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SeiVis: An Interactive Visual Subsurface Modeling Application

机译:SeiVis:交互式可视化地下建模应用程序

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The most important resources to fulfill today’s energy demands are fossil fuels, such as oil and natural gas. When exploiting hydrocarbon reservoirs, a detailed and credible model of the subsurface structures is crucial in order to minimize economic and ecological risks. Creating such a model is an inverse problem: reconstructing structures from measured reflection seismics. The major challenge here is twofold: First, the structures in highly ambiguous seismic data are interpreted in the time domain. Second, a velocity model has to be built from this interpretation to match the model to depth measurements from wells. If it is not possible to obtain a match at all positions, the interpretation has to be updated, going back to the first step. This results in a lengthy back and forth between the different steps, or in an unphysical velocity model in many cases. This paper presents a novel, integrated approach to interactively creating subsurface models from reflection seismics. It integrates the interpretation of the seismic data using an interactive horizon extraction technique based on piecewise global optimization with velocity modeling. Computing and visualizing the effects of changes to the interpretation and velocity model on the depth-converted model on the fly enables an integrated feedback loop that enables a completely new connection of the seismic data in time domain and well data in depth domain. Using a novel joint time/depth visualization, depicting side-by-side views of the original and the resulting depth-converted data, domain experts can directly fit their interpretation in time domain to spatial ground truth data. We have conducted a domain expert evaluation, which illustrates that the presented workflow enables the creation of exact subsurface models much more rapidly than previous approaches.
机译:满足当今能源需求的最重要资源是化石燃料,例如石油和天然气。在开发油气藏时,为了使经济和生态风险最小化,地下结构的详细而可信的模型至关重要。创建这样的模型是一个反问题:从测得的反射地震中重建结构。这里的主要挑战是双重的:首先,在时域中解释高度模糊的地震数据中的结构。其次,必须根据这种解释建立速度模型,以使模型与井的深度测量值相匹配。如果不可能在所有位置都获得匹配,则必须更新解释,回到第一步。这导致在不同步骤之间来回漫长,或者在许多情况下导致非物理速度模型。本文提出了一种新颖的,集成的方法,可以根据反射地震交互地创建地下模型。它使用基于分段全局优化和速度建模的交互式层位提取技术,整合了地震数据的解释。实时计算和可视化解释和速度模型的更改对深度转换模型的影响,从而实现了集成的反馈环路,该环路可实现时域地震数据和深度域井数据的全新连接。通过使用新颖的联合时间/深度可视化技术,可以描绘原始图像和由此产生的深度转换数据的并排视图,领域专家可以将其时域解释直接适合于空间地面真实数据。我们进行了领域专家评估,该评估表明,与以前的方法相比,提出的工作流程能够更快地创建精确的地下模型。

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