A new database structure for the IHFC Global Heat Flow Database

Periodic revisions of the Global Heat Flow Database (GHFD) take place under the auspices of the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). A growing number of heat-flow values, advances in scientific methods, digitization, and improvements in database technologies all warrant a revision of the structure of the GHFD that was last amended in 1976. We present a new structure for the GHFD, which will provide a basis for a reassessment and revision of the existing global heat-flow data set. The database fields within the new structure are described in detail to ensure a common understanding of the respective database entries. The new structure of the database takes advantage of today's possibilities for data management. It supports FAIR and open data principles, including interoperability with external data services, and links to DOI and IGSN numbers and other data resources (e.g., world geological map, world stratigraphic system, and International Ocean Drilling Program data). Aligned with this publication, a restructured version of the existing database is published, which provides a starting point for the upcoming collaborative process of data screening, quality control and revision. In parallel, the IHFC will work on criteria for a new quality scheme that will allow future users of the database to evaluate the quality of the collated heat-flow data based on specific criteria

Puebla TLOG.csv

16,314 consecutive high-resolution (millikelvin) ground temperature records collected at 15-minute intervals from (UTM time) 01:30 28 March 2015 to 23:45 13 September 2015.<div>Depths 0.00m, 0.10m, 0.30m, 0.50m, 0.70m, 0.90m and 1.10m.</div><div>Location: 19.92216°N, 98.12475°W</div><div>Floor of a pine forest on the outskirts of the township of Cruz Colorada, Puebla, Mexico.</div

Tynong TLOG.csv

9,401 consecutive time-stamped high-resolution (millikelvin) ground temperature records collected at 15-minute intervals from (UTM+10 time) 15:13 20 December 2016 to 13:13 28 March 2017.<div>Depths 0.00m, 0.10m, 0.30m, 0.50m, 0.70m, 0.90m and 1.10m.</div><div>Location: 38.06389°S, 145.63472°E</div><div>Field on undulating hills cleared of original riparian forest, Tynong North, Victoria, Australia.</div

Need for Internationally Recognized Guidelines for Assessing EGS Resources

ABSTRACT It is recognized by virtually every credible organization such the IEA, MIT, IGA etc that the EGS resource might be extensive in regions with appropriate igneous basement, yet it appears that in some instances the assessment of the potential of EGS is being manipulated and degraded to suit political agendas. The data used to quantify EGS potential are much the same regardless of who is making the assessment. Ideally, then, the estimated resource should in principle be relative constant across different assessments, with perhaps minor variation. Additionally, there appears to be misunderstanding between resource and reserve. To quantify the reserve in EGS is going to be difficult as there is no specific boundary similar to that in mineral or hydrocarbon reserve where the resource is locked up in a set boundary. For EGS, the igneous rock could be very extensive and a possible reserve would be the boundary of where the EGS reservoir could be economically created

Carrapateena TLOG.csv

24,931 consecutive time-stamped high-resolution (millikelvin) ground temperature records collected at approximately 15-minute intervals from (UTM time) 07:19 05 December 2012 to 22:26 21 August 2013.<div>Depths 0.10m, 0.30m, 0.50m, 0.70m, 0.90m and 1.10m.</div><div>Location: 31.21808°S, 137.49747°E</div><div>Semi-arid gibber plain near Carrapateena mine site in South Australia.</div

Heat-producing crust regulation of subsurface temperatures: A stochastic model re-evaluation of the geothermal potential in southwestern Queensland, Australia

A large subsurface, elevated temperature anomaly is well documented in Central Australia. High Heat Producing Granites (HHPGs) intersected by drilling at Innamincka are often assumed to be the dominant cause of the elevated subsurface temperatures, although their presence in other parts of the temperature anomaly has not been confirmed. Geological controls on the temperature anomaly remain poorly understood. Additionally, methods previously used to predict temperature at 5 km depth in this area are simplistic and possibly do not give an accurate representation of the true distribution and magnitude of the temperature anomaly. Here we re-evaluate the geological controls on geothermal potential in the Queensland part of the temperature anomaly using a stochastic thermal model. The results illustrate that the temperature distribution is most sensitive to the thermal conductivity structure of the top 5 km. Furthermore, the results indicate the presence of silicic crust enriched in heat producing elements between and 40 km

Australian mean land-surface temperature

The mean land-surface temperature represents an important boundary condition for many geothermal studies. This boundary is particularly important to help constrain the models made to analyse resource systems, many of which are shallow in nature and observe relatively small thermal gradients. Consequently, a mean land-surface temperature map of the Australian continent has been produced from 13 years of MODIS satellite imagery, for the period 2003–2015. The map shows good agreement with independent methods of estimating mean land-surface temperature, including borehole surface-temperature extrapolation and long-term, near-surface ground measurements. In comparison to previously used methods of estimating mean land-surface temperature, our new estimates are up to 12 °C warmer. The MODIS-based method presented in this study provides spatially continuous estimates of land-surface temperature that can be incorporated as the surface thermal boundary condition in geothermal studies. The method is also able to provide a quantification of the uncertainties expected in the application of these estimates for the purposes of thermal modelling