Maciej Szwast

New Methods of Natural Gas Adjusting for Technological Purposes Based on Modern Filtration Materials

Abstract Reservoir gas treatment technologies currently in use require significant investments in equipment and materials. Considering the foregoing, new technologies are sought for treatment and separation of components of extracted gas. They will guarantee compliance with gas quality requirements arising from applicable standards while at the same time lowering the costs of investment, service and environmental protection. Therefore, the purpose of this work was to develop an efficient mobile technology for natural gas treatment, on the basis of advanced filtering and coalescing materials and membranes, which eliminate the existing, economically non-viable processes and reduce the costs related to development of new reservoirs. The purpose of designed materials was removal of solid particles, water, higher hydrocarbons and nitrogen from natural gas. Presented integrated filtration and membrane system, characterized by a highly compact design enabling installation in container stations and transporting the system between specific points of production.

Hall effect in electrolyte flow measurements: introduction to blood flow measurements.

The Hall effect has been applied to electrolyte flow measurement. It has been proven that Hall voltage does not depend on electrolyte concentration; however, there is a linear relationship between Hall voltage and flow velocity. Obtained results for electrolyte allow us to suppose that Hall effect can be used to determine blood flow. Research on blood will be conducted as the next step.

Membranes: Improving batch membrane filtration

Batch filtration offers a vital technique within the selection of membrane filtration processes available. Applications can be found in the laboratory, but also in industrial practice where small quantities of liquid concentrates are required, for example in the life sciences. Maciej Szwast, Teresa Suchecka and Wojciech Piątkiewicz of Warsaw University describe a new computational model to help improve batch filtration design.