The use of sequestered carbon dioxide(CO) as the heat exchange fluid in enhanced geothermal system(EGS) has significant potential to increase their productivity, contribute further to reducing carbon emissions and inc...The use of sequestered carbon dioxide(CO) as the heat exchange fluid in enhanced geothermal system(EGS) has significant potential to increase their productivity, contribute further to reducing carbon emissions and increase the economic viability of geothermal power generation. Coupled COsequestration and geothermal energy production from hot dry rock(HDR) EGS were first proposed 15 years ago but have yet to be practically implemented. This paper reviews some of the issues in assessing these systems with particular focus on the power generation and COsequestration capacity. The Habanero geothermal field in the Cooper Basin of South Australia is assessed for its potential COstorage capacity if supercritical COis used as the working fluid for heat extraction. The analysis suggests that the major COsequestration mechanisms are the storage in the fracture-stimulation damaged zone followed by diffusion into the pores within the rock matrix. The assessment indicates that 5% of working fluid loss commonly suggested as the storage capacity might be an over-estimate of the long-term COsequestration capacity of EGS in which supercritical COis used as the circulation fluid.展开更多
Constant attempts have been made throughout human history to find solutions to complex issues.These attempts resulted in industrial revolutions and the transition from manual labor to machines and new technologies.The...Constant attempts have been made throughout human history to find solutions to complex issues.These attempts resulted in industrial revolutions and the transition from manual labor to machines and new technologies.The latest advancements in artificial intelligence(AI)are revolutionary.The use of these smart technologies in mining can lead to increased profitability,enhanced performance,improved safety,and better adherence to environmental regulations.In this paper,the applications of AI and digital twin systems in mining operations are reviewed,covering various components,including mineral exploration,drilling,blasting,loading,hauling,mineral processing,and environmental issues.Critical data inputs for each component are identified,and relevant tools and methods are discussed.These will facilitate the development of digital twin models with learning,simulation,prediction,and optimization capabilities.This study provides valuable insights into fully integrated digital twin mining systems,which will significantly improve mining efficiency and sustainability.Although innovative technologies,such as the Internet of Things(IoT)and other intelligent tools,are increasingly being used in the mining sector,many mining processes still depend on human oversight to deal with challenges,such as remote operations,geological variability,high investment costs,and a skills gap.There is,therefore,significant potential to enhance the use of sensors and IoT devices to support data collection for more integrated and powerful digital twin systems to drive further innovation and operational improvements across the mining value chain.展开更多
基金funded by Australian Research Council Discovery Project(Grant No.DP110104766)financial support from the China Australia Geological Storage of CO_2 Project(CAGS)Australia-China Young Researchers Exchange Program 2012
文摘The use of sequestered carbon dioxide(CO) as the heat exchange fluid in enhanced geothermal system(EGS) has significant potential to increase their productivity, contribute further to reducing carbon emissions and increase the economic viability of geothermal power generation. Coupled COsequestration and geothermal energy production from hot dry rock(HDR) EGS were first proposed 15 years ago but have yet to be practically implemented. This paper reviews some of the issues in assessing these systems with particular focus on the power generation and COsequestration capacity. The Habanero geothermal field in the Cooper Basin of South Australia is assessed for its potential COstorage capacity if supercritical COis used as the working fluid for heat extraction. The analysis suggests that the major COsequestration mechanisms are the storage in the fracture-stimulation damaged zone followed by diffusion into the pores within the rock matrix. The assessment indicates that 5% of working fluid loss commonly suggested as the storage capacity might be an over-estimate of the long-term COsequestration capacity of EGS in which supercritical COis used as the circulation fluid.
基金Australian Research Council Integrated Operations for Complex Resources Industrial Transformation Training Centre(No.IC190100017)funded by universities,industry,and the Australian Government.
文摘Constant attempts have been made throughout human history to find solutions to complex issues.These attempts resulted in industrial revolutions and the transition from manual labor to machines and new technologies.The latest advancements in artificial intelligence(AI)are revolutionary.The use of these smart technologies in mining can lead to increased profitability,enhanced performance,improved safety,and better adherence to environmental regulations.In this paper,the applications of AI and digital twin systems in mining operations are reviewed,covering various components,including mineral exploration,drilling,blasting,loading,hauling,mineral processing,and environmental issues.Critical data inputs for each component are identified,and relevant tools and methods are discussed.These will facilitate the development of digital twin models with learning,simulation,prediction,and optimization capabilities.This study provides valuable insights into fully integrated digital twin mining systems,which will significantly improve mining efficiency and sustainability.Although innovative technologies,such as the Internet of Things(IoT)and other intelligent tools,are increasingly being used in the mining sector,many mining processes still depend on human oversight to deal with challenges,such as remote operations,geological variability,high investment costs,and a skills gap.There is,therefore,significant potential to enhance the use of sensors and IoT devices to support data collection for more integrated and powerful digital twin systems to drive further innovation and operational improvements across the mining value chain.
