塔河奥陶系碳酸盐岩缝洞预测
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摘要
当油田进入开发阶段时,对储层裂缝及其分布规律的预测几乎等价于对油气的预测。本文基于Turhan(Tury)Taner的多维边缘检测法提出一种新的地震裂缝边缘检测方法,其要点是采用步长可调的高斯加权法进行边缘裂缝检测,并利用小波函数多尺度功能分析小波尺度因子与裂缝尺度间的关系提高裂缝预测精度。文中应用此法对已开采近二十年的塔河奥陶系碳酸盐岩油藏进行了缝洞发育特征预测。研究结果表明,地震缝洞检测成果与实钻结果具有很高的吻合性,表明该方法计算精度高、算法稳定,可为油藏进一步勘探开发提供重要依据。
The prediction of fracture in the reservoir and its distribution regularity is nearly equivalent to oil/gas prediction when oilfield entered development stage.Based on multi-scale edge detection algorithm proposed by Mr.Taner(1999),the paper proposed a new edge detection algorithm of seismic fracture,in which the key point is to adopt Gaussian weighting method with adjustable step length to carry out edge detection of fracture;to use multi-scale function of wavelet function to analyze relationship between wavelet scale factor and fracture scale in order to improve the fracture-predicted precision.The paper applied the method to carry out the prediction of fracture and cavern developing feature for Ordovician carbonate reservoir in Tahe area that has been recovered for almost 20 years.The studied results showed the seismic detecting results of fracture and cavern is better coincident with practically drilling results,showing the characters of high computational precision and stable algorithm,which is able to provide important foundation for next exploration and development of reservoir.
The prediction of fracture in the reservoir and its distribution regularity is nearly equivalent to oil/gas prediction when oilfield entered development stage.Based on multi-scale edge detection algorithm proposed by Mr.Taner(1999),the paper proposed a new edge detection algorithm of seismic fracture,in which the key point is to adopt Gaussian weighting method with adjustable step length to carry out edge detection of fracture;to use multi-scale function of wavelet function to analyze relationship between wavelet scale factor and fracture scale in order to improve the fracture-predicted precision.The paper applied the method to carry out the prediction of fracture and cavern developing feature for Ordovician carbonate reservoir in Tahe area that has been recovered for almost 20 years.The studied results showed the seismic detecting results of fracture and cavern is better coincident with practically drilling results,showing the characters of high computational precision and stable algorithm,which is able to provide important foundation for next exploration and development of reservoir.
引文
[1]Grimm R E,Bates C Ret al.Detection and analysis of naturally fractured gas reservoirs.Geophysics,1999,64(4):1277～1292
[2]黄捍东等.分形边缘检测在裂缝预测中的应用.石油地球物理勘探,2002,37(1):65～68
[3]Murry G H.Quantitative fracture study-Sanish pool,Mckenzie County,North Dakota.AAPG Bulletin,1968,52(1):57～65
[4]Murry G H.Quantitative fracture study,Sanish Pool,Fracture-controlled.AAPG Bulletin Reprint Series21,1977
[5]陈钟祥译.裂缝油藏工程基础.北京:石油工业出版社,1989
[6]Barton C C.Fractal analysis of scaling and spatial clustering of fracture.Fractal in the earth sciences,New York:Plenum Press,1995
[7]孙焕泉,王加滢.地下构造裂缝分布规律及其预测.大庆石油学院学报,2000,24(3):82～85
[8]Luo Y,Higgs W Gand Kowalik WS.Edge detection and stratigraphic analysis using3-D seismic data.Expanded Abstracts of SEG66th Ann Intern Mtg,1996,324～327
[9]Turhan(Tury)Taner.Multi-component edge detec-tion algorithm.Rock Solid Images,1999,1～4
[10]唐向宏等.图像边缘检测方法在薄地层识别中的应用.石油地球物理勘探,2002,37(2):163～165
[2]黄捍东等.分形边缘检测在裂缝预测中的应用.石油地球物理勘探,2002,37(1):65～68
[3]Murry G H.Quantitative fracture study-Sanish pool,Mckenzie County,North Dakota.AAPG Bulletin,1968,52(1):57～65
[4]Murry G H.Quantitative fracture study,Sanish Pool,Fracture-controlled.AAPG Bulletin Reprint Series21,1977
[5]陈钟祥译.裂缝油藏工程基础.北京:石油工业出版社,1989
[6]Barton C C.Fractal analysis of scaling and spatial clustering of fracture.Fractal in the earth sciences,New York:Plenum Press,1995
[7]孙焕泉,王加滢.地下构造裂缝分布规律及其预测.大庆石油学院学报,2000,24(3):82～85
[8]Luo Y,Higgs W Gand Kowalik WS.Edge detection and stratigraphic analysis using3-D seismic data.Expanded Abstracts of SEG66th Ann Intern Mtg,1996,324～327
[9]Turhan(Tury)Taner.Multi-component edge detec-tion algorithm.Rock Solid Images,1999,1～4
[10]唐向宏等.图像边缘检测方法在薄地层识别中的应用.石油地球物理勘探,2002,37(2):163～165
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