作者: 廣大 時(shí)間: 2025-3-27 11:19
https://doi.org/10.1007/978-3-642-95507-5eight, with one-dimensional (1-D) horizontally layered homogeneous earth structures. A divide-and-conquer strategy is applied. One ANN is trained to interpret data, which are best described by homogeneous half-space (HHS) models. A second ANN inverts data from horizontally layered half-space models
作者: Bronchial-Tubes 時(shí)間: 2025-3-27 17:23
https://doi.org/10.1007/978-94-017-0271-3Fuzzy; Information; Map; Reservoir; artificial intelligence; classification; fuzzy logic; geophysics; intell
作者: Preamble 時(shí)間: 2025-3-27 20:04
Book 2003ogic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 194
作者: 倫理學(xué) 時(shí)間: 2025-3-27 23:59
作者: excursion 時(shí)間: 2025-3-28 05:32
https://doi.org/10.1007/978-3-662-25882-8d from well-log information and then applied to the areas between the boreholes. Input to the neural network is either the seismic trace itself, or a number of selected, representative attributes computed from the seismic trace. The method is demonstrated on synthetic data and is validated by comparing it to the linear Wiener-filter technique.
作者: Externalize 時(shí)間: 2025-3-28 06:58
https://doi.org/10.1007/978-3-322-84365-4logic methods in the generation of the mineral prospectivity map. The neural network has several important advantages over existing methods, including the ability to respond to critical combinations of parameters, rather than automatically increasing the prospectivity estimate in response to every favourable parameter.
作者: 未完成 時(shí)間: 2025-3-28 11:19
作者: 孵卵器 時(shí)間: 2025-3-28 18:00
作者: Deduct 時(shí)間: 2025-3-28 19:48
作者: Legend 時(shí)間: 2025-3-29 01:13
https://doi.org/10.1007/978-3-662-00179-0from samples and cuttings, and suites of geophysical well logs. Because the quality of the lithologic descriptions was erratic, our approach was to produce lithofacies interpretations based on gamma ray logs, used as input to a neural network classifier system.
作者: Crayon 時(shí)間: 2025-3-29 03:33
作者: abject 時(shí)間: 2025-3-29 11:06
Elektrische Me?ger?te und Me?einrichtungenhe multinomial distribution, since it can reflect the fact that there is only one first-arrival event on each data trace. Optimization of the neural network weights with an error function based on this probability distribution, produces a neural network that properly estimates the probability that the associated feature is a first-arrival event.
作者: 頭腦冷靜 時(shí)間: 2025-3-29 13:27
Elektrische Me?ger?te und Me?verfahrenhown to be a viable technique for use as a standard tool and for enhancing efficiency in 3-D seismic interpretation. 1.5-D and 2-D methods have also been demonstrated successfully, which account for the seismic character above, below, behind and ahead of the current tracking position.
作者: Cleave 時(shí)間: 2025-3-29 18:52
作者: Interdict 時(shí)間: 2025-3-29 19:44
https://doi.org/10.1007/978-3-7091-6557-7 estimated likewise, and then the forward-operator-based reconstruction can improve the initial parameter model. The scheme has been applied in a complex continental deposit in western China and significantly improves the spatial description of reservoirs.
作者: 山崩 時(shí)間: 2025-3-30 03:32
作者: GEON 時(shí)間: 2025-3-30 04:53
作者: 挫敗 時(shí)間: 2025-3-30 10:14
Automated Picking of Seismic First-Arrivals with Neural Networkshe multinomial distribution, since it can reflect the fact that there is only one first-arrival event on each data trace. Optimization of the neural network weights with an error function based on this probability distribution, produces a neural network that properly estimates the probability that the associated feature is a first-arrival event.
作者: 邊緣帶來(lái)墨水 時(shí)間: 2025-3-30 14:38
Automated 3-D Horizon Tracking and Seismic Classification Using Artificial Neural Networkshown to be a viable technique for use as a standard tool and for enhancing efficiency in 3-D seismic interpretation. 1.5-D and 2-D methods have also been demonstrated successfully, which account for the seismic character above, below, behind and ahead of the current tracking position.
作者: CRUE 時(shí)間: 2025-3-30 18:00
Reservoir Property Estimation Using the Seismic Waveform and Feedforword Neural NetworksThe resulting prediction map was used to select new well locations and design horizontal well trajectories. Four wells were drilled based on the prediction, and all were successful. This increased oil field production by about 20%.
作者: AMPLE 時(shí)間: 2025-3-30 20:50
An Information Integrated Approach for Reservoir Characterization estimated likewise, and then the forward-operator-based reconstruction can improve the initial parameter model. The scheme has been applied in a complex continental deposit in western China and significantly improves the spatial description of reservoirs.
作者: BADGE 時(shí)間: 2025-3-31 03:30
作者: deforestation 時(shí)間: 2025-3-31 08:04
作者: 抵押貸款 時(shí)間: 2025-3-31 12:58
https://doi.org/10.1007/978-3-322-99133-1. The network was trained using both 5 and 10 numerically modeled records of the vertical component. After convergence, the network was tested using a randomly generated three-layer transverse isotropic model. The inversion results are very encouraging.
作者: 紅潤(rùn) 時(shí)間: 2025-3-31 17:16
,Messung von Wirk- und Scheinwiderst?nden,the Mississippi Canyon. The properties of high amplitude, low frequency, and polarity reversal are observed from projections on the principal eigenvectors. The GHA network also provides significant seismic data compression.
作者: GLOSS 時(shí)間: 2025-3-31 20:06
https://doi.org/10.1007/978-3-322-85550-3quality measure of the classification results, and provides valuable information concerning the reliability of the model. The classification approach has been used successfully for determining Upper Carboniferous lithologies from open hole logs in a multi-well study.
作者: 為寵愛(ài) 時(shí)間: 2025-3-31 23:12
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