Abstract: A method is described for reservoir structure characterization including obtaining well logs and seismic data; performing facies classification and stratigraphic sequencing on the well logs to identify a plurality of layers; estimating wavelets from the seismic data and using the wavelets to tie synthetic seismograms from well logs to the seismic data; determining a mean value for each elastic property in each layer of the well logs and assigning the mean value to each layer to generate blocky well logs; using the wavelets to attempt to tie synthetic seismograms from the blocky well logs to the seismic data; defining facies-dependent properties based on the blocky well logs; performing global optimization using the facies-dependent properties and the seismic data to find thicknesses of the layers across the volume of interest; and mapping the reservoir structure based on the global optimization to generate a graphical representation of the reservoir structure.

Abstract: The disclosure relates to a birdstrike avoidance optical flexible film, a preparation method and application thereof. Specifically, a birdstrike avoidance optical flexible film is disclosed in this application. The film has excellent selective transmission and reflection properties for visible light and ultraviolet light, and can realize effects of being transparent to human and being visible to birds. When the film is applied to buildings and/or vehicles. The optical film can be applied to buildings and/or vehicles to achieve effects of no influence on human aesthetic, birdstrike avoidance, and popularization in a large area, with profound significance for harmony between humans and birds.

Abstract: A method is described for seismic inversion with uncertainty quantification including performing low frequency Markov Chain Monte Carlo (MCMC) processes on rock physics models to generate low frequency models (LFMs) of rock properties and training a deep neural network using the low frequency models and synthetic seismograms to generate a trained neural network. Given a seismic dataset, the trained neural network can generate a high frequency rock property model and then broad-band MCMC processes can be performed on the high frequency rock property model for uncertainty quantification. The method is executed by a computer system.

Abstract: A neural network is utilized to improve the resolution of subsurface inversion. The neural network leverages posterior distribution of samples and adds high frequency components to the inversion by utilizing the data in both the time domain and the frequency domain. The improved resolution of the subsurface inversion enables more accurate prediction of subsurface characteristics (e.g., reservoir architecture).

Abstract: A neural network is utilized to improve the resolution of subsurface inversion. The neural network leverages posterior distribution of samples and adds high frequency components to the inversion by utilizing the data in both the time domain and the frequency domain. The improved resolution of the subsurface inversion enables more accurate prediction of subsurface characteristics (e.g., reservoir architecture).

Abstract: A method for predicting the quality and shelf life of fruits or vegetables includes: recording ambient temperatures of the fruits or vegetables continuously using a temperature recorder from the beginning of plucking the fruits or vegetables and throughout entire supply chain including harvesting, grading, storage, transport and shelf period, determining an effective accumulated temperature value of the fruits during the entire supply chain, and predicting marketable fruit rate and nutritional quality of the fruits based on the effective accumulated temperature value. The marketable fruit rate, firmness and vitamin C content negatively correlate with the accumulated temperature value, and thus it is possible to predict the marketable fruit rate and storage quality of fruits based on the effective accumulated temperature values of the fruits or vegetables during the post-harvest storage and shelf period.