基于变水速模型驱动的深水水层多次波压制技术研究与应用

2018年 57卷 第No. 1期
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Research and application on deepwater water-layer multiple elimination technology based on variable water velocity model
(1.西南石油大学石油与天然气工程学院,四川成都610599;2.中海油田服务股份有限公司湛江分公司,广东湛江524057;3.中海油田服务股份有限公司油田技术事业部资料解释中心,河北燕郊056001)
(1.School of Oil and Natural Gas Engineering,Southwest Petroleum University,Chengdu 610599,China;2.Zhanjiang Branch,China Oilfield Services Ltd.,Zhanjiang 524057,China;3.Data Processing & Interpretation Center Dept.,Oilfield Technology Division,China Oilfield Services Limited,Yanjiao 056001,China)

深水地震资料处理中,水层多次波因深水水层为变速体的特性,无法应用浅水水层多次波压制技术(Shallow Water Multiple Attenuation,SWMA)进行压制,而传统的自由界面多次波压制技术(Surface-Related Multiple Elimination,SRME)压制水层多次波则不具有针对性。为此,开展了基于变水速模型驱动的深水水层多次波压制技术(Deepwater Water-layer Multiple Elimination,DWME)研究。该技术通过构建海底和变水速模型计算出水层多次波准确旅行时,在τ-p域根据水层多次波旅行时将地震数据进行延拓,得到水层多次波模型,然后应用自适应匹配相减方法完成水层多次波压制。理论模型验证及海外某工区实际地震资料应用结果表明,DWME对深水水层多次波压制效果较好,且针对性强。

It is difficult to attenuate deepwater water-layer multiple using the shallow water multiple attenuation (SWMA) method or the conventional surface-related multiple elimination (SRME) method,because the deepwater water-layer velocity is not constant.This paper proposes a deepwater water-layer multiple elimination (DWME) method driven by a variable water velocity model.The method first estimates the water-layer multiple travel-time by building the sea bottom model and variable water velocity model.Then,seismic data wave field extrapolation is performed according to the estimated travel-time in the τ-p domain to predict water-layer multiple.Finally,the adaptive matching subtraction is applied to eliminate the multiples.Testing results on both synthetic data and field data show that the DWME can effectively suppress deepwater water-layer multiples.

深水; 水层多次波; 变速体; 浅水水层多次波压制技术; 自由界面多次波压制技术; 深水水层多次波压制技术;
deepwater,; water-layer multiple,; variable water velocity,; shallow water multiple attenuation (SWMA),; surface-related multiple elimination (SRME),; deepwater water-layer multiple elimination (DWME);

中海油能源发展股份有限公司科技项目“陵水凹陷中深层弱信号识别方法研究与应用”(HFKJ-GJ2015001)资助。

10.3969/j.issn.1000-1441.2018.01.015