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| 气云区全波形反演约束Q场建模技术 | |
| 引用本文： | 薛志刚,轩义华,刘铮,但志伟,史文英,秦宏国.气云区全波形反演约束Q场建模技术[J].吉林大学学报(地球科学版),2022,52(2):613-623. |
| 作者姓名： | 薛志刚 轩义华 刘铮 但志伟 史文英 秦宏国 |
| 作者单位： | 1.中海石油（中国）有限公司深圳分公司，广东深圳518067 2.中海油田服务股份有限公司湛江分公司，广东湛江524057 3.北京汤固能源科技有限公司，北京100012 |
| 基金项目： | 中海石油有限公司重大科技专项（CNOOC-JK 135 ZDXM 37 SZ 01 SHENHAI） |
| 摘 要： | 复杂的浅层气云使地下波场严重扭曲，地震剖面呈现模糊带，影响工区的构造认识和储层描述。品质因子Q是地震波在地层中的衰减属性，Q深度偏移是考虑了地层吸收衰减的偏移成像技术，是提高气云区成像质量的有效方法；但是当浅层气云和深层底辟构造复杂发育时，常规Q场建模的精度往往不能满足Q偏移精细建模的需求。为解决以上难题，本文创新性地提出了全波形反演（full wave inversion, FWI）约束Q场建模技术思路：基于常规网格层析建立初始速度模型，利用FWI技术精细刻画速度异常进而约束Q模型的建立。这一“常规层析-FWI-Q反演”迭代的技术思路在白云凹陷Q深度偏移成像中得到成功应用，不仅提高了气云模糊区的成像质量，而且避免了油气勘探认识的多解性，证明了FWI约束Q场建模和Q深度偏移技术方法对改善复杂气云发育区的成像有效性。 |
| 关 键 词： | 全波形反演 Q深度偏移 气云区 底辟模糊带 白云凹陷 |
| 收稿时间： | 2021-05-14 |
FWI Guided Q Modeling Technology in Gas Clouds Area |
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| Xue Zhigang,Xuan Yihua,Liu Zheng,Dan Zhiwei,Shi Wenying,Qin Hongguo.FWI Guided Q Modeling Technology in Gas Clouds Area[J].Journal of Jilin Unviersity:Earth Science Edition,2022,52(2):613-623. | |
| Authors: | Xue Zhigang Xuan Yihua Liu Zheng Dan Zhiwei Shi Wenying Qin Hongguo |
| Institution: | 1. Shenzhen Branch, CNOOC China Limited, Shenzhen 518067, Guangdong, China 2. Zhanjiang Branch, China Oilfield Services Limited, Zhanjiang 524057, Guangdong, China 3. Beijing TopGeo Energy Services Co. Ltd., Beijing 100012, China |
| Abstract: | Complex shallow gas anomalies will severely complicate and distort wave fields and degrade seismic bandwidth, which destroys the imaging of subsurface layers and causes the diapir fuzzy area. The quality factor Q is the attenuation attribute of rocks during the travel of seismic waves, and Q pre-stack depth migration is an imaging technique considering absorption and attenuation of seismic waves, which is proved to be an effective method to improve the image of gas clouds. Successful gas cloud imaging requires both accurate velocity model and accurate Q model, however, when the distribution of gas-bearing sand bodies and the diapir structures becomes more complex, common Q tomography often fails to provide the necessary resolution to build an accurate Q model. In this paper, we propose a method, by which a high accuracy absorption model can be obtained through the ray-based Q tomographic inversion guided by the highly detailed velocity information from FWI (full wave inversion). The iteration flow of velocity tomography, FWI velocity inversion, and Q tomography is called FWI guided Q model building technique. Through the application of the Q PSDM (pre-stack depth migration) imaging project in Baiyun sag, the FWI guided Q model building technique and the Q PSDM flow are proved successful and essential to improve the imaging of gas cloud areas and reduce the multiplicity of seismic exploration in the presence of complex gas clouds. |
| Keywords: | full wave inversion Q pre-stack depth migration gas cloud area diapir fuzzy area Baiyun sag |
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