Predicting petrophysical properties by simultaneous inversion of seismic and reservoir engineering data.

摘要

Porosity and permeability are the most difficult properties to determine in subsurface reservoir characterization, yet usually they have the largest impact on reserves and production forecasts, and consequently on the economy of a project. The difficulty of estimating them comes from the fact that porosity and permeability may vary significantly over the reservoir volume, but can only be sampled at well locations, often using different technologies at different scales of observation. An accurate estimation of the spatial distribution of porosity and permeability is of key importance, because it translates into higher success rates in infill drilling, and fewer wells required for draining the reservoir.; The purpose of this thesis is to enhance the characterization of subsurface reservoirs by improving the prediction of petrophysical properties through the combination of reservoir geophysics and reservoir engineering observations and models. To fulfill this goal, I take advantage of the influence that petrophysical properties have on seismic and production data, and formulate, implement, and demonstrate the applicability of an inversion approach that integrates seismic and production-related observations with a-priori information about porosity and permeability. Being constrained by physical models and observations, the resulting estimates are appropriate for making reservoir management decisions.; I use synthetic models to test the proposed inversion approach. Results from these tests show that, because of the excellent spatial coverage of seismic data, incorporating seismic-derived attributes related to petrophysical properties can significantly improve the estimates of porosity and permeability. The results also highlight the importance of using a-priori information about the relationship between porosity and permeability.; The last chapters of this thesis describe a practical application of the proposed joint inversion approach. This application includes a rock physics and seismic characterization of the fluvial sandstones in the Cretaceous K2 Unit of the Apiay-Guatiquía Oil Field. First I study the relationship between petrophysical and seismic properties for the K2 Unit reservoir rocks, at the pore, well log, and field scales. Then, I apply the joint inversion methodology I propose to the estimation of porosity and permeability in the drainage area of one of the wells in this field.