地面微地震监测采集观测系统定位精度的影响因素分析——以大庆SZ探区为例

2018年 57卷 第No. 5期
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Analysis of location precision factors in surface microseismic monitoring acquisition geometry:A case study of an SZ exploration area in Daqing,China
(1.大庆油田有限责任公司勘探开发研究院,黑龙江大庆163712;2.大庆油田有限责任公司采油工程研究院,黑龙江大庆163453;3.东北石油大学地球科学学院,黑龙江大庆163318)
(1.Research Institute of Exploration and Development,Daqing Oilfield Company Ltd.,Daqing 163712,China; 2.Research Institute of Production Engineering,Daqing Oilfield Company Ltd.,Daqing 163453,China; 3.School of Earth Sciences,Northeast Petroleum University,Daqing 163318,China)

为了确定适合的地面微地震观测方式,利用大庆探区实际水平井的相关参数和地面监测采集的噪声资料,通过正演模拟合成数据方式,研究了目前常用的地面微地震监测观测系统的震源定位能力和精度影响因素。研究结果表明,在相同噪声水平下星型排列对微地震事件的定位能力与精度最佳;随着接收道数增多、接收孔径增大,星型观测系统适应噪声能力增强,定位精度提高,106道的星型观测系统可用于压裂裂缝成像监测。同时,研究结果也显示,基于校验信号源优化速度模型及合理的噪声压制处理技术能显著提高定位精度,对地面微地震监测很有必要。该研究结果对地面微地震压裂监测观测系统设计具有很好的指导作用。

To precisely evaluate the source locations of various commonly used surface microseismic monitoring acquisition geometries,a forward modeling method,based on the different geometries,is discussed using data from a horizontal well in the SZ exploration area of Daqing Oilfield,China,as the model parameter reference.Modeling results show that when subject to the same noise level,a star arrangement has better location precision than a grid or sparse arrangement.With more receivers and a bigger aperture,the star arrangement has stronger noise adaptability and higher location precision.A star arrangement with 106 receivers can also be used for fracture image monitoring.Additionally,velocity model optimization based on calibration signal generator with reasonable noise suppression processing,can significantly improve the location precision and is essential to surface microseismic monitoring.The proposed study can serve as a guide for acquisition geometry design for surface microseismic monitoring.

地面微地震监测; 观测系统; 正演模拟; 震源定位精度; 接收道数; 接收孔径;校验信号;
surface microseismic monitoring,; acquisition geometry,; forward modeling,; source location precision,; receiver number,; receiving aperture,; calibration signal generator;

中国石油天然气股份有限公司重大科技专项“大庆油气持续有效发展关键技术研究与应用”(2016E-0201)资助。

10.3969/j.issn.1000-1441.2018.05.005