Estimation Of Potential Resources Research Articles

Geothermal resource estimation of Uttarakhand region, India

With many countries dependent on imported fuels, governments and industries are diversifying energy sources, including geothermal energy. Geothermal energy, derived from the Earth's internal heat, holds significant potential as a renewable energy source. The present work focuses on the geothermal resource estimation of the Uttarakhand region in India. Critical subsurface reservoir parameters for geothermal extraction and estimates of potential resources are reviewed through an analysis of geological formations, temperature gradients, and rock permeability. Various estimation methods, including surface heat flux, volume methods, and probabilistic methods, are discussed, with a particular emphasis on the Monte Carlo method. Assessment of the resource potential of the Uttarakhand geothermal system using available data estimates the resource potential of the Uttarakhand prospect, revealing an energy estimate of 1.26*10^15 J/kg (P50 case). Correspondingly, for the P90 and P10 scenarios, the estimated heat stands at 2.30*10^15 J/kg and 2.6*10^14 J/kg, respectively. However, successful exploitation requires a thorough understanding of subsurface reservoir parameters and careful resource estimation. This comprehensive analysis offers valuable insights for policymakers, researchers, and industry stakeholders interested in harnessing geothermal energy for sustainable development.

Applications of standard and advanced statistical methods to TOC estimation in the McArthur and Georgina basins, Australia

Multiple potential shale-gas plays have been identified in Australia. The total estimates of recoverable dry and wet shale gas exceed 157 tcf. Technological advances and more informed estimations of total organic carbon (TOC) abundance and distribution might further increase the assessments of recoverable shale gas. TOC content is known only at the depths where laboratory measurements on recovered core samples are performed. However, reliable estimation of potential resources can be based only on information about vertical and lateral distribution in organic matter throughout the prospective gas-shale reservoir. This information commonly is obtained from conventional wireline logs such as gamma ray, density, transit time, and resistivity. Methods routinely used for these estimations were developed for organic-rich shales from Northern American basins, where organic matter of marine Type I and Type II typically is observed. In prospective Australian basins, organic matter ranges from marine Type I to terrestrial Type III. This fact, along with different depositional history of Australian reservoirs, might lead to quite different logging-tool responses. Thus, the relations between the amount of TOC and estimation from logs might be quite different.

A Model for Formation of Uranium Deposits in Volcanic Rocks: ABSTRACT

Uranium is found in widespread occurrences and several commercial concentrations in volcanic rocks of western North America. Mineral exploration and estimates of potential resources in this frontier geologic environment have been hampered by the lack of a viable genetic model. Geologic, geophysical, and geochemical aspects of numerous deposits are compared and synthesized, and a genetic model is presented that integrates these features. The model includes uranium migration during caldera evolution, and subsequent ground water and diagenetic effects. The comparison and model are enhanced by the availability of large chemical data sets for several example areas, and statistical properties are discussed. Exploration for these deposits should involve close attention to detailed volcanic geology, rock permeability, and trace element chemistry. Significant deposits exist in the intrusive, intra-caldera, outflow, and volcaniclastic environments. The variety of potential host environments is large, and this has presented a bewildering array to the explorationist and to the commodity specialist. Lithogeochemical exploration proves to be more successful than stream sediment studies. End_of_Article - Last_Page 931------------