Baruah Santanu, Niyogi Shankho, Ghosh Abhijit, Piccinini Davide, Saccorotti Gilberto, Kafka Alan L, Roth Danica, Yadava Mahendra Kumar, Phukan Manoj K, Sastry G Narahari, Abdelwahed Mohamed F, Kayal J R, Bhattacharyya Sausthov M, Dey Chandan, Gogoi Kimlina, Chetia Timangshu, Borthakur Prachurjya, D'Amico Sebastiano, Dutta Nandita, Saikia Sowrav
CSIR-North East Institute of Science and Technology, Jorhat, Assam, 785006, India.
Academy of Scientific and Innovative Research, Ghaziabad, Uttar Pradesh, 201 002, India.
Sci Rep. 2024 Oct 15;14(1):24108. doi: 10.1038/s41598-024-74428-y.
Characterization of a productive oil/gas well blowout through seismological methods is relatively uncommon. In this paper, we conduct an in-depth seismic evaluation of one of the world's most significant onshore oil well blowout incidents, which occurred in 2020 at the Baghjan oil field in Assam, northeast India. We show that the blowout and related on-site activities generated distinct signals that can be distinguished by their spectral characteristics, temporal variation in geometric spreading, and sharp attenuation of daytime noise in comparison to the nighttime. A micro-earthquake potentially triggered by the blowout was also detected. Furthermore, we show how seismic data can be used to reasonably estimate blowout gas exit velocity and flame height. Our results demonstrate that a detailed characterization and spatiotemporal variation of blowout activity can be successfully captured through seismic monitoring, opening new opportunities for hazard mitigation and cost-effective disaster management for such catastrophic events.
通过地震学方法对高产油气井井喷进行表征的情况相对少见。在本文中,我们对世界上最重大的陆上油井井喷事件之一进行了深入的地震评估,该事件于2020年发生在印度东北部阿萨姆邦的巴格詹油田。我们表明,井喷及相关现场活动产生了独特的信号,这些信号可以通过其频谱特征、几何扩散的时间变化以及与夜间相比白天噪声的急剧衰减来区分。还检测到了一次可能由井喷引发的微地震。此外,我们展示了如何利用地震数据合理估算井喷气体出口速度和火焰高度。我们的结果表明,通过地震监测可以成功捕捉到井喷活动的详细特征和时空变化,为减轻此类灾难性事件的危害和进行具有成本效益的灾害管理开辟了新机会。