NERVENET HYDROCARBON DETECTING TECHNIQUE
Hao Li · Journal of Xi'an Engineering University · 1999
Using nervenetwork technique with the full utilization of petroleum informations taken by seismic waves,hydrocarbon can be detected First, four types of 26 characteristic parameters were extracted from seismic waves and discribed quantitively Then these parameters were analyzed by nervenetwork to recognize and predict petroleum distribution with raising resolutions This method was quantified and realised by computer with the corresponding software As an application, the reserving in Hu 19 zone of Dongpu depression was fine described by this software The predicted oilbearing area of sand groups from 3 to 10 in lower Sha 3 member was 0 7 km 2, and the predicted petroleum geological reserve was 70×10 4 tons [