Model Development for MEOR Process in Conventional Non‐Fractured Reservoirs and Investigation of Physico‐Chemical Parameter Effects

2008 ◽  
Vol 31 (7) ◽  
pp. 953-963 ◽  
Author(s):  
M. Behesht ◽  
R. Roostaazad ◽  
F. Farhadpour ◽  
M. R. Pishvaei
Keyword(s):  
Fractured Reservoirs ◽  
Model Development ◽  
Chemical Parameter ◽  
Physico Chemical

PHYSICO-CHEMICAL PARAMETER OF GROUND WATER IN SONAI IN AHMEDNAGAR DIST, MAHARASTRA

2016 ◽  
Author(s):  
M. S. Jangale M. B. Lande and V. R. Phatake M. S. Jangale M. B. Lande and V. R. Phatake ◽  
Keyword(s):  
Ground Water ◽  
Chemical Parameter ◽  
Physico Chemical

scholarly journals Relaxometry Models Compared with Bayesian Technique: Ganglioside Micelle Example

2020 ◽  
Author(s):  
Pär Håkansson
Keyword(s):  
Model Comparison ◽  
Spin Dynamics ◽  
Model Development ◽  
Relaxation Dispersion ◽  
Site Model ◽  
Research Areas ◽  
Bayesian Model Comparison ◽  
Physico Chemical ◽  
Complex Liquids ◽  
Bayesian Evidence

<div> <div> <div> <p>In this work a methodology to perform Bayesian model-comparison is developed and exemplified in the analysis of magnetic relaxation dispersion (NMRD) experiments of water in Ganglioside micelle system. The NMRD powerful probe of slow dynamics in complex liquids is obtained. There are many interesting systems to study with NMRD, such as ionic and Lyotropic liquids or electrolytes. However, to progress in the understanding of the physical chemistry of studied systems relatively detailed theoretical NMRD-models are required. To improve the models they need to be carefully compared, in addition to physico-chemical considerations of molecular and spin dynamics. The comparison is performed by computing the Bayesian evidence in terms of a thermodynamic integral solved with Markov chain Monte Carlo. The result leads to a conclusion of two micelle water sites, and rules out lower and higher complexity level, i.e., one and three sites. In contrast, and provided only with the quality of best fit, suggest a three site model. The two approximate selection tools, Akaike and Baysian information criterions, may lead to wrong conclusions compared to the the full integration. The methodology is expected to be one of several important tools in NMRD model development, however, is completely general and should find awakened use in many research areas. </p> </div> </div> </div>

scholarly journals Distribusi dan Kemelimpahan Meiofauna di Hulu Sungai Code Yogyakarta

2012 ◽  
Vol 9 (2) ◽  
pp. 34 ◽  
Author(s):  
Riche - Hariyati
Keyword(s):  
Dissolved Oxygen ◽  
Water Column ◽  
River Water ◽  
Relative Abundance ◽  
Horizontal Distribution ◽  
Water Current ◽  
Habitat Types ◽  
Chemical Parameter ◽  
Physico Chemical

This research is aimed to study distribution and abundance of meiofauna and the quality of physicochemicalcharacteristics of uppersite of code river and up stream river code Yogyakarta province. Samples weretaken using modified Pysto style corer and were located based on habitat types specific river, which are pool, riffle,rapid, left side and right side of water column. Sample taken four times for each zone. The parameter of for waterquality measured were dissolved oxygen. Water current, alkalinity and pHResult from the analysis showed that the abundance of meiofauna at code river the highest at left side zone.Which was 537.806 individu/m3 with relative abundance was 28,09% result from physico chemical parameter ofdissolved oxygenbetween 5,44 ppm – 6,0 ppm, alkalinity 20 ppm – 25 ppm , pH 7,10 – 7,18.and watercurrenntmeasured between 0,03 m/sec – 0,49 m/sec. The abundance of meiofauna at code river was dominated bygroup of Nematodes horizontal distribution of the fauna was the widest for Nematodes ostracoda, Rhizopoda andinsecta. Physico chemicalquality of code river water was relative good for meiofauna habitat and other waterorganisms

scholarly journals Distinct and Quantitative Validation for Predictive Process Modelling in Steam Distillation of Caraway Fruits and Lavender Flower Following a Quality-By-Design (QbD) Approach

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 594 ◽  
Author(s):  
Thorsten Roth ◽  
Lukas Uhlenbrock ◽  
Jochen Strube
Keyword(s):  
Quality By Design ◽  
Steam Distillation ◽  
Process Development ◽  
Model Development ◽  
Chemical Model ◽  
Maximum Information ◽  
Physico Chemical ◽  
Target Values ◽  
Different Types ◽  
Quantitative Validation

A quality by design (QbD) approach as part of process development in the regulated, pharmaceutical industry requires many experiments. Due to the large number, process development is time consuming and cost intensive. A key to modern process development to reduce the number of required experiments is a predictive simulation with a validated physico-chemical model. In order to expand the process expertise of steam distillation through maximum information, a model development workflow is used in this paper, which focuses on implementation, verification, parametrization and validation of a physico-chemical model. Process robustness and sensitivity of target values can be determined from the developed general model and design of experiments with statistical evaluations. The model validation is exemplified by two different types of plant systems, caraway fruits (Carum Carvi) and lavender flowers (Lavandula).

