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dc.contributor.authorChen, Zheng
dc.contributor.authorCargill, Leslie
dc.contributor.authorNaizer, Brent
dc.date.accessioned2017-05-12T20:15:54Z
dc.date.available2017-05-12T20:15:54Z
dc.date.issued2017
dc.identifier.citationChen Z, Cargill L, Naizer B. Auto-Tuning Tub-Level Control of Blender in Hydraulic Fracturing. ASME. Dynamic Systems and Control Conference, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation ():V001T08A003en_US
dc.identifier.isbn978-0-7918-5069-5
dc.identifier.otherWOS:000398986400051
dc.identifier.urihttp://dx.doi.org/10.1115/DSCC2016-9848
dc.identifier.urihttp://hdl.handle.net/10057/13144
dc.descriptionClick on the DOI link to access the item (may not be free).en_US
dc.description.abstractHydraulic fracturing is one of the key technologies for producing shale oil and gas. During hydraulic fracturing, a blender is used to mix sand with water and chemicals to obtain a fluidic mixture that will be pumped down a well to frack rocks. In order to achieve high-quality fracturing during a job, the blender needs to maintain its tub level as well as the density of the fluidic mixture. In this paper, an auto-tuning proportional-integral (PI) control is developed for the blender automation system to maintain the tub level of its fluidic mixture. The control system adopts a single-loop PI with gains that can be auto-tuned during a job. A relay feedback test is conducted for auto-tuning the PI gains online. The auto-tuning PI control has been successfully tested in a blender simulator. Experimental results have shown that the control performance was improved after auto-tuning and that the control system was adaptive to variation in system parameters.en_US
dc.description.sponsorshipPressure Pumping Equipment Research and Development at Baker Hughes.en_US
dc.language.isoen_USen_US
dc.publisherAmerican Society of Mechanical Engineersen_US
dc.relation.ispartofseriesASME 2016 Dynamic Systems and Control Conference;v.1
dc.subjectHydraulic fracturingen_US
dc.titleAuto-tuning tub-level control of blender in hydraulic fracturingen_US
dc.typeConference paperen_US
dc.rights.holderCopyright 2016 by ASMEen_US


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