Seismic ground-roll noise attenuation using deep learning     

Harpreet Kaur  Sergey Fomel  Nam Pham 《Geophysical Prospecting》2020,68(7):2064-2077

We propose to adopt a deep learning based framework using generative adversarial networks for ground-roll attenuation in land seismic data. Accounting for the non-stationary properties of seismic data and the associated ground-roll noise, we create training labels using local time–frequency transform and regularized non-stationary regression. The basic idea is to train the network using a few shot gathers such that the network can learn the weights associated with noise attenuation for the training shot gathers. We then apply the learned weights to test ground-roll attenuation on shot gathers, that are not a part of training input to obtain the desired signal. This approach gives results similar to local time–frequency transform and regularized non-stationary regression but at a significantly reduced computational cost. The proposed approach automates the ground-roll attenuation process without requiring any manual input in picking the parameters for each shot gather other than in the training data. Tests on field-data examples verify the effectiveness of the proposed approach.  相似文献   

Simultaneous water and vapour transfer in an unsaturated mudstone in badlands terrain,southwestern Taiwan     

Kohei Higuchi  Masahiro Chigira  Der-Her Lee  Jian-Hong Wu 《地球表面变化过程与地形》2020,45(13):3323-3335

The simultaneous transfer of pore fluid and vapour was studied in the unsaturated shallow subsurface of a Plio-Pleistocene marine mudstone badland slope in southwestern Taiwan during the dry season using field monitoring data and numerical simulations. Data from field monitoring show mass-basis water contents of ~0.05 to ~0.10 that decrease towards the unsaturated ground surface and were invariant during the middle part of the dry season, except for daily fluctuations. In addition, the observed daily fluctuations in water content correlate with fluctuations in bedrock temperature, especially at depths of 2.5–5.0 cm. Periodic increases in water content occurred most notably during the day, when the bedrock temperature showed the greatest increase. Water contents then decreased to the previous state as bedrock temperature decreased during the night. Calculated vapour fluxes within the mudstone during the day increased up to 6 × 10⁻⁶–1 × 10⁻⁵ kg m⁻² s⁻¹, deriving a 0.01–0.02 increase in mass-basis water content at 2.5 cm depth for a 12-h period. This agrees with field monitoring data, suggesting that increases in water content occurred due to vapour intrusions into the bedrock. Pore water electrical conductivity (EC) showed periodic variations due to vapour intrusion, and gradually increased between the ground surface and depths of 2.5–5.0 cm. In contrast, pore water EC gradually decreased between 15 and 40 cm depth. Calculated water fluxes at depths of 2.5–40.0 cm varied from −4 × 10⁻⁶ to −2 × 10⁻⁹ kg m⁻² s⁻¹. These fluxes generated an increase in solute concentrations at the ground surface, with negative values of water flux indicating an upwards movement of water towards the surface. We show that the increase in solute content due to solute transfer from depth is highly dependent on variations in water flux with depth. © 2020 John Wiley & Sons, Ltd.  相似文献   

基于像元二分模型的地表植被覆盖度估算模块化设计与实现     

赵威成  张红华  马福义  叶欣 《北京测绘》2020,(3):285-288

地表植被覆盖度是的一种应用广泛的定量遥感产品,在水文、生态、区域变化等方面都具有重要的意义。像元二分模型是应用最多的一种遥感估算地表覆盖度的方法。目前,用遥感的方法进行地表植被覆盖度估算没有完整、系统的工具,用户只能逐步进行操作,效率低下,鉴于上述情况,本文运用IDL交互式数据语言,基于ENVI二次开发了一个植被覆盖度估算程序,取得了一定的成效,对遥感定量产品的生产、应用具有一定意义。  相似文献   

微型全极化SAR海洋监测应用技术研究     

王军锋  乔明  刘子畅  吕大勇 《测绘与空间地理信息》2020,(2):88-90

我国作为海洋大国,近年来海洋事业进入快速发展时期,合成孔径雷达以其自身的技术特点在海洋遥感监测中发挥了重要的作用。在以往的海洋监测中大多采用星载合成孔径雷达获取海洋数据,但因星载SAR受到卫星搭载平台和运行轨道等因素影响,对局部地区高时效的数据获取还存在一定的制约因素。本文通过对无人机机载微型全极化合成孔径雷达对海岸带、海岛礁、海洋动目标高分辨率成像和应用分析研究,为无人机机载SAR在海洋监测中的应用提供了全新的技术手段。  相似文献   

分布式光纤声波传感器及其在天然地震学研究中的应用     

张丽娜  任亚玲  林融冰  宋政宏  曾祥方 《地球物理学进展》2020,(1):65-71

分布式光纤声波传感器(Distributed Acoustic Sensing,DAS)是近年来兴起的超密集地震观测系统,具有一系列观测密度高、观测成本低、耐受恶劣环境等优势,在油气行业得到了广泛应用,也引起了天然地震学界的关注.本文简要回顾了DAS系统的测量原理、发展历程、技术方案、介绍了测量原理及其响应特性,然后围绕多个观测实验,介绍浅部结构成像、深部结构探测和地震监测三个方向的典型应用实例,最后讨论了DAS系统在天然地震学研究中应用面临的挑战和发展趋势.  相似文献   

