THE USE OF OIL-CAKE (SUNFLOWER) IN THE DEPOLLUTION OF PETROLEUM INFESTED WATER

2021 ◽  
Author(s):  
Timur Chis ◽  
Stefan Petrache ◽  
Olga Sapunaru
Keyword(s):  
Oil Pollution ◽  
Oil Industry ◽  
Petroleum Products ◽  
Oil Extraction ◽  
Green Energy ◽  
Sunflower Seeds ◽  
Sunflower Meal ◽  
Polymeric Sorbents ◽  
Paraffin Oil ◽  
Adsorption Capacities

"Oil pollution of surface and groundwater is an undesirable phenomenon but it is possible to happen. The pollutant can appear as a result of leaks from the transport pipelines, the damage of the oil extraction and processing installations, and the distribution states of the petroleum products. In the vast majority of interventions to combat pollution, polymeric sorbents are used which are spread over the pollutant and then washed with warm water. This technology does not completely clean the pollutants, and the polymeric sorbents are difficult to remove. Oil-cake (sunflower) is a grated residue after oil extraction and contains the amino acid lysine and high content of fiber and methionine. At a quantity of 100 kg of sunflower seeds, a processor obtains a quantity of 35 kg of residual mass consisting of a sunflower meal. This product can be used as a sorbent for petroleum products, being then used to produce green energy. The physical properties of two sorbent substances (sunflower oil and peat) are presented. Also, their adsorption capacities for four pollutants specific to the oil industry (gasoline, diesel, paraffin oil and sulfur oil) are analyzed, as well as the adsorption kinetics. The adsorption equations of the pollutants are also described."

scholarly journals Cavitation as a method of improving the energy efficiency of oil industry enterprises

2021 ◽  
Vol 279 ◽  
pp. 01015
Author(s):  
Denis Kuimov ◽  
Maxim Minkin
Keyword(s):  
Energy Efficiency ◽  
Oil Industry ◽  
Petroleum Products ◽  
Green Energy ◽  
Theoretical Studies

The oil industry has been and remains the cornerstone of modern energy, despite the accelerated development of green energy. This article presents theoretical studies that have confirmed the effectiveness of the effect of cavitation on changes in the properties and parameters of oil and petroleum products.

Oil extraction from the sunflower seeds, mechanism and kinetics of the process

2020 ◽  
Vol 3 (1) ◽  
pp. 155-160
Author(s):  
Ye. M. Semenyshyn ◽  
◽  
V. M. Atamanyuk ◽  
O. Ya. Dobrovetska ◽  
T. I. Rymar ◽  
...  
Keyword(s):  
Oil Extraction ◽  
Sunflower Seeds ◽  
Mechanism And Kinetics ◽  
Kinetics Of

Monitoring of Petroleum-Related Environmental Contamination Using Fluorescence Fingerprinting

2006 ◽  
Vol 1 (2) ◽  
Author(s):  
P. Literathy ◽  
M. Quinn
Keyword(s):  
Environmental Contamination ◽  
Statistical Evaluation ◽  
Oil Pollution ◽  
Emission Spectra ◽  
Cost Effective ◽  
Petroleum Products ◽  
Danube River ◽  
Aromatic Components ◽  
Analytical Approaches

Petroleum and its refined products are considered the most complex contaminants frequently impacting the environment in significant quantities. They have heterogeneous chemical composition and alterations occur during environmental weathering. No single analytical method exists to characterize the petroleum-related environmental contamination. For monitoring, the analytical approaches include gravimetric, spectrometric and chromatographic methods having significant differences in their selectivity, sensitivity and cost-effectiveness. Recording fluorescence fingerprints of the cyclohexane extracts of the water, suspended solids, sediment or soil samples and applying appropriate statistical evaluation (e.g. by correlating the concatenated emission spectra of the fingerprints of the samples with arbitrary standards (e.g. petroleum products)), provides a powerful, cost-effective analytical tool for characterization of the type of oil pollution and detecting the most harmful aromatic components of the petroleum contaminated matrix. For monitoring purposes, the level of the contamination can be expressed as the equivalent concentration of an appropriate characteristic standard, based on the fluorescence intensities at the relevant characteristic wavelengths. These procedures are demonstrated in the monitoring of petroleum-related pollution in the water and suspended sediment in the Danube river basin

scholarly journals Oil industry, wild meat trade and roads: indirect effects of oil extraction activities in a protected area in north-eastern Ecuador

