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Geological and Geophysical Inversion by Hierarchical Classification – Combining Seismic Stratigraphic and AVO Attributes

机译:通过分层分类进行地质和地球物理反演-结合地震地层和AVO属性

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We present a case study in which both texture facies and fluid prediction are linked by performing a hierarchical classification and estimation scheme whereby a multiattributes volume, which captures seismic stratigraphy and texture information, is combined with AVO attributes to map fluid response into a single, coherent seismostratigraphic and reservoir facies volume.The benefits of the application of seismic attributes classification in subsurface studies have been widely published. From horizon-based facies classification maps to more recent 3D multiattribute classification volumes, the approach is usually the same and driven by a twostep procedure. First, an unsupervised classification aims at revealing the natural clustering of the data, and second, a supervised scheme is applied where training and validation data are used to redefine the class cloud point centers based on well log data flagging a specific fluid or lithology. Recent advances in computing power enable the generation of multitrace or texture attributes, which capture the stratigraphic or structural elements of seismic data. In these workflows, the focus is always either, on the seismic texture facies for seismostratigraphic purposes or, on the reservoir facies for fluid and potential lithology detection and discrimination. The downside of these approaches is that they are not combined into a single common paradigm. We present a case study in which both texture facies and fluid prediction are linked by performing a hierarchical classification and estimation scheme whereby a multiattributes volume, which captures seismic stratigraphy and texture information, is combined with AVO attributes to map fluid response into a single, coherent seismostratigraphic and reservoir facies volume. This methodology is applied for exploration data screening in offshore Borneo in the Greater Samarang sub-block (East Baram Delta, offshore Sabah, Malaysia). In this case study, geological framework, seismic geomorphology, seismic stratigraphy, and combined fluid response from AVO data calibrated with well data facilitate the development of new play concepts in the highstand system tracts and in the morphology generated by incisions in the shoreface deposits during the low stands.
机译:我们提供了一个案例研究,其中通过执行分级分类和估计方案将纹理相和流体预测联系在一起,从而将捕获地震地层和纹理信息的多属性体与AVO属性结合起来,将流体响应映射到一个单一的,连贯的地震地层和储层相体积。在地下研究中应用地震属性分类的好处已被广泛发表。从基于地平线的相分类图到最新的3D多属性分类量,该方法通常是相同的,并且由两步过程驱动。首先,无监督分类旨在揭示数据的自然聚类,其次,应用有监督方案,其中基于标记特定流体或岩性的测井数据,使用训练和验证数据来重新定义类云点中心。计算能力的最新进展使得能够生成多迹线或纹理属性,从而捕获地震数据的地层或结构要素。在这些工作流程中,重点始终是针对地震地层目的的地震质地相或针对流体和潜在岩性检测和判别的储层相。这些方法的缺点是它们没有组合成一个单一的通用范例。我们提供了一个案例研究,其中通过执行分级分类和估计方案将纹理相和流体预测联系在一起,从而将捕获地震地层和纹理信息的多属性体积与AVO属性结合起来,将流体响应映射到一个单一的,连贯的地震地层和储层相体积。该方法适用于大萨马兰子区块(马来西亚沙巴近海的东巴拉姆三角洲)婆罗洲近海的勘探数据筛选。在本案例研究中,地质框架,地震地貌学,地震地层学以及结合井数据对AVO数据进行了校正的流体响应,有利于开发高架系统道和在沉积期间沿岸沉积物的切口产生的形态的新游隙概念。低矮的立场。

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