EAGE Self-Paced Courses
Learn New Knowledge at Your Own Pace!
Self-paced courses are offered on our Learning Geoscience platform and include pre-recorded video lectures and quizzes that you can complete with your own schedule over a set period. A certificate of attendance will be available upon completion of all course requirements.
Geostatistical Reservoir Modeling
Reservoir modeling provides a set of techniques to create three-dimensional numerical earth models in terms of elastic, petrophysical and dynamic properties of reservoir rocks. The course focuses on modeling of facies and rock properties from geophysical properties and on quantification of uncertainty of these models. Mathematical and physical models of the reservoir are generally uncertain due to the lack of information, noise in data measurements, approximations and assumptions. Hence, building a reservoir model requires the integration of several disciplines, such as seismic inversion, rock physics, and geostatistics. Seismic inversion aims to transform the measured seismic data into elastic parameters that can be interpreted to determine rock and fluid properties. Rock physics describes a reservoir rock by physical properties such as porosity and compressibility, that affect the seismic response in porous rocks. Rock physics aims to establish relations between these rock and fluid properties and the observed seismic data. Geostatistics aims to provide realistic representations of the reservoirs in terms of structure and spatial distribution of rock and fluid properties by combining geological knowledge and statistical methods. The course covers the fundamental theory of statistical methods for reservoir modeling and uncertainty quantification techniques for reservoir predictions. It is divided into four main parts: fundamentals of statistics, rock physics, geostatistics, and geophysical inverse problems for reservoir characterization. Uncertainty propagation from measured data, through physical models to model predictions will be studied with a focus on seismic data inversion and static reservoir characterization.
Carbonate Reservoir Characterization
This carbonate reservoir characterisation course focuses on the analysis of carbonate depositional textures and the subsequent diagenetic modifications as the main controls on the pore system evolution, heterogeneity and complexity. The intricate inter-relationship of the depositional and burial history can be unravelled to allow the prediction of reservoir facies, and hence, aid reconstruction and development of three-dimensional reservoir models. This course demonstrates the value of understanding pore system evolution as a part of large-scale volumetric assessments and the development of carbonate reservoirs.
Reservoir quality in carbonate successions is often defined by the storage capacity, flow potential (ie. porosity and permeability respectively, measurements that are often acquired during conventional core analysis) and connectivity of pores (recorded as the pore-throat radius distributions during special core analysis). The interplay between these quantifiable factors (including sample-scale heterogeneities) is inevitably linked to the original depositional characteristics of the carbonate sediments, together with their susceptibility to post-depositional diagenetic alteration, which results in the ultimately complex pore system. Therefore, the classification of individual pore types will be detailed in this course, with their primary depositional or secondary diagenetic origin being discussed in context with sedimentological and stratigraphic models in order to underpin their spatial relationships and potential connectivity. In addition, the characterisation of micrite textures will be discussed to illustrate their impact on the microporosity, factors that are particularly important to consider in tight unconventional reservoirs.
The depositional controls on reservoir properties that will be taken into consideration in this course include the texture, grain size, clay and matrix content as well as the type and quantity of allochems. The relationship between dissolution processes that result in an enhancement of the pore system, cementation processes that reduce the pore volume and the resultant connectivity and fluid flow pathways will be assessed to constrain the dominant diagenetic controls on the reservoir properties. In addition to this, the process of dolomitisation will be scrutinised in order to determine if and how this process enhances and/or reduces reservoir properties.
Integrating the key controls on reservoir quality within the sedimentological framework enables the establishment of a conceptual reservoir architecture model, which can be used to assess and predict the vertical and lateral variations in porosity and permeability at the reservoir and/or field scale. This course outlines how to conceptually build a reservoir architecture model, which in turn can be used to aid reservoir modelling.