Generation of Asphaltene Deposition Envelope Using Artificial Neural Network |
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| Authors: | Vahid Chalangaran Hamed Firoozinia Riyaz Kharrat Navid Chalangaran |
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| Institution: | 1. Department of Petroleum Engineering, Science and Research Branch , Islamic Azad University , Tehran , Iran;2. Petroleum Engineering Division , Research Institute of Petroleum Industry (RIPI) , Tehran , Iran;3. NIOC Exploration Directorate , Tehran Research Institute of Petroleum , Tehran , Iran;4. Department of Civil Engineering, Science and Research Branch , Islamic Azad University , Fars , Iran |
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| Abstract: | The usefulness of the asphaltene deposition envelope (ADE) is that no asphaltene flocculation occurs at conditions outside the envelope. Since artificial neural network (ANN) is best at identifying patterns or trends in data, it is well suited for prediction or forecasting needs. ANN is also capable of addressing case specific problems that may be encountered in the field such as deposition of asphaltene. In this article, the high pressure, high temperature setup used to perform pressure depletion experiments at three different temperatures on one the Iranian live oils and the ADE generated using ANN. |
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| Keywords: | Asphaltene deposition envelop neural network |
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