2009 ◽  
Vol 12 (4) ◽  
pp. 364-373 ◽  
Author(s):  
E. Suárez ◽  
M. Morales ◽  
R. Cueva ◽  
V. Utreras Bucheli ◽  
G. Zapata-Ríos ◽  
...  
Keyword(s):  
Indirect Effects ◽  
Protected Area ◽  
Oil Industry ◽  
Oil Extraction ◽  
North Eastern ◽  
Wild Meat

Experimental and modelling of supercritical oil extraction from rapeseeds and sunflower seeds

2011 ◽  
Vol 89 (11) ◽  
pp. 2477-2484 ◽  
Author(s):  
Olivier Boutin ◽  
Axel De Nadaï ◽  
Antonio Garcia Perez ◽  
Jean-Henry Ferrasse ◽  
Marina Beltran ◽  
...  
Keyword(s):  
Oil Extraction ◽  
Sunflower Seeds

scholarly journals Impact of Operational Research on Performance Control of a Project in the Oil and Gas Industry

2020 ◽  
Vol 5 (3) ◽  
pp. 320-326
Author(s):  
Ionut Nica
Keyword(s):  
Oil And Gas ◽  
Raw Materials ◽  
Oil Industry ◽  
Oil And Gas Industry ◽  
Industrial Area ◽  
Petroleum Products ◽  
Successful Implementation ◽  
Human Society ◽  
Current Configuration ◽  
Extraction Refining

The explosive development of the human society in contrast to the limited character of resources determines the need for successful implementation of mathematic models in the decision-making process concerning the use of available resources. The oil industry includes a series of global processes such as mining, extraction, refining, transport (road, rail, ship and pipeline) and oil products. The products of this industry with the highest degree of utilization are gasoline and diesel but the portfolio is much broader, kerosene, bitumen, fuel and raw materials for other chemicals such as solvents, pesticides, fertilizers and materials plastic. The oil industry comprises three major areas: "upstream" extraction; refining - "midstream" and transportation and marketing of downstream products. In most cases refining is considered to be part of downstream, Oil and petroleum products are essential for many industries and their importance is vital in maintaining and developing the industrial area in the current configuration.

scholarly journals POTENTIOMETRIC DETERMINATION OF THE ANTIOXIDANT ACTIVITY OF MEDICINAL PLANTS

10.23856/3512 ◽  
2019 ◽  
Vol 35 (4) ◽  
pp. 102-109 ◽  
Author(s):  
Halyna Kovalchuk ◽  
Oksana Lupak ◽  
Halyna Klepach ◽  
Ihor Polyuzhyn
Keyword(s):  
Antioxidant Activity ◽  
Oil Pollution ◽  
Environmentally Friendly ◽  
Petroleum Products ◽  
Urtica Dioica ◽  
Hippophae Rhamnoides ◽  
Chelidonium Majus ◽  
Hippophaë Rhamnoides ◽  
Oxidation Reduction ◽  
Significant Difference

 The article deals with the analysis of the existing methods of investigating the antioxidant activity of plants’ origin and the expediency of measuring oxidation-reduction potential for this purpose.The integral AOA of alcohol extracts Urtica dioica, Trifolium pretense, Chelidonium majus, Hippophae rhamnoides has been determined by potentiometric method using the mediator system. It was established that the leaves of sea – buckthorn are characterised by the highest antioxidant activity (2.05 ± 0.1 mg AA / ml). The АОА of plants Urtica dioica, Chelidonium majus, that were growing along the transport zone is higher by 23,1-27,9% comparing with the plants collected from environmentally friendly area. It was found out that the plants of Hippophae rhamnoides L. coriander were adapted to oil pollution, as evidenced by the absence of a significant difference between AOA of plants collected from environmentally friendly area comparing with the plants that were growing on the soil polluted with petroleum products.

scholarly journals Genetic impact on protein content and hullability of sunflower seeds, and on the quality of sunflower meal

OCL ◽  
2016 ◽  
Vol 23 (2) ◽  
pp. D205 ◽  
Author(s):  
Sylvie Dauguet ◽  
Françoise Labalette ◽  
Frédéric Fine ◽  
Patrick Carré ◽  
André Merrien ◽  
...  
Keyword(s):  
Protein Content ◽  
Sunflower Seeds ◽  
Sunflower Meal ◽  
Genetic Impact

From the history of the problem of oil transportation and storage. Contribution of Shukhov V.G.

