-721.
[109] 薛浩, 劉洋, 2018, 基于優(yōu)化時(shí)空域頻散關(guān)系的聲波方程有限差分最小二乘逆時(shí)偏移, 石油地球物理勘探, 53(4), 745-753.
[110] Shigang Xu, Yang Liu, 2018, Modeling and RTM for arbitrary-order pure acoustic wave equation in VTI media using normalized pseudo-analytical method, Earthquake Science, 31(2), 83-91.
2017年
[111] Zhiming Ren, Yang Liu, Mrinal K. Sen, 2017, Least-squares reverse time migration in elastic media, Geophysical Journal International, 208(2), 1103-1125.
[112] Bei Li, Yang Liu, Mrinal K. Sen, Zhiming Ren, 2017, Time-space-domain mesh-free finite-difference based on least-squares for 2D acoustic wave modeling, Geophysics, 82(4), T143-T157.
[113] Enjiang Wang, Yang Liu, 2017, The hybrid absorbing boundary condition for one-step extrapolation and its application in wavefield decomposition-based reverse time migration, Journal of Geophysics and Engineering, 14(5), 1177-1188.
[114] Zhiming Ren, Zhenchun Li, Yang Liu, Mrinal K. Sen, 2017, Modeling of the Acoustic Wave Equation by Staggered-Grid Finite-Difference Schemes with High-Order Temporal and Spatial Accuracy, Bulletin of the Seismological Society of America, 107(9), 2160-2182.
[115] Xin Liu, Yang Liu, Zhiming Ren, Bei Li, Shigang Xu, Lekai Zhou, 2017, Hybrid absorbing boundary condition for three-dimensional elastic wave modeling, Applied Geophysics, 14(2), 270-278.
[116] 鐘晗, 劉洋, 2017, 頻變AVO影響因素研究, 石油地球物理勘探, 52(4), 783-796.
2016年
[117] Zhiming Ren, Yang Liu, 2016, A hierarchical elastic full-waveform inversion scheme based on wavefield separation and the multistep-length approach, Geophysics, 81(3), R99-R123.
[118] Enjiang Wang, Yang Liu, Mrinal K. Sen, 2016, Effective finite-difference modelling methods with 2-D acoustic wave equation using a combination of cross and rhombus stencils, Geophysical Journal International, 206(3), 1933-1958.
[119] Wei Liu, Siyuan Cao, Yang Liu, Yangkang Chen, 2016, Synchrosqueezing transform and its applications in seismic data analysis, Journal of Seismic Exploration, 25(3), 27-44.
2015年
[120] Zhiming Ren, Yang Liu, 2015, Acoustic and elastic modeling by optimal time-space domain staggered-grid finite-difference schemes, Geophysics, 80(1), T17-T40.
[121] Zhiming Ren, Yang Liu, 2015, Elastic full waveform inversion using the second generation wavelet and an adaptive operator length scheme, Geophysics, 80(4), R155-R174.
[122] Li Guofa, Yang Liu, Hao Zheng, Wei Huang, 2015, Absorption decomposition and compensation via a two-step scheme Geophysics, 80(6), V145-V155.
[123] Yang Liu, Guangyi Hu, Ting’en Fan, 2015, Suppression of strong scattered tube waves using the transverse component, Journal of Applied Geophysics, 112, 226-235.
[124] Xi Zhang, Yang Liu, Xiaohui Cai, Zhiming Ren, 2015, The AWWE-based hybrid absorbing boundary condition for finite-difference modeling and its application in reverse-time migration, Journal of Applied Geophysics, 123, 93-101.
[125] 蔡曉慧，劉洋，王建民，王維紅，任志明, 2015, 基于自適應(yīng)優(yōu)化有限差分方法的全波VSP逆時(shí)偏移, 地球物理學(xué)報(bào), 58(9), 3317-3334.
[126] Xiaohui Cai, Yang Liu, Zhiming Ren, Jianmin Wang, Zhide Chen, Keyang Chen, Cheng Wang, 2015, 3D acoustic wave equation modeling based on an optimal finite-difference scheme, Applied Geophysics, 12(3), 409-420.
