1-20 of 37
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

AI Seismic Interpretation: Improving Our Understanding of the Subsurface

H. Whittaker
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223476-MS
https://doi.org/10.2118/223476-MS
Add To Cart
View Paper titled, AI Seismic Interpretation: Improving Our Understanding of the Subsurface
Open the PDF for AI Seismic Interpretation: Improving Our Understanding of the Subsurface in another window
Add to Citation Manager
Proceedings Papers

Asset and Materials Data Enrichment Automation using Computer Vision and Large Language Model

S. Ispayev, N. Khamzin, O. Revkova, B. Uanassov, M. Sison
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223468-MS
https://doi.org/10.2118/223468-MS
Add To Cart
View Paper titled, Asset and Materials Data Enrichment Automation using Computer Vision and Large Language Model
Open the PDF for Asset and Materials Data Enrichment Automation using Computer Vision and Large Language Model in another window
Add to Citation Manager
Proceedings Papers

Rock Typing and Differentiated Study of Filtration Properties of a Fractured Carbonate Reservoir by Using ML Algorithms on the Example of a Deposit in Uzbekistan

E. Kolbikova, R. Valiev, K. Yanidis, B. Suleimenov, J. Shakirova, A. A. Grachyov, A. Gavrilov, S. Togaev, K. Abidov, M. Tillyabaev
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223473-MS
https://doi.org/10.2118/223473-MS
Add To Cart
View Paper titled, Rock Typing and Differentiated Study of Filtration Properties of a Fractured Carbonate Reservoir by Using ML Algorithms on the Example of a Deposit in Uzbekistan
Open the PDF for Rock Typing and Differentiated Study of Filtration Properties of a Fractured Carbonate Reservoir by Using ML Algorithms on the Example of a Deposit in Uzbekistan in another window
Add to Citation Manager
Proceedings Papers

Advancing Aboveground Storage Tank Integrity: Exploring and Implementing Online Robotic Inspection

B. Krishnan, A. Ali, M. Al Harbi, E. Natarajan
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223425-MS
https://doi.org/10.2118/223425-MS
Add To Cart
View Paper titled, Advancing Aboveground Storage Tank Integrity: Exploring and Implementing Online Robotic Inspection
Open the PDF for Advancing Aboveground Storage Tank Integrity: Exploring and Implementing Online Robotic Inspection in another window
Add to Citation Manager
Proceedings Papers

Early Signs of Gas Recognition Based on Machine Learning Analysis of Passive Acoustics

Yu. Maslennikova, V. Nagimov, L. Khakimullina, A. Koloda
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223396-MS
https://doi.org/10.2118/223396-MS
Add To Cart
View Paper titled, Early Signs of Gas Recognition Based on Machine Learning Analysis of Passive Acoustics
Open the PDF for Early Signs of Gas Recognition Based on Machine Learning Analysis of Passive Acoustics in another window
Add to Citation Manager
Proceedings Papers

Deformation Monitoring of Northern Caspian Sea Kashagan Oilfield Using Radar Satellite Remote Sensing

E. Bayramov, G. Tessari, M. Kada, S. Aliyeva, M. Buchroithner, J. Neafie, A. Duisenbiev
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223409-MS
https://doi.org/10.2118/223409-MS
Add To Cart
View Paper titled, Deformation Monitoring of Northern Caspian Sea Kashagan Oilfield Using Radar Satellite Remote Sensing
Open the PDF for Deformation Monitoring of Northern Caspian Sea Kashagan Oilfield Using Radar Satellite Remote Sensing in another window
Add to Citation Manager
Proceedings Papers

Proven Advanced Data Science Techniques for Improved Automated Lithology Classification Using Well Log Data

Alikhan Kurmankulov, Zhanat Kurmankulova
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223381-MS
https://doi.org/10.2118/223381-MS
Add To Cart
View Paper titled, Proven Advanced Data Science Techniques for Improved Automated Lithology Classification Using Well Log Data
Open the PDF for Proven Advanced Data Science Techniques for Improved Automated Lithology Classification Using Well Log Data in another window
Add to Citation Manager
Proceedings Papers

