Artificial Intelligence, Machine Learning and Intelligent Drilling Systems

Monday, 16 October

1400 - 1700

Room 212 A-B

Technical Session

The rapid advances of Artificial Intelligence (AI) and Data Science (ML) led to the development of intelligent drilling models, software, and systems. This session showcases the applications of AI/ML and intelligent digital systems, including automatic driller optimization, automatic well-path generation, drilling advisory system, and various AI/ML-enabled models.

Session Chairperson(s)

David Gibson - Gibson Reports

1400-1425 215087
Automatic Driller Optimization Application Using Machine Learning And Artificial Intelligence Drives Consistent Performance In An Operator’s West Texas Drilling Program

R. Abbas, Chevron; A. Simon, SLB; D. Dunbar, Patterson; R. Serrano, NOV; A. Creegan, E. Prochaska, NOV Inc.
1425-1450 215132
The Secrets To Successful Deployment Of AI Drilling Advisory Systems At A Rig Site: A Case Study

M. Behounek, Apache Corp.; P. Ashok, Intellicess Inc.
1450-1515 214943
Improved Estimation Of Net Pay And Gas To Oil Ratio Using Intuition AI With Limited PVT Data

R. Chakraborty, H. Elshahawi, M. Raghorte, Senslytics Corporation; M. Malik, Chevron Corporation; S. Hanson, Chevron; L. Samano, Chevron Products Co.; S. Dasgupta, Chevron
1545-1610 214783
Stuck Pipe Prediction in Utah FORGE Geothermal Wells

A. Montes, P. Ashok, E. van Oort, The University of Texas At Austin
1610-1635 214773
Improving Velocity Modeling with Surface Drilling Data Using Machine Learning

B. Gong, A. Hossain, K.A. Sanclemente, O.G. Alli, B. Harvey, K. Wang, Chevron
1635-1700 215021
A New Paradigm For Automatic Well Path Generation Using Multidisciplinary Constraints

E. Cayeux, NORCE Norwegian Research Center; G. Pelfrene, R. Mihai, E. Dvergsnes, NORCE Norwegian Research Centre; B.P. Tjostheim, Equinor ASA; A. Baume, TotalEnergies; R. Khosravanian, Halliburton; T. Kristiansen, Aker BP ASA
Alternate 215063
Closed-loop Digital Workflow To Drive Drilling Performance

D. Li, A. Cherel, P. Zhang, K. Hoe Tang, C. Byrd, D. Mendoza, E. Procel, SLB
Alternate 214851
Risk Assessment Of Drilling Tool Failure—A Data Driven Technique Assisted By Expert Knowledge

J. Hutahaean, K. Simon, E. Sakautzky, Baker Hughes
Alternate 215046
First Complete Digital Drilling Package Deployment For Risks Reduction And Performance Optimization: Africa Case History

P. Ferrara, Eni; L. Dal Forno, Eni E&P; G. Magni, Eni; D. Santoro, ENI S.P.A.; C. Sanasi, eni; L. Mutidieri, ENI S.P.A.

2023 Technical Program

Artificial Intelligence, Machine Learning and Intelligent Drilling Systems