The Study on Oil-water Recognition Technology Based on Computational Intelligence
Ming Yu · Journal of Hebei University of Technology · 2007
Computational Intelligence (CI), including Fuzzy, Neural Networks (NN), and Evolutionary Computation (EC), is to simulate some human intelligent behavior by using computer. In the seismic prospecting, there is still big error in oil-water recognition at present. So an intelligent recognition method is presented based on computational intelligence, including the following steps: first, seismic wave feature extraction; second, preprocessing; third, neural network training; forth, the oil-water recognition or forecast. Six features based on time and amplitude are extracted. Both BP and LM neural network are built to give an exact result and have a compare. The LM algorithm is super to that of BP. Actual ap-plication examples in an oil field show that the oil-water recognition method proposed based on the computational intelli-gence is practical. It can reach the ideal precision request of the recognition system. Meanwhile, it helps to save cost and improve efficiency. The method is significantly valuable in the oil-water recognition field.