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Keywords: prediction
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Journal Articles
Journal: SPE Journal
SPE J. 30 (02): 486–506.
Paper Number: SPE-223633-PA
Published: 12 February 2025
... quality algorithm input parameter prediction spe journal flow unit performance forecasting model well location reservoir geomechanics data mining geological subdiscipline imputation random forest algorithm spe annual technical conference reservoir characterization february 2025 application...
Journal Articles
Journal Articles
Journal Articles
Journal Articles
Journal Articles
Journal: SPE Journal
SPE J. (2025)
Paper Number: SPE-223976-PA
Published: 31 January 2025
...-based model, named Geological Beddings and Fractures Detection Transformer (GeoBFDT) for the identification, localization, and estimation of geological structural feature parameters. GeoBFDT uses a bipartite matching loss to match the predicted geological feature types and their depth, dip, and azimuth...
Includes: Supplementary Content
Journal Articles
Journal: SPE Journal
SPE J. (2025)
Paper Number: SPE-224406-PA
Published: 22 January 2025
... efficiency. A backpropagation neural network (BPNN) model was constructed using the RAdam optimization algorithm to identify a more efficacious method for predicting the conductivity of proppant fractures. The model was used to predict the fracture conductivity of two data types pertaining...
Journal Articles
Journal: SPE Journal
SPE J. (2025)
Paper Number: SPE-224420-PA
Published: 22 January 2025
... equations, are computationally intensive, making them impractical for real-time production forecasting across hundreds or thousands of wells, especially in the absence of reliable downhole measurements. This study presents an efficient real-time prediction model for production parameters of intermittent gas...
Journal Articles
Journal: SPE Journal
SPE J. 30 (01): 391–408.
Paper Number: SPE-223949-PA
Published: 08 January 2025
... in the MATLAB reservoir simulation toolbox (MRST) and tested via multiple cases for both 2D and 3D fractured reservoirs under different boundary and well control scenarios. In certain challenging cases, the use of multiple training simulations is explored and is shown to provide improved predictions. Overall...
Journal Articles
Journal: SPE Journal
SPE J. 30 (01): 13–32.
Paper Number: SPE-223621-PA
Published: 08 January 2025
... ), medical diagnostics ( Liu et al. 2020 ), spam sender identification ( Tang et al. 2019 ), network anomaly detection ( Alkasassbeh 2018 ), and corporate bankruptcy prediction ( Wu et al. 2019 ). Compared with these domains, the imbalance problem in the petroleum industry (e.g., artificial lift selection...
Journal Articles
Journal Articles
Journal Articles
Journal Articles
Journal: SPE Journal
SPE J. 29 (12): 6623–6639.
Paper Number: SPE-223620-PA
Published: 11 December 2024
... mudstone ml algorithm energy economics algorithm paper prediction production data porosity drilling operation accuracy oil shale complex reservoir shale gas petroleum play type geochemistry reservoir geomechanics machine learning sweet-spot identification ml model application december...
Journal Articles
Journal: SPE Journal
SPE J. 29 (12): 6852–6868.
Paper Number: SPE-223604-PA
Published: 11 December 2024
.... Therefore, predicting the occurrence of kicks in advance is very important to avoid more serious accidents. This research introduces a prediction method for kicks using a combination of convolutional neural networks (CNNs) and gated recurrent units (GRUs), along with an attention mechanism, to assess...
Journal Articles
Journal: SPE Journal
SPE J. 29 (12): 6918–6933.
Paper Number: SPE-218881-PA
Published: 11 December 2024
... 92% accuracy in classifying ore than 50 geological features, demonstrably outperforming conventional methods. Furthermore, the developed model was applied to actual field cases to predict the stress field. The model was able to accurately predict the minimum horizontal stress ( S h min ) and S H max...
Journal Articles
Journal Articles
Journal Articles
Journal: SPE Journal
SPE J. 29 (11): 5820–5832.
Paper Number: SPE-223596-PA
Published: 13 November 2024
...Jiangxia Han; Liang Xue; Qianjun Liu; Yunsheng Wei; Haiyang Chen; Yubing Dong; Yuetian Liu; Yadong Qi; Junlei Wang Summary Traditional methods for forecasting production rate, such as Arps, analytical techniques, and recurrent neural network (RNN)–based deep learning, are mainly point prediction...
Journal Articles
Journal: SPE Journal
SPE J. 29 (10): 5258–5271.
Paper Number: SPE-221497-PA
Published: 09 October 2024
... speed (revolutions per minute, RPM), pump flow rate, pump pressure, weight on bit (WOB), torque, and rate of penetration (ROP), were logged in the meantime. Given the acoustic signal as input, we built 1D convolutional neural network (1D-CNN) models for drilling parameter prediction. The prediction...

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