Litho-seismic data handling for hydrocarbon reservoir estimate: fuzzy system modelling approach

Abstract

Fuzzy system modelling provides a strict mathematical environment in which vague conceptual phenomena can be rigorously studied. For hydrocarbon reservoir, its data model consists of parameters such as location identifier, time as well as attributes such as porosity, saturation, hydrocarbon and formation volume factor. These are usually developed from the litho-seismic data of an oilfield. In particular, fuzzy descriptions are obtained for the main parameters that define the structure and model of the hydrocarbon formation. From these, the membership grade functions of the fuzzy subsets are determined using an interval [0,1]. To simplify the model formulation of the ill-defined problem of oilfield services, the results of core analysis are expressed with linguistic quantifiers such as minimum, maximum or most likely porosity, saturation hydrocarbon, etc. Our model provides a new approach for tackling the sustainable development and management of hydrocarbon reservoir on stream and enhanced recovery. In this example, the potential acreage is mapped and the reservoir estimate is obtained easily using defuzzifier such as mean of maxima.