LFC Investigation with SHO tuned 1 Plus Fraction ID Controller

2021 ◽  
Author(s):  
Jyoti Ranjan Padhi ◽  
Manoj Kumar Debnath ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Plus Fraction

Chromogenic Peptide Substrate Assays for Plasma Inhibitors of Plasma Kallikrein: Identification of the Major Inhibitors

1979 ◽  
Author(s):  
M.J. Gallimore ◽  
E. Amundsen ◽  
M. Larsbraaten ◽  
K. Lyngaas ◽  
E. Fareid
Keyword(s):  
Plasma Concentrations ◽  
Gel Filtration ◽  
Plasma Kallikrein ◽  
Peptide Substrate ◽  
Total Inhibition ◽  
Α2 Macroglobulin ◽  
Dependent Inhibition ◽  
Plus Fraction ◽  
Time Dependent Inhibition ◽  
Esterase Inhibitor

Plasma inhibitors of plasma kallikrein(KK) were studied using chromogenic peptide substrate assays. Both “immediate” and “time-dependent” inhibition was detected. Sephadex G-150 gel filtration revealed that fractions containing α2-macroglobulin (α2 M), C1 - esterase inhibitor (CIINH) and a low molecular weight component(KKI3) gave “immediate” inhibition. When fractions were tested for “total” inhibition (incubation of enzyme plus fraction for 300 seconds at 37°C) CIINH was found to be the major inhibitor. Both the α2M and KKI3-containing fractions exhibited more inhibition than in the “immediate” inhibition assay. Studies with purified preparations of CIINH and α2 M indicated that these are the two most important plasma inhibitors of KK. Preparations of α1-antitrypsin (α1AT), antithrombin III (ATIII) and α2-antiplasmin (α2AP) produced insignificant inhibition. When “total” KK inhibition in plasma samples from 20 healthy subjects was compared with plasma concentrations of CIINH, α2M and α1AT (immunochemical assays) a very good correlation (r=0.81) was found between percentage inhibition and CIINH concentration. Correlation values for the other antiproteases were α2M r=0.36 and α1AT r=0.19.

Improvement of the Expanded Fluid Viscosity Model for Crude Oils: Effects of the Plus-Fraction Characterization Method and Density

2018 ◽  
Vol 32 (2) ◽  
pp. 1624-1633 ◽  
Author(s):  
Victor B. Regueira ◽  
Verônica J. Pereira ◽  
Gloria M. N. Costa ◽  
Silvio A. B. Vieira de Melo
Keyword(s):  
Viscosity Model ◽  
Crude Oils ◽  
Fluid Viscosity ◽  
Plus Fraction

Optimal distribution function determination for plus fraction splitting

2019 ◽  
Vol 97 (10) ◽  
pp. 2752-2764
Author(s):  
Sajjad Foroughi ◽  
Davood Khoozan ◽  
Saeid Jamshidi
Keyword(s):  
Distribution Function ◽  
Optimal Distribution ◽  
Plus Fraction

Accuracy and Precision of Reservoir Fluid Characterization Tests Through Blind Round-Robin Testing

2021 ◽  
Author(s):  
Arwa Mawlod ◽  
Afzal Memon ◽  
John Nighswander
Keyword(s):  
Molar Mass ◽  
Sensitivity Study ◽  
Round Robin ◽  
Fluid Composition ◽  
Mass Measurements ◽  
Reservoir Fluid ◽  
Stock Tank ◽  
Fluid Characterization ◽  
Plus Fraction ◽  
The Impact

Abstract Objectives/Scope: Oil and gas operators use a variety of reservoir engineering workflows in addition to the reservoir, production, and surface facility simulation tools to quantify reserves and complete field development planning activities. Reservoir fluid property data and models are fundamental input to all these workflows. Thus, it is important to understand the propagation of uncertainty in these various workflows arising from laboratory fluid property measured data and corresponding model uncertainty. The first step in understanding the impact of laboratory data uncertainty was to measure it, and as result, ADNOC Onshore undertook a detailed study to assess the performance of four selected reservoir fluid laboratories. The selected laboratories were evaluated using a blind round-robin study on stock tank liquid density and molar mass measurements, reservoir fluid flashed gas and flashed liquid C30+ reservoir composition gas chromatography measurements, and Constant Mass Expansion (CME) Pressure-Volume-Temperature (PVT) measurements using a variety of selected reservoir and pure components test fluids. Upon completion of the analytical study and establishing a range of measurement uncertainty, a sensitivity analysis study was completed using an equation of state (EoS) model to study the impact of reservoir fluid composition and molecular weight measurement uncertainty on EoS model predictions. Methods, Procedures, Process: A blind round test was designed and administered to assess the performance of the four laboratories. Strict confidentiality was maintained to conceal the identity of samples through blind test protocols. The round-robin tests were also witnessed by the researchers. The EoS sensitivity study was completed using the Peng Robinson EoS and a commercially available software package. Results, Observations, Conclusions: The results of the fully blind reservoir fluid laboratory tests along with the statistical analysis of uncertainties will be presented in this paper. One of the laboratories had a systemic deviation in the measured plus fraction composition on black oil reference standard samples. The plus fraction concentration is typically the largest weight percent component in black oil systems and, along with the plus fraction molar mass, plays a crucial role in establishing the mole percent overall reservoir fluid compositions. Another laboratory had systemic issues related to chromatogram component integration errors that resulted in inconsistent carbon number concentration trends for various components. All laboratories failed to produce consistent molecular weight measurements for the reference samples. Finally, one laboratory had a relative deviation for P-V measurements that were significantly outside the acceptable range. The EoS sensitivity study demonstrates that the fluid composition and stock tank oil molar mass measurements have a significant impact on EoS model predictions and hence the reservoir/production models input when all other parameters are fixed. Novel/Additive Information: To the best of our knowledge, this is the first time such an extensive and fully blind round-robin test of commercial reservoir fluid characterization laboratories has been completed and published in the open literature. The industry should greatly benefit from this first-of-its-kind blind round-robin dataset being made available to all. The study provides the basis, protocols, expectations, and recommendations for such independent round-robin testing for fluid characterization laboratories on a broader scale.

scholarly journals A generalized set of correlations for plus fraction characterization

2012 ◽  
Vol 9 (3) ◽  
pp. 370-378 ◽  
Author(s):  
Mohamad Jamialahmadi ◽  
Hossein Zangeneh ◽  
Seyed Sajad Hosseini
Keyword(s):  
Plus Fraction
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