المؤلفون: Jie Zhan, Xifeng Ding, Hai Liu, Kongjie Wang, Zhipeng Wang, Wenting Guo, Ren-Shi Nie, Xianlin Ma, Zhenzihao Zhang

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)

مصطلحات موضوعية: Numerical simulation, The DG model, Multi-stage history matching, Dynamic evolution, Shale oil, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/7ada4c8327594a9c8a88ff0123d1982e

المؤلفون: Xianlin Ma, Rong Zhong, Jie Zhan, Desheng Zhou

المصدر: Heliyon, Vol 10, Iss 18, Pp e38103- (2024)

مصطلحات موضوعية: Multiphase flow, Fourier neural operator, Deep learning, Multi-fidelity, Super-resolution, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024141345; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/5aa8e10f734a4d17bf532e3813140035

المؤلفون: Xianlin Ma, Long Zhang, Jie Zhan, Shilong Chang

المصدر: Mathematics, Vol 12, Iss 24, p 3896 (2024)

مصطلحات موضوعية: attention mechanism, production prediction, tight gas, time convolutional networks, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2227-7390/12/24/3896; https://doaj.org/toc/2227-7390

URL الوصول: https://doaj.org/article/4c47c472fbfc4ffab2994fbfae06145f

المؤلفون: Xianlin Ma, Chengde Li, Jie Zhan, Yupeng Zhuang

المصدر: Mathematics, Vol 12, Iss 23, p 3833 (2024)

مصطلحات موضوعية: PINNs, Buckley–Leverett equation, generative adversarial networks, waterflooding, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2227-7390/12/23/3833; https://doaj.org/toc/2227-7390

URL الوصول: https://doaj.org/article/3f42e8f50bd14abab768db3c069185de

المؤلفون: Zhenzihao Zhang, Turgay Ertekin, Xianlin Ma, Jie Zhan

المصدر: Energy Exploration & Exploitation, Vol 42 (2024)

مصطلحات موضوعية: Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Renewable energy sources, TJ807-830

وصف الملف: electronic resource

Relation: https://doaj.org/toc/0144-5987; https://doaj.org/toc/2048-4054

URL الوصول: https://doaj.org/article/2b8de99abd91481a8356aafb4f0563e5

المؤلفون: Haiyang Wang, Desheng Zhou, Shun Liu, Xiaoxiang Wang, Xianlin Ma, Tuanqi Yao

المصدر: Energy Reports, Vol 8, Iss , Pp 10290-10298 (2022)

مصطلحات موضوعية: Hydraulic fracturing, Perforated vertical wellbore, Perforated horizontal wellbore, Formation breakdown pressure, Seepage effect, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484722014548; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/565aaf32aa3e4e5fa98aa47ce4bc2a52

المؤلفون: Xianlin Ma, Mengyao Hou, Jie Zhan, Rong Zhong

المصدر: Applied Sciences, Vol 13, Iss 17, p 9827 (2023)

مصطلحات موضوعية: GRU, hybrid neural network, LSTM, shale gas, well production, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/17/9827; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/af1a5348b26140b4a96cdc91887adc54

المؤلفون: Yi Zou, Desheng Zhou, Xianlin Ma, Yenan Jie, Xiaoxiang Wang, Hongxia Liu

المصدر: Energies, Vol 16, Iss 13, p 4987 (2023)

مصطلحات موضوعية: horizontal well, fracture parameters, mathematical function-shaped fracture distribution, parabolic function, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/16/13/4987; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/05cfe09d6f394229a219b963f31a0d9d

المؤلفون: Xianlin Ma, Mengyao Hou, Jie Zhan, Zhenzhi Liu

المصدر: Energies, Vol 16, Iss 9, p 3653 (2023)

مصطلحات موضوعية: well productivity, machine learning, interpretability, SHAP, LIME, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/16/9/3653; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/2092586974104e54b9acb700c82468f9

المؤلفون: Weirong Li, Zhenzhen Dong, John W. Lee, Xianlin Ma, Shihao Qian

المصدر: Geofluids, Vol 2022 (2022)

مصطلحات موضوعية: Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1468-8123

URL الوصول: https://doaj.org/article/e55fb81ec45448e48328045050dbc61e

المؤلفون: Xiaoping Xu, Xianlin Ma, Jie Zhan

المصدر: Geofluids, Vol 2022 (2022)

مصطلحات موضوعية: Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1468-8123

URL الوصول: https://doaj.org/article/1011ba89c8b04cd39051d014e7ba7a7b

المؤلفون: Jie Zhan, Yafei Tian, Chao Fan, Xianlin Ma, Ren-Shi Nie, Dongqi Ji, Teng Li, Hongyan Yu

المصدر: Geofluids, Vol 2022 (2022)

