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This method requires an estimate of fluid and matrix travel times ((Delta t_{text{fluid }}) = 607 μs m−1, (Delta t_{text{matrix}}) = 182 μs m−1) and compares these with travel times measured in the reservoir ((Delta t_{log})): varPhi_{text{m}} = frac{{Delta t_{text{log}} - Delta t_{text{matrix}} }}{{Delta t_{text{fluid }} - Delta t_{text{matrix}} }}quad left[ - right].
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Field development studies require, among many other things, reliable estimates of fluid properties.
An accurate characterization of the reservoir should yield consistent estimates of fluid volumes that are originally in place in the reservoir regardless of the method chosen to determine the fluid volumes.
Fluid balance, diureses and haemodynamic status can give only gross estimates of fluid balance.
Unfortunately, estimates of fluid deficit that are based on traditional physiological parameters, such as heart rate, blood pressure, and cardiac filling pressures, are not sufficient.
Indeed, the micropuncture glass capillary method is known to yield more reliable estimates of fluid pressures than the wick-in-needle because it produces less trauma and requires smaller volumes to record IFP (Heldin et al, 2004).
In addition to providing estimates of fluids in place and forecasts of field-wide production, they also provide an initial concept of the reservoir that can be used to design a model study.
The aim of the study was to compare measurements of cardiac index (CI) obtained with PiCCO (P) and ICG before and after fluid challenge (FC), to evaluate whether the TFC can provide a noninvasive estimate of lung fluid balance, compared with PiCCO EVLW, in 10 critically ill patients.
This gives a rough estimate of the fluid volume fraction.
An order-of-magnitude estimate of the fluid drag force on the planar nanomembrane is calculated from F D = C D V 2 2 ρ A, (1).
Although in our studies we included only healthy pregnancies, we checked that the estimate of amniotic fluid was within the normal range (see Table 2).
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