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Keywords: machine learning
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Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216336-MS
.... A comprehensive study of multiple training methods is done in this paper. Model and tokenizer developed were packaged and archived to be consumed in machine learning pipelines to specific use-cases across the organization. For an organization adopting digital transformation, the availability of an organization...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216332-MS
... and portfolio management constraint-based reasoning geology artificial intelligence generator machine learning constraint layout generator upstream oil & gas rock type evolutionary algorithm configuration reservoir integration representation visual representation step-out constraint...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216379-MS
.... wellbore seismic upstream oil & gas united states government asia government geologist geology artificial intelligence machine learning rock type production control neural network production monitoring sedimentary rock borehole imaging deep learning reservoir surveillance accuracy...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216401-MS
... Abstract The paper demonstrates how Operational Pigging frequency is optimized to minimize production deferment and achieve Operational Excellence by predicting the required frequency via machine learning based on the operating condition of the pipeline. Currently, the Operational Pigging...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216394-MS
... from the simulation models. Thereafter, several Machine Learning (ML) meta-models are trained to predict field-level production, well drilling and abandonment schedules, and the performance of production and injection wells. The outcome is selected well trajectories based on opportunity maps generated...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216402-MS
...-specific nuances and limitations for improved NLP model performance and reliability. natural language application ga language model asia government machine learning language model arxiv classification artificial intelligence representation lms abbreviation upstream oil & gas...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216642-MS
... requirement for sustainable oil production, ESP down time and Meantime to recover reduction was highly envisaged. Artificial intelligence-based Machine learning Solution was utilized for predicting probability of failures based on real time data monitoring, anomaly detection and historical failures. Real time...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216257-MS
... accuracy was 91.2% overall when predicting for cleanliness using the AMPP standard classification system. video pipe artificial intelligence application united states government inspection video upstream oil & gas machine learning variation borescope pipeline spectrum evaluation...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216256-MS
... organize the process in correct way and avoid potential issues related to hardware and infrastructure, environmental, business and operational issues. asia government uae government upstream oil & gas artificial intelligence deep learning machine learning video understanding algorithm...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216247-MS
... that combines reduced physics models - Capacitance Resistance Model (CRM), the Buckley Leverett (BL) oil model and machine learning model (ML) model to assess and rank polymer injection patterns for injection optimization strategies. More specifically, interwell connectivity between injection and production...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216206-MS
... segmentation discriminator extraction dataset ocr upstream oil & gas india government machine learning header information segmentation module outlier detection generator Introduction The oil and gas industry plays a vital role in meeting the world's energy demands. To ensure sustainable...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216238-MS
... robustness baseline united arab emirate scenario abu dhabi machine learning reservoir simulator objective constraint top-k robustness ml proxy prediction pipeline deep learning-driven optimization Introduction Optimizing reservoir development plans is crucial for maximizing profitability...
Proceedings Papers

Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216231-MS
... intelligence machine learning de groot 2006 society ant-tracking structural geology ant tracking output prediction fracture detection africa government rock type tunisia government figure chaos uvq curvature tehran interpretation Introduction Faults and fractures are among the most...

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