Integrating Multi-Source Experiment Data and Variational Diffusion Model for Intelligent Constructing Digital Core: A Case Study of Sandstone Reservoir in the Turgay Basin Central South Kazakhstanc

Lian Wang, Liang Zhang, Rui Deng, Hehua Wang, Xing Zhao, Bing Xu
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223464-MS
https://doi.org/10.2118/223464-MS
Add To Cart
View Paper titled, Integrating Multi-Source Experiment Data and Variational Diffusion Model for Intelligent Constructing Digital Core: A Case Study of Sandstone Reservoir in the Turgay Basin Central South Kazakhstanc
Open the PDF for Integrating Multi-Source Experiment Data and Variational Diffusion Model for Intelligent Constructing Digital Core: A Case Study of Sandstone Reservoir in the Turgay Basin Central South Kazakhstanc in another window
Add to Citation Manager
Proceedings Papers

Enhancing Safety Data Analysis Through Machine Learning Models

K. Kazbekova, Karimzhanov Zhakhongir, Makhmut Akerke
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223383-MS
https://doi.org/10.2118/223383-MS
Add To Cart
View Paper titled, Enhancing Safety Data Analysis Through Machine Learning Models
Open the PDF for Enhancing Safety Data Analysis Through Machine Learning Models in another window
Add to Citation Manager
Proceedings Papers

Advancements in Applications of Machine Learning for Formation Damage Predictions

T. E. Abdulmutalibov, Y. Y. Shmoncheva, G. V. Jabbarova
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217610-MS
https://doi.org/10.2118/217610-MS
Add To Cart
View Paper titled, Advancements in Applications of Machine Learning for Formation Damage Predictions
Open the PDF for Advancements in Applications of Machine Learning for Formation Damage Predictions in another window
Add to Citation Manager
Proceedings Papers

Maximizing Information Value Through Machine Learning: AI-Powered Petrophysical Solution for the Mature Uzen Field

Makpal Bektybayeva, Airat Ismagilov, Ridvan Akkurt, Ivan Velikanov, Anna Zhelezova, Alibek Zhaikanov, Sholpan Pangereyeva, Ruslan Malmanov
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217585-MS
https://doi.org/10.2118/217585-MS
Add To Cart
View Paper titled, Maximizing Information Value Through Machine Learning: AI-Powered Petrophysical Solution for the Mature Uzen Field
Open the PDF for Maximizing Information Value Through Machine Learning: AI-Powered Petrophysical Solution for the Mature Uzen Field in another window
Add to Citation Manager
Proceedings Papers

Real-Time AI Geosteering for Horizontal Well Trajectory Optimization

G. Peshkov, M. Pavlov, K. Katterbauer, A. Al Shehri
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217527-MS
https://doi.org/10.2118/217527-MS
Add To Cart
View Paper titled, Real-Time AI Geosteering for Horizontal Well Trajectory Optimization
Open the PDF for Real-Time AI Geosteering for Horizontal Well Trajectory Optimization in another window
Add to Citation Manager
Proceedings Papers

Injection Optimization for Oil Production Increase by Quantitative Assessment of Crosswell Interference Based on Machine Learning

V. U. Kim, D. N. Gulyaev, K. A. Voron, A. A. Prilutckiy, I. N. Shigapov
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217622-MS
https://doi.org/10.2118/217622-MS
Add To Cart
View Paper titled, Injection Optimization for Oil Production Increase by Quantitative Assessment of Crosswell Interference Based on Machine Learning
Open the PDF for Injection Optimization for Oil Production Increase by Quantitative Assessment of Crosswell Interference Based on Machine Learning in another window
Add to Citation Manager
Proceedings Papers

Oil & Gas Exploration and Development with the Reverse Time Holography Technology

G. Erokhin, M. Erokhina, K. Safran
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217596-MS
https://doi.org/10.2118/217596-MS
Add To Cart
View Paper titled, Oil & Gas Exploration and Development with the Reverse Time Holography Technology
Open the PDF for Oil & Gas Exploration and Development with the Reverse Time Holography Technology in another window
Add to Citation Manager
Proceedings Papers

