Physics-guided deep learning for predicting geological drilling risk of wellbore instability using seismic attributes data

A modified seismic reflection approach for engineering geology investigation in fractured rock zones

(2020) Yunhuo Zhang et al.   ENGINEERING GEOLOGY

Predicting seismic-based risk of lost circulation using machine learning

(2019) Zhi Geng et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Preparation and characterization of sulfonated chitosan-modified gold nanoparticles and their surface electronic payload of charged drugs

(2018) Huaisong Wang et al.   Science China-Life Sciences

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

First evaluation of foraminiferal metabarcoding for monitoring environmental impact from an offshore oil drilling site

(2016) Olivier Laroche et al.   MARINE ENVIRONMENTAL RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Safety and risk analysis of managed pressure drilling operation using Bayesian network

(2015) Majeed Abimbola et al.   SAFETY SCIENCE

Dynamic safety risk analysis of offshore drilling

(2014) Majeed Abimbola et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Analyses of Wellbore Instability in Drilling Through Chemically Active Fractured-Rock Formations

(2009) Vinh X. Nguyen et al.   SPE JOURNAL