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Geostatistical Seismic Inversion: One Nugget from the Tróia Conference
Mathematical Geosciences ( IF 2.6 ) Pub Date : 2021-01-25 , DOI: 10.1007/s11004-020-09910-0
Amílcar Soares

One of the characteristics that struck me most about André when I first met him in 1980 was the constant desire to expose, discuss and, above all, make accessible the emerging ideas of geostatistics. It was easy for André’s first group of Stanford students to learn and have a great deal of confidence in what they learned. It was clearly a breakthrough in relation to the existing geostatistics teaching and research culture. It was in this context that the Fourth International Geostatistics Conference was organised in 1992 in Tróia, and André was the main driving force in the organisation of that event. It was an impressive showcase of the brilliant ideas of the newly created Stanford Center for Reservoir Forecasting. The resolution of an inverse problem with the integration of seismic in the high-resolution stochastic subsurface models was one of the most remarkable nuggets presented at that conference. Louis Bortoli, Francois Alabert, André Haas and André Journel are the authors of the seminal paper on geostatistical inversion. As an interface methodology between two areas of knowledge, it was not easy to get this new type of model accepted by the geophysics community, which at the time was dominated by deterministic models of inversion. This paper presents a summary of this path and the main geostatistical methods for seismic inversion that have been developed since then, and which have today become a set of practical tools for characterising mineral resources in the petroleum and mining industry.



中文翻译:

地统计地震反演:特洛伊会议的一块金块

1980年,当我第一次见到安德烈时,最令我震惊的特征之一就是人们不断渴望揭露,讨论并最重要的是使新兴的地统计学思想成为现实。安德烈的第一批斯坦福大学学生很容易学习,并对所学内容充满信心。与现有的地统计学教学和研究文化相比,这显然是一个突破。正是在这种情况下,1992年在特洛亚组织了第四次国际地统计学会议,而安德烈(André)是组织这次活动的主要推动力。这是一个令人印象深刻的展示,展示了新成立的斯坦福水库预报中心的出色创意。在高分辨率随机地下模型中集成地震来解决反问题是该次会议上提出的最杰出的研究成果之一。Louis Bortoli,Francois Alabert,AndréHaas和AndréJournel是有关地统计学反演的开创性论文的作者。作为两个知识领域之间的接口方法,要让这种新型的模型被地球物理学界接受并不容易,当时这种模型主要由确定性反演模型主导。本文总结了此后的发展路径和主要的地震反演的地统计学方法,这些方法如今已成为表征石油和采矿业矿产资源的一组实用工具。Louis Bortoli,Francois Alabert,AndréHaas和AndréJournel是有关地统计学反演的开创性论文的作者。作为两个知识领域之间的接口方法,要让这种新型的模型被地球物理学界接受并不容易,当时这种模型主要由确定性反演模型主导。本文总结了此后的发展方向和主要的地震反演的地统计方法,这些方法如今已成为表征石油和采矿业矿产资源的一组实用工具。Louis Bortoli,Francois Alabert,AndréHaas和AndréJournel是有关地统计学反演的开创性论文的作者。作为两个知识领域之间的接口方法,要让这种新型的模型被地球物理学界接受并不容易,当时这种模型主要由确定性反演模型主导。本文总结了此后的发展路径和主要的地震反演的地统计学方法,这些方法如今已成为表征石油和采矿业矿产资源的一组实用工具。要让这种新型的模型被地球物理学界接受并不容易,当时这种模型主要由确定性反演模型主导。本文总结了此后的发展路径和主要的地震反演的地统计学方法,这些方法如今已成为表征石油和采矿业矿产资源的一组实用工具。要让这种新型的模型被地球物理学界接受并不容易,当时这种模型主要由确定性反演模型主导。本文总结了此后的发展路径和主要的地震反演的地统计学方法,这些方法如今已成为表征石油和采矿业矿产资源的一组实用工具。

更新日期:2021-01-25
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