caa a22 4500 475809769 CHVBK 20180406123755.0 cr unu---uuuuu 170329e20001101xx s 000 0 eng 10.1023/A:1010920424728 doi (NATIONALLICENCE)springer-10.1023/A:1010920424728 Sadykhov R. aut Identification of Geological and Geophysical Parameters for Mathematical Models [Elektronische Daten] [R. Sadykhov] A neuro-fuzzy network technology (soft computing) for identification of the geological and geophysical parameters for mathematical models of natural reservoirs in the exploitation of oil and gas deposits is proposed and verified. The effectiveness of the technology is demonstrated, especially in the early stage of prospecting, when information is uncertain and limited. With sufficient information, it is proposed that a recursion algorithm be used to identify the coefficients from measurements of the input and output coordinates of this generalized model in the presence of measurement noise. Plenum Publishing Corporation, 2000 Measurement Techniques Kluwer Academic Publishers-Plenum Publishers 43/11(2000-11-01), 923-929 0543-1972 43:11<923 2000 43 11018 https://doi.org/10.1023/A:1010920424728 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1010920424728 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Sadykhov R. aut NATIONALLICENCE 773 0- Measurement Techniques Kluwer Academic Publishers-Plenum Publishers 43/11(2000-11-01), 923-929 0543-1972 43:11<923 2000 43 11018 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer