The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Nitu Sood - One of the best experts on this subject based on the ideXlab platform.
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isolation and characterization of a potential paraffin wax degrading thermophilic bacterial strain geobacillus kaustophilus teri nsm for application in Oil Wells with paraffin deposition problems
Chemosphere, 2008Co-Authors: Nitu SoodAbstract:Abstract Paraffin deposition problems, that have plagued the Oil industry, are currently remediated by mechanical and chemical means. However, since these methods are problematic, a microbiological approach has been considered. The bacteria, required for the mitigation of paraffin deposition problems, should be able to survive the high temperatures of Oil Wells and degrade the paraffins under low oxygen and nutrient conditions while sparing the low carbon chain paraffins. In this study, a thermophilic paraffinic wax degrading bacterial strain was isolated from a sOil sample contaminated with paraffinic crude Oil. The selected strain, Geobacillus TERI NSM , could degrade 600 mg of paraffinic wax as the sole carbon source in 1000 ml minimal salts medium in 7 d at 55 °C. This strain was identified as Geobacillus kaustophilus by fatty acid methyl esters analysis and 16S rRNA full gene sequencing. G. kaustophilus TERI NSM showed 97% degradation of eicosane, 85% degradation of pentacosane and 77% degradation of triacontane in 10 d when used as the carbon source. The strain TERI NSM could also degrade the paraffins of crude Oil collected from Oil Wells that had a history of paraffin deposition problems.
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isolation and characterization of a potential paraffin wax degrading thermophilic bacterial strain geobacillus kaustophilus teri nsm for application in Oil Wells with paraffin deposition problems
Chemosphere, 2008Co-Authors: Nitu Sood, Banwari LalAbstract:Paraffin deposition problems, that have plagued the Oil industry, are currently remediated by mechanical and chemical means. However, since these methods are problematic, a microbiological approach has been considered. The bacteria, required for the mitigation of paraffin deposition problems, should be able to survive the high temperatures of Oil Wells and degrade the paraffins under low oxygen and nutrient conditions while sparing the low carbon chain paraffins. In this study, a thermophilic paraffinic wax degrading bacterial strain was isolated from a sOil sample contaminated with paraffinic crude Oil. The selected strain, Geobacillus TERI NSM, could degrade 600mg of paraffinic wax as the sole carbon source in 1000ml minimal salts medium in 7d at 55 degrees C. This strain was identified as Geobacillus kaustophilus by fatty acid methyl esters analysis and 16S rRNA full gene sequencing. G. kaustophilus TERI NSM showed 97% degradation of eicosane, 85% degradation of pentacosane and 77% degradation of triacontane in 10d when used as the carbon source. The strain TERI NSM could also degrade the paraffins of crude Oil collected from Oil Wells that had a history of paraffin deposition problems.
Banwari Lal - One of the best experts on this subject based on the ideXlab platform.
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isolation and characterization of a potential paraffin wax degrading thermophilic bacterial strain geobacillus kaustophilus teri nsm for application in Oil Wells with paraffin deposition problems
Chemosphere, 2008Co-Authors: Nitu Sood, Banwari LalAbstract:Paraffin deposition problems, that have plagued the Oil industry, are currently remediated by mechanical and chemical means. However, since these methods are problematic, a microbiological approach has been considered. The bacteria, required for the mitigation of paraffin deposition problems, should be able to survive the high temperatures of Oil Wells and degrade the paraffins under low oxygen and nutrient conditions while sparing the low carbon chain paraffins. In this study, a thermophilic paraffinic wax degrading bacterial strain was isolated from a sOil sample contaminated with paraffinic crude Oil. The selected strain, Geobacillus TERI NSM, could degrade 600mg of paraffinic wax as the sole carbon source in 1000ml minimal salts medium in 7d at 55 degrees C. This strain was identified as Geobacillus kaustophilus by fatty acid methyl esters analysis and 16S rRNA full gene sequencing. G. kaustophilus TERI NSM showed 97% degradation of eicosane, 85% degradation of pentacosane and 77% degradation of triacontane in 10d when used as the carbon source. The strain TERI NSM could also degrade the paraffins of crude Oil collected from Oil Wells that had a history of paraffin deposition problems.
Mikael Höök - One of the best experts on this subject based on the ideXlab platform.
