基于SVD法三维地震属性优化技术在苏里格气田含气性预测中的应用
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摘要
在进行地震储层预测时,经常先对地震属性依据地表环境、采集客观因素、处理不当等原因引起属性异常进行客观分析,充分理解地震各个属性所携带的各种非储层信息;然后再综合分析地质资料,诸如沉积环境、构造特征、岩性变化、物性变化等;最后才是储层含气性在地震属性上的表现特征,再结合非地质因素和非含气性因素进行含气性预测,尤其注意预测方法的适用条件,即在同等级别的地质因素、储层因素的前提下预测含气性。按照上述流程对苏里格气田东区三维地震区进行详细研究,针对三维地震资料属性分析中对于储层预测多解性问题,采用了奇异值分解(SVD)的方法对地震属性展开降维,分类优化,在一定程度上降低了三维地震预测储层的多解性,降低了气田开发井位部署风险,在气田滚动评价与整体开发中起到很好的应用效果。
In seismic reservoir prediction,we firstly deal with the abnormality of seismic attribute due to surface or seismic acquisition,misleading data processing and understand the seismic attribute with a variety of reservoir information;then we illustrate comprehensively the geological data,such as,sedimentary environment,tectonic features,lithology,physical property;finally the performance characteristics of the gas bearing property of reservoirs in the seismic attribute is determined in combination with geologic factors,no gas bearing prediction factors.Here,we must pay special attention to the conditions of the prediction method like as the prediction of gas bearing in one level of geological and reservoir factors.In this paper we use the singular direct decomposition method to reduce dimensionality of seismic attributes and optimize the deployment in the eastern Sulige gas field 3D seismic,since there is the ambiguity of reservoir prediction in the 3D seismic data attribute analysis.To a certain extent,this method reduces the ambiguity of the seismic reservoir and decrease the risk of well deployment in the gas development,getting the good effect on rolling evaluation and overall development.
In seismic reservoir prediction,we firstly deal with the abnormality of seismic attribute due to surface or seismic acquisition,misleading data processing and understand the seismic attribute with a variety of reservoir information;then we illustrate comprehensively the geological data,such as,sedimentary environment,tectonic features,lithology,physical property;finally the performance characteristics of the gas bearing property of reservoirs in the seismic attribute is determined in combination with geologic factors,no gas bearing prediction factors.Here,we must pay special attention to the conditions of the prediction method like as the prediction of gas bearing in one level of geological and reservoir factors.In this paper we use the singular direct decomposition method to reduce dimensionality of seismic attributes and optimize the deployment in the eastern Sulige gas field 3D seismic,since there is the ambiguity of reservoir prediction in the 3D seismic data attribute analysis.To a certain extent,this method reduces the ambiguity of the seismic reservoir and decrease the risk of well deployment in the gas development,getting the good effect on rolling evaluation and overall development.
引文
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[2]Yu Huili.Singularvalue decomposition(SVD)and its applica-tions in time series analysis:Algorithm sand problems study[J].Information and Control,1990,(2):30-31.[余辉里.奇异值分解(SVD)及其在时间序列分析中的应用——算法与问题研究[J].信息与控制,1990,(2):30-31.]
[3]Wang Jiaying.Inverse Theory in Geophysics[M].Beijing:Higher Education Press,2002.[王家映.地球物理反演理论[M].北京:高等教育出版社,2002.]
[4]Fan Aiping,Zhao Juan,Yang Renchao,et al.Pore structure ofreservoir rocks in Shan1and He 8Members,the east block ofSulige gas field[J].Natural Gas Geoscience,2011,22(3):482-487.[樊爱萍,赵娟,杨仁超,等.苏里格气田东二区山1段、盒8段储层孔隙结构特征[J].天然气地球科学,2011,22(3):482-487.]
[5]Chang Yonggang,Gui Zhixian,Zhang Zonghe,et al.Applica-tion of multi-parameter seismic attribute analysis in reservoirprediction[J].Journal of Oil and Gas Technology,2008,30(1):244-246.[畅永刚,桂志先,张宗和,等.多参数地震属性分析技术在储层预测中的应用——以NP地区为例[J].石油天然气学报,2008,30(1):244-246.]
[6]Chang Yonggang,Zhang Zonghe,Wang Zhimei,et al.Appli-cation effects of elastic impendence seismic trace inversion inigneous strata[J].Natural Gas Geoscience,2007,18(3):422-525.[畅永刚,张宗和,王志美,等.弹性阻抗反演在火山岩发育区应用效果分析——以NP构造为例[J].天然气地球科学,2007,18(3):422-525.]
[7]Tian Xin,Wang Xuben,Zhang Ming,et al.Application of seis-mic attributes identifying thin sand body:A example of MFormation in Gemah oilfield of Sumatrina basin[J].NaturalGas Geoscience,2011,22(3):533-538.[田鑫,王绪本,张铭,等.地震属性方法在油田开发阶段薄砂体识别中的应用——以印尼苏门答腊盆地Gemah油田M油层为例[J].天然气地球科学,2011,22(3):533-538.]
[8]Gu Lijing,Xu Shouyu,Su Jin,et al.Muddy hydrocarbonsource rock prediction and evaluation with seismic data[J].Natural Gas Geoscience,2011,22(3):554-558.[顾礼敬,徐守余,苏劲,等.利用地震资料预测和评价烃源岩[J].天然气地球科学,2011,22(3):554-558.]
[9]Wang Xiaoyang,Gui Zhixian,Gao Gang,et al.Seismic attrib-ute optimization and its application in reservoir prediction byusing K-L transform[J].Journal of Oil and Gas Technology,2008,30(3):96-98.[王晓阳,桂志先,高刚,等.K-L变换地震属性优化及其在储层预测中的应用[J].石油天然气学报,2008,30(3):96-98.]
[10]Du Lijun,Wu Zhiqiang.Application of neural network tech-nology optimized by multiple seismic attributes to predicthigh-impendence sandstone reservoirs in Ordos basin[J].Ma-rine Geology Letters,2010,26(10):45-49.[杜丽筠,吴志强.多地震属性优化的神经网络技术在鄂尔多斯盆地高阻抗砂岩储层预测中的应用[J].海洋地质动态,2010,26(10):45-49.]
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