During the exploration and development of deep coalbed methane (CBM), delineating the thickness of coal seam and lithofacies of the roof and floor is one of the major challenging tasks. In past ...

Abstract: Lithofacies identification is crucial for characterizing subsurface reservoirs in the development and exploration of oil and gas resources. A common approach is to develop a lithofacies ...

Abstract: We present a technique for lithofacies classification of well-log data using an active semi-supervised algorithm. This method considers both the input of domain experts and the distribution ...

In this project I tries to train CNN (convolutional neural network), RNN (Recurrent neural networks) to predict the litho facies from the available lithofacies data. There is a notebook which contains ...

The provided datasets (train.csv, test.csv) contain well logs and interpreted lithofacies. This competition is well suited for people with some background in geosciences. I don't have any background ...

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This journal utilises an Online Peer Review Service (OPRS) for submissions. By clicking "Continue" you will be taken to our partner site https://mc.manuscriptcentral ...

Iterative geostatistical seismic inversion is a vital technique for estimating subsurface properties. However, a conventional single-scale strategy faces challenges in preserving large-scale ...

The principal investigators (PIs), as well as the colleges and universities employing them, and the American Chemical Society express to the Donors of the Petroleum Research Fund their appreciation of ...