Numerical reservoir simulation has been used to describe mechanism of methane
gas desorption process, diffusion process, and fluid flow in a coalbed methane reservoir.
The reservoir simulation model reflects the response of a reservoir system and the
relationship among coalbed methane reservoir properties, operation procedures, and gas
production. This work presents a procedure to select the optimum well spacing scenario
by using a reservoir simulation.
This work uses a two-phase compositional simulator with a dual porosity model
to investigate well-spacing effects on coalbed methane production performance and
methane recovery. Because of reservoir parameters uncertainty, a sensitivity and
parametric study are required to investigate the effects of parameter variability on
coalbed methane reservoir production performance and methane recovery. This thesis
includes a reservoir parameter screening procedures based on a sensitivity and
parametric study. Considering the tremendous amounts of simulation runs required, this
work uses a regression analysis to replace the numerical simulation model for each wellspacing
scenario. A Monte Carlo simulation has been applied to present the probability
function.
Incorporated with the Monte Carlo simulation approach, this thesis proposes a
well-spacing study procedure to determine the optimum coalbed methane development
scenario. The study workflow is applied in a North America basin resulting in distinct
Net Present Value predictions between each well-spacing design and an optimum range
of well-spacing for a particular basin area.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2010-12-8628 |
| Date | 2010 December 1900 |
| Creators | Sinurat, Pahala Dominicus |
| Contributors | Wattenbarger, Robert A. |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | thesis, text |
| Format | application/pdf |
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