The Experts below are selected from a list of 2844 Experts worldwide ranked by ideXlab platform
Bahram Mokhtari - One of the best experts on this subject based on the ideXlab platform.
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Well surveillance using multivariate thermal measurements
Journal of Thermal Analysis and Calorimetry, 2012Co-Authors: Kobra Pourabdollah, Bahram MokhtariAbstract:Traditional methods to measure and survey the productivity of Oil Wells mainly consisted of using test-separator units with expensive instrumental, mechanical, electrical, piping, and safety devices along with technical and protective inspections, repair and operation services, facilities, and infrastructures. Their inherent limitations 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. In this study, an alternative method is presented using multivariate regression on thermal analysis data. The objective of this study, which covered three distinctive major fields of statistics, thermal analysis, and well testing, is predicting the accurate productivity of Oil Wells using a single sample point at the blend Oil pipeline. This method is based in performing multivariate regression of thermogravimetric data obtained from the samples of Iranian Offshore Oil Wells. The results revealed that the used model appropriate for crude Oil blends, which thermal traces significantly differ from each other. The calculated error function corrected the blend equation by considering the eutectic points and catalytic pyrolysis in lower and higher temperatures, respectively. The model predicted the accurate productivity of Oil Wells in real samples of blend Oil pipeline.
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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.
Marcia Abreu De Oliveira Figueiredo - One of the best experts on this subject based on the ideXlab platform.
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Long‐ and short‐term effects of smothering and burial by drill cuttings on calcareous algae in a static‐renewal test
Environmental toxicology and chemistry, 2015Co-Authors: Márcia V. Reynier, Frederico Tapajós De Souza Tâmega, Sarah Dario Alves Daflon, Maurício A. B. Santos, Ricardo Coutinho, Marcia Abreu De Oliveira FigueiredoAbstract:Discharge of drill cuttings into the ocean during drilling of Offshore Oil Wells can impact benthic communities through an increase in the concentrations of suspended particles in the water column and sedimentation of particles on the seafloor around the drilling installation. The present study assessed effects of water-based drill cuttings, barite, bentonite, and natural sediments on shallow- and deep-water calcareous algae in short-term (30 d) and long-term (90 d) experiments, using 2 species from Peregrino's Oil field at Campos Basin, Brazil: Mesophyllum engelhartii and Lithothamnion sp. The results were compared with the shallow-water species Lithothamnion crispatum. Smothering and burial exposures were simulated. Oxygen production and fluorescence readings were recorded. Although less productive, M. engelhartii was as sensitive to stress as Lithothamnion sp. Mesophyllum engelhartii was sensitive to smothering by drill cuttings, barite, and bentonite after 60 d of exposure and was similarly affected by natural sediments after 90 d. These results indicate that smothering by sediments caused physical effects that might be attributable to partial light attenuation and partial restriction on gas exchange but did not kill the calcareous algae in the long term. However, 1-mo burial by either natural sediments or drill cuttings was sufficient after 60 d for both species to reduce oxygen production, and the algae were completely dead under both sources of sediments.
Mohammad Raie - One of the best experts on this subject based on the ideXlab platform.
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Probabilistic risk assessment of Oil spill from Offshore Oil Wells in Persian Gulf.
Marine pollution bulletin, 2018Co-Authors: Payam Amir-heidari, Mohammad RaieAbstract:Oil spills in the marine environment can have serious environmental, social and economic impacts. These impacts may be of transnational nature, and this makes the Oil spill problem an international issue. Therefore, it is necessary to develop a common structured methodology for Oil spill risk assessment. In this research, a general framework is presented for probabilistic risk assessment of Oil spill from Offshore Oil Wells. A case study is also performed in Persian Gulf to quantify the risk posed by 357 Offshore Wells to the near-shore receptors. First, thousands of hypothetical spill scenarios of different volumes are defined and simulated using a Lagrangian particle tracking model. Then, the result of the simulations is statistically processed to generate the risk networks and risk maps. The result of this research shed light on the importance of the pattern of environmental forcing elements and the frequency of spills in Oil spill risk assessment.
Kobra Pourabdollah - One of the best experts on this subject based on the ideXlab platform.
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Well surveillance using multivariate thermal measurements
Journal of Thermal Analysis and Calorimetry, 2012Co-Authors: Kobra Pourabdollah, Bahram MokhtariAbstract:Traditional methods to measure and survey the productivity of Oil Wells mainly consisted of using test-separator units with expensive instrumental, mechanical, electrical, piping, and safety devices along with technical and protective inspections, repair and operation services, facilities, and infrastructures. Their inherent limitations 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. In this study, an alternative method is presented using multivariate regression on thermal analysis data. The objective of this study, which covered three distinctive major fields of statistics, thermal analysis, and well testing, is predicting the accurate productivity of Oil Wells using a single sample point at the blend Oil pipeline. This method is based in performing multivariate regression of thermogravimetric data obtained from the samples of Iranian Offshore Oil Wells. The results revealed that the used model appropriate for crude Oil blends, which thermal traces significantly differ from each other. The calculated error function corrected the blend equation by considering the eutectic points and catalytic pyrolysis in lower and higher temperatures, respectively. The model predicted the accurate productivity of Oil Wells in real samples of blend Oil pipeline.
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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.
Márcia V. Reynier - One of the best experts on this subject based on the ideXlab platform.
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Long‐ and short‐term effects of smothering and burial by drill cuttings on calcareous algae in a static‐renewal test
Environmental toxicology and chemistry, 2015Co-Authors: Márcia V. Reynier, Frederico Tapajós De Souza Tâmega, Sarah Dario Alves Daflon, Maurício A. B. Santos, Ricardo Coutinho, Marcia Abreu De Oliveira FigueiredoAbstract:Discharge of drill cuttings into the ocean during drilling of Offshore Oil Wells can impact benthic communities through an increase in the concentrations of suspended particles in the water column and sedimentation of particles on the seafloor around the drilling installation. The present study assessed effects of water-based drill cuttings, barite, bentonite, and natural sediments on shallow- and deep-water calcareous algae in short-term (30 d) and long-term (90 d) experiments, using 2 species from Peregrino's Oil field at Campos Basin, Brazil: Mesophyllum engelhartii and Lithothamnion sp. The results were compared with the shallow-water species Lithothamnion crispatum. Smothering and burial exposures were simulated. Oxygen production and fluorescence readings were recorded. Although less productive, M. engelhartii was as sensitive to stress as Lithothamnion sp. Mesophyllum engelhartii was sensitive to smothering by drill cuttings, barite, and bentonite after 60 d of exposure and was similarly affected by natural sediments after 90 d. These results indicate that smothering by sediments caused physical effects that might be attributable to partial light attenuation and partial restriction on gas exchange but did not kill the calcareous algae in the long term. However, 1-mo burial by either natural sediments or drill cuttings was sufficient after 60 d for both species to reduce oxygen production, and the algae were completely dead under both sources of sediments.
