论文详情
应用地震波形分析技术预测裂缝的方法探讨
石油物探
2005年 44卷 第No. 2期
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Title
Fracture prediction by seismic waveform analysis
单位
1. 中国地质大学,北京 100083;2. 中国石油勘探开发科学研究院西北分院,甘肃兰州 730020;2. 新疆油田分公司勘探开发研究院,新疆克拉玛依 834000
Organization
China University of Geosciences, Beijing 100083, China
摘要
探讨了利用地震道波形变化特征识别和预测裂缝的方法。介绍了该方法的基本原理和实现过程,首先从 过井地震剖面出发,通过井-震标定,建立裂缝的地震响应模式,总结裂缝发育层段(时窗段)的特征波形;然后 利用神经网络技术逐道进行目的层段的实际地震道对比,把地震波形状分类成离散的"裂缝信息",再根据拟合 度准则进行分类,最终得到裂缝地震反射异常体的空间展布。在青西油田利用地震波形分析技术进行了裂缝预 测,并根据预测结果部署了5口井,钻探结果与预测结果相吻合,位于裂缝发育区的Q11井获得了高产油流。
Abstract
Seismic waveform analysis can depict lateral variation of seismic signal in detail by contrast to real seismic trace one by one in a layer phase according to waveform feature of seismic trace, in order to get spatial distribution of abnormal seismic reflection. On basis of qualitative identification of fracture and seismic trace analysis using nerve network of seismic trace waveform identification, we can classify the shape of seismic trace signal into discrete fracture information. Then we may calibrate object by integrating drilling core and the explanation results of well fracture, confirm the fracture type and its spatial distribution. The foundation, identification fracture theory and realization process by seismic waveform analysis technology, and an actual example of Qingxi oilfield in Jiuquan basin are presented systematically. Seismic waveform analysis is a good means to predict complicated lithological fracture reservoir.
关键词:
青西油田;
波形分类;
裂缝预测;
地震波形分析;
神经网络;
地震裂缝响应;
Keywords:
Qingxi oilfield;
waveform types;
fracture prediction;
seismic waveform analysis;
nerve network;
seismic fracture response;