Based on the principles of fuzzy modeling, the principles and algorithms of a mathematical model for predicting the parameters of oil and gas fields have been created using geological and geophysical information under conditions of uncertainty. Using the Mamdani algorithm, to obtain the final forecast rules, a chain of fuzzy relations between the initial and final forecast parameters was established by combining fuzzy relations, and for the forecast parameters in this case, the uncertainty field was used, since this field is a function of spatial coordinates.
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