Sep 20, 2024 · A targeted framework is presented to enhance the effectiveness of petrophysical properties prediction based on deep learning (DL) in this study.
A targeted framework is presented to enhance the effectiveness of petrophysical properties prediction based on deep learning based on deep learning in this ...
A Deep Learning Framework for Petrophysical Properties Prediction in Gas Reservoirs · Gui, Jinyong · Gao, Jianhu · Li, Shengjun · Liu, Bingyang · Chen, Qiyan ...
In this paper, we demonstrate how seismic properties of fluid-filled, fractured reservoirs can be modeled over the full frequency spectrum using a numerical ...
Apr 8, 2024 · This study introduces a novel approach to efficiently predict rock porosity and permeability for reservoir assessment by leveraging real-time ...
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4 days ago · The aim of this study is to present a petrophysical evaluation of the studied reservoir and to identify the reservoir layers by calculating and ...
Oct 22, 2024 · We developed a framework for unconventional reservoir prediction by expanding the data samples and optimizing model performance. First, the ...
Backgroud Accurately predicting reservoir parameters is significant for characterizing subsurface reservoirs, establishing gas accumulation patterns, ...
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What are the petrophysical properties of a reservoir?
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Dec 14, 2023 · A deep-learning framework for borehole formation properties prediction using heterogeneous well-logging data: A case study of a carbonate ...
Applying machine learning algorithms for seismic attribute analysis and prediction of petrophysical parameters. · Integrated application of well and seismic data ...