<p>We develop a method of predicting field-wide gas (or oil)
production from unconventional reservoirs, using the Barnett shale as an
illustration. Our method has six steps. First, divide a field of interest (here
Barnett) into geographic/depositional regions, where -- upon statistical
testing -- gas and/or oil production are statistically uniform. Second, in each region <i>i</i>, fit a generalized extreme value distribution to every cohort of
gas/oil wells with 1,2,…,<i>n<sub>i</sub></i> years on production. Third, obtain accurate
estimates of uncertainties in the distribution parameters for each regional well
cohort. As a result, obtain <i>n<sub>i </sub></i>points for the stable mean
(P<sub>50</sub>) well prototypes for each region <i>i</i>, and the corresponding high/low (P<sub>10</sub>/P<sub>90</sub>)
bounds on well production. Fourth, by
adjusting the producible gas/oil in place and pressure interference times
between the adjacent hydrofractures, fit each statistical P<sub>50 </sub>well
prototype with a physics-based scaling curve that also accounts for late-time external
gas inflow. The physics-scaled well
prototypes now extend 10-20 years into the future. Fifth, for each region, time-shift the
dimensional, scaled well prototype and multiply it by the number of well
completions during each year of field production. Add the production from all regions to match
the past field production and predict
decline of all wells up to current time. These well productivity estimates are
more accurate and better quantified than anything a production decline curve analysis might yield. Sixth, by assuming
different future drilling programs in each region, predict field production
futures. We hope that the US Securities and Exchange Commission will adopt our
robust, transparent approach as a new standard for booking gas (and oil)
reserves in shale wells.</p><p></p>