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Open image in new window Fig. 26 Comparison between field data and model results of hydraulic fracturing.
The final agreement between field data and expected performance of the component makes the model converge onto a heuristic monitoring system.
Mean absolute percentage error (MAPE) value obtained between field data and VISSIM simulation data for entry flow is used to check whether the model is close enough to real world scenario.
The standard deviation m of the predictions can be calculated by: m = pm sqrt {frac{[VV]}{n - 1}},where m is the standard deviation of prediction, mm; V is the difference between field data and the predicted value, mm; and n is the number of prediction points.
We propose a new metric, the Mean Modified Response or MMR, to quantify intermediate stages of seasonal water repellent breakdown in terms of the discrepancy between field data and a calibrated one-dimensional model representing the same soil in a hydrophilic state.
Discrepancies between field data and model predictions mainly concern the position and length of the first break.
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It is based on an empirical statistical relationship between field data on transmissivity and the inverse slope values of a topography-reduced water-table map.
Comparison between the field data and the simulation results is in good agreement.
The result is achieved when a good fit between the field data and the theoretically computed curve is obtained.
Moreover, for Case 1 (Fig. 3), there are no changes between the field data and calculated volume of fracturing fluid.
We verified the model by examining the fit of magnetic-transient responses between the field data and 3D forward-model computed data.
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between sensor data and
between field measurements and
between plant data and
between field commanders and
between field reversals and
between field types and
between field edges and
between field notes and
between field plots and
between field variables and
between field dipoles and
between health data and
between field devices and
between volume data and
between field workers and
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com