1. Benchmarking of Pulsed Field Gradient Nuclear Magnetic Resonance as a Demulsifier Selection Tool with Arabian Light Crude Oils
- Author
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Debora Salomon Marques, Sajjad Al-Khabaz, Mustafa Al-Talaq, Jabr Al-Buainain, and Ramsey White
- Subjects
Materials science ,Light crude oil ,Petroleum engineering ,Energy Engineering and Power Technology ,Oil processing ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Demulsifier ,Crude oil ,Fuel Technology ,020401 chemical engineering ,Emulsion ,0204 chemical engineering ,0210 nano-technology ,Pulsed field gradient ,Selection (genetic algorithm) - Abstract
Summary The use of chemical demulsifiers in the treatment of crude oil emulsions is an essential step in processing facilities worldwide. Each production facility requires specific demulsifier reformulations as the crude characteristics change. The assessment of candidate demulsifiers before online field trials is currently done with bottle tests. Such tests are manual, based on water dropout visually measured by operators. The development of a method that can automatically determine the speed and amount of water dropout without the laborious need to manually record water separation would significantly decrease human error. Pulsed field gradient nuclear magnetic resonance (PFG-NMR) is used as a classification tool to qualitatively rank the efficiency of different demulsifiers in breaking Arabian Light emulsions. This imaging method can evaluate demulsifier action based on the emulsion characteristics; for example, rate of sedimentation and coalescence and formation of a dense packed zone (rag layer). The results are validated against field trials performed in gas-oil separation plants (GOSPs) at two Saudi Arabian facilities. There was good agreement between the PFG-NMR method and field trials. The results were found to correspond to the water dropout in the first stage of crude oil treatment in processing plants (production traps).
- Published
- 2020
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