000			02509nab a2200193 4500
005			20260520002019.0
008			260224s2011 xxu
245	0	0	_aA new model for modern production-decline analysis of gas/condensate reservoirs
260			_a _b _cjul./ago. 2011
270			_a23/08/2011 ; 23/08/2011
300			_a14 p. ; 10-23
520			_aTranscripción del resumen del autor. Modern production-decline analysis is a robust technique for analysis of production data from a well under variable operating conditions. It uses production rates and flowing pressures to provide reliable estimates of recoverable reserves and fluid in place. The mathematics behind this technique is similar to that of pressure-transient theory; however, the focus is different. It deals with long-term variable production data instead of short-term constant-rate transient data. Using modern decline analysis for two-phase-flow conditions (e.g., gas/condensate reservoirs) is under question because of the single-phase-flow assumption in the development of a "material-balance time" function. This is a time function that converts any decline (e.g., exponential decline) to harmonic decline to account for variable operating conditions. The purpose of this work is to develop a model to use the concepts of modern techniques for analyzing production data of single-porosity gas/condensate reservoirs. For this purpose, the governing flow equation is linearized, using appropriately defined pseudopressure and pseudotime functions. Then, the solution is obtained for constant-well-rate condition. This is followed by employing the superposition theorem to account for variable well pressure/rate conditions, resulting in definition of two-phase material-balance pseudotime. The solution developed here is coupled with an appropriate material-balance equation and used to estimate the average reservoir pressure and original gas in place from analyzing production data. The dependency of relative permeability on capillary number and non-Darcy flow is included in the formulation. Verification of the proposed method is obtained with the analysis of synthetic production data using a series of fine-grid compositional numerical simulations over a typical range of gas/condensate-reservoir parameters.
581			_a7/8
773	0		_tJournal of Canadian Petroleum Technology _g50
942			_cARTICULO
100	1		_aHeidari Sureshjani, M. _951280
100	1		_aGerami, S. _939842
999			_c185142 _d185142