TY - JOUR ID - 135332 TI - A Short Review of the Work Done on Neural Networks in Oil Reservoir and Wells JO - Journal of Chemical Reviews JA - JCR LA - en SN - 2676-6868 AU - Sharifi, Shakiba AD - Department of Petroleum Engineering, Tehran University, Tehran, Iran Y1 - 2021 PY - 2021 VL - 3 IS - 4 SP - 273 EP - 289 KW - Neural Network KW - brain KW - oxygen KW - Dynamic systems KW - intelligent system DO - 10.22034/jcr.2021.296615.1124 N2 - This article reviews the work done on neural networks in recent years. In recent years we have witnessed a continuous movement, from purely theoretical research to applied research, especially in the field of information processing, for problems for which there is no solution or which is not easily solved. Artificial neural networks are part of a group of dynamic systems, which, by processing experimental data, transfer the knowledge or law behind the data to the network structure. This is why these systems are called intelligent, because they learn general rules based on calculations based on numerical data or examples. These systems attempt to model the neuro-synaptic structure of the human brain. From the brain as an information processing system with a parallel and completely complex structure that makes up two percent of the body weight and consumes more than twenty percent of the body's total oxygen for reading, breathing, movement, thinking and exploring and the kidneys. Conscious actions and many unconscious behaviors are used. How the brain does these things has been around since they realized that the brain has a completely different structure for its computations than conventional computers? UR - https://www.jchemrev.com/article_135332.html L1 - https://www.jchemrev.com/article_135332_71c9c814f1ebacc82065859c557656ff.pdf ER -