Using Monte Carlo simulation to estimate geothermal resource in Dholera geothermal field, Gujarat, India

M Shah, D Vaidya, A Sircar - Multiscale and Multidisciplinary Modeling …, 2018 - Springer
Multiscale and Multidisciplinary Modeling, Experiments and Design, 2018Springer
After effective investigation on various exploration activities, from a geothermal prospect,
stakeholders are constantly anxious to know of its potential. Geothermal resource
assessment is estimation of the amount of thermal energy that is stored beneath the earth's
surface and can be extracted from a geothermal reservoir and used economically for a time
frame, normally a very long while. A study was undertaken to calculate energy potential of
the Dholera Geothermal Field. Using various parameters from the geoelectrical model, the …
Abstract
After effective investigation on various exploration activities, from a geothermal prospect, stakeholders are constantly anxious to know of its potential. Geothermal resource assessment is estimation of the amount of thermal energy that is stored beneath the earth’s surface and can be extracted from a geothermal reservoir and used economically for a time frame, normally a very long while. A study was undertaken to calculate energy potential of the Dholera Geothermal Field. Using various parameters from the geoelectrical model, the resource potential beneath the subsurface was calculated by applying Monte Carlo simulation. Using various parameters from the geoelectrical model and applying Monte Carlo simulation, the resource potential beneath the subsurface was calculated. It was calculated considering all uncertain parameters (random values) within the span of the minimum, the most likely and the maximum triangular distribution. The result shows the frequency distribution of energy values. Energy estimated at 3 km depth in Dholera is (P50 Case). Energy estimated for P90 case is and for P10 case is .
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