id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-9444	Fu, Yu; Zhang, Mingzhou	Production Capacity Prediction of Fractured Horizontal Wells Based on XGBoost	2023	3	.pdf	application/pdf	2165	98	38	In this paper, firstly, Spearman correlation analysis is used to calculate the weight of geological and engineering factors that affect the productivity after tight gas pressure, and then XGBoost algorithm is used to directly start from geological parameters and engineering parameters through data mining technology, break through the limitations of traditional theoretical models, establish productivity prediction models for Tight gas horizontal wells in Sulige region, and improve productivity prediction efficiency and accuracy. (2) Taking the data of 267 actual fractured wells in Sulige area as training samples, the productivity prediction model of Tight gas horizontal wells is established using XGBoost algorithm with high accuracy.	cache/ajst-9444.pdf	txt/ajst-9444.txt