| 非零井源距VSP逆高斯束叠加成像 |
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| 引用本文： | 杨飞龙,方金川,郭文强,白艳军,罗浩,赵驰.非零井源距VSP逆高斯束叠加成像[J].地球物理学进展,2020(3):1077-1084. |
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| 作者姓名： | 杨飞龙 方金川 郭文强 白艳军 罗浩 赵驰 |
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| 作者单位： | 西安石油大学地球科学与工程学院;陕西省油气成藏地质学重点实验室;中国石油集团测井有限公司新疆分公司;延长油田股份有限公司 |
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| 基金项目： | 陕西省教育厅科研计划项目(19JK0668)资助. |
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| 摘 要： | VSP-CDP叠加成像是非零井源距VSP数据成像的重要技术手段,但是当地下构造比较复杂时,基于水平层状介质假设的叠加成像方法误差较大.本文使用基于高斯射线束的叠加成像方法对复杂构造VSP数据进行成像,根据高斯束有效邻域波场近似理论提出逆高斯叠加权函数,并使用该权函数对VSP数据进行VSP-CDP转换.同常规的VSP-CDP叠加成像方法相比,本文方法不仅解决了复杂构造非零井源距VSP数据成像问题,而且可有效加密反射点覆盖次数从而提高成像的横向分辨率.模型算例及实际资料验证了本文方法的有效性和稳定性.
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| 关 键 词： | VSP成像 逆高斯束 权函数 叠加成像 |
Inverse Gaussian beam stack imaging of nonzero-offset VSP |
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| YANG Fei-long,FANG Jin-chuan,GUO Wen-qiang,BAI Yan-jun,LUO Hao,ZHAO Chi.Inverse Gaussian beam stack imaging of nonzero-offset VSP[J].Progress in Geophysics,2020(3):1077-1084. |
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| Authors: | YANG Fei-long FANG Jin-chuan GUO Wen-qiang BAI Yan-jun LUO Hao ZHAO Chi |
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| Institution: | (College of the Geoscience and Engineering,Xi'an Shiyou University,Xi'an 710065,China;Shaanxi Key Laboratory of Petroleum Accumulation Geology,Xi'an 710065,China;Xinjiang Branch,China Petroleum Logging Company Limited,Karamay 834000,China;Yanchang Oilfield Company Limited,Yan'an 716000,China) |
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| Abstract: | VSP-CDP stack imaging is an important technique for nonzero-offset VSP data.However,when the underlying structure is relatively complex,the stack imaging method based on the assumption of horizontal layered media has large errors.In this paper,the Gaussian beam stack imaging method is used to image the VSP data with complex structures.According to the effective neighborhood wave field approximation theory of Gaussian beam,the Inverse Gaussian Beam(IGB)stack weight function is proposed,and the weight function is used to realize VSP-CDP transformation for VSP data.Compared with the conventional VSP-CDP stack imaging method,this method not only solves the problem of nonzerooffset VSP data imaging for complex structures,but also can effectively produce more intensive reflection point coverage and improve the lateral resolution of imaging.The effectiveness and stability of the proposed method are verified by numerical examples and practical data. |
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| Keywords: | VSP imaging Inverse Gaussian beam Weight function Stack imaging |
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