煤层厚度是煤矿采区规划、采煤方式选择以及煤矿储量估算的重要依据，工作面煤厚的精细探测更是构建透明地质、实现精准开采的前提和基础。槽波作为煤层中的导波被广泛应用于煤矿工作面构造和煤厚的探查，本研究旨在探讨利用透射Love槽波速度反演方法解释工作面煤厚的可行性及有效性，利用数值模拟和实地地震勘探数据，研究了均匀煤厚和煤厚变化模型的Love型槽波频散特征，实现了对工作面煤厚变化的解释，验证了透射Love槽波速度反演方法的准确性和可靠性。研究取得主要成果如下：

根据Love槽波的频散曲线方程，通过对比相速度和群速度的频散曲线得出相速度随煤厚变化幅度更大，在煤厚反演具有优势；

通过数值模拟分析了煤厚变化对Love型槽波频率、速度的影响规律：Love型槽波形成后，在煤厚较大的区域传播时，其频率变动范围相对较小，能量损耗过程较为平缓。相反，当它向薄煤层区域前进时，能量迅速减弱，主要频率趋向于更高值，同时高频率成分的比例显著增加。Love型槽波在传播过程中，其频散特性会受到煤层厚度的影响，厚煤区槽波的频散在频率上被压缩，随着接收点煤层厚度的减小，槽波频段变宽，在频率上被拉伸，且埃里相的频率向高频移动，埃里相的群速度显著升高，槽波的频散越来越明显；

（3）对数值模拟数据和井下实测数据进行了速度层析成像，分别采用了理论计算和实际揭露煤厚数据拟合的方法预测了模型和工作面的煤厚。

The thickness of coal seam is an important basis for the planning of coal mining area, the selection of coal mining methods and the estimation of coal reserves. The fine detection of coal thickness in working face is the premise and foundation for building transparent geology and realizing accurate mining. As a guided wave in coal seam, in-seam wave is widely used in the exploration of coal face structure and coal thickness. The purpose of this study is to explore the feasibility and effectiveness of using the transmission Love in-seam wave velocity inversion method to explain the coal thickness of the working face. Using numerical simulation and field seismic exploration data, the Love-type in-seam wave dispersion characteristics of uniform coal thickness and coal thickness change model are studied, and the interpretation of coal thickness change in working face is realized. The accuracy and reliability of the transmission Love in-seam wave velocity inversion method are verified. The main results of the study are as follows :

( 1 ) According to the dispersion curve equation of Love in-seam wave, by comparing the dispersion curves of phase velocity and group velocity, it is concluded that the phase velocity varies more with coal thickness, which has advantages in coal thickness inversion;

( 2 ) The influence of coal thickness on the frequency and velocity of Love-type in-seam wave is analyzed by numerical simulation. After the formation of Love-type in-seam wave, the frequency variation range is relatively small and the energy loss process is relatively gentle when it propagates in the area with large coal thickness. On the contrary, when it advances to the thin coal seam area, the energy decreases rapidly, the main frequency tends to be higher, and the proportion of high frequency components increases significantly. In the propagation process of Love-type in-seam wave, its dispersion characteristics will be affected by the thickness of coal seam. The dispersion of in-seam wave in thick coal area is compressed in frequency. With the decrease of the thickness of coal seam at the receiving point, the frequency band of in-seam wave becomes wider and stretched in frequency, and the frequency of Airy phase moves to high frequency. The group velocity of Airy phase increases significantly, and the dispersion of in-seam wave becomes more and more obvious;

( 3 ) The velocity tomography was carried out on the numerical simulation data and the underground measured data, and the coal thickness of the model and the working face was predicted by the theoretical calculation and the actual exposed coal thickness data fitting method.

[1]刘钢. 槽波预测煤层赋存状态的技术与应用[D]. 徐州, 中国矿业大学, 2022.

[2]吴楠. 中国煤炭产业发展现状分析[J]. 中外企业家, 2019(23): 3.

[3]彭苏萍, 张博, 王佟. 我国煤炭资源“井”字形分布特征与可持续发展战略[J]. 中国工程科学, 2015, 17(09): 29-35.

[4]彭苏萍. 我国煤矿安全高效开采地质保障系统研究现状及展望[J]. 煤炭学报, 2020, 45(7): 2331-2345.

[5]王双明, 孙强, 乔军伟, 等. 论煤炭绿色开采的地质保障[J]. 煤炭学报, 2020, 45(1): 8-15.

[6]袁亮, 张平松. 煤炭精准开采透明地质条件的重构与思考[J]. 煤炭学报, 2020, 45(7): 2346-2356.

[7]王国法, 赵国瑞, 任怀伟. 智慧煤矿与智能化开采关键核心技术分析[J]. 煤炭学报, 2019, 44(1): 34-41.

