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Skip to Search Results- 3Artificial Neural Networks
- 1Abaqus
- 1Conventional Rock Mechanics
- 1Dents
- 1Ensemble Kalman Filter
- 1Finite Element Analysis
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Spring 2017
In reservoir simulation studies, history matching is extensively used for uncertainty reduction and reservoir management. History matching using Ensemble Kalman Filter (EnKF) is a promising approach due to its non-iterative nature and ability to assimilate a large number of model parameters....
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Integrity Assessment of Dents in Pipelines using Finite Element Analysis and Artificial Neural Networks
DownloadFall 2019
Dents are common occurrences along oil and gas pipelines and can be formed due to pipe contact with external forces such as rocks or construction equipment. There are many factors that contribute to the level of integrity concern of a dent including its shape, size, location on the pipe, and...
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Prediction of Horizontal In-situ Stress in Shale Gas Reservoirs Based on Artificial Neural Networks and Conventional Rock Mechanics ——A Case Study on Longmaxi Formation in Southern Sichuan (China)
DownloadFall 2022
Shale gas is one of the most important unconventional fossil fuel resources. It is usually developed by horizontal drilling and hydraulic fracturing techniques. The in-situ stress magnitude distribution in a given shale gas field is a significant factor that should be considered by horizontal...