000			01116nab a2200181 4500
005			20260520002208.0
008			260224s2022 xxu ing
041			_aInglés
245	0	0	_aData-Driven Approach Detects, Classifies Screenout in Horizontal Wells
260			_a _b _cMayo 2022
270			_a12/05/2022 ; 12/05/2022
300			_a3 p. ; 85-87
520			_aMultistage hydraulic fracturing has gained global popularity as more tight geologic formations are developed economically for hydrocarbon resources. However, screenout is a major issue caused by the blockage of proppant inside the fractures. The complete paper presents a screenout-classification system based on Gaussian hidden Markov models (GHMMs) trained on simulated data that predicts screenouts and provides early warning by learning prescreenout patterns in surface-pressure signals. The methodology is a useful tool for early screenout detection and shows the promise of other fracturing time-series data analysis.
581			_a5
773	0		_tJournal of Petroleum Technology _g
942			_cARTICULO
999			_c194665 _d194665