INVERSE-BASED SEISMIC INTERPRETATION FOR PETROLEUM RESERVOIR CHARACTERIZATION

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see url This course addresses mathematical methodologies for seismic reservoir characterization in order to provide 3-dimesentional models of the main properties in the reservoir for fluid flow simulations and enable 4D reservoir modeling characterization by time-lapse seismic data integration. These properties generally include rock properties such as porosity, lithology, water and hydrocarbon saturations, pressure and permeability are estimated from well log and seismic data. This course includes multiple innovative and sate of the art inverse modeling methodologies for seismic reservoir characterization: Case studies will be discussed to illustrate the field application of the concepts in the course.

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source site This course is designed for professional reservoir engineers, petrophysicists, geophysicists, geologists and asset managers

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  • Definition of the rocks. Clastics sedimentology basics
  • Concept of stress and strain. Stress –strain relationships. General Hooke’s law
  • The connections between Young Modules, Poisson’s ratios and Thomson’s parameters
  • Velocity-Porosity Models: Critical Porosity and Nur’s Modified Vogt Average.
  • Velocity-Porosity-Clay Models: Castagna’s Empirical Relations for Velocities
  • Vp –Vs Relations. Velocity-Density Relations
  • Updating a reservoir model to behave as closely as possible to the real reservoir
  • Estimation of reservoir properties using inversion methods

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  • Introduction to Reservoir Modeling and Inverse Theory
  • Rock Physics and seismic methods for characterizing petroleum reservoirs
  • Mathematical modeling of elastic properties of minerals and rocks
  • Seismic waves in real media and fluid effects on wave propagation
  • Seismic based reservoir characterization
  • Seismic data processing and conditioning
  • Forward modeling and inverse problem. Travel –time inversion
  • Dynamic data integration and history matching with 4D Seismic Data
  • Micro-seismic events. Analysis raw data
  • Estimation of permeability base on MS event locations
  • Permeability upscaling: from lab to field
  • Field case studies and hands-on practice