SPE Reservoir Evaluation & Engineering
Volume 15,
Number 5,
October 2012,
pp. 554-562
Summary
Evaluation of resources such as tight sands and gas shales requires the
formulation of assessment models that are different from those used for the
inference of conventional resources. Formulations in present use are based in
classical statistics that ignore the partly organized and partly random
geographical variation of attributes related to the occurrence of hydrocarbons.
This paper is the third in a series of methodological tests aimed at enhancing
the assessment of unconventional resources through more-effective use of
implicit and explicit information contained in the data, more-accurate
evaluation of resources, and more-informative display of results. Reprocessing
of estimated-ultimate-recovery (EUR) data at the Woodford gas shale in Oklahoma
shows that subdivision of the play into areas as homogeneous as possible can
produce results comparable to those obtained using several variables correlated
to local productivity.
© 2012. Society of Petroleum Engineers
View full textPDF
(
1,004 KB
)
History
- Original manuscript received:
13 March 2012
- Revised manuscript received:
1 June 2012
- Manuscript approved:
19 June 2012
- Published online:
4 September 2012
- Version of record:
30 October 2012
View Cart
