Stress-based mathematical model for graded proppant injection in coal bed methane reservoirs
Date
2013
Authors
Keshavarz, A.
Mobbs, K.
Khanna, A.
Bedrikovetski, P.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Australian Petroleum Production and Exploration Association (APPEA) Journal, 2013, vol.53, iss.1, pp.337-346
Statement of Responsibility
A. Keshavarz, K. Mobbs, A. Khanna, and P. Bedrikovetsky
Conference Name
2013 Australian Petroleum Production and Exploration Association Conference (26 May 2013 - 29 May 2013 : Brisbane, Qld.)
DOI
Abstract
A technology called graded proppant (propping agent) injection that consists of the injection of proppant particles, with increasing sizes and decreasing concentrations, into a naturally fractured reservoir results in deeper percolation of the particles into the natural fracture system, and thus expansion of the stimulated reservoir area. The placement of graded proppant particles keeps the fractures open, even after pressure decline due to production. There is, therefore, an enhancement in the well productivity. This proposed technology could be used to improve the productivity of CSG wells and other unconventional resources; for example, in shales, tight gas, and geothermal reservoirs. In this peer-reviewed paper, a mathematical model for well injectivity/productivity was developed for graded particle injection in a vertical well, lying at the centre of a circular drainage area. The model is based on an analytical solution of the quasi 1D problem of coupled axisymmetric fluid flow and geomechanics. Explicit analytical equations were derived for stress, and pressure and permeability distributions, as well as for the well index during injection and production. Results of previous computational fluid dynamic studies were used to determine the hydraulic resistance resulting from proppant plugging in the fractured system. An optimal stimulation radius was identified, which resulted in the highest increment in the productivity index due to the application of graded proppant injection technology. The model was subsequently used for a sensitivity analysis using field data. The results showed that the productivity index increased more than four times by the application of this technology.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright status unknown