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A model for predicting the fracture complexity indicator is established based on the principle of energy balance and minimum energy.
Moreover, the impact of demand fluctuation to the operational performance of the alternative networks, expressed thorough a dynamic complexity indicator, is investigated through simulation.
Sensitivity analysis of this analytical model demonstrate that the fracture complexity indicator increases with injection time, injection rate and elastic modulus, while decreases with the height of fractures.
In this paper, the pseudo number of fractures is defined as the fracture complexity indicator to describe the complexity of fracture network during multistage hydraulic fracturing.
However, fracture complexity indicator described in this paper can illustrate the fracture complexity, which is a parameter to evaluate the effectiveness of multistage hydraulic fracturing.
The complexity indicator (RI) and the episodes EI were also adequately correlated.
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Furthermore, the impact weight associated with each of the complexity indicators were calculated.
Through two rounds of the Delphi study, the top 30 complexity indicators were identified and ranked.
In this paper, a qualitative Delphi method was applied to identify and validate significant complexity indicators.
We finally propose complexity indicators which could be considered for developing effective incremental samplings.
At this time, there are known several structural complexity indicators that have been validated for specific or/and generic supply chain models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com