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Keywords: prediction
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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
... 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:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 30 (02): 471–485.
Paper Number: SPE-223948-PA
Published: 12 February 2025
...Yuan Zhong; Jianxin Yang; Ming Xian; Jing Zhou; Ping Li Summary In cementing operations, conventional methods for predicting wellhead pump pressure, which rely on empirical and numerical models, often fall short regarding real-time accuracy and adaptability to different geological blocks...
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
...Heng Yang; Yongcun Feng; Guanyi Shang; Ping Li Summary Accurate pore pressure prediction is vital for ensuring drilling safety and efficiency. Existing methods primarily rely on interpreting logging while drilling (LWD) data for real-time pore pressure prediction. However, LWD tools typically...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2025)
Paper Number: SPE-220110-PA
Published: 07 February 2025
...Yuhao Chen; Mustafa Onur; Nihal Kuzu; Onur Narin Summary We present a computationally efficient methodology based on the use of machine learning (ML) for predicting and history matching oil rate, water rate, and injection bottomhole pressure (BHP) data recorded during an in-situ polymer gel...
Includes: Supplementary Content
Journal Articles
Christopher N. Mkono, Shen Chuanbo, Alvin K. Mulashani, Elieneza N. Abelly, Erasto E. Kasala, Eric R. Shanghvi, Baraka L. Emmanuely, Thabiso Mokobodi
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2025)
Paper Number: SPE-224438-PA
Published: 04 February 2025
... subdiscipline rmse data handling machine learning porosity estimation group method hyperparameter evolutionary algorithm prediction method standard deviation neural network porosity gmdh-de model accuracy well log data Energy production from oil and natural gas plays a pivotal role...
Journal Articles
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (12): 6583–6604.
Paper Number: SPE-223594-PA
Published: 11 December 2024
...Jiafeng Zhang; Ye Liu; Fuqiang Zhang; Yan Li; Xun Yang; Kaisong Wang; Yuheng Ma; Nan Zhang As the energy industry increasingly turns to unconventional shale reservoirs to meet global demands, the development of advanced predictive models for shale oil production has become imperative. The inherent...
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
... on the wear prediction of the widely used polycrystalline diamond compact (PDC) bit in oil and gas drilling operations. In this study, we focused on exploring and validating the smooth wear failure mode of PDC bits in sandstone and mudstone formations. Based on this pattern, we modified the traditional wear...
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
...Han Meng; Botao Lin; Yan Jin Summary Rate of penetration (ROP) prediction plays a crucial role in optimizing drilling efficiency and reducing overall costs in the petroleum industry. Although modern artificial intelligence (AI) models have shown promising performance in this task, their lack...
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
... 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
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (11): 6484–6499.
Paper Number: SPE-223120-PA
Published: 13 November 2024
... million ft² per stage, and tuned their properties to match historical HnP data. The production predictions from the AHM solutions were extended beyond the initial four HnP cycles to provide probabilistic forecasts. We demonstrate that grid refinement has a minimal effect on production under primary...
Journal Articles
Grant Charles Mwakipunda, AL-Wesabi Ibrahim, Allou Koffi Franck Kouassi, Norga Alloyce Komba, Edwin Twum Ayimadu, Melckzedeck Michael Mgimba, Mbega Ramadhani Ngata, Long Yu
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (11): 6530–6546.
Paper Number: SPE-223123-PA
Published: 13 November 2024
...Grant Charles Mwakipunda; AL-Wesabi Ibrahim; Allou Koffi Franck Kouassi; Norga Alloyce Komba; Edwin Twum Ayimadu; Melckzedeck Michael Mgimba; Mbega Ramadhani Ngata; Long Yu Summary Accurate prediction of carbon dioxide (CO 2 ) solubility in brine is crucial for the success of carbon capture...
Journal Articles
Jiangxia Han, Liang Xue, Qianjun Liu, Yunsheng Wei, Haiyang Chen, Yubing Dong, Yuetian Liu, Yadong Qi, Junlei Wang
Journal:
SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
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
Publisher: Society of Petroleum Engineers (SPE)
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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