Simulation-Based Methodology for Optimization of Infill Well Locations in a Mature Oilfield

P. Levchenko, E. Iskakov
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217506-MS
https://doi.org/10.2118/217506-MS
Add To Cart
View Paper titled, Simulation-Based Methodology for Optimization of Infill Well Locations in a Mature Oilfield
Open the PDF for Simulation-Based Methodology for Optimization of Infill Well Locations in a Mature Oilfield in another window
Add to Citation Manager
Proceedings Papers

Enhancing BHA Tendency Modeling Accuracy Using Hybrid Physics and Machine Learning

H. Suryadi, T. Yu, R. Boualleg
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217591-MS
https://doi.org/10.2118/217591-MS
Add To Cart
View Paper titled, Enhancing BHA Tendency Modeling Accuracy Using Hybrid Physics and Machine Learning
Open the PDF for Enhancing BHA Tendency Modeling Accuracy Using Hybrid Physics and Machine Learning in another window
Add to Citation Manager
Proceedings Papers

Seismic Facies Clustering via Spectral Decomposition using Machine Learning

O. Mammadov, A. Shafiyev, R. Malikov, H. Asgarov, J. Karimli, I. Shahsenov, T. Yeleskina, I. Karimli, N. Abdullayev
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217653-MS
https://doi.org/10.2118/217653-MS
Add To Cart
View Paper titled, Seismic Facies Clustering via Spectral Decomposition using Machine Learning
Open the PDF for Seismic Facies Clustering via Spectral Decomposition using Machine Learning in another window
Add to Citation Manager
Proceedings Papers

Application of Machine Learning Algorithms to Predict Plant Process Upsets During Well Cleanup

Bagdat Toleubay, Baurzhan Orazov, Renat Sadyrbakiyev, Edward Neubauer
Paper presented at the SPE Annual Caspian Technical Conference, November 15–17, 2022
Paper Number: SPE-212089-MS
https://doi.org/10.2118/212089-MS
Add To Cart
View Paper titled, Application of Machine Learning Algorithms to Predict Plant Process Upsets During Well Cleanup
PDF Link View PDF Options for the article titled, Application of Machine Learning Algorithms to Predict Plant Process Upsets During Well Cleanup
Add to Citation Manager
Proceedings Papers

Intelligent Methods for Analyzing High-Frequency Production Data to Optimize Well Operation Modes

Evgeniy Judin, Alla Andrianova, Timur Ganeev, Oleg Kobzar, Danil Isaev, Mikhail Polinov, Mikhail Gudilov, Aleksandr Shestakov, Grigoriy Mosyagin, Evgeniy Chadin, Artem Sirotkin, Artem Chervyak, Ivan Kradinov, Artem Bagaziy, Vlas Ovechkin
Paper presented at the SPE Annual Caspian Technical Conference, November 15–17, 2022
Paper Number: SPE-212118-MS
https://doi.org/10.2118/212118-MS
Add To Cart
View Paper titled, Intelligent Methods for Analyzing High-Frequency Production Data to Optimize Well Operation Modes
PDF Link View PDF Options for the article titled, Intelligent Methods for Analyzing High-Frequency Production Data to Optimize Well Operation Modes
Add to Citation Manager
Proceedings Papers

Modeling and Optimization of ESP Wells Operating in Intermittent Mode

Evgeniy Yudin, George Piotrovskiy, Nikita Smirnov, Daniel Bayrachnyi, Michael Petrushin, Sabina Isaeva, Paul Yudin
Paper presented at the SPE Annual Caspian Technical Conference, November 15–17, 2022
Paper Number: SPE-212116-MS
https://doi.org/10.2118/212116-MS
Add To Cart
View Paper titled, Modeling and Optimization of ESP Wells Operating in Intermittent Mode
PDF Link View PDF Options for the article titled, Modeling and Optimization of ESP Wells Operating in Intermittent Mode
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal