1-20 of 79
Artificial intelligence
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Subsurface Image Morphing Operator Using Deep Learning Techniques

C. S. Chen, D. Datta, A. Chandran, M. Gupta, J. Chen, M. Sidahmed
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32836-MS
https://doi.org/10.4043/32836-MS
Add To Cart
View Paper titled, Subsurface Image Morphing Operator Using Deep Learning Techniques
Open the PDF for Subsurface Image Morphing Operator Using Deep Learning Techniques in another window
Add to Citation Manager
Proceedings Papers

WAG Optimization of Egg Model with Brazilian Pre-Salt Fluid Using PSO Algorithm

V. R. Freitas, William Humberto Cuéllar Sánchez, G. S. Lima, M. A. Pastrana, E. P. Barroso, Daniel M. Muñoz, R. V. de Almeida, E. L. F. Fortaleza
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32825-MS
https://doi.org/10.4043/32825-MS
Add To Cart
View Paper titled, WAG Optimization of Egg Model with Brazilian Pre-Salt Fluid Using PSO Algorithm
Open the PDF for WAG Optimization of Egg Model with Brazilian Pre-Salt Fluid Using PSO Algorithm in another window
Add to Citation Manager
Proceedings Papers

A Framework for Trustworthy Digital Twins Over their Lifecycle

O. H. Hansen, V. Jaiswal
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32851-MS
https://doi.org/10.4043/32851-MS
Add To Cart
View Paper titled, A Framework for Trustworthy Digital Twins Over their Lifecycle
Open the PDF for A Framework for Trustworthy Digital Twins Over their Lifecycle in another window
Add to Citation Manager
Proceedings Papers

Formation Evaluation Enhanced by Cloud-Based Platform – A Presalt Case Study Using Public Data

A. Bertolini., M. Dantas, V. C. Baines, N. Bize-Forest, O. C. Mullins
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32877-MS
https://doi.org/10.4043/32877-MS
Add To Cart
View Paper titled, Formation Evaluation Enhanced by Cloud-Based Platform – A Presalt Case Study Using Public Data
Open the PDF for Formation Evaluation Enhanced by Cloud-Based Platform – A Presalt Case Study Using Public Data in another window
Add to Citation Manager
Proceedings Papers

The 3W Project and its Strategy to Foster the Development of Data-Driven Solutions for the Offshore Sector

R. E. V. Vargas, R. L. A. Pinto
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32875-MS
https://doi.org/10.4043/32875-MS
Add To Cart
View Paper titled, The 3W Project and its Strategy to Foster the Development of Data-Driven Solutions for the Offshore Sector
Open the PDF for The 3W Project and its Strategy to Foster the Development of Data-Driven Solutions for the Offshore Sector in another window
Add to Citation Manager
Proceedings Papers

A Vision of the Use of Meta Data in a Digital Field Map to Accelerate the Acceptance of Subsea Autonomy in Assuring Asset Integrity

A. S. Gower, A. Britto, C. d. Lima, J. T. Marinho, L. Lopes, R. Peçanha
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32855-MS
https://doi.org/10.4043/32855-MS
Add To Cart
View Paper titled, A Vision of the Use of Meta Data in a Digital Field Map to Accelerate the Acceptance of Subsea Autonomy in Assuring Asset Integrity
Open the PDF for A Vision of the Use of Meta Data in a Digital Field Map to Accelerate the Acceptance of Subsea Autonomy in Assuring Asset Integrity in another window
Add to Citation Manager
Proceedings Papers

Digital Transformation in the O&G Industry with the Use of Drones

R. Faustino, G. L. L. da Silva, F. M. Coelho, A. Ovalle, J. L. B. Santos, C. L. Silva, D. M. P. da Silva, M. V. C. de Araujo, N. M. Felix, R. S. Minette, T. S. Hermeto, G. S. Ramos, M. M. Cordeiro, C. A. Marinho, H. Ceccolin, A. V. Cairo, F. S. Machado, B. C. Porto, D. R. M. dos Santos
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32913-MS
https://doi.org/10.4043/32913-MS
Add To Cart
View Paper titled, Digital Transformation in the O&G Industry with the Use of Drones
Open the PDF for Digital Transformation in the O&G Industry with the Use of Drones in another window
Add to Citation Manager
Proceedings Papers

