Geophysical Log Interpretation Using Neural Network
作者： S. Pezeshk , C. V. Camp , S. Karprapu
DOI: 10.1061/(ASCE)0887-3801(1996)10:2(136)
关键词:
摘要: Timely and effective interpretation of bore hole geophysical formation well logs is vital in developing basic geological hydrological data for ground water modeling. Information on local conditions may be estimated from many types logs; however, interpretations these can subjective time-consuming. A trained neural network used effectively efficiently to complement manual log interpretation. In this paper, a developed analyze provide information the subsurface strata classifications. An analysis given development process requirements. overview presented optimization techniques, limitations, strength approach well-log
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