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TECHNICAL BRIEF

Evaluation of a Statistical Method for Assessing Infill Production Potential in Mature, Low-Permeability Gas Reservoirs

[+] Author and Article Information
L. Guan

ChevronTexaco, 4800 Fournace Place, Room E537, Bellaire, TX 77401  

D. A. McVay

Department of Petroleum Engineering, Texas A&M University, 3116 TAMU, College Station, TX 77843-3116  

J. L. Jensen

Department of Petroleum Engineering, Texas A&M University, 3116 TAMU, College Station, TX 77843-3116  

G. W. Voneiff

MGV Energy, #2000 125-9th Ave SE Calgary, AB Canada T2G 0P8

J. Energy Resour. Technol 126(3), 241-245 (Oct 19, 2004) (5 pages) doi:10.1115/1.1781672 History: Received December 11, 2003; Revised June 17, 2004; Online October 19, 2004
Copyright © 2004 by ASME
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References

Figures

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Largest heterogeneity permeability distribution (Case 4) used for the simulation and MMWM testing. Scale is in md (10−3 μm2). The small white circles are the locations of the 100 wells. Cases 2 and 3 distributions have less variability but longer correlation lengths.
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Distributions of well spacing and date of first production for the 100 wells.
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Comparison of the infill well maximum production predictions from simulation and MMWM for Case 4 shows MMWM performing poorly in this highly heterogeneous reservoir
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Variability of difference between MMWM and simulation infill potential estimates decreases as number of wells, N, increases. Lines are least-squares fit to points and all have insignificant non-zero Y-axis intercepts at the 90% level. Values in parenthesis are the line slopes.

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