GEOTHERMAL MAPPING IN ALBERTA - A STATISTICALLY ROBUST APPROACH
The temperature data available from the oil and gas industry has long been recognized to contain significant error and systematic bias. In order to develop a reliable database of temperature measurements, systematically biased data have been manually removed, and the remaining random errors were removed using a statistical data re-sampling method.
The thermal conductivity model is based on using the lithology known from a number of wells in the basin, and assigning appropriate thermal conductivity values to each lithology. The thermal conductivity in part explains some of the thermal anomalies in the temperature data, although spatial variation in heat flow from below also significantly affects spatial variations in temperature. With this new set of data, temperature anomalies are better understood, facilitating geothermal prospecting and allowing for a more robust study of the relationship between Precambrian terrane boundaries and heat flow.