مصطلحات موضوعية: Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1468-8123

URL الوصول: https://doaj.org/article/9f3d554e65f44aa7a4b9355e385138fd

المؤلفون: Desheng Zhou, Haiyang Wang, ZeXuan He, Yafei Liu, Shun Liu, Xianlin Ma, Wenbin Cai, Jinqing Bao

المصدر: Engineering Applications of Computational Fluid Mechanics, Vol 14, Iss 1, Pp 1489-1500 (2020)

مصطلحات موضوعية: stress field, seepage force, poroelastic stress, pore pressure gradient, vertical wellbore, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1994-2060; https://doaj.org/toc/1997-003X

URL الوصول: https://doaj.org/article/c2653282d14b4fff89f416bda9a1db98

المؤلفون: Jie Zhan, Chao Fan, Xianlin Ma, Zigang Zheng, Zezhong Su, Zhihao Niu

المصدر: Geofluids, Vol 2021 (2021)

مصطلحات موضوعية: Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1468-8115; https://doaj.org/toc/1468-8123

URL الوصول: https://doaj.org/article/1d210c58c08843c5a0d1c825f9e777a3

المؤلفون: Jie Zhan, Zhihao Niu, Mengmeng Li, Ying Zhang, Xianlin Ma, Chao Fan, Ruifei Wang

المصدر: Geofluids, Vol 2021 (2021)

مصطلحات موضوعية: Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1468-8115; https://doaj.org/toc/1468-8123

URL الوصول: https://doaj.org/article/6b6bf0a07d1c4db1a3237666eeeaf7b7

المؤلفون: Desheng Zhou, Haiyang Wang, Yafei Liu, Shun Liu, Xianlin Ma, Wenbin Cai, Hai Huang

المصدر: Geofluids, Vol 2021 (2021)

مصطلحات موضوعية: Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1468-8115; https://doaj.org/toc/1468-8123

URL الوصول: https://doaj.org/article/7d179bf0eb724408ad0a42c1b5c5f4fb

المؤلفون: Xianlin Ma, Yanan Wang, Jie Zhan, Dan Wang, Zhenzhi Liu

المصدر: Petroleum Science and Technology. :1-18

مصطلحات موضوعية: Fuel Technology, General Chemical Engineering, Energy Engineering and Power Technology, General Chemistry, Geotechnical Engineering and Engineering Geology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3bb50136c3001664811c65ad7bccb2aa
https://doi.org/10.1080/10916466.2023.2179637

المؤلفون: Ikpeka, Princewill Maduabuchi, Amaechi, Ugwumba Chrisangelo, Xianlin, Ma, Ugwu, Johnson Obunwa

المصدر: Rudarsko-geološko-naftni zbornik; Vol. 34 No. 3 (2019): No. 46 ; 1849-0409 ; 0353-4529

مصطلحات موضوعية: predictive analytics, machine learning, artificial neural network, initial gas production rate, look-back analysis

وصف الملف: application/pdf

Relation: https://hrcak.srce.hr/ojs/index.php/rgn/article/view/8117/5173; https://hrcak.srce.hr/ojs/index.php/rgn/article/view/8117

الاتاحة: https://hrcak.srce.hr/ojs/index.php/rgn/article/view/8117

المؤلفون: Amaechi, Ugwumba Chrisangelo, Ikpeka, Princewill, Ugwu, Johnson, Xianlin, Ma

المصدر: Amaechi , U C , Ikpeka , P , Ugwu , J & Xianlin , M 2019 , ' Application of machine learning models in predicting initial gas production rate from tight gas reservoirs ' , The Mining Geology Petroleum Engineering Bulletin , vol. 34 , no. 3 , pp. 29-40 . https://doi.org/10.17794/rgn.2019.3.4

وصف الملف: application/vnd.openxmlformats-officedocument.wordprocessingml.document

Relation: https://research.tees.ac.uk/en/publications/cb3707d3-6ef3-46c4-873f-2cc8ceb2e28c

الاتاحة: https://research.tees.ac.uk/en/publications/cb3707d3-6ef3-46c4-873f-2cc8ceb2e28c
https://doi.org/10.17794/rgn.2019.3.4
https://research.tees.ac.uk/ws/files/7251515/Application_of_machine_learning_models_in_predicting_initial_gas_production_rate_from_tight_gas_reservoir.docx
https://search.proquest.com/openview/91aaa967ccc2856b5755d93ae39e5825/1?cbl=55169&pq-origsite=gscholar

المؤلفون: Xiaona Li, Chao Fan, Zezhong Su, Xianlin Ma, Jie Zhan

المصدر: Arabian Journal for Science and Engineering. 47:11453-11467

مصطلحات موضوعية: Tectonics, Multidisciplinary, Measurement theory, Petroleum engineering, Geological sequestration, Environmental science, Structural basin

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8b2749e4be2d7851ac94726fcf8bfd75
https://doi.org/10.1007/s13369-021-06179-1