Center for Cyber-Physical Systems; University of Georgia, Athens, GA 30602, USA.
Division of Math and Computer Science, University of South Carolina Upstate, Spartanburg, SC 29303, USA.
Sensors (Basel). 2019 Jan 14;19(2):301. doi: 10.3390/s19020301.
In this article, the framework and architecture of a Subsurface Camera (SAMERA) are envisioned and described for the first time. A SAMERA is a geophysical sensor network that senses and processes geophysical sensor signals and computes a 3D subsurface image in situ in real time. The basic mechanism is geophysical waves propagating/reflected/refracted through subsurface enter a network of geophysical sensors, where a 2D or 3D image is computed and recorded; control software may be connected to this network to allow view of the 2D/3D image and adjustment of settings such as resolution, filter, regularization, and other algorithm parameters. System prototypes based on seismic imaging have been designed. SAMERA technology is envisioned as a game changer to transform many subsurface survey and monitoring applications, including oil/gas exploration and production, subsurface infrastructures and homeland security, wastewater and CO₂ sequestration, and earthquake and volcano hazard monitoring. System prototypes for seismic imaging have been built. Creating SAMERA requires interdisciplinary collaboration and the transformation of sensor networks, signal processing, distributed computing, and geophysical imaging.
本文首次提出了地下摄像仪（SAMERA）的框架和架构。SAMERA 是一种地球物理传感器网络，用于感知和处理地球物理传感器信号，并实时原位计算 3D 地下图像。其基本机制是地下传播/反射/折射的地球物理波进入地球物理传感器网络，在那里计算和记录 2D 或 3D 图像；控制软件可以连接到该网络，以允许查看 2D/3D 图像，并调整分辨率、滤波器、正则化等算法参数。已经设计了基于地震成像的系统原型。SAMERA 技术有望成为改变许多地下勘测和监测应用的游戏规则改变者，包括石油/天然气勘探和生产、地下基础设施和国土安全、废水和 CO₂ 封存以及地震和火山灾害监测。已经构建了用于地震成像的系统原型。创建 SAMERA 需要跨学科合作以及对传感器网络、信号处理、分布式计算和地球物理成像的改造。
