Seismic Reservoir Modeling Theory, Examples, and Algorithms

English | 2021 | ISBN: 1119086183 | 259 pages | True PDF EPUB | 77.52 MB
Seismic reservoir characterizationaimsto build 3-dimensional models of rock and fluid properties, including elastic and petrophysicalvariables, to describe andmonitor the state of the subsurfacefor hydrocarbonexploration andproduction andforCO₂ sequestration. Rock physics modeling and seismic wave propagation theory provide a set of physical equations to predict the seismic response of subsurface rocks based on their elastic and petrophysical properties. However, the rock and fluid properties are generally unknown and surface geophysical measurements areoftenthe only available data to constrain reservoir models far away from well control. Therefore,reservoirproperties are generally estimated from geophysical data as a solution of an inverse problem, by combining rock physics and seismic models with inverse theory and geostatistical methods, in the context of the geologicalmodelingof the subsurface. A probabilistic approach to the inverse problem provides the probability distribution of rock and fluid properties given the measured geophysical data and allows quantifying the uncertainty of the predicted results. The reservoir characterization problem includes both discrete properties, such as facies or rock types, and continuous properties, such as porosity, mineral volumes, fluid saturations, seismic velocities and density.