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Production Decline Curves of Tight Oil Wells in Eagle Ford Shale
Natural Resources Research, 2017Co-Authors: Henrik Wachtmeister, Kjell Aleklett, Linnea Lund, Mikael HöökAbstract:This study derives typical production curves of tight Oil Wells based on monthly production data from multiple horizontal Eagle Ford shale Oil Wells. Well properties initial production (IP) rate and production decline rate were documented, and estimated ultimate recovery (EUR) was calculated using two empirical production decline curve models, the hyperbolic and the stretched exponential function. Individual well productivity, which can be described by IP level, production decline curvature and well lifetime, varies significantly. The average monthly IP was found to be around 500 bbl/day, which yields an EUR in the range of 150–290 kbbl depending on used curve, assumed well lifetime or production cutoff level. More detailed analyses on EUR can be made once longer time series are available. For more realistic modeling of multiple Wells a probabilistic approach might be favorable to account for variety in well productivity. For less detailed modeling, for example conceptual regional bottom-up production modeling, the hyperbolic function with deterministic parameters might be preferred because of ease of use, for example with the average parameter values IP = 500 bbl/day, D = 0.3 and b = 1 resulting in an EUR of 250 kbbl with a 30-year well lifetime, however, with the recognition that this extrapolation is uncertain.
Henrik Wachtmeister - One of the best experts on this subject based on the ideXlab platform.
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Production Decline Curves of Tight Oil Wells in Eagle Ford Shale
Natural Resources Research, 2017Co-Authors: Henrik Wachtmeister, Kjell Aleklett, Linnea Lund, Mikael HöökAbstract:This study derives typical production curves of tight Oil Wells based on monthly production data from multiple horizontal Eagle Ford shale Oil Wells. Well properties initial production (IP) rate and production decline rate were documented, and estimated ultimate recovery (EUR) was calculated using two empirical production decline curve models, the hyperbolic and the stretched exponential function. Individual well productivity, which can be described by IP level, production decline curvature and well lifetime, varies significantly. The average monthly IP was found to be around 500 bbl/day, which yields an EUR in the range of 150–290 kbbl depending on used curve, assumed well lifetime or production cutoff level. More detailed analyses on EUR can be made once longer time series are available. For more realistic modeling of multiple Wells a probabilistic approach might be favorable to account for variety in well productivity. For less detailed modeling, for example conceptual regional bottom-up production modeling, the hyperbolic function with deterministic parameters might be preferred because of ease of use, for example with the average parameter values IP = 500 bbl/day, D = 0.3 and b = 1 resulting in an EUR of 250 kbbl with a 30-year well lifetime, however, with the recognition that this extrapolation is uncertain.
Bahram Mokhtari - One of the best experts on this subject based on the ideXlab platform.
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Application of 1H NMR in the flow surveillance of Oil Wells
Magnetic resonance in chemistry : MRC, 2012Co-Authors: Kobra Pourabdollah, Bahram MokhtariAbstract:Test-separator units, as traditional methods of well surveillance, mainly suffer from their inherent constraints including the expensive instrumental, mechanical, electrical, piping and safety devices along with technical and protective inspections, repair and operation services, facilities and infrastructures. Other problems are time and cost consuming, uncertainty of well isolation in test separator and need to close the co-line Wells, which are diminished using multivariate thermal well testing. A novel approach was proposed and tested to classify the Oil samples taken from individual Wells by source and type. The novelties of this work were the use of the applied aspects of 1H NMR spectroscopy in petroleum upstream engineering, the replacement of traditional test methods, the improvement of the confidence of tests and the recognition of multisource streams. The weighed sum method was used to correlate the spectra information, taken from the samples of Iranian offshore Oil Wells. The experimental results and the field data revealed that the present approach was appropriate for precocious, quick and reliable surveillance of individual Oil Wells located in an Oil field. The model was supported by field experiments and has predicted the accurate productivity of Oil Wells with respect to the current expensive techniques since 2010. Copyright © 2012 John Wiley & Sons, Ltd.
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Determination of Oil Wells productivity using multivariate FTIR data.
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2011Co-Authors: Kobra Pourabdollah, Bahram MokhtariAbstract:Abstract Traditional methods for productivity surveillance of Oil Wells mainly are consisted of using test-separator units with expensive devices, protections, inspections, operations, facilities, infrastructures and repairing services. The objective of this work is to utilize a novel approach to predict the accurate productivity of Oil Wells using a single sample point at the line of blend Oil. The present method is based upon performing multivariate regression of infrared spectra, which taken from the real samples of Iranian offshore Oil Wells. The experimental results revealed that the present approach is appropriate for precocious, quick and reliable surveillance of individual Oil Wells located in an Oil field. The model has predicted the accurate productivity of real Oil Wells with respect to the current expensive techniques since 2010.
