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1-20 of 119
Keywords: deep learning
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Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
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:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2025)
Paper Number: SPE-220850-PA
Published: 14 February 2025
... by ground displacement and the induced microseismicity. We used the Fourier neural operator (FNO)-based deep learning model to construct surrogate models, replacing the time-consuming coupled flow and geomechanics simulations for evaluating the aforementioned objective functions. The developed surrogate...
Includes: Supplementary Content
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 30 (02): 524–543.
Paper Number: SPE-223962-PA
Published: 12 February 2025
... wellbore design geologist artificial intelligence bit selection reservoir geomechanics pore pressure well logging log analysis reservoir characterization window length deep learning wellbore integrity drilling data acquisition machine learning pore pressure prediction configuration...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2025)
Paper Number: SPE-220110-PA
Published: 07 February 2025
... method, and the other is the long short-term memory (LSTM) network, a deep learning method. The LS-SVR and LSTM proxy models are built on training sets of BHP and rate data generated with a commercial high-fidelity reservoir simulator (HFRS) based on compositional flow simulation using a double...
Includes: Supplementary Content
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
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:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2025)
Paper Number: SPE-223976-PA
Published: 31 January 2025
... and localization tasks. Notably, the proposed approach surpasses the objectives of existing deep learning (DL)-based methods by accommodating multiple features in a single image, identifying beddings and fractures in complex geological areas, eliminating mask dependency, and providing an end-to-end strategy...
Includes: Supplementary Content
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2025)
Paper Number: SPE-224420-PA
Published: 22 January 2025
... wells using deep learning techniques. The model generates production forecasts based on high-frequency measurements, including casing and tubing pressures, valve status, and instantaneous gas rates. To enhance the model’s performance, a novel cycle parameter extraction procedure is introduced during...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2025)
Paper Number: SPE-218444-PA
Published: 17 January 2025
... by the Society of Petroleum Engineers. This paper is published under the terms of a Creative Commons Attribution License (CC-BY 4.0). deep learning artificial intelligence geology reservoir navigation geosteering robot geologist drilling operation machine learning reservoir contact decision...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2025)
Paper Number: SPE-223940-PA
Published: 06 January 2025
... planning and decision-making. To address these challenges, this paper proposes a novel hybrid encoder-decoder deep learning framework, named MA-CLSTM-ED, which combines convolutional neural network (CNN), long short-term memory (LSTM) network, and multihead attention mechanism to reveal intricate patterns...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (12): 6583–6604.
Paper Number: SPE-223594-PA
Published: 11 December 2024
... 11 12 2024 Copyright © 2024 Society of Petroleum Engineers geology sedimentary rock mudrock modeling & simulation production monitoring geologist deep learning hydraulic fracturing reservoir surveillance mudstone clastic rock complex reservoir shale oil prediction oil...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (12): 6605–6622.
Paper Number: SPE-223614-PA
Published: 11 December 2024
... sedimentary rock deep learning bit design geomechanics bit performance coefficient pdc bit rock type bit wear geological subdiscipline algorithm mechanical drilling speed mudrock bit selection machine learning prediction application geology information fusion artificial intelligence...
Includes: Supplementary Content
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (12): 6869–6882.
Paper Number: SPE-223612-PA
Published: 11 December 2024
... 9 2024 16 9 2024 29 10 2024 11 12 2024 Copyright © 2024 Society of Petroleum Engineers chatbot artificial intelligence deep learning information large language model text-to-sql task multiagent system multiagent setup query machine learning architecture arxiv...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (12): 6918–6933.
Paper Number: SPE-218881-PA
Published: 11 December 2024
... these complex logs is time-consuming, subjective, and requires expert-level knowledge. This study addresses this challenge by proposing a novel approach that integrates computer vision (CV) and deep learning (DL) for automated and real-time interpretation of FMI logs. Our methodology leverages CV and DL...
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