Determination of Petroleum Fluid Composition from Separator Information

2018 ◽  
Author(s):  
Lateef A. Kareem
Keyword(s):  
Fluid Composition ◽  
Petroleum Fluid

Microwave sensors for the non-invasive monitoring of industrial and medical applications

Sensor Review ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 182-191 ◽  
Author(s):  
O. Korostynska ◽  
A. Mason ◽  
A. Al-Shamma'a
Keyword(s):  
Water Content ◽  
Real Time ◽  
Microwave Cavity ◽  
Fluid Composition ◽  
Healthcare Industry ◽  
Real Time Monitoring ◽  
Content Type ◽  
Non Invasive ◽  
Multiphase Fluid

Purpose – This paper aims to discuss the general principles behind the microwave sensing and demonstrates the potential of cavity microwave resonator device in real-time monitoring for: environmental monitoring with the focus on wastewater pollution, a system for oil/gas/water content evaluation in a dynamic pipeline, a system for real-time determination of bacteria concentration and a method for non-invasive glucose determination. Design/methodology/approach – Microwave sensing is a rapidly developing technology which has been successfully used for various industrial applications including water level measurements, material moisture content, in construction industry for non-invasive evaluation of structures and even in the healthcare industry for non-invasive real-time monitoring of glucose in diabetic patients. Novel microwave cavities designed and tested for specific applications are presented. Findings – The paper provides experimental results of testing the novel microwave sensing systems in a range of industrial and healthcare applications and discusses the potential of these systems for real-time monitoring of processes and parameters. Research limitations/implications – The concept of real-time microwave sensing was successfully tested, but further experiments are required to account for possible interference mechanisms before it can be used commercially on a large-scale. Practical implications – It is suggested that a novel approach to wastewater monitoring, namely using specially designed microwave cavity sensors, could lead to a successful development of an advanced platform capable of providing for a real-time detection of water content with superior sensitivity. Also, a system for real-time multiphase fluid composition monitoring is reported, which is essential for sustainable oil industry operation. Originality/value – The paper illustrated the potential of microwave sensing as a real-time monitoring platform for a broad spectrum of commercial applications, with a focus on system developed by the authors, namely, for the monitoring of a multiphase fluid flow in a dynamic oil pipeline, for real-time monitoring of nutrients concentration in wastewater and for healthcare industry, in particular for real-time non-invasive determination of the glucose levels and bacteria concentration.

Estimation of Fluid Composition From Downhole Optical Spectrometry

SPE Journal ◽  
2015 ◽  
Vol 20 (06) ◽  
pp. 1326-1338 ◽  
Author(s):  
Kentaro Indo ◽  
Kai Hsu ◽  
Julian Pop
Keyword(s):  
Confidence Intervals ◽  
Intrinsic Value ◽  
Optical Spectra ◽  
Fluid Composition ◽  
Data Sets ◽  
Optical Spectrometry ◽  
Fluid Properties ◽  
Neural Network Algorithm ◽  
Fluid Characterization ◽  
Petroleum Fluid

Summary During formation-tester operations, the use of downhole optical spectrometry has proved to be essential for reservoir-fluid characterization. Apart from the intrinsic value of fluid profiling, obtaining fluid properties downhole in real time is of particular interest because the results may affect the decision-making process during sampling and ultimately the success of the sampling operation. A new methodology predicts petroleum-fluid composition from optical spectra acquired with wireline or while-drilling formation testers. The method comprises fluid typing, computation of fluid composition, and estimation of data-specific uncertainty. The fluid-typing algorithm is capable of categorizing a sample into three fluid types: gas, gas condensate, and oil. On the basis of the fluid type identified, the appropriate mapping matrix, which transforms optical spectra into compositions, is selected. The mapping matrix is derived from a database consisting of optical spectra, compositions, and pressure/volume/temperature (PVT) properties of a wide variety of petroleum fluids. The outputs of the composition algorithm are the weight fractions of the hydrocarbon pseudocomponents: C1, C2, C3, C4, C5, and C6+, and carbon dioxide. The composition is used to estimate the gas/oil ratio (GOR) by means of an artificial-neural-network algorithm. As a measure of uncertainty, confidence intervals are computed for the predicted components of the composition and GOR. All results are available during acquisition of the data. The accuracy of the algorithm in estimating composition, GOR, and their associated confidence intervals was assessed by comparing the results of the predictions against laboratory-derived results. Several field data sets were analyzed, and the results were compared with the results obtained by PVT laboratories on the same samples. The estimated composition and GOR showed very good agreement with PVT results. Furthermore, the algorithm provides more-accurate estimates of composition and GOR than are available with current downhole optical spectrometers.

scholarly journals Experimental determination of barite dissolution and precipitation rates as a function of temperature and aqueous fluid composition

2016 ◽  
Vol 194 ◽  
pp. 193-210 ◽  
Author(s):  
B.Y. Zhen-Wu ◽  
K. Dideriksen ◽  
J. Olsson ◽  
P.J. Raahauge ◽  
S.L.S. Stipp ◽  
...  
Keyword(s):  
Experimental Determination ◽  
Aqueous Fluid ◽  
Fluid Composition ◽  
Dissolution And Precipitation

Galactic orbits of stars

1966 ◽  
Vol 25 ◽  
pp. 93-97
Author(s):  
Richard Woolley
Keyword(s):  
Globular Cluster ◽  
Potential Field ◽  
High Velocity ◽  
Velocity Vector ◽  
Variable Stars ◽  
The Sun ◽  
Proper Motions ◽  
Rr Lyrae ◽  
The Galaxy

It is now possible to determine proper motions of high-velocity objects in such a way as to obtain with some accuracy the velocity vector relevant to the Sun. If a potential field of the Galaxy is assumed, one can compute an actual orbit. A determination of the velocity of the globular clusterωCentauri has recently been completed at Greenwich, and it is found that the orbit is strongly retrograde in the Galaxy. Similar calculations may be made, though with less certainty, in the case of RR Lyrae variable stars.

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