Another example of the application of BNT to geothermal reservoir assessment is an island in Alaska. The information from drill holes for evaluation are give in Table 1 below.

In addition, the measured hot spring temperatures are 57°C; the geothermometers for the hot springs are 142° C to 198° C; the geothermometers for sea water are 123° C to 185° C.

A likely highest-brown temperature for this resource is 180° C using a combination of seawater and spring geothermometers.  The measured temperatures are neglected because facts have zero Browness (Laws I and II).  The sea water geothermometers are especially important; they cast uncertainty over the spring temperatures hence increasing Browness by Law II.

In the absence of production data, we are free to assume all the parameters consistent with the only fact - the geology of the island.  Since the data are vague and do not extend to the expected depth of production, it is unlikely that one will easily conflict with any facts.  Therefore, one can assume that the production rate will be 1000 gpm from each 1400 m well.  Alternatively, one could assume each reservoir parameter (such as porosity, pressure, etc.) and calculated an expected rate of production.  The Browness would not change but the Oder would be decreased.

With the above information in hand,  one may define the geothermal system, designed a special electric power plant, and calculated its economic feasibility. 

(c) 1982, 2009 Jorge Branche, Jr.