Ensemble-Based Assisted History Match Using Machine Learning and Optimization Model

D. Victoria, L. Mendoza, C. Gonzalez
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32938-MS
https://doi.org/10.4043/32938-MS
Add To Cart
View Paper titled, Ensemble-Based Assisted History Match Using Machine Learning and Optimization Model
Open the PDF for Ensemble-Based Assisted History Match Using Machine Learning and Optimization Model in another window
Add to Citation Manager
Proceedings Papers

Value of Downhole Drilling Data for Real-Time Formation Evaluation and Early Decision Making

Umesh Prasad, Lei Wu, Amer Hanif
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32936-MS
https://doi.org/10.4043/32936-MS
Add To Cart
View Paper titled, Value of Downhole Drilling Data for Real-Time Formation Evaluation and Early Decision Making
Open the PDF for Value of Downhole Drilling Data for Real-Time Formation Evaluation and Early Decision Making in another window
Add to Citation Manager
Proceedings Papers

Offshore Wind Power: Using Existing Geo-Data to Derisk Offshore Wind Energy Development and Infrastructure Investment Decisions

Jason Smith, Kathryn Rovang, Natalia Signorelli, John Chatten
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32921-MS
https://doi.org/10.4043/32921-MS
Add To Cart
View Paper titled, Offshore Wind Power: Using Existing Geo-Data to Derisk Offshore Wind Energy Development and Infrastructure Investment Decisions
Open the PDF for Offshore Wind Power: Using Existing Geo-Data to Derisk Offshore Wind Energy Development and Infrastructure Investment Decisions in another window
Add to Citation Manager
Proceedings Papers

Data-Driven Workflow for Categorization of Brines Applied to a Pre-Salt Field

M. A. Fernandes, E. Gildin, M. A. Sampaio
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32950-MS
https://doi.org/10.4043/32950-MS
Add To Cart
View Paper titled, Data-Driven Workflow for Categorization of Brines Applied to a Pre-Salt Field
Open the PDF for Data-Driven Workflow for Categorization of Brines Applied to a Pre-Salt Field in another window
Add to Citation Manager
Proceedings Papers

Decision Tree Regression Method Applied in Well Clustering: A Supervised Approach

I. G. P. Vianna, I. F. Valladares, C. E. P. Pacheco, A. C. de A. Brito, F. R. Costa, D. H. Mendes
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32917-MS
https://doi.org/10.4043/32917-MS
Add To Cart
View Paper titled, Decision Tree Regression Method Applied in Well Clustering: A Supervised Approach
Open the PDF for Decision Tree Regression Method Applied in Well Clustering: A Supervised Approach in another window
Add to Citation Manager
Proceedings Papers

Catching Failures in 10 Minutes: An Approach to No Code, Fast Track, AI-Based Real Time Process Monitoring

T. K. Anzai, P. H. T. Furtado, G. M. de Brito, J. S. Santos, P. C. M. Moreira, F. C. Diehl, L. E. L. Ferreira, W. M. Grava
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32898-MS
https://doi.org/10.4043/32898-MS
Add To Cart
View Paper titled, Catching Failures in 10 Minutes: An Approach to No Code, Fast Track, AI-Based Real Time Process Monitoring
Open the PDF for Catching Failures in 10 Minutes: An Approach to No Code, Fast Track, AI-Based Real Time Process Monitoring in another window
Add to Citation Manager
Proceedings Papers

Application of Automatic Wellhead Displacement Monitoring System by Computer Vision in Offshore Well

G. T. Teixeira, M. C. Weidlich, C. O. de Souza, R. Dias, R. G. Pestana
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32908-MS
https://doi.org/10.4043/32908-MS
Add To Cart
View Paper titled, Application of Automatic Wellhead Displacement Monitoring System by Computer Vision in Offshore Well
Open the PDF for Application of Automatic Wellhead Displacement Monitoring System by Computer Vision in Offshore Well in another window
Add to Citation Manager
Proceedings Papers

