Abstract
Abstract This paper presents a new approach which can be used for the computer-automated curve fitting for decline curve analysis. Arps' empirical-decline-curve equations for the exponential, hyperbolic and harmonic solutions are manipulated to produce a single relation which is a linear combination of variables: q, Np and qt. A linear multiple regression is performed for these variables to obtain optimal coefficients of the relation which are related to qi, Di and b in Arps' equations. Once qi, Di and b are known, the future production rate can be determined. Thus, the type-curve matching is not needed. The proposed approach is, therefore, useful in application of the computer-aided analysis for the production forecast for oil and gas wells.
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