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珠江口盆地番禺YZ气田群多因素影响下低幅构造的精细研究
引用本文:汪生好,李黎,王要森,杨小江,刘振,夏晓燕,蒋玉婷.珠江口盆地番禺YZ气田群多因素影响下低幅构造的精细研究[J].地质科技通报,2022,41(3):77-84.
作者姓名:汪生好  李黎  王要森  杨小江  刘振  夏晓燕  蒋玉婷
基金项目:中海油有限综合科研“万亿大气区”项目“南海东部大中型天然气田勘探潜力与突破方向”KJZH-2021-0003-00
摘    要:珠江口盆地YZ气田群位于陆架边缘区域,气藏埋深大于3 000 m,构造研究面临水深变化大、表层低速泥岩厚度变化大、小范围浅层气等多种因素影响的问题,气藏顶界深度精细预测难度大,给气田开发方案实施带来风险。针对该问题提出一种处理解释一体化的研究思路: 首先,沿目的层及其上部地震反射标志层横向加密拾取地震速度谱,提高速度分析的精度;其次,利用已钻井合成地震记录标定后的速度对地震速度进行宏观校正,消除井震速度系统误差,应用校正后的速度进行时深转换,得到初始深度构造;通过相关性分析法明确井点处剩余误差的主要来源,以相关性趋势面为约束,结合井点剩余误差编辑误差网格以校正初始深度构造。最后,通过校正井点残差得到较高精度的深度构造。气田开发的实践表明,该方法预测的构造深度和开发井实钻深度的误差由原来的10~40 m降至10 m以内,成功提高了目标区构造预测精度,有效指导了该区开发井的设计和实施,降低了气田开发的风险。因此,对于类似地质条件下油气田,其构造精细研究不单是唯数据驱动的速度分析及偏移成像,认清构造影响因素并予以消除也是关键。 

关 键 词:沿层密点    系统误差    宏观校正    剩余误差    低幅构造    番禺YZ气田群
收稿时间:2021-08-08

A fine study on low-rising structure of Panyu YZ gas field group in Pearl River Mouth Basin
Abstract:YZ gas field group in the Pearl River Mouth Basin is located at the edge of the continental shelf, and the gas reservoir is buried deeper than 3 000 m. Structural research faces multiple problems, such as large changes in water depth, large changes in the thickness of the surface low-velocity mudstone, and small-scale shallow gas. It is difficult to predict the depth of gas reservoirs precisely, which brings risks to the implementation of the overall development plan in the gas fields. Aiming at this problem, a research idea of integration of processing and interpretation is proposed: firstly, dense velocity analysis is carried out along the target layer and its upper seismic reflection layer to improve the accuracy of seismic velocity analysis; secondly, in order to eliminate the systematic error of well-seismic velocity, the macro correction of seismic velocity is carried out by using the calibrated velocity of synthetic seismic records, and the corrected velocity is used to perform time-depth conversion to obtain the initial depth structure; the main source of the residual error at the well point is clarified by the correlation analysis method, and with the correlation trend surface as the constraint, the error grid is edited in combination with the residual error of the well to correct the initial depth structure. Finally, a higher-precision depth structure is obtained by correcting the small error at the well location. The practice of gas field exploitation shows that the error between the structural depth predicted by this method and the actual depth of development wells has been reduced from 10-40 m to less than 10 m, which has successfully improved the accuracy of structural prediction, effectively guided the design and implementation of development wells, and reduced the risk of gas field exploitation. For oil and gas fields under similar geological conditions, the detailed study of the structure is not only based on data-driven velocity analysis and seismic imaging, identifying and eliminating the influencing factors of the structure is also the key. 
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