Application of spectral inversion and fuzzy logic interpolation in post-stack resolution enhancement on a seismic volume of the Colombian llanos basin

J. Ramírez, O. Almanza, L. A. M. Vides
{"title":"Application of spectral inversion and fuzzy logic interpolation in post-stack resolution enhancement on a seismic volume of the Colombian llanos basin","authors":"J. Ramírez, O. Almanza, L. A. M. Vides","doi":"10.29047/01225383.71","DOIUrl":null,"url":null,"abstract":"espanolRESUMEN Para mejorar la interpretacion estratigrafica de datos sismicos 3D se procuro aumentar la resolucion vertical mediante una inversion espectral (Puryear & Castagna, 2008; Qiu, Junhua, Xiaohui, Hu, & Lei, 2016) y la resolucion lateral usando una interpolacion de logica difusa (Souverville et al., 2015). La inversion espectral mediante algoritmo genetico y la interpolacion se implementaron en Matlab®, y se probaron en datos sinteticos asi como en una imagen digital de alta resolucion, donde ambos algoritmos demostraron un buen desempeno. Finalmente, al aplicarse a un volumen sismico de la Cuenca Llanos en el intervalo C7 de la Formacion Carbonera (Colombia), se consiguio un cubo sismico de mayor resolucion en espacio y tiempo. Se estimaron los atributos sismicos varianza y \"sweetness\" antes y despues de aplicar la inversion espectral y la interpolacion, observando que la aplicacion de ambos daba mayor interpretabilidad a las facies estratigraficas. La interpretacion de tres mapas sismicos a diferentes tiempos (\"time slices\") permitio inferir ambientes de formacion que fueron validados con informacion de pozo. EnglishABSTRACT To improve the stratigraphic interpretation of 3D seismic data it is pursued to increase the vertical resolution by means of a Spectral Inversion (Puryear & Castagna, 2008; Qiu, Junhua, Xiaohui, Hu, & Lei, 2016) and the lateral resolution using a fuzzy logic interpolation (Souverville et al., 2015). Both the Spectral Inversion using a genetic algorithm and the interpolation are implemented in Matlab®, and tested in synthetic data and in a high resolution digital image, where both algorithms showed good performance. Finally, when applied to the C7 unit of the Carbonera formation in a seismic volume of the Llanos Basin (Colombia), a seismic cube of greater resolution in space and time was obtained. The seismic attributes variance and sweetness were estimated before and after applying the Spectral Inversion and interpolation, noting that applying both gave higher interpretability to the stratigraphic facies. The interpretation of three different time slices allowed inferring formation environments that were validated with well information. portuguesRESUMO Visando melhorar a interpretacao estratigrafica de dados sismicos 3D procuramos aumentar a resolucao vertical mediante uma inversao espectral (Puryear & Castagna, 2008; Qiu, Junhua, Xiaohui, Hu, & Lei, 2016) e a resolucao lateral empregando uma interpolacao de logica difusa (Souverville et al., 2015). A inversao espectral mediante algoritmo genetico e a interpolacao foram implementadas em Matlab®, sendo testadas em dados sinteticos, bem como na imagem digital de alta resolucao, onde ambos algoritmos demostraram um bom desempenho. Finalmente, ao ser aplicado a um volume sismico da Bacia Llanos no intervalo C7 da Formacao Carbonifera (Colombia), conseguimos um cubo sismico de maior resolucao em espaco e tempo. Foram calculados os atributos sismicos variância e \"sweetness\" antes e depois da aplicacao da inversao espectral e a interpolacao, observando que a aplicacao de ambos resultava em maior interpretabilidade as facies estratigraficas. A interpretacao de tres mapas sismicos a diferentes tempos (\"time slices\") permitiu inferir ambientes de formacao que foram validados com informacao de poco.","PeriodicalId":10235,"journal":{"name":"Ciencia Tecnologia y Futuro","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ciencia Tecnologia y Futuro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29047/01225383.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

