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Keywords: deep learning
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Journal Articles
Journal: SPE Journal
SPE J. (2025)
Paper Number: SPE-224431-PA
Published: 18 February 2025
... characteristic feature extraction category deep learning sedimentary geology reservoir characterization diagenetic facies recognition compaction facies attention mechanism encoder experimental result data distribution madeline diagenetic facies recognition Diagenetic phases...
Journal Articles
Journal Articles
Journal: SPE Journal
SPE J. 30 (02): 486–506.
Paper Number: SPE-223633-PA
Published: 12 February 2025
... Copyright © 2025 Society of Petroleum Engineers sedimentary rock deep learning shale gas well logging geomechanics clastic rock complex reservoir artificial intelligence log analysis machine learning geologist neural network sandstone structural geology rock type forecasting model data...
Journal Articles
Journal: SPE Journal
SPE J. 30 (02): 471–485.
Paper Number: SPE-223948-PA
Published: 12 February 2025
... the broad applicability of our method to other regression tasks. geologist artificial intelligence geology local model deep learning prediction casing and cementing machine learning prediction result base learner data distribution tolerance threshold variation concept drift data stream...
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Journal Articles
Journal Articles
Journal: SPE Journal
SPE J. (2025)
Paper Number: SPE-224437-PA
Published: 07 February 2025
... intelligence permeability distribution geological style latent vector geologist deep learning optimization problem reservoir characterization correlation coefficient initial ensemble channel realization production rate oil production rate injection well In the petroleum industry...
Journal Articles
Journal Articles
Journal Articles
Journal Articles
Journal: SPE Journal
SPE J. 30 (01): 1–12.
Paper Number: SPE-214831-PA
Published: 08 January 2025
... extracted the permeability from SPE10 Model 2, a commonly used public resource ( SPE 10 Benchmark, Model 2 2008 ). Producing and observing wells in the model are at different locations and provide pressure and production rate data as inputs for the deep learning models, in the form of multivariant time...
Journal Articles
Journal: SPE Journal
SPE J. 30 (01): 33–49.
Paper Number: SPE-223950-PA
Published: 08 January 2025
... or nonlinear activation functions. The model’s internal weights are adjusted based on the values of the loss function through methods such as gradient descent ( Shao et al. 2022 ). With the rapid advancements in artificial intelligence and deep learning, DNNs have garnered extensive focus and application...
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Journal Articles
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Journal Articles
Journal: SPE Journal
SPE J. 29 (12): 6640–6654.
Paper Number: SPE-223622-PA
Published: 11 December 2024
... predictions. Recent research has witnessed significant achievement of data-driven models in ROP prediction ( Barbosa et al. 2019 ; Najjarpour et al. 2022 ). The models developed for ROP prediction span a broad spectrum, from traditional machine learning approaches to advanced deep learning techniques...
Journal Articles
Journal: SPE Journal
SPE J. 29 (12): 6623–6639.
Paper Number: SPE-223620-PA
Published: 11 December 2024
... 5 2024 30 9 2024 6 9 2024 29 10 2024 11 12 2024 Copyright © 2024 Society of Petroleum Engineers unconventional resource economics geologist structural geology fluid dynamics unconventional play sedimentary rock clastic rock deep learning neural network...
Journal Articles
Journal: SPE Journal
SPE J. 29 (12): 6852–6868.
Paper Number: SPE-223604-PA
Published: 11 December 2024
... 12 9 2024 10 10 2024 11 12 2024 Copyright © 2024 Society of Petroleum Engineers geologist annular pressure drilling neural network attention mechanism artificial intelligence deep learning well control geology drilling operation natural language machine learning...
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Journal Articles

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