нефть

Polymeric Sorbents for the Collection of Oil and Oil Products from the Surface of Reservoirs: a 2000–2017 Review of the Russian-language Literature (Part 3)

The Russian 2000–2017 scientific, technical and patent literature devoted to the problems of the development and practical applications of polymeric sorbents for the collection of spilled oil and oil products from the surface of reservoirs and for the purification of hydrocarbon-containing aquatic environments was searched and analyzed.

Polymeric Sorbents for the Collection of Oil and Oil Products from the Surface of Reservoirs: a 2000–2017 Review of the English-language Literature (Part 2)

Oil spills after tanker and pipeline accidents pose a serious threat to the environment, lead to the loss of energy carriers and severely pollute seawater. Mechanical extraction by sorption mechanism is an effective means of oil spill liquidation from the surface of reservoirs. The English 2000–2017 scientific and technical literature devoted to the design of sorbents based on polymeric materials for the collection (absorption) of spilled oil and oil products from the surface of reservoirs with the possibility of subsequent recovery of the useful product was searched and analyzed.

Polymeric Sorbents for the Collection of Oil and Oil Products from the Surface of Reservoirs: a 2000–2017 Review of the English-language Literature (Part 1)

The scientific literature in English for 2000–2017, devoted to the problem of the development of sorbents based on polymeric materials, intended for collecting spilled oil and oil products from the surface of reservoirs, has been scanned and analyzed. Three most numerous classes of polymeric sorbent materials (cellulosic materials, acrylate copolymers and synthetic rubbers) have been identified, and the oil sorbents proposed are characterized. Prospects of using sorbents of these classes for cleaning up the surface of reservoirs from oil spills are discussed.

Identification of Oils from Samara Region Using Principal Component Analysis and Factor Discriminant Analysis

Development of methods for identification of oils is of high priority in oil industry. The following parameters for 2963 oil samples from five oilfields in the Samara region were determined: density, fraction yield at 200 °C and 300 °C, the mass fraction of sulfur, hydrogen sulphide, methyl and ethyl mercaptan, the mass concentration of chloride salts, the saturated vapor pressure. The matrix of experi- mental data was analyzed using principal component analysis (PCA) and factorial discriminant analysis (FDA) methods.

Мультипараметрическая идентификация нефтей Самарского региона

Среди многочисленных идентификационных задач, которые
встают перед химиками-аналитиками ежедневно, в настоящее
время наиболее актуальной является задача идентификации ма-
териалов природного и синтетического происхождения (установ-
ление субъекта загрязнения окружающей среды, установление
происхождения и подлинности материала). Идентификация и
количественное определение абсолютно всех компонентов ре-
альных объектов принципиально невыполнима из-за отсутствия