地震纹理分析在油气勘探中应用进展
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摘要
将图像处理技术中的纹理分析理念运用到地震油气勘探中,一方面丰富了纹理分析的内容,另一方面也为地震油气勘探提供了新思路。文章在收集、整理相关文献的基础上,从以下三个方面分析、归纳了地震纹理分析技术的发展现状:①就地震纹理分析的发展历程而言,发展较早但实际应用较晚,尤其在国内;②就地震纹理分析的算法而言,目前应用比较广泛的算法有两种,分别是:灰度共生矩阵(GLCM)和纹理模型回归分析(TMR);③就地震纹理在油气勘探的应用而言,主要表现在地震构造解释、地震相分类、储层特征研究及预测三个方面。最后从发展趋势上得出结论:随着地震纹理分析算法的不断发展,该技术在油气勘探领域的应用将进一步扩展,不仅表现在碎屑岩油气,而且在碳酸盐岩甚至非常规油气中都将得到应用。因此发展前景十分广阔。
Applying the concept of texture analysis in image processing technology to seismic oil and gas exploration,on the one hand,enrich the content of texture analysis,on the other hand,provide a new approach for seismic oil and gas exploration.On the basis of collecting and organizing the relevant literature,this paper summarizes the progress of seismic texture analysis in the following three aspects: ① In terms of the development of the seismic texture analysis,it developed earlier but the application is a little late,especially in the domestic;② In terms of the algorithm of seismic texture analysis,there are two methods being widely used: the gray level co-occurrence matrix(GLCM) and the texture model regression analysis(TMR);③ In terms of the application of seismic texture analysis in oil and gas exploration,it is mainly introduced in seismic structural interpretation,seismic facies classification,and prediction of reservoir characteristics.Finally,the author draws the conclusions from the trend of development: with the continuous development of the seismic texture analysis algorithm,the application of the technology will be further expanded in the field of hydrocarbon exploration.Not only in clastic rocks,but also in carbonate rocks and even unconventional oil and gas will be applied.Therefore,it has a very broad development prospects.
Applying the concept of texture analysis in image processing technology to seismic oil and gas exploration,on the one hand,enrich the content of texture analysis,on the other hand,provide a new approach for seismic oil and gas exploration.On the basis of collecting and organizing the relevant literature,this paper summarizes the progress of seismic texture analysis in the following three aspects: ① In terms of the development of the seismic texture analysis,it developed earlier but the application is a little late,especially in the domestic;② In terms of the algorithm of seismic texture analysis,there are two methods being widely used: the gray level co-occurrence matrix(GLCM) and the texture model regression analysis(TMR);③ In terms of the application of seismic texture analysis in oil and gas exploration,it is mainly introduced in seismic structural interpretation,seismic facies classification,and prediction of reservoir characteristics.Finally,the author draws the conclusions from the trend of development: with the continuous development of the seismic texture analysis algorithm,the application of the technology will be further expanded in the field of hydrocarbon exploration.Not only in clastic rocks,but also in carbonate rocks and even unconventional oil and gas will be applied.Therefore,it has a very broad development prospects.
引文
[1]倪凤田.基于地震属性分析的储层预测方法研究[D].东营:中国石油大学,2008.
[2]戴向峰,姜太亮,郑晓英.地震勘探方法及应用一地震属性分析[J].青海石油,2011,29(3):13-17.
[3]吕公河,于常青,董宁.叠后地震属性分析在油气田勘探开发中的应用[J].地球物理学进展,2006,21(1):161-166.
[4]郭华军,刘庆成.地震属性技术的历史、现状及发展趋势[J].物探与化探,2008,32(1):19-22.
[5]丛培泓,高君,王建民,等.地震属性分析技术在隐蔽油气藏勘探中的应用[J].天然气工业,2007,27(增刊A):336-338.
[6]Haralick R M,Shanmugam K,Dinstein H.Textural Features forImage Classification[J].IEEE Transactions on Systems,Man andCybernetics,1973,SMC-3(6):610-621.
[7]Love P L,Simaan M.Segmentation of stacked seismic data by theclassification of image texture[J].SEG Abstracts,1984(1):480-482.
