用卫星图像定位油井，解决甲烷泄漏难题
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
- 基于行星实验室多光谱影像构建大规模油井数据集
- 覆盖超21万口井，包含活跃、停用与废弃井
- 为遥感探测废弃油井提供首个基准测试平台
全球数百万废弃油井散落各地，持续向大气排放甲烷，向地下水渗漏有毒物质，许多位置未知，难以封堵。遥感技术在大规模定位废弃油井方面仍属空白。本文引入首个大规模基准数据集，利用行星实验室的中分辨率多光谱卫星影像，整合阿尔伯塔省超过213,000口油井（包括活跃、停用与废弃）信息，数据来自阿尔伯塔能源监管局，并经领域专家验证。我们评估了基础的检测与分割算法，表明计算机视觉方法具有潜力，但仍有显著提升空间。
原文摘要 · Abstract (English)
Millions of abandoned oil and gas wells are scattered across the world, leaching methane into the atmosphere and toxic compounds into the groundwater. Many of these locations are unknown, preventing the wells from being plugged and their polluting effects averted. Remote sensing is a relatively unexplored tool for pinpointing abandoned wells at scale. We introduce the first large-scale benchmark dataset for this problem, leveraging medium-resolution multi-spectral satellite imagery from Planet Labs. Our curated dataset comprises over 213,000 wells (abandoned, suspended, and active) from Alberta, a region with especially high well density, sourced from the Alberta Energy Regulator and verified by domain experts. We evaluate baseline algorithms for well detection and segmentation, showing the promise of computer vision approaches but also significant room for improvement.
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