Technical Parameters Modeling of a Gas Probe Foaming Using an Active Experimental Type Research

• Published in: IOP conference series. Materials Science and Engineering Vol. 374; no. 1; pp. 12034 - 12042
• Main Authors: Tîtu, A M, Sandu, A V, Pop, A B, Ceocea, C, Tîtu, S
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.06.2018
• Subjects: Data processing; Depletion; Factorial experiments; Foaming; Gas flow; Hydrostatic pressure; Mathematical models; Modelling; Natural gas; Optimization; Parameter identification; Sputtering; Washing
• ISSN: 1757-8981; 1757-899X; 1757-899X
• DOI: 10.1088/1757-899X/374/1/012034

The present paper deals with a current and complex topic, namely - a technical problem solving regarding the modeling and then optimization of some technical parameters related to the natural gas extraction process. The study subject is to optimize the gas probe sputtering using experimental research methods and data processing by regular probe intervention with different sputtering agents. This procedure makes that the hydrostatic pressure to be reduced by the foam formation from the water deposit and the scrubbing agent which can be removed from the surface by the produced gas flow. The probe production data was analyzed and the so-called candidate for the research itself emerged. This is an extremely complex study and it was carried out on the field works, finding that due to the severe gas field depletion the wells flow decreases and the start of their loading with deposit water, was registered. It was required the regular wells foaming, to optimize the daily production flow and the disposal of the wellbore accumulated water. In order to analyze the process of natural gas production, the factorial experiment and other methods were used. The reason of this choice is that the method can offer very good research results with a small number of experimental data. Finally, through this study the extraction process problems were identified by analyzing and optimizing the technical parameters, which led to a quality improvement of the extraction process.