Modern natural gas reservoir decline performance analysis has traditionally relied on the use of oil type curves along with the concepts of pseudopressure and pseudotime. Alternatively, it also employs empirical curve fitting of rate-time production data for reserve and future performance analysis. In this work we show that the use of a density approach leads to the formulation of a new-generation type curve applicable to the analysis of unsteady state of natural gas wells under boundary dominated flow (BDF). The resulting gas reservoir decline equation applies to any gas well producing at constant bottomhole pressure under BDF. On the basis of this decline model, a single-line, universal type curve is derived for any gas fluid and reservoir properties producing under a constant drawdown condition. New-generation analytical procedures for gas well performance analysis are presented, which does not necessitate the calculation of pseudopressure or pseudotime. Explicit OGIP predictions are thus enabled from the proposed universal type curve matching. The proposed single-line type curve is demonstrated to successfully match rate-time production BDF data and reliably estimate fluids in place for a number of numerical simulations and field cases. It is also demonstrated that the proposed formulation can be alternatively implemented in terms of straight-line analysis of 1 versus time data plots.
Density-Based Decline Performance Analysis of Natural Gas Reservoirs Using a Universal Type Curve
Department of Energy and Mineral
Engineering and EMS Energy Institute,
The Pennsylvania State University,
Contributed by the Petroleum Division of ASME for publication in the Journal of Energy Resources Technology. Manuscript received November 27, 2012; final manuscript received February 23, 2013; published online May 31, 2013. Assoc. Editor: Hong-Quan (Holden) Zhang.
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H., L. F. A., and Ye, P. (July 2, 2013). "Density-Based Decline Performance Analysis of Natural Gas Reservoirs Using a Universal Type Curve." ASME. J. Energy Resour. Technol. December 2013; 135(4): 042701. https://doi.org/10.1115/1.4023867
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