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Can I read Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples on EtoBox?
Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples by Dario Grana; Leonardo Azevedo; Leandro de Figueiredo; Patrick Connolly; Tapan Mukerji is a Earth and Planetary Sciences article available to read on EtoBox.
What is Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples about?
The physics that describes the seismic response of an interval of saturated porous rocks with known petrophysical properties is relatively well understood and includes rock physics, petrophysics, and wave propagation models. The main goal of seismic reservoir characterization is to predict the rock and fluid properties given a set of seismic measurements by combining geophysical models and mathematical methods. This modeling challenge is generally formulated as an inverse problem. The most common geophysical inverse problem is the seismic (or elastic) inversion, i.e., the estimation of elastic properties, such as seismic velocities or impedances, from seismic amplitudes and traveltimes. The estimation of petrophysical properties, such as porosity, lithology, and fluid saturations, also can be formulated as an inverse problem and is generally referred to as rock-physics (or petrophysical) inversion. Several deterministic and probabilistic methods can be applied to solve seismic inversion problems. Deterministic algorithms predict a single solution, which is a “best” estimate or the most likely value of the model variables of interest. In probabilistic algorithms, on the other hand,
Who reads Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples?
It is typically read by researchers, students, and practitioners in Earth and Planetary Sciences.
- Author
- Dario Grana; Leonardo Azevedo; Leandro de Figueiredo; Patrick Connolly; Tapan Mukerji
- Publisher
- Society of Exploration Geophysicists
- Published
- 2022
- Language
- EN
- Field
- Earth and Planetary Sciences (Physical Sciences)