[8]Brian P W,Steve R M,John E E.Interactive seismic facies classi-fication using textural attributes and neural networks[J].TheLeading Edge,2002,21(10):1042-1049.
[9]Gao Dengliang.Volume texture extraction for 3D seismic visualiza-tion and interpretation[J].Geophysics,2003,68(4):1294-1302.
[10]Gao Dengliang.3D VCM seismic textures:A new technology toquantify seismic interpretation[J].SEG Technical Program Ex-panded Abstracts,1999,(18):1037-1039.
[11]Gao Dengliang.Application of three-dimensional seismic texture a-nalysis with special reference to deep-marine facies discriminationand interpretation:Offshore Angola,west Africa[J].AAPG Bulle-tin,2007,91(12):1665-1683.
[12]Chopra S,Alexeev V.Applications of texture attribute analysis to3D seismic data[J].The Leading Edge,2006,(25):934-940.
[13]赵荣椿.一种图象分割新方法及其在石油勘探中的应用[J].计算机学报,1994,17(1):77-80.
[14]薄华,马缚龙,焦李成.图像纹理的灰度共生矩阵计算问题的分析[J].电子学报,2006,34(1):155-158.
[15]黄伟.地震剖面图像纹理分割研究综述[J].韩山师范学院学报,2007,28(3):103-108.
[16]王伟.地震几何属性识别断层技术研究及应用[D].东营:中国石油大学,2009.
[17]崔世凌,张军华,王伟,等.地震纹理属性在JJD工区断层识别中的应用[J]物探化探计算技术,2010,32(3):304-309.
[18]王治国,尹成,雷小兰,等.河道纹理属性分析中的灰度共生矩阵参数研究[J].石油地球物理勘探,2012,47(1):100-106.
[19]Angelo M S,Matos M C,Marfurt K J.Integrated seismic texture seg-mentation and clustering analysis to delineate reservoir heterogenei-ty[J].SEG Technical Program Expanded Abstracts,2009,(28):1107-1111.
[20]Yenugu M,Marfurt K J,Matson S.Seismic texture analysis for res-ervoir prediction and characterization[J].The Leading Edge,2010,29(9):1116-1121.
[21]Gao Dengliang.Application of seismic texture model regression toseismic facies characterization and interpretation[J].The LeadingEdge,2008,394-397.
[22]Marcilio Castro de Matos,Malleswar(Moe)Yenugu,SipuikineneMiguel Angelo.Integrated seismic texture segmentation and clusteranalysis applied to channel delineation and chert reservoir charac-terization[J].Geophysics,2011,76(5):11-21.
[23]Gao Dengliang.Texture model regression for effective feature dis-crimination:Application to seismic facies visualization and interpre-tation[J].Geophysics,2004,69(4):958-967.
[24]刘晓民.纹理研究综述[J].计算机应用研究,2008,25(8):2284-2288.
[25]白雪冰,王克奇,王辉.基于灰度共生矩阵的木材纹理分类方法的研究[J].哈尔滨工业大学学报,2005,37(12):1667.
[26]谢江涛,雷英成,杜浩坤,等.纹理模型回归分析在地震图像增强中的应用[J].长江大学学报:自然科学版,2011,8(5):46-47.
[27]王涛,张群会.特征构造相干体方法的研究[J].科技信息:学术研究,2008,(29):447-448.
[28]张军华,王月英,赵勇.C3相干体在断层和裂缝识别中的应用[J].地震学报,2004,26(5):560-564.
[29]张军华,王永刚,赵勇,等.相干体技术算法改进及其在TJH地区的应用[J].物探与化探,2002,26(1):50-52.
[30]张林科,覃丽君,张国焘.基于地震属性的地震相分析思路[J].工程地球物理学报,2010,7(6):694-698.
[2]戴向峰,姜太亮,郑晓英.地震勘探方法及应用一地震属性分析[J].青海石油,2011,29(3):13-17.
[3]吕公河,于常青,董宁.叠后地震属性分析在油气田勘探开发中的应用[J].地球物理学进展,2006,21(1):161-166.
[4]郭华军,刘庆成.地震属性技术的历史、现状及发展趋势[J].物探与化探,2008,32(1):19-22.