espanolRESUMEN Para mejorar la interpretacion estratigrafica de datos sismicos 3D se procuro aumentar la resolucion vertical mediante una inversion espectral (Puryear & Castagna, 2008; Qiu, Junhua, Xiaohui, Hu, & Lei, 2016) y la resolucion lateral usando una interpolacion de logica difusa (Souverville et al., 2015). La inversion espectral mediante algoritmo genetico y la interpolacion se implementaron en Matlab®, y se probaron en datos sinteticos asi como en una imagen digital de alta resolucion, donde ambos algoritmos demostraron un buen desempeno. Finalmente, al aplicarse a un volumen sismico de la Cuenca Llanos en el intervalo C7 de la Formacion Carbonera (Colombia), se consiguio un cubo sismico de mayor resolucion en espacio y tiempo. Se estimaron los atributos sismicos varianza y "sweetness" antes y despues de aplicar la inversion espectral y la interpolacion, observando que la aplicacion de ambos daba mayor interpretabilidad a las facies estratigraficas. La interpretacion de tres mapas sismicos a diferentes tiempos ("time slices") permitio inferir ambientes de formacion que fueron validados con informacion de pozo. EnglishABSTRACT To improve the stratigraphic interpretation of 3D seismic data it is pursued to increase the vertical resolution by means of a Spectral Inversion (Puryear & Castagna, 2008; Qiu, Junhua, Xiaohui, Hu, & Lei, 2016) and the lateral resolution using a fuzzy logic interpolation (Souverville et al., 2015). Both the Spectral Inversion using a genetic algorithm and the interpolation are implemented in Matlab®, and tested in synthetic data and in a high resolution digital image, where both algorithms showed good performance. Finally, when applied to the C7 unit of the Carbonera formation in a seismic volume of the Llanos Basin (Colombia), a seismic cube of greater resolution in space and time was obtained. The seismic attributes variance and sweetness were estimated before and after applying the Spectral Inversion and interpolation, noting that applying both gave higher interpretability to the stratigraphic facies. The interpretation of three different time slices allowed inferring formation environments that were validated with well information. portuguesRESUMO Visando melhorar a interpretacao estratigrafica de dados sismicos 3D procuramos aumentar a resolucao vertical mediante uma inversao espectral (Puryear & Castagna, 2008; Qiu, Junhua, Xiaohui, Hu, & Lei, 2016) e a resolucao lateral empregando uma interpolacao de logica difusa (Souverville et al., 2015). A inversao espectral mediante algoritmo genetico e a interpolacao foram implementadas em Matlab®, sendo testadas em dados sinteticos, bem como na imagem digital de alta resolucao, onde ambos algoritmos demostraram um bom desempenho. Finalmente, ao ser aplicado a um volume sismico da Bacia Llanos no intervalo C7 da Formacao Carbonifera (Colombia), conseguimos um cubo sismico de maior resolucao em espaco e tempo. Foram calculados os atributos sismicos variância e "sweetness" antes e depois da aplicacao da inversao espectral e a interpolacao, observando que a aplicacao de ambos resultava em maior interpretabilidade as facies estratigraficas. A interpretacao de tres mapas sismicos a diferentes tempos ("time slices") permitiu inferir ambientes de formacao que foram validados com informacao de poco.
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光谱反演和模糊逻辑插值在哥伦比亚llanos盆地地震体叠后分辨率提高中的应用
为了改进三维地震数据的地层解释,我们试图通过光谱反演来提高垂直分辨率(Puryear & Castagna, 2008;Qiu, Junhua, Xiaohui, Hu, & Lei, 2016)和使用模糊逻辑插值的横向分辨率(Souverville et al., 2015)。在Matlab®中实现了遗传算法的光谱反演和插值,并在合成数据和高分辨率数字图像中进行了测试,两种算法都表现良好。最后,应用于哥伦比亚Carbonera组C7区间的平原盆地地震体积,得到了空间和时间分辨率更高的地震立方体。利用光谱反演和插值对地震属性方差和甜度进行了估计,发现两者的应用对地层相具有更大的解释能力。通过对三张不同时间的地震图(“时间片”)的解释,可以推断出地层环境,并通过井的信息进行了验证。为了改进对三维地震数据的地层学解释,目的是通过光谱反演提高垂直分辨率(Puryear & Castagna, 2008;Qiu, Junhua, Xiaohui, Hu, & Lei, 2016)和使用模糊逻辑插值的横向分辨率(Souverville et al., 2015)。Both the Spectral Inversion using a genetic algorithm and the interpolation are实行in演练®,and tested in合成data and where in a high resolution digital image Both算法显示良好性能。最后,当应用于大拉诺斯盆地(哥伦比亚)地震体积的Carbonera地层C7单元时,得到了一个空间和时间分辨率更高的地震立方体。在应用光谱反演和插值之前和之后,估计了地震属性的方差和余量,注意到应用这两种方法都能提高地层学相的可解释性。= =地理= =根据美国人口普查,这个县的总面积为,其中土地和(2.641平方公里)水。为了改进三维地震资料的地层解释,我们试图通过光谱反演来提高垂直分辨率(Puryear & Castagna, 2008;Qiu, Junhua, Xiaohui, Hu, & Lei, 2016)和使用模糊逻辑插值的横向分辨率(Souverville et al., 2015)。在Matlab®中实现了遗传算法的光谱反演和插值,并在合成数据和高分辨率数字图像中进行了测试,两种算法都显示出良好的性能。最后,将其应用于哥伦比亚石炭组C7区间的Llanos盆地地震体积,得到了空间和时间分辨率更高的地震立方体。对应用谱反演和插值前后的地震属性变量和甜度进行了计算,结果表明,应用谱反演和插值可以更好地解释地层相。通过对三张不同时间的地震图(“时间片”)的解释,可以推断出形成环境,并通过poco信息进行了验证。
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