Implementing Unsupervised Machine Learning Algorithms for Image Processing in Post-Stack Seismic Data to Delineated Structural Geological Features

A. A. Aqrawi, A. A. Aqrawi
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32929-MS
https://doi.org/10.4043/32929-MS
Add To Cart
View Paper titled, Implementing Unsupervised Machine Learning Algorithms for Image Processing in Post-Stack Seismic Data to Delineated Structural Geological Features
Open the PDF for Implementing Unsupervised Machine Learning Algorithms for Image Processing in Post-Stack Seismic Data to Delineated Structural Geological Features in another window
Add to Citation Manager
Proceedings Papers

Revolutionizing Drilling Operations: An Automated Approach for Drilling Analysis and Optimization Using Real-Time Data

D. Belov, F. Silva, A. Malik, E. Liland
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32892-MS
https://doi.org/10.4043/32892-MS
Add To Cart
View Paper titled, Revolutionizing Drilling Operations: An Automated Approach for Drilling Analysis and Optimization Using Real-Time Data
Open the PDF for Revolutionizing Drilling Operations: An Automated Approach for Drilling Analysis and Optimization Using Real-Time Data in another window
Add to Citation Manager
Proceedings Papers

Establishment of a Robust Digital Transformation Framework to Increase Production and Perpetuate Operational Efficiency Gains

P. C. M. Moreira, L. E. L. Ferreira
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32951-MS
https://doi.org/10.4043/32951-MS
Add To Cart
View Paper titled, Establishment of a Robust Digital Transformation Framework to Increase Production and Perpetuate Operational Efficiency Gains
Open the PDF for Establishment of a Robust Digital Transformation Framework to Increase Production and Perpetuate Operational Efficiency Gains in another window
Add to Citation Manager
Proceedings Papers

Development of a Reliability and Maintenance Database System for Offshore Well Equipment in Brazil: MINERVA, Phase 1

Alice Claussen Destri, Pavel Rodrigues Bernardi, Manoela Teixeira Lopes, Mario Marcondes Machado, Helton Luiz Santana Oliveira
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32957-MS
https://doi.org/10.4043/32957-MS
Add To Cart
View Paper titled, Development of a Reliability and Maintenance Database System for Offshore Well Equipment in Brazil: MINERVA, Phase 1
Open the PDF for Development of a Reliability and Maintenance Database System for Offshore Well Equipment in Brazil: MINERVA, Phase 1 in another window
Add to Citation Manager
Proceedings Papers

Development and Implementation of an IA-Based System to Automate Textual Classification on Daily Drilling Reports

S. Perrout, A. F. Riente, G. Vanni, J. Anjos, D. H. Mendes, I. Guilherme, D. C. Pedronette, R. B. Rodrigues, P. I. Privatto, R. P. Murari, B. Penteado, L. C. Sugi Afonso
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32978-MS
https://doi.org/10.4043/32978-MS
Add To Cart
View Paper titled, Development and Implementation of an IA-Based System to Automate Textual Classification on Daily Drilling Reports
Open the PDF for Development and Implementation of an IA-Based System to Automate Textual Classification on Daily Drilling Reports in another window
Add to Citation Manager
Proceedings Papers

Optimizing Well Control Strategies with IDLHC-MLR: A Machine Learning Approach to Address Geological Uncertainties and Reduce Simulations

D. R. Santos, A. R. Fioravanti, V. E. Botechia, D. J. Schiozer
Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32985-MS
https://doi.org/10.4043/32985-MS
Add To Cart
View Paper titled, Optimizing Well Control Strategies with IDLHC-MLR: A Machine Learning Approach to Address Geological Uncertainties and Reduce Simulations
Open the PDF for Optimizing Well Control Strategies with IDLHC-MLR: A Machine Learning Approach to Address Geological Uncertainties and Reduce Simulations in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal