Perturbation theory for anisotropic fluid transport coefficients

1976 ◽  
Vol 65 (9) ◽  
pp. 3715-3719 ◽  
Author(s):  
Kingtse C. Mo ◽  
Kenneth E. Starling
Keyword(s):  
Perturbation Theory ◽  
Fluid Transport ◽  
Transport Coefficients ◽  
Anisotropic Fluid

Correlation and prediction of dense fluid transport coefficients. IV. A note on diffusion

1992 ◽  
Vol 13 (4) ◽  
pp. 729-733 ◽  
Author(s):  
M. J. Assael ◽  
J. H. Dymond ◽  
P. M. Patterson
Keyword(s):  
Fluid Transport ◽  
Transport Coefficients ◽  
Dense Fluid

Correlation and prediction of dense fluid transport coefficients. VII. Refrigerants

1995 ◽  
Vol 16 (3) ◽  
pp. 761-772 ◽  
Author(s):  
M. J. Assael ◽  
J. H. Dymond ◽  
S. K. Polimatidou
Keyword(s):  
Fluid Transport ◽  
Transport Coefficients ◽  
Dense Fluid

The Effects of Anisotropic Transport Coefficients on Pore Pressure in Shale Formations

2015 ◽  
Vol 137 (3) ◽  
Author(s):  
Vahid Dokhani ◽  
Mengjiao Yu ◽  
Stefan Z. Miska ◽  
James Bloys
Keyword(s):  
Pore Pressure ◽  
Fluid Transport ◽  
Drilling Fluid ◽  
Transport Coefficients ◽  
Electrical Potential ◽  
Three Dimensional ◽  
Bedding Plane ◽  
Wellbore Stability ◽  
Coupled Flow ◽  
In Situ Conditions

This study investigates shale–fluid interactions through experimental approaches under simulated in situ conditions to determine the effects of bedding plane orientation on fluid flow through shale. Current wellbore stability models are developed based on isotropic conditions, where fluid transport coefficients are only considered in the radial direction. This paper also presents a novel mathematical method, which takes into account the three-dimensional coupled flow of water and solutes due to hydraulic, chemical, and electrical potential imposed by the drilling fluid and/or the shale formation. Numerical results indicate that the presence of microfissures can change the pore pressure distribution significantly around the wellbore and thus directly affect the mechanical strength of the shale.

Peritoneal Fluid Transport in CAPD Patients with Different Transport Rates of Small Solutes

2004 ◽  
Vol 24 (3) ◽  
pp. 240-251 ◽  
Author(s):  
Danuta Sobiecka ◽  
Jacek Waniewski ◽  
Andrzej Weryński ◽  
Bengt Lindholm
Keyword(s):  
Peritoneal Dialysis ◽  
Solute Transport ◽  
Osmotic Pressure ◽  
Absorption Rate ◽  
Fluid Transport ◽  
Transport Coefficients ◽  
Dialysis Fluid ◽  
Transport Parameters ◽  
Ultrafiltration Rate ◽  
Small Solute

Background Continuous ambulatory peritoneal dialysis (CAPD) patients with high peritoneal solute transport rate often have inadequate peritoneal fluid transport. It is not known whether this inadequate fluid transport is due solely to a too rapid fall of osmotic pressure, or if the decreased effectiveness of fluid transport is also a contributing factor. Objective To analyze fluid transport parameters and the effectiveness of dialysis fluid osmotic pressure in the induction of fluid flow in CAPD patients with different small solute transport rates. Patients 44 CAPD patients were placed in low ( n = 6), low-average ( n = 13), high-average ( n = 19), and high ( n = 6) transport groups according to a modified peritoneal equilibration test (PET). Methods The study involved a 6-hour peritoneal dialysis dwell with 2 L 3.86% glucose dialysis fluid for each patient. Radioisotopically labeled serum albumin was added as a volume marker. The fluid transport parameters (osmotic conductance and fluid absorption rate) were estimated using three mathematical models of fluid transport: ( 1 ) Pyle model (model P), which describes ultrafiltration rate as an exponential function of time; ( 2 ) model OS, which is based on the linear relationship of ultrafiltration rate and overall osmolality gradient between dialysis fluid and blood; and ( 3 ) model G, which is based on the linear relationship between ultrafiltration rate and glucose concentration gradient between dialysis fluid and blood. Diffusive mass transport coefficients (KBD) for glucose, urea, creatinine, potassium, and sodium were estimated using the modified Babb–Randerson–Farrell model. Results The high transport group had significantly lower dialysate volume and glucose and osmolality gradients between dialysate and blood, but significantly higher KBD for small solutes compared with the other transport groups. Osmotic conductance, fluid absorption rate, and initial ultrafiltration rate did not differ among the transport groups for model OS and model P. Model G yielded unrealistic values of fluid transport parameters that differed from those estimated by models OS and P. The KBD values for small solutes were significantly different among the groups, and did not correlate with fluid transport parameters for model OS. Conclusion The difference in fluid transport between the different transport groups was due only to the differences in the rate of disappearance of the overall osmotic pressure of the dialysate, which was a combined result of the transport rate of glucose and other small solutes. Although the glucose gradient is the major factor influencing ultrafiltration rate, other solutes, such as urea, are also of importance. The counteractive effect of plasma small solutes on transcapillary ultrafiltration was found to be especially notable in low transport patients. Thus, glucose gradient alone should not be considered the only force that shapes the ultrafiltration profile during peritoneal dialysis. We did not find any correlations between diffusive mass transport coefficients for small solutes and fluid transport parameters such as osmotic conductance or fluid and volume marker absorption. We may thus conclude that the pathway(s) for fluid transport appears to be partly independent from the pathway(s) for small solute transport, which supports the hypothesis of different pore types for fluid and solute transport.

Dense-fluid transport coefficients via the constrained-subtraction technique

1987 ◽  
Vol 36 (7) ◽  
pp. 3471-3473 ◽  
Author(s):  
G. Ciccotti ◽  
W. G. Hoover ◽  
C. Massobrio ◽  
G. V. Paolini
Keyword(s):  
Fluid Transport ◽  
Transport Coefficients ◽  
Subtraction Technique ◽  
Dense Fluid

Correlation and prediction of dense fluid transport coefficients

1992 ◽  
Vol 75 ◽  
pp. 245-255 ◽  
Author(s):  
M.J. Assael ◽  
J.H. Dymond ◽  
M. Papadaki ◽  
P.M. Patterson
Keyword(s):  
Fluid Transport ◽  
Transport Coefficients ◽  
Dense Fluid

Correlation and prediction of dense fluid transport coefficients. VI.n-alcohols

1994 ◽  
Vol 15 (2) ◽  
pp. 189-201 ◽  
Author(s):  
M. J. Assael ◽  
J. H. Dymond ◽  
S. K. Polimatidou
Keyword(s):  
Fluid Transport ◽  
Transport Coefficients ◽  
Dense Fluid
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