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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218863-MS
... artificial intelligence pinn model oil production deep learning machine learning enhanced recovery production rate proxy model physical model oil recovery voronoi-diagram model water injection rate numerical simulator optimization result cumulative oil production data-driven model brugge...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218836-MS
... on logarithmic scales. Recent strides in the field concentrate on the integration of automation and machine learning to expedite PTA processes. Our methodology enhances the Pressure Transient Analysis (PTA) process by leveraging a framework based on triplet loss. This architecture seamlessly integrates...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218837-MS
... fluid management & disposal algorithm data quality loss detection monitoring hybrid approach physics-constrained approach robustness drilling operation well control detection group parameter drilling data loss event drilling fluids and materials machine learning reliability advanced...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218833-MS
... simulation clastic rock neural network fluid dynamics deep learning artificial intelligence geological subdiscipline estimation zhang modeling prediction reservoir geomechanics permeability electrical property segmentation resistivity representation flow in porous media machine learning...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218834-MS
...-driven method for creating procedures to monitor and maintain tool component health and increase fleet reliability. The proposed end-to-end methodology provides a novel workflow to detect and diagnose electrical component faults using machine learning. This approach also lends itself to extensibility...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218838-MS
... is not economically feasible, and the equations used for total skin damage may not be accurate. In this work, the goal is to build machine learning (ML) models that can predict the total skin factor in perforated wells using accessible field data. Nine distinct ML algorithms such as Gradient Boosting (GB), Adaptive...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218851-MS
... algorithm sustainable development carbon dioxide simulation carbon dioxide removal rate reboiler duty social responsibility machine learning reinforcement learning optimization climate change rl algorithm energy consumption flue ga carbon capture process simulation case simulator amine flow...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218839-MS
... and remote sensing. geologist artificial intelligence internet of things canopy air emission sensor california detection limit methane concentration machine learning methane emission experiment system design concentration signal geology climate change real time system methane leak...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218857-MS
... separators and multiphase flowmeters are not universally available. Consequently, this study introduces nine machine learning (ML) models employing real data sourced from 598 wells with a production history exceeding three years. The dataset, comprising 8,372 data points, undergoes a random split allocating...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218865-MS
... cementing job type identification is tested on 52 different jobs, with an accuracy of 92% and less than 30% of false negatives. The innovative framework automatically classifies jobs and technologies. The inherent methods combine domain knowledge with the power of machine learning to enable efficient...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218871-MS
... Abstract This study introduces a novel method to enhance predictive model performance for estimating continuous well production flow rates using daily operational conditions. The approach leverages machine learning algorithms, employing bagging as ensemble technique, to consolidate predictions...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218874-MS
... Abstract Smart water flooding is a promising eco-friendly method for enhancing oil recovery in carbonate reservoirs. The optimal salinity and ionic composition of the injected water play a critical role in the success of this method. This study advances the field by employing machine learning...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218903-MS
... analysis and accurate numerical simulation of carbonate reservoirs. geologist sedimentary rock carbonate rock rock type core analysis permeability carbonate reservoir complex reservoir enhanced recovery coefficient classification waterflooding artificial intelligence machine learning...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218879-MS
... to history match a reservoir simulation model and reduce uncertainty while tracking the spatial evolution of stored carbon dioxide. dataset modeling & simulation machine learning sedimentary rock geology artificial intelligence geological subdiscipline young land uplift clastic rock rock...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218870-MS
.... The results of the PHM models were visualized on interactive dashboards, statistically significant outliers are analyzed in real time, and used to alert the operations and maintenance teams in the field. machine learning maintenance artificial intelligence threshold cooling rate data mining...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218864-MS
... the constraints of a limited capital budget and accessible data sources. sedimentary rock fluid dynamics geology flow in porous media neural network artificial intelligence reservoir fuzzy logic geologist rock type dataset core data permeability map artificial neural network machine learning...

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