| 多信息融合低频建模技术在东河塘速度反演中应用 |
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| 引用本文： | 王兴军,郑少武,王川,徐学玮,刘江良.多信息融合低频建模技术在东河塘速度反演中应用[J].护理与康复,2015(1):5-8. |
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| 作者姓名： | 王兴军 郑少武 王川 徐学玮 刘江良 |
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| 作者单位： | 中国石油塔里木油田分公司勘探开发研究院 新疆 库尔勒 841000,三河环波软件有限公司 河北 燕郊 101601,中国石油塔里木油田分公司勘探开发研究院 新疆 库尔勒 841000,三河环波软件有限公司 河北 燕郊 101601,三河环波软件有限公司 河北 燕郊 101601 |
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| 摘 要： | 特殊岩性体(火成岩、膏盐岩)空间变化剧烈。常规解决方法是通过波阻抗速度速度反演(即SEISLOG、G-LOG、VELOG)求取特殊岩性体速度,波阻抗速度反演首先将地震数据转化为相对声波阻抗,相对阻抗中缺失的低频成分通过低频模型得到补偿进而计算出绝对阻抗,消除密度影响后得到特殊岩性体层速度。多数学者都将波阻抗反演的重点放在优化求解反演方法上,主要针低频模型对速度反演结果的影响,提出通过井、地质层位、地震速度多信息联合构建低频模型,从而提高反演精度。
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| 关 键 词： | 低频模型 波阻抗速度反演 地震速度 特殊岩性体 |
| 收稿时间： | 2013/11/21 0:00:00 |
Application of low-frequency model technology based on multi-information fusion to Donghetang velocity inversion |
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| Wang Xingjun,Zheng Shaowu,Wang Chuan,Xu Xuewei and Liu Jiangliang.Application of low-frequency model technology based on multi-information fusion to Donghetang velocity inversion[J].Nursing and Rehabilitation Journal,2015(1):5-8. |
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| Authors: | Wang Xingjun Zheng Shaowu Wang Chuan Xu Xuewei and Liu Jiangliang |
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| Institution: | Research Institute of Exploration and Development, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China,Aroundwave Software Co., Ltd., Yanjiao,Hebei 101601, China,Research Institute of Exploration and Development, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China,Aroundwave Software Co., Ltd., Yanjiao,Hebei 101601, China and Aroundwave Software Co., Ltd., Yanjiao,Hebei 101601, China |
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| Abstract: | Velocity space of special lithologic body (igneous rock, gypsum and salt rock) changes greatly. The conventional solution is to get special lithologic body velocity through wave impedance velocity inversion (i.e. SEISLOG, G-LOG, and VELOG), while the wave impedance inversion of seismic velocity firstly transforms data into relative acoustic impedance. The missing low-frequency components of relative impedance are compensated by low-frequency model, and the absolute impedance is therefore calculated. Horizon velocity of special lithologic body is obtained after eliminating the influence of density. With respect to wave impedance inversion, most scholars focus on optimizing the inversion method. For the influence of low-frequency model on velocity inversion results, we proposed to build the low-frequency model by combining the data of well, geologic horizon, and seismic velocity, so as to enhance precision of inversion. |
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| Keywords: | low-frequency model wave impendence velocity inversion seismic velocity special lithologic body |
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