2021 ◽  
pp. 50-54
Author(s):  
L. R. Yurenkova ◽  
N. V. Bilash
Keyword(s):  
Oil Industry ◽  
Petroleum Products ◽  
Fuel Oil ◽  
Oil Pipeline ◽  
Oil Storage ◽  
Oil Transportation ◽  
Oil Pipelines ◽  
Steel Tanks ◽  
Cylindrical Steel Tanks ◽  
And Storage

A significant part of the oil consumed in the world is transported from production and processing sites to consumers via tankers and pipelines. According to experts' forecasts, the demand for oil and petroleum products in the coming years will be significantly higher than in 2020. In Russia, the oil transportation market is developing in several directions. The main directions are investing in pipeline transport and improving the design of tanks for storing oil and petroleum products. The article considers the contribution of the great Russian engineer V.G. Shukhov to the solution of the problem of oil transportation and storage and in general to the development of the oil industry. In the article "Oil Pipelines" (1884) and in the book "Pipelines and their application in the oil industry" (1894), V.G. Shukhov gave precise mathematical formulae for describing the processes of oil and fuel oil flowing through pipelines, creating a classical theory of oil pipelines. He is the author of the projects of the first Russian main pipelines: Baku-Batumi with a length of 883 km (1907) and Grozny-Tuapse with a length of 618 km (1928). Shukhov V.G. designed and then supervised the construction of oil pipelines of the companies "Branobel", "G.M. Lianozova and sons" and the world's first heated fuel oil pipeline. Working in the oil fields in Baku, Shukhov V.G. developed the basics of lifting and pumping oil products, proposed a method of lifting oil using compressed air — airlift, developed a calculation method and technology for the construction of cylindrical steel tanks for oil storage facilities.

Applying machine learning to satellite imagery and vessel-tracking data to detect chronic oil pollution from ships at sea and identify the polluters

2021 ◽  
Author(s):  
Jona Raphael ◽  
Ben Eggleston ◽  
Ryan Covington ◽  
Tatianna Evanisko ◽  
Sasha Bylsma ◽  
...  
Keyword(s):  
Machine Learning ◽  
Oil Spills ◽  
Oil Pollution ◽  
Satellite Image ◽  
Petroleum Products ◽  
Training Data ◽  
Automatic Identification ◽  
Identification System ◽  
Sar Imagery ◽  
Pollution Events

<p><strong>Operational oil discharges from ships</strong>, also known as “bilge dumping,” have been identified as a major source of petroleum products entering our oceans, cumulatively exceeding the largest oil spills, such as the Exxon Valdez and Deepwater Horizon spills, even when considered over short time spans. However, we still don’t have a good estimate of</p><ul><li>How much oil is being discharged;</li> <li>Where the discharge is happening;</li> <li>Who the responsible vessels are.</li> </ul><p>This makes it difficult to prevent and effectively respond to oil pollution that can damage our marine and coastal environments and economies that depend on them.</p><p> </p><p>In this presentation we will share SkyTruth’s recent work to address these gaps using machine learning tools to detect oil pollution events and identify the responsible vessels when possible. We use a convolutional neural network (CNN) in a ResNet-34 architecture to perform <strong>pixel segmentation</strong> on all incoming <strong>Sentinel-1 synthetic aperture radar</strong> (SAR) imagery to classify slicks. Despite the satellites’ incomplete oceanic coverage, we have been detecting an average of <strong>135 vessel slicks per month</strong>, and have identified several geographic hotspots where oily discharges are occurring regularly. For the images that capture a vessel in the act of discharging oil, we rely on an <strong>Automatic Identification System</strong> (AIS) database to extract details about the ships, including vessel type and flag state. We will share our experience</p><ul><li>Making sufficient training data from inherently sparse satellite image datasets;</li> <li>Building a computer vision model using PyTorch and fastai;</li> <li>Fully automating the process in the Amazon Web Services (AWS) cloud.</li> </ul><p>The application has been running continuously since August 2020, has processed over 380,000 Sentinel-1 images, and has populated a database with more than 1100 high-confidence slicks from vessels. We will be discussing <strong>preliminary results</strong> from this dataset and remaining challenges to be overcome.</p><p> </p><p>Our objective in making this information and the underlying code, models, and training data <strong>freely available to the public</strong> and governments around the world is to enable public pressure campaigns to improve the prevention of and response to pollution events. Learn more at https://skytruth.org/bilge-dumping/</p>

Sign in / Sign up

Export Citation Format

Share Document