[8]程建远, 金丹, 覃思. 煤矿地质保障中地球物理探测技术面临的挑战[J]. 煤炭科学技术, 2013, 41(09): 112-116.

[9]崔伟雄, 王保利, 王云宏. 基于透射槽波的工作面煤层厚度高精度反演方法[J]. 煤炭学报, 2020, 45(7): 2482-2490.

[10]王康, 廉洁, 张万鹏, 等, 极不稳定煤层槽波地震勘探技术[J]. 煤矿安全, 2015, 46(09): 86-89.

[11]程建远, 刘文明, 朱梦博, 等. 智能开采透明工作面地质模型梯级优化试验研究[J]. 煤炭科学技术, 2020,48 (7): 118-126.

[12]李启成, 郭雷, 孙颍川. 地震属性融合技术在煤层厚度预测中的研究[J]. 地球物理学发展, 2017, 32(5): 2014-2020.

[13]蒋必辞, 程建远, 李萍, 等. 基于钻孔雷达的透明工作面构建方法[J]. 煤田地质与勘探, 2022, 50(1): 128-135.

[14]Tuo Lu, Shengdong Liu, Bo Wang et al. A Review of Geophysical Exploration Technology for Mine Water Disaster in China: Applications and Trends.Mine Water Environ[J]. 2017, 36: 331-340.

[15]程建远, 刘文明, 朱梦博, 等. 智能开采透明工作面地质模型梯级优化试验研究[J]. 煤炭科学技术, 2020,48 (7): 118-126.

[16]李启成, 郭雷, 孙颍川. 地震属性融合技术在煤层厚度预测中的研究[J]. 地球物理学发展, 2017, 32(5): 2014-2020.

[17]蒋必辞, 程建远, 李萍, 等. 基于钻孔雷达的透明工作面构建方法[J]. 煤田地质与勘探, 2022, 50(1): 128-135.

[18]程建远, 朱梦博, 崔伟雄, 等. 回采工作面递进式煤厚动态预测试验研究[J]. 煤炭科学技术, 2019, 47.

[19]白永利,王云龙,张鹏.无线电波透视技术在探查隐伏地质构造中的应用[J].煤炭技术,2015,34(10):107-109.

[20]李刚. 煤矿井下工作面内隐伏断层透射槽波探测技术[J]. 煤田地质与勘探, 2016, 44(05): 142-145.

[21]Evison F. A Coal Seam as a Guide for Seismic Energy[J]. Nature, 1955,176:1224-1225.

[22]Krey T C. Channel waves as a tool of applied geophysics in coal mining: IEEE International Symposium on Industrial Electronics, 1963[C].

[23]Asten M W, Drake L A, Edwards S. In-seam seismic Love wave scattering modeled by the finite element method[J]. Geophysical Prospecting, 1984,32(4):649-661.

[24]Rader, Schott W, Dresen L, et al. Calculation of Dispersion Curves and Amplitude-depth Distributions of Love Channel Waves in Horizontally-layered Media[J].Geophysical Prospecting,1985,33(6):800-816.

[25]Krajewski P, Dresen L, Schott W, et al. Studies of roadway modes in a coal seams by dispersion and polarisation analysis: a case history[J]. Geophysical Prospecting, 1987, 35(7): 767-786.

[26]Cox, K.B. and Mason, I. Velocity analysis of the SH-channel wave in the Schwalbach seam at Ensdorf colliery[J]. Geophysical Prospecting,1988,36:298-317.

[27]Liu. Modelling channel waves with synthetic seismograms in an anisotropic in-seam seismic survey[J]. Geophysical Prospecting, 1991,40(5):13-540.

[28]杨文强. 槽波地震勘探的数学模型研究[J]. 地质与勘探, 2001, 37(03): 58-60.

[29]杨真, 冯涛. 0.9 m薄煤层SH型槽波频散特征及波形模式[J]. 地球物理学报, 2010, 53(02): 442-449.

[30]Li Donghui. Application of micro-seismic facies to coal bed methaneexploration[J]. Mining Science and Technology, 2011, 21(05): 743-747.

[31]王伟, 滕吉文, 乐勇, 等. 槽波探测研究进展与成效[C]. 中国地球物理学会. 中国地球物理2012. 中国科学技术大学出版社, 2012: 465.

[32]钱建伟, 李德春. Love型槽波的基本特性研究[J]. 中国煤炭地质, 2013, 25(09): 52-54.

[33]Yang X H, Cao S Y, Li D C, et al. Analysis of quality factors for Rayleigh channel waves[J]. Applied Geophysics, 2014,11(1):107-114.

