Pore Space Reconstruction of Shale Using Improved Variational Autoencoders

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Recent work on generative text modeling has found that variational autoencoders (VAE) with LSTM decoders perform worse than simpler LSTM language models (Bowman et al., 2015). This negative result is so far poorly understood, but has been attributed to the propensity of LSTM decoders to ignore conditioning information from the encoder. In this paper, we experiment with a new type of decoder for...

متن کامل

Image Tranformation Using Variational Autoencoders

The way data are stored in a computer is definitively not the most intelligible approach that one can think about even though it makes computation and communication very convenient. This issue is essentially equivalent to dimensionality reduction problem under the assumption that the data can be embedded into a low-dimensional smooth manifold (Olah [2014]). We have seen couple of examples in th...

متن کامل

Pore space reconstruction using multiple-point statistics

The reconstruction of porous media is of great interest in a wide variety of fields, including earth science and engineering, biology, and medicine. To predict multiphase flow through geologically realistic porous media it is necessary to have a threedimensional (3D) representation of the pore space. Multiple-point statistics were used, based on two-dimensional (2D) thinsections as training ima...

متن کامل

Automatic Chemical Design using Variational Autoencoders

We train a variational autoencoder to convert discrete representations of molecules to and from a multidimensional continuous representation. This continuous representation allow us to automatically generate novel chemical structures by performing simple operations in the latent space, such as decoding random vectors, perturbing known chemical structures, or interpolating between molecules. Con...

متن کامل

Blind Channel Equalization using Variational Autoencoders

A new maximum likelihood estimation approach for blind channel equalization, using variational autoencoders (VAEs), is introduced. Significant and consistent improvements in the error rate of the reconstructed symbols, compared to constant modulus equalizers, are demonstrated. In fact, for the channels that were examined, the performance of the new VAE blind channel equalizer was close to the p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Geofluids

سال: 2021

ISSN: 1468-8123,1468-8115

DOI: 10.1155/2021/5545411