This paper details a methodology for taking into account seismic information into 3D high resolution stochastic simulations of lithofacies. The simulation is based on a non stationary truncated gaussian approach. Within this frame, a 3D matrix of facies proportion is built. It is estimated from both well and seismic-derived proportions. Thus the seismic attributes are previously turned into soft estimates of proportions with different possible statistical calibration techniques. An application of this methodology to the simulation of lithotypes for a carbonate reservoir is described.

Keywords:
spe annual technical conference, proportion matrix, reservoir characterization, fournier, seismic information, calibration, machine learning, lithofacies proportion, lithofacies simulation, simulation
Subjects:
Reservoir Characterization, Reservoir Simulation, Information Management and Systems, Geologic modeling, Seismic processing and interpretation
Copyright 1999, Society of Petroleum Engineers
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