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Geostatistics for Seismic Data Integration in Earth Models

Instructor: Prof. Olivier Dubrule (Imperial College London)

In recent years the use of geostatistics has spread from the world of reservoir characterization to that of velocity analysis, 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. By explaining the concepts and applications, this course clarifies the benefits of geostatistics and helps spread its use.

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Seismic Interpretation: Fundamental for Prospect Generation

Instructor: Mr. Dean Powell (Powell Seismic Services)

Clever software can pick seismic events but creative and informed interpreters are needed to produce prospects. This course moves beyond the mechanics of picking and helps participants understand and integrate the range of geophysical and geological considerations that lead to a rigorous seismic interpretation. From the basics of seismic acquisition and processing, through a review of seismic attributes, seismic stratigraphy and QI tools the course uses a mixture of theory, exercises, case histories and exploration experience to help participants gain confidence in using seismic data to generate prospects worth drilling.

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Integrated Reservoir Modelling

Instructor: Prof. Dr Michael Poppelreiter (University Technology Petronas)

This outcrop-based course provides participants with an overview of the integrated reservoir modeling process, tools and tasks. The data set is from a Tertiary carbonate reservoir. It exposes participants to hands-on integrated reservoir modeling. A conceptual reservoir model and a digital reservoir model are constructed on paper and digitally. Common sedimentological techniques such as section logging, gamma ray measurements and interpretation of aspect ratios from photo panels and maps will be demonstrated and practiced. All data required to build models are actual industry data. The uncertainty of all data sets is assessed. Alternative models are constructed. QC of data versus interpretation is an integral part of the course. A strong emphasis is put on stratigraphic correlation framework and structural model building. Property modeling and volumetrics are carried out interactively as a team exercise. Team interaction is a fundamental component of this course.

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Seismic Attributes and their Applications in Seismic Interpretation

Instructor: Dr Behzad Alaei (Earth Science Analytics)

Seismic attributes have been increasingly used in both exploration and reservoir characterization and has been integrated in the seismic interpretation process. Seismic attributes will be introduced with their applications in seismic interpretation using examples from different sedimentary basins and also through certain attribute analysis workflows. It is aimed to provide geoscientists with the minimum required theory of how each attribute is generated with greater emphasis on the applications in the exploration and reservoir characterization. Elementary trace-based attributes, Dip-Azimuth, coherence, fault attributes, and frequency decomposition will be presented individually as well as in different workflows to identify, and extract certain geological objects.

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Seismic Sequence Stratigraphy

Instructor: Mr Klaus Fischer (Wintershall)

The course gives a general introduction to the method of sequence stratigraphy with a special focus on seismic stratigraphy. It gives a detailed overview on the methods of seismic sequence analysis, its merits and its limitations. The methodology of seismic facies analysis and its potential use for facies prediction in the subsurface is explained. The course is focusing on the practical application of the seismic stratigraphic interpretation method, and gives an overview of a variety of potential tools available in modern interpretation systems which can be used within the workflow in order to support the interpreter.

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