id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-24981	Cheng, Yinliang	Prediction of Sandstone Porosity based on Machine Learning	2024	3	.pdf	application/pdf	1442	88	43	The accuracy of ML models often hinges on the quality and quantity of training data, which can vary significantly across different reservoirs and geographical locations. This paper explores the application of machine learning models to predict sandstone porosity using various geological and petrophysical features.	cache/ajst-24981.pdf	txt/ajst-24981.txt