CDS Evaluation Model with Neural Networks

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Journal of Service Science and Management

ISSN Print: 1940-9893
ISSN Online: 1940-9907
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"CDS Evaluation Model with Neural Networks"
written by Eliana Angelini, Alessandro Ludovici,
published by Journal of Service Science and Management, Vol.2 No.1, 2009

has been cited by the following article(s):

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[2]	Generation of Synthetic Sonic Slowness Logs From Real-Time Drilling Sensors Using Artificial Neural Network Journal of Energy Resources Technology, 2022 DOI:10.1115/1.4052412

[3]	Prediction of the Rheological Properties of Invert Emulsion Mud Using an Artificial Neural Network ACS Omega, 2021 DOI:10.1021/acsomega.1c04937

[4]	Prediction of the Rheological Properties of Invert Emulsion Mud Using an Artificial Neural Network ACS Omega, 2021 DOI:10.1021/acsomega.1c04937

[5]	Prediction of the Rate of Penetration while Drilling Horizontal Carbonate Reservoirs Using the Self-Adaptive Artificial Neural Networks Technique Sustainability, 2020 DOI:10.3390/su12041376

[6]	New Correlation for the Gas Deviation Factor for High-Temperature and High-Pressure Gas Reservoirs Using Neural Networks Energy & Fuels, 2019 DOI:10.1021/acs.energyfuels.9b00171

[7]	Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction Neural Computing and Applications, 2019 DOI:10.1007/s00521-019-04101-3

[8]	An Intelligent Data-Driven Framework to Develop New Correlation to Predict Gas Deviation Factor for High-Temperature and High-Pressure Gas Reservoirs Using Artificial Neural Network SPE Middle East Oil and Gas Show and Conference, 2019 DOI:10.2118/194715-MS

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