Physico-chemical parameter correlations in the [RuCl2(CO)(L) (PPh3)2] complexes (L = N-heterocycles)

Polyhedron ◽  
1998 ◽  
Vol 17 (11-12) ◽  
pp. 2013-2020 ◽  
Author(s):  
Karen Wohnrath ◽  
Alzir A. Batista ◽  
Antonio Gilberto Ferreira ◽  
Julio Zukerman-Schpector ◽  
Luiz Antonio A. de Oliveira ◽  
...  
Keyword(s):  
Chemical Parameter ◽  
Physico Chemical

scholarly journals Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations

2014 ◽  
Vol 372 (2022) ◽  
pp. 20130324 ◽  
Author(s):  
Fabrizio Bisetti ◽  
Antonio Attili ◽  
Heinz Pitsch
Keyword(s):  
Internal Combustion Engines ◽  
Fossil Fuels ◽  
Soot Formation ◽  
Model Development ◽  
Turbulent Flames ◽  
Pollutant Emissions ◽  
Combustion Model ◽  
Carbon Abatement ◽  
Physico Chemical ◽  
Combustion Modelling

Combustion of fossil fuels is likely to continue for the near future due to the growing trends in energy consumption worldwide. The increase in efficiency and the reduction of pollutant emissions from combustion devices are pivotal to achieving meaningful levels of carbon abatement as part of the ongoing climate change efforts. Computational fluid dynamics featuring adequate combustion models will play an increasingly important role in the design of more efficient and cleaner industrial burners, internal combustion engines, and combustors for stationary power generation and aircraft propulsion. Today, turbulent combustion modelling is hindered severely by the lack of data that are accurate and sufficiently complete to assess and remedy model deficiencies effectively. In particular, the formation of pollutants is a complex, nonlinear and multi-scale process characterized by the interaction of molecular and turbulent mixing with a multitude of chemical reactions with disparate time scales. The use of direct numerical simulation (DNS) featuring a state of the art description of the underlying chemistry and physical processes has contributed greatly to combustion model development in recent years. In this paper, the analysis of the intricate evolution of soot formation in turbulent flames demonstrates how DNS databases are used to illuminate relevant physico-chemical mechanisms and to identify modelling needs.

scholarly journals Preformulation Studies of Pralidoxime Chloride for Formulation Development of Microspheres

2019 ◽  
Vol 9 (4-s) ◽  
pp. 338-342
Author(s):  
Shyam Bihari Sharma ◽  
Suman Jain ◽  
K. Ganesan
Keyword(s):  
Melting Point ◽  
Physicochemical Properties ◽  
Dosage Form ◽  
Chemical Parameter ◽  
New Drug ◽  
Physico Chemical ◽  
Pralidoxime Chloride ◽  
Preformulation Studies ◽  
Preformulation Study ◽  
Excipient Compatibility

Microspheres are one of the novel drug delivery system which possess several applications and are made up of assorted polymers. Microspheres can be defined as solid, approximately spherical particles ranging in size from 1 to 1000 μm range in diameter having a core of drug and entirely outer layers of polymers as coating material. They are made up of polymeric, waxy or other protective materials i.e. biodegradable synthetic polymer and modified natural products such as starches, gums, proteins, fats and waxes. Preformulation is a group of studies that focus on the physicochemical properties of a new drug candidate that could affect the drug performance and the development of a dosage form. This couldprovide important information for formulation design or support the need for molecular modification. Every drug has intrinsic chemical and physical properties which has been consider before development of pharmaceutical formulation. This property provides the framework for drugs combination with pharmaceutical ingredients in the fabrication of dosage form. Objective of preformulation study is to develop the elegant, stable, effective and safe dosage form by establishing kinetic rate profile, compatibility with the other ingredients and establish Physico-chemical parameter of new drug substances. The purpose of the present study was to systematically investigate some of the important physicochemical properties of pralidoxime chloride for preparation of microspheres. The physicochemical properties such as solubility, pKa, dissolution, melting point, assay development, excipient compatibility etc. of pralidoxime chloride was carried out. Before selection of excipients, the Preformulation study of drug pralidoxime is completed for successful formulation of microspheres. The result of Preformulation studies shows good flow properties, excipient compatibility, solubility efficiency and melting point. From this study we concluded that pralidoximewith HPMC and EC can be used to formulate pralidoxime microspheres for modified release. Keywords: Microspheres, Preformulation, Pralidoxime chloride, Physico-chemical parameter.

scholarly journals A Comparative Study of Physico-Chemical Parameter in Glacial Melt Water, Ponkar Glacier, Nepal

OALib ◽  
2021 ◽  
Vol 08 (02) ◽  
pp. 1-10
Author(s):  
Sandeep Shrestha ◽  
Rajendra Bhandari ◽  
Ashish Bashyal ◽  
Nischal Shrestha
Keyword(s):  
Comparative Study ◽  
Chemical Parameter ◽  
Physico Chemical ◽  
Melt Water
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