Determination of the local magnitudes of small earthquakes using a dense seismic array in the Changning–Zhaotong Shale Gas Field, Southern Sichuan Basin

IF 2.9 3区 地球科学 Earth and Planetary Physics Pub Date : 2021-12-21 DOI:10.26464/epp2021026
Wen Yang, GuoYi Chen, LingYuan Meng, Yang Zang, HaiJiang Zhang, JunLun Li
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引用次数: 5

Abstract

With the development of unconventional shale gas in the southern Sichuan Basin, seismicity in the region has increased significantly in recent years. Though the existing sparse regional seismic stations can capture most earthquakes with , a great number of smaller earthquakes are often omitted due to limited detection capacity. With the advent of portable seismic nodes, many dense arrays for monitoring seismicity in the unconventional oil and gas fields have been deployed, and the magnitudes of those earthquakes are key to understand the local fault reactivation and seismic potentials. However, the current national standard for determining the local magnitudes was not specifically designed for monitoring stations in close proximity, utilizing a calibration function with a minimal resolution of 5 km in the epicentral distance. That is, the current national standard tends to overestimate the local magnitudes for stations within short epicentral distances, and can result in discrepancies for dense arrays. In this study, we propose a new local magnitude formula which corrects the overestimated magnitudes for shorter distances, yielding accurate event magnitudes for small earthquakes in the Changning−Zhaotong shale gas field in the southern Sichuan Basin, monitored by dense seismic arrays in close proximity. The formula is used to determine the local magnitudes of 7,500 events monitored by a two-phased dense array with several hundred 5 Hz 3C nodes deployed from the end of February 2019 to early May 2019 in the Changning−Zhaotong shale gas field. The magnitude of completeness () using the dense array is −0.1, compared to 1.1 by the sparser Chinese Seismic Network (CSN). In addition, using a machine learning detection and picking procedure, we successfully identify and process some 14,000 earthquakes from the continuous waveforms, a ten-fold increase over the catalog recorded by CSN for the same period, and the is further reduced to −0.3 from −0.1 compared to the catalog obtained via manual processing using the same dense array. The proposed local magnitude formula can be adopted for calculating accurate local magnitudes of future earthquakes using dense arrays in the shale gas fields of the Sichuan Basin. This will help to better characterize the local seismic risks and potentials.

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川南长宁—昭通页岩气田小地震密集阵的局地震级测定
随着四川盆地南部非常规页岩气的开发,近年来该地区地震活动性明显增加。虽然现有的稀疏区域地震台站可以捕捉到大部分的地震,但由于探测能力有限,往往忽略了大量较小的地震。随着便携式地震节点的出现,在非常规油气田中部署了许多密集的地震活动监测阵列,而这些地震的震级是了解当地断层再活动和地震潜力的关键。然而,目前确定当地震级的国家标准并不是专门为近距离的监测站设计的,而是利用震中距离最小分辨率为5公里的校准功能。也就是说,目前的国家标准倾向于高估震中距离较短的台站的当地震级,并可能导致密集阵列的差异。在这项研究中,我们提出了一个新的局地震级公式,该公式在较短的距离上修正了高估的震级,得到了四川盆地南部长宁-昭通页岩气田小地震的准确事件震级,并通过近距离密集地震阵列进行了监测。该公式用于确定2019年2月底至2019年5月初在长宁-昭通页岩气田部署的数百个5hz 3C节点的两相密集阵列监测的7500个事件的局部震级。密集阵列的完备度()震级为−0.1,而稀疏中国地震台网(CSN)的完备度为1.1。此外,使用机器学习检测和挑选程序,我们成功地从连续波形中识别和处理了大约14,000次地震,比CSN同期记录的目录增加了十倍,并且与使用相同密集阵列进行人工处理获得的目录相比,进一步从−0.1降至−0.3。本文提出的局地震级公式可用于四川盆地页岩气田致密阵列计算未来地震的精确局地震级。这将有助于更好地描述当地地震的风险和潜力。
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Earth and Planetary Physics
Earth and Planetary Physics GEOSCIENCES, MULTIDISCIPLINARY-
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17.20%
发文量
174
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