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Improved subsalt imaging and salt interpretation by RTM scenario testing and image partitioning.

机译:通过RTM场景测试和图像分区提高余量成像和盐解释。

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Advances in acquisition and processing technology help overcome imaging challenges in complex structural settings. The widespread adoption of wide-azimuth (WAZ) and the move towards full-azimuth (FAZ) acquisition geometries, both combined with increasing offsets, result in significantly improved illumination. Reduced compute cost and improved performance enabled reverse time migration (RTM) to emerge as the imaging algorithm of choice in such settings. Of course, an accurate velocity model is a key component in realizing the full potential of these acquisition geometries and algorithms. The trend is towards increasingly more complex anisotropic models, with a move from vertical transverse isotropy (VTI) to tilted transverse isotropy (TTI) and even orthorhombic. In the Gulf of Mexico (GoM), though the importance of defining an accurate anisotropic model in the supra-salt section cannot be understated, the largest contributing factor to a good image subsalt is often the correct delineation of the "salt body" itself. Without an accurate definition of the salt geometry, the subsalt image invariably remains distorted and poorly resolved. In this paper, we will focus on this portion of the depth imaging workflow and illustrate how the techniques of RTM scenario testing and image partitioning can be used in combination to both help define the salt geometry and improve the final post-migration image. We will describe a, practical workflow and the key components that we feel are necessary for its success. In addition, we will illustrate a number of lessons learned during the course of recent projects executed in the GoM.
机译:收购和加工技术的进步有助于克服复杂结构环境中的成像挑战。宽方位角(WAZ)和朝向全方位角(FAZ)采集几何形状的广泛采用,两者都与增加的偏移相结合,导致显着改善的照明。减少计算成本和改进的性能使能使相反时间迁移(RTM)作为在这种设置中选择的成像算法。当然,准确的速度模型是实现这些采集几何和算法的全部潜力的关键组件。的趋势是朝越来越复杂各向异性模型,与来自垂直横向各向同性(VTI)移动到倾斜的横向各向同性(TTI)和斜方晶系连。在墨西哥湾(GOM)中,虽然不能低估了在Supra-盐部分中定义了准确的各向异性模型的重要性,但良好的图像沉积的最大贡献因素通常是“盐体”本身的正确描绘。没有准确定义盐几何形状,Subsalt Image总是保持扭曲和解决差。在本文中,我们将专注于深度成像工作流程的这一部分,并说明如何组合使用RTM场景测试和图像分区的技术如何定义盐几何形状并改善最终的迁移后图像。我们将描述一个实用的工作流程和我们觉得的成功所必需的关键组件。此外,我们将说明在GOM中最近的项目过程中学到的一些经验教训。

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