[5]丛培泓,高君,王建民,等.地震属性分析技术在隐蔽油气藏勘探中的应用[J].天然气工业,2007,27(增刊A):336-338.
[6]Haralick R M,Shanmugam K,Dinstein H.Textural Features forImage Classification[J].IEEE Transactions on Systems,Man andCybernetics,1973,SMC-3(6):610-621.
[7]Love P L,Simaan M.Segmentation of stacked seismic data by theclassification of image texture[J].SEG Abstracts,1984(1):480-482.
[8]Brian P W,Steve R M,John E E.Interactive seismic facies classi-fication using textural attributes and neural networks[J].TheLeading Edge,2002,21(10):1042-1049.
[9]Gao Dengliang.Volume texture extraction for 3D seismic visualiza-tion and interpretation[J].Geophysics,2003,68(4):1294-1302.
[10]Gao Dengliang.3D VCM seismic textures:A new technology toquantify seismic interpretation[J].SEG Technical Program Ex-panded Abstracts,1999,(18):1037-1039.
[11]Gao Dengliang.Application of three-dimensional seismic texture a-nalysis with special reference to deep-marine facies discriminationand interpretation:Offshore Angola,west Africa[J].AAPG Bulle-tin,2007,91(12):1665-1683.
[12]Chopra S,Alexeev V.Applications of texture attribute analysis to3D seismic data[J].The Leading Edge,2006,(25):934-940.
[13]赵荣椿.一种图象分割新方法及其在石油勘探中的应用[J].计算机学报,1994,17(1):77-80.
[14]薄华,马缚龙,焦李成.图像纹理的灰度共生矩阵计算问题的分析[J].电子学报,2006,34(1):155-158.
[15]黄伟.地震剖面图像纹理分割研究综述[J].韩山师范学院学报,2007,28(3):103-108.
[16]王伟.地震几何属性识别断层技术研究及应用[D].东营:中国石油大学,2009.
[17]崔世凌,张军华,王伟,等.地震纹理属性在JJD工区断层识别中的应用[J]物探化探计算技术,2010,32(3):304-309.
[18]王治国,尹成,雷小兰,等.河道纹理属性分析中的灰度共生矩阵参数研究[J].石油地球物理勘探,2012,47(1):100-106.
[19]Angelo M S,Matos M C,Marfurt K J.Integrated seismic texture seg-mentation and clustering analysis to delineate reservoir heterogenei-ty[J].SEG Technical Program Expanded Abstracts,2009,(28):1107-1111.
[20]Yenugu M,Marfurt K J,Matson S.Seismic texture analysis for res-ervoir prediction and characterization[J].The Leading Edge,2010,29(9):1116-1121.
[21]Gao Dengliang.Application of seismic texture model regression toseismic facies characterization and interpretation[J].The LeadingEdge,2008,394-397.
[22]Marcilio Castro de Matos,Malleswar(Moe)Yenugu,SipuikineneMiguel Angelo.Integrated seismic texture segmentation and clusteranalysis applied to channel delineation and chert reservoir charac-terization[J].Geophysics,2011,76(5):11-21.
[23]Gao Dengliang.Texture model regression for effective feature dis-crimination:Application to seismic facies visualization and interpre-tation[J].Geophysics,2004,69(4):958-967.
[24]刘晓民.纹理研究综述[J].计算机应用研究,2008,25(8):2284-2288.
[25]白雪冰,王克奇,王辉.基于灰度共生矩阵的木材纹理分类方法的研究[J].哈尔滨工业大学学报,2005,37(12):1667.
[26]谢江涛,雷英成,杜浩坤,等.纹理模型回归分析在地震图像增强中的应用[J].长江大学学报:自然科学版,2011,8(5):46-47.
[27]王涛,张群会.特征构造相干体方法的研究[J].科技信息:学术研究,2008,(29):447-448.
[28]张军华,王月英,赵勇.C3相干体在断层和裂缝识别中的应用[J].地震学报,2004,26(5):560-564.
[29]张军华,王永刚,赵勇,等.相干体技术算法改进及其在TJH地区的应用[J].物探与化探,2002,26(1):50-52.
[30]张林科,覃丽君,张国焘.基于地震属性的地震相分析思路[J].工程地球物理学报,2010,7(6):694-698.
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