基于Android平台的分布式无线微震采集站布站与监控软件研究与实现     

刘诗扬  张启升  张启卯  乔帅卿  晏使楚  李文豪  郭丰  汪永青  衡星  柯振  张璇 《地球物理学进展》2020,(1):331-338

由于地震勘探仪器呈现小型化、无线化、智能化发展趋势,传统操作平台无法满足便携式勘探仪器使用需要.因此本文利用Android移动设备便携性、普及性高,用户基础好的特点,实现了基于Android平台的无线微震采集站布站与监控软件.该软件在大范围野外施工中,为施工人员提供包括定位、测距、测角、网络监测等全程可视化布站功能,同时提供监测施工中小型、大型微震采集站阵列实时网络情况,以及采集站状态的智能控制、数据实时监控等功能.经过施工测试,软件稳定性好、便携性高,极大提高野外施工效率.  相似文献   

基于钻进状态监测的智能工况识别          下载免费PDF全文

范海鹏  吴敏  曹卫华  赖旭芝  陈略峰  陆承达 《探矿工程》2020,47(4):106-113

钻进过程状态监测旨在实时描述钻进工况，判断运行性能优劣程度进行非优追溯，及时指导司钻人员调整作业操作,保证钻进过程安全、高效、稳定开展。钻进工况是钻进系统运行状态的反映，因此开展面向状态监测技术的钻进工况识别研究具有重要的理论和应用价值。本文针对钻进工况识别问题，基于状态监测数据，建立基于支持向量机的钻进工况识别模型，对钻进工况进行识别。综合工况识别结果，对钻进效率进行评估，并对影响钻进效率的因素进行讨论，寻找提升钻进效率的手段。最后，采用钻进现场实钻数据进行仿真实验,验证所提方法的可行性和有效性。  相似文献   

地震台阵监测能力综述     

郝春月  郑重 《地震地磁观测与研究》2020,41(6):3-14

根据各大网站地震目录和前人研究成果，分析全球地震台网与地震台阵、我国区域台网与地震台阵的监测能力，阐述了地震台阵与密集台网/台阵的区别。研究表明，对同一地区所检测的地震数，地震台阵是地震台网的3-10倍，而震级下限可降低1.2-2级。一般情况下，以微弱信号检测为目的的地震台阵监测能力均优于以结构研究为目的的密集台网/台阵，2种台阵是目的、性质、孔径、形状、台间距、技术手段、研究方法均不同的监测系统。  相似文献   

长河坝—黄金坪水库区域地震台网监测能力分析     

杜瑶  吴彤  冯薪  丁勇  赵昱  郑昭  王宇玺  王余伟 《地震地磁观测与研究》2020,41(5):25-32

位于四川省甘孜藏族自治州康定市内大渡河干流的长河坝-黄金坪水电站，为大渡河流域开发中，以长河坝、大岗山、瀑布沟等形成主要梯级格局开发方案中，"三库22级"水电站中的第10和11级电站，其地震监测台网也采用梯级设计方式，长河坝-黄金坪上下游水库地震监测台网统一设计、建设及监测，共享同一地震监测能力。通过对监测设备的技术指标、台基地噪声水平和震级-频度对数关系的分析，结果表明，长河坝-黄金坪水库区域地震固定台站建成后，地震监测能力达到并优于设计的理论监测能力，地震监测震级达到下限为M_L 0.5的设计要求。  相似文献   

Research note: deblended-data reconstruction using generalized blending and deblending models     

Tomohide Ishiyama  Mohammed Y. Ali  Satoshi Ishikawa  Gerrit Blacquiere  Shotaro Nakayama 《Geophysical Prospecting》2019,67(7):1852-1866

We introduce a concept of generalized blending and deblending, develop its models and accordingly establish a method of deblended-data reconstruction using these models. The generalized models can handle real situations by including random encoding into the generalized operators both in the space and time domain, and both at the source and receiver side. We consider an iterative optimization scheme using a closed-loop approach with the generalized blending and deblending models, in which the former works for the forward modelling and the latter for the inverse modelling in the closed loop. We applied our method to existing real data acquired in Abu Dhabi. The results show that our method succeeded to fully reconstruct deblended data even from the fully generalized, thus quite complicated blended data. We discuss the complexity of blending properties on the deblending performance. In addition, we discuss the applicability to time-lapse seismic monitoring as it ensures high repeatability of the surveys. Conclusively, we should acquire blended data and reconstruct deblended data without serious problems but with the benefit of blended acquisition.  相似文献