[34]He W X, Ji G Z, Dong S H, et al.Theoretical basis and application of vertical Z-component in-seam wave exploration[J].Journal of Applied Geophysics, 2017, 138(3): 91-101

[35]乔勇虎, 滕吉文. 煤层厚度变化时地震槽波理论频散曲线计算方法及频散特征分析[J]. 地球物理学报, 2018, 61(8): 3374-3384．

[36]Ji G Z, Li H, Wei J C, et al. Preliminary study on wave field and dispersion characteristics of channel waves in VTI coal seam media[J]. Acta Geophysica, 2019, 67(5): 1379-1390

[37]Krey T, Arnetzb H, and Knecht M. Theoretical and practical aspects of absorption in the application of in-seam seismic coal exploration[J]. Geophysics, 1982, 47(12): 1645-1656.

[38]姬广忠, 程建远, 朱培民, 李辉. 煤矿井下槽波三维数值模拟及频散分析[J]. 地球物理学报, 2012, 55(2): 645-654.

[39]皮娇龙,滕吉文,刘有山.地震槽波的数学-物理模拟初探[J]. 地球物理学报, 2018.61(6): 2481-2493.

[40]Yang Si-tong,Wei jiu-Chuan,Cheng jiu-Long,Shi .Numerical simulations of full-wave fields and analysis of channel wave characteristics in 3D coal mine roadway models[J]. Applied Geophysics, 2016, 13(4): 621-630.

[41]何文欣. 工作面断层的三维槽波波场模拟与探测方法研究[D]. 徐州,中国矿业大学, 2017.

[42]姬广忠, 吴荣新, 张平松, 等. 黏弹TI煤层介质3层模型Love槽波频散与衰减特征[J]. 煤炭学报, 2021, 46 (2): 566-577.

[43]刘盛东, 章俊, 李纯阳, 等. 矿井多波多分量地震方法与试验[J]. 煤炭学报, 2019, 44(1): 271-277.

[44]路拓, 侯恩科, 牛超等. 基于Love型槽波频散特性的工作面煤厚解释方法[J]. 煤炭学报, 2022, 47(8): 2992-3000.

[45]胡国泽, 滕吉文, 皮娇龙, 等. 井下槽波地震勘探-预防煤矿灾害的一种地球物理方法[J]. 地球物理学进展, 2013,28(01):439-451.

[46]乐勇, 王伟, 申青春, 等. 槽波地震勘探技术在工作面小构造探测中的应用[J].煤田地质与勘探, 2013, 41(04): 74-77.

[47]任亚平. 槽波地震勘探在煤矿大型工作面的应用[J]. 煤田地质与勘探, 2015, 43(03): 102-104.

[48]程建远, 聂爱兰, 张鹏. 煤炭物探技术的主要进展及发展趋势[J]. 煤田地质与勘探, 2016, 44(06): 136-141.

[49]王季, 李刚, 吴国庆, 等. 采煤工作面地质异常体透射槽波探测技术[J].煤炭科学技术, 2016, 44(06):159-163.

[50]王保利, 金丹. 矿井槽波地震数据处理系统Geo Coal软件开发与应用[J]. 煤田地质与勘探, 2019, 47(01): 174-180.

[51]苏晓云. 我国主要矿区典型煤层槽波赋存发育特征研究[J]. 煤炭工程, 2020, 52(10): 137-142.

[52]崔伟雄, 王保利, 王云宏. 基于透射槽波的工作面煤层厚度高精度反演方法[J]. 煤炭学报, 2020, 45(7): 2482-2490.

[53]吴国庆, 马彦龙. 地质透明化工作面内多种异常体的槽波解释方法研究[J]. 煤炭科学技术, 2021: 1-13.

[54]王勃,孙华超,李兴兴,等. CO2集中力源的地震波场特征及应用[J].煤炭学报,2021,46(2):556- 565.

[55]胡泽安, 曹凌铠, 刘钦节, 等. 天然源槽波勘探的可行性研究[J]. 煤田地质与勘探, 2023（网络首发）

[56]乐勇, 王伟, 申青春, 等. 槽波地震勘探技术在工作面小构造探测中的应用[J].煤田地质与勘探, 2013, 41(04): 74-77.

[57]申青春, 杨参参等. 透射法槽波地震勘探技术在工作面探测中的应用研究[J]. 能源与环保, 2015, 105(07): 1441-1443.

[58]李刚. 煤层厚度变化的透射槽波探测技术[J]. 采矿与岩层控制工程学报[J], 2016, 21(05): 11-13.

[59]李松营, 廉洁, 滕吉文等. 基于槽波透射法的采煤工作面煤厚解释技术[J].煤炭学报, 2017, 42(03):7 19-725.

[60]乔勇虎, 滕吉文. 煤层厚度变化时地震槽波理论频散曲线计算方法及频散特征分析[J]. 地球物理学报, 2018, 61(8): 3374-3384．

[61]李刚. 澄合矿区采煤工作面不良地质体透射槽波波场响应及应用研究[D]， 西安, 西安科技大学. 2023.