| 人工智能技术在试井解释中的应用及进展 |
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| 引用本文： | 雷霆,李治平. 人工智能技术在试井解释中的应用及进展[J]. 天然气地球科学, 2005, 16(3): 374-377. DOI: 10.11764/j.issn.1672-1926.2005.03.374 |
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| 作者姓名： | 雷霆 李治平 |
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| 作者单位： | 中国地质大学; |
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| 摘 要： | 自从计算机技术被引入到试井解释工作中,试井解释一直是自动化处理和手工处理相结合的一项工作。人工智能技术能够提高试井解释工作的效率和准确度。目前在试井解释中广泛使用的人工智能技术属人工神经网络和遗传算法技术。讨论了这些技术在试井解释中的应用及进展。
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| 关 键 词： | 试井解释 人工智能 人工神经网络 遗传算法 |
| 文章编号： | 1672-1926(2005)03-0374-04 |
THE ADVANCE OF APPLYING ARTIFICIAL INTELLIGENCE IN WELL TEST ANALYSIS |
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| LEI Ting,LI Zhi-ping. THE ADVANCE OF APPLYING ARTIFICIAL INTELLIGENCE IN WELL TEST ANALYSIS[J]. Natural Gas Geoscience, 2005, 16(3): 374-377. DOI: 10.11764/j.issn.1672-1926.2005.03.374 |
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| Authors: | LEI Ting LI Zhi-ping |
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| Affiliation: | China University of Geosciences, Beijing 100083,China |
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| Abstract: | Since computers had been used in well test analysis, the process of analysis is a combination of automated and artificial. Using astificial intelligence technologies can improve the efficiency and accuracy of such process. Among all kinds of artificial intelligence technologies, artificial neural network(ANN) and genetic algorithm(GA) has been widely used in well test analysis. This paper reviewed the advances of these technologies. |
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| Keywords: | Well test analysis Artificial intelligence Artificial neural network Genetic algorithm. |
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