A New Method to Predict Water Breakthrough in Intelligent Completion Horizontal Well

MONWS: Multi-Objective Normalization Workflow Scheduling for Cloud Computing

(2023) Vamsheedhar Reddy Pillareddy et al.   Applied Sciences-Basel

Application of unlabelled big data and deep semi-supervised learning to significantly improve the logging interpretation accuracy for deep-sea gas hydrate-bearing sediment reservoirs

(2022) Linqi Zhu et al.   Energy Reports

A new and reliable dual model- and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi-supervised deep learning

(2020) Linqi Zhu et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning

(2019) Linqi Zhu et al.   APPLIED SOFT COMPUTING

Practical Application of Reservoir Geochemistry in Petroleum Exploration: Case Study from a Paleozoic Carbonate Reservoir in the Tarim Basin (Northwestern China)

(2018) Meijun Li et al.   ENERGY & FUELS

A review of the issues and treatment options for wastewater from shale gas extraction by hydraulic fracturing

(2016) José M. Estrada et al.   FUEL

Studies on the Preliminary Cracking of Heavy Oils: The Effect of Matrix Acidity and a Proposal of a New Reaction Route

(2015) Bin Wang et al.   ENERGY & FUELS