Course Objective

     The main objective of the course is to develop a comprehensive understanding of oil and gas reservoirs, their components, the complexity of their characterisation and the crucial role that seismic techniques play during the life of these reservoirs.

Course Content

    The course starts with a definition of reservoirs components and the need for a comprehensive management during a long period of time. Within this management, seismic techniques play a pivotal role during the E & P chain.

    The course passes in review each phase of the chain and indicates the critical data for reservoir characterisation that the seismic can provide during this phase.

    Seismic data are the main source of information for reservoir investigation during the exploration phase with structural, stratigraphy interpretations and acoustic inversion.

    During early stages of development and production, the integration of well data will refine reservoir parameters and introduce new ones. Then comes reservoir monitoring with 4-D seismic surveys. When enhanced oil recovery (EOR) is necessary, more accurate representation of subsurface structures and properties need to be performed. Seismic attributes can play this role.

     Well seismic can give valuable information around drilled wells during production and optimise new well placements. Seismic data serves as a key input for building and updating reservoir models. Today, emerging techniques play an important role in reservoir characterisation. Machine learning can be applied to analyse vast amounts of seismic data and extract meaningful patterns. Machine learning and Artificial Intelligence (AI) contribute to improved reservoir characterization by enhancing the identification of geological features, lithology variations, and fluid distributions.