Digital transformation: a review on artificial intelligence techniques in drilling and production applications

Artificial intelligence techniques and their application in oil and gas industry

(2020) Sachin Choubey et al.   ARTIFICIAL INTELLIGENCE REVIEW

Oil and Gas 4.0 era: A systematic review and outlook

(2019) Hongfang Lu et al.   COMPUTERS IN INDUSTRY

A realistic and public dataset with rare undesirable real events in oil wells

(2019) Ricardo Emanuel Vaz Vargas et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Probabilistic Data-Driven Prediction of Wellbore Signatures in High-Dimensional Data Using Bayesian Networks

(2018) Nastaran Bassamzadeh et al.   SPE JOURNAL

Stuck-Pipe Prediction by Use of Automated Real-Time Modeling and Data Analysis

(2017) Kent Salminen et al.   SPE DRILLING & COMPLETION

Environmental Risk Arising From Well-Construction Failure--Differences Between Barrier and Well Failure, and Estimates of Failure Frequency Across Common Well Types, Locations, and Well Age

(2013) George E. King et al.   SPE Production & Operations

Intelligent Prediction of Differential Pipe Sticking by Support Vector Machine Compared With Conventional Artificial Neural Networks: An Example of Iranian Offshore Oil Fields

(2012) Reza Jahanbakhshi et al.   SPE DRILLING & COMPLETION

Scale Prediction for Oil and Gas Production

(2012) Amy Kan et al.   SPE JOURNAL

Software survey: VOSviewer, a computer program for bibliometric mapping

(2009) Nees Jan van Eck et al.   SCIENTOMETRICS

Production Optimization by Real-Time Modeling and Alarming: The Sendji Field Case

(2009) Jacques A. Danquigny et al.   SPE Production & Operations