Education Days Moscow 2017
Multiple Short Course Programme
Geostatistics for Seismic Data Integration in Earth Models
|Discipline||Exploration and Production Geophysics|
Course SummaryIn recent years, the use of geostatistics has spread from the world of reservoir characterization to that of velocity analysis, time-to-depth conversion, seismic QC, seismic inversion, uncertainty quantification and more generally to that of seismic data integration in earth models. Nevertheless, many geoscientists still regard geostatistics as little more than a statistical black-box. Actually, geostatistics is always an interpretation exercise, requiring a good understanding of the geological meaning of its assumptions. By explaining the concepts and applications in a simple way, the goal of this course is to clarify the benefits of geostatistics and help spread its use.
The course covers the use of geostatistics for interpolation (kriging), heterogeneity modeling, uncertainty quantification (simulation) and data integration (cokriging, external drift, geostatistical inversion). A variety of applications and examples are presented, including variogram analysis, velocity mapping, time-to-depth conversion, heterogeneity modeling and seismic data integration in stochastic earth models. The relationships between geostatistics and approaches more familiar to geophysicists, such as spectral analysis or Bayesian methods, are also discussed, without entering into mathematical details. This is a lively course, illustrated by numerous examples, exercises and discussion sessions.
This short course can be given over one or two days. Its main goal is to provide an overview of basic concepts and applications. The course document provides an important support to the course, further extending some of the more technical considerations.
Petroleum geoscientists, especially geophysicists and reservoir modelers, are the main target of the course. This is a great opportunity for those interested in solving practical problems involving data interpolation, earth modeling, multidisciplinary data integration or uncertainty quantification.
Dr Dubrule obtained a PhD degree in Petroleum Geostatistics with Prof. Matheron at Ecole des Mines de Paris in 1981. He then worked for Sohio Petroleum Company in the USA (1982-1986), Shell International in the Netherlands (1986-1991) and, since 1991, he has been with Elf and Total, working in France, the UK, and Qatar. During his career, he has held a variety of technical and management positions, where he has developed and applied new techniques for reservoir characterisation, earth modelling, risk analysis and uncertainty quantification. Dr Dubrule (Total/Imperial College) has been in charge of worldwide geosciences Training and Technical Image at Total in Pau (France). He is currently seconded by Total at Imperial College London. Olivier is a former President of EAGE.
Dr Dubrule (Total/Imperial College) has authored more than twenty papers in the field of geostatistics and earth modelling. In 1991, he received the President's prize of the International Association of Mathematical Geology, for “Outstanding Contribution to Mathematical Geology by an individual 35 years or younger”. In the last three decades, he has organised and chaired a number of events organised by SPE, EAGE, SEG or AAPG. Dr Dubrule (Total/Imperial College) is the author of AAPG Course Notes Series #38 “Geostatistics in Petroleum Geology”, and editor (with E. Damsleth) of “Petroleum Geostatistics” a Special Issue of EAGE's Petroleum Geoscience Journal, published in 2001. His course “Geostatistics for Seismic Data Integration in Earth Models” was the 2003 SEG/EAGE Distinguished Instructor Short Course. The course book has been translated in Russian and in Farsi.
Participants should have some basic practice of geostatistics.