2019
DOI: 10.1016/j.jngse.2018.11.003
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Optimal cost and design of an underground gas storage by ANFIS

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Cited by 25 publications
(7 citation statements)
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“…We present a continuation of earlier research in which non-linear programming (NLP) optimization of a single gas cavern was described by Kravanja and Žlender (2010) and later extended to optimization of an entire UGS with any number of caverns by Žlender and Kravanja (2011), and to the optimization in different rock environments by Kravanja and Žlender (2012) and Jelušič et al (2019). The latter reference introduced a prediction of the minimal investment costs for the UGSs, with capacities from 10 to 100 million m 3 of natural gas, with the help of an adaptive network based fuzzy inference system (ANFIS).…”
Section: Discussionmentioning
confidence: 94%
“…We present a continuation of earlier research in which non-linear programming (NLP) optimization of a single gas cavern was described by Kravanja and Žlender (2010) and later extended to optimization of an entire UGS with any number of caverns by Žlender and Kravanja (2011), and to the optimization in different rock environments by Kravanja and Žlender (2012) and Jelušič et al (2019). The latter reference introduced a prediction of the minimal investment costs for the UGSs, with capacities from 10 to 100 million m 3 of natural gas, with the help of an adaptive network based fuzzy inference system (ANFIS).…”
Section: Discussionmentioning
confidence: 94%
“…According to Žlender and Kravanja (2011) and Jelušič et al (2019), four of the most important risks which may occur during the construction/operation of an LRC and UGS can be prevented by four geomechanical constraints: the strength of the rock mass is sufficient, uplift of the rock above the cavern is prevented, collapse of the rock between the caverns is prevented and deformations of the concrete wall and steel lining are limited (large deformations or destruction of the steel lining are prevented); see also Kravanja and Žula (2018). These constraints were derived from a series of the finite element method (FEM) analyses using the Hoek-Brown failure criterion; see Hoek et al (2002).…”
Section: Discussionmentioning
confidence: 99%
“…( 1) -( 4). The safety factor against rock uplift above the cavern SFup must be, according to Žlender and Kravanja (2011) and Jelušič et al (2019), greater than a defined minimal value SFup,min, see Eq.…”
Section: Safety Factorsmentioning
confidence: 99%
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“…In the near past, some investigations have been carried out in the field of optimization of underground gas storages. For example, the optimization of a single gas cavern with non-linear programming (NLP) was introduced by (Kravanja & Žlender, 2010), the optimization of any number of caverns in the UGS was later presented by (Žlender & Kravanja, 2011), while the optimization in different rock environments was reported by (Kravanja & Žlender, 2012) and (Jelušič et al, 2019). The latter reference introduced a prediction of the minimal investment costs using an adaptive network based fuzzy inference system (ANFIS) for the UGSs with capacities from 10 to 100 million m 3 of natural gas.…”
Section: Topology Optimizationmentioning
confidence: 99%