This paper demonstrates how to incorporate historical data into Monte Carlo simulations, describes how the parameters are distributed, and quantifies dependencies among them. It also shows the effect of ignoring dependency and presents summary statistics on field data.

Keywords:
software, permeability, porosity, upstream oil & gas, artificial intelligence, modeling & simulation, simulation, input parameter, field data, lognormal distribution
Subjects:
Formation Evaluation & Management, Information Management and Systems, Reservoir Simulation
Copyright 1994, Society of Petroleum Engineers
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