Application of Optimization Technology of SVD-based 3D Seismic  Attribution in Gas Bearing Prediction of Sulige Gas Field

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  • Research Institute of Exploration and Development of Geophysical Computing Center,Changing Oilfield Company,Xi′an 710018,China

Received date: 2011-12-30

  Revised date: 2012-03-12

  Online published: 2012-06-10

Abstract

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.

Cite this article

CHANG Yong-gang,SHI Song-qun,ZHAO Yu-hua,WANG Da-xing . Application of Optimization Technology of SVD-based 3D Seismic  Attribution in Gas Bearing Prediction of Sulige Gas Field[J]. Natural Gas Geoscience, 2012 , 23(3) : 596 -601 . DOI: 10.11764/j.issn.1672-1926.2012.03.596

References

[1]Ma Chunsheng,Xu Huazheng,Gong Changhong,et al.Paleo oil reservoir and Jingbian natural gas field of Ordovician weathering crast in Ordos basin
[J].Natural Gas Geoscience,2011,22(2):280-286.
[马春生,许化政,宫长红,等.鄂尔多斯盆地中央隆起带奥陶系风化壳古油藏与靖边大气田关系
[J].天然气地球科学,2011,22(2):280-286.]
[2]Yu Huili.Singularvalue decomposition(SVD)and its applications in time series analysis:Algorithm sand problems study
[J].
[HJ]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.]
[HJ]

[4]Fan Aiping,Zhao Juan,Yang Renchao,et al.Pore structure of reservoir rocks in Shan1 and He 8 Members,the east block of Sulige 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.Application of multi-parameter seismic attribute analysis in reservoir prediction
[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.Application effects of elastic impendence seismic trace inversion in igneous 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 seismic attributes identifying thin sand body:A example of M Formation in Gemah oilfield of Sumatrina basin
[J].Natural Gas 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 hydrocarbon source 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 attribute optimization and its  application in reservoir prediction by using 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 technology optimized by multiple seismic attributes to predict high-impendence sandstone reservoirs in Ordos basin
[J].Marine 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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