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[HTML][HTML] Application of geophysical well logs in solving geologic issues: Past, present and future prospect
Geophysical well logs are widely used in geological fields, however, there are considerable
incompatibilities existing in solving geological issues using well log data. This review …
incompatibilities existing in solving geological issues using well log data. This review …
Reservoir characterization through comprehensive modeling of elastic logs prediction in heterogeneous rocks using unsupervised clustering and class-based …
Geophysical reservoir characterization is a significant task in the oil and gas industry and
elastic logs prediction of subsurface formations is a fundamental aspect of this process …
elastic logs prediction of subsurface formations is a fundamental aspect of this process …
Identifying applications of machine learning and data analytics based approaches for optimization of upstream petroleum operations
Over the past few years, machine learning and data analytics have gained tremendous
attention as emerging trends in the oil and gas industry. The usage of modern tools and high …
attention as emerging trends in the oil and gas industry. The usage of modern tools and high …
Robust extreme gradient boosting regression model for compressive strength prediction of blast furnace slag and fly ash concrete
In this study, a novel machine learning (ML) technique, eXtreme Gradient Boosting (XG
Boost), was employed to train an extremely precise ML model. The developed XG Boost …
Boost), was employed to train an extremely precise ML model. The developed XG Boost …
Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling
Carbonate petroleum reservoirs typically have lower permeabilities and recovery factors
than sandstone reservoirs, so the natural fractures they often incorporate have positive …
than sandstone reservoirs, so the natural fractures they often incorporate have positive …
[HTML][HTML] Predicting permeability from 3D rock images based on CNN with physical information
Permeability is one of the most important properties in subsurface flow problems, which
measures the ability of rocks to transmit fluid. Normally, permeability is determined through …
measures the ability of rocks to transmit fluid. Normally, permeability is determined through …
Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine
It is a problematic task to perform petro-physical property prediction of carbonate reservoir
rocks in most cases, specifically for permeability prediction since a carbonate rock most …
rocks in most cases, specifically for permeability prediction since a carbonate rock most …
Permeability and porosity prediction using logging data in a heterogeneous dolomite reservoir: An integrated approach
Z Zhang, H Zhang, J Li, Z Cai - Journal of Natural Gas Science and …, 2021 - Elsevier
The accurate prediction of permeability and porosity is an important foundation for high-
quality reservoir identification and geological modelling. However, the strong heterogeneity …
quality reservoir identification and geological modelling. However, the strong heterogeneity …
Optimizing acidizing design and effectiveness assessment with machine learning for predicting post-acidizing permeability
Formation damage poses a widespread challenge in the oil and gas industry, leading to
diminished permeability, flow rates, and overall well productivity. Acidizing is a commonly …
diminished permeability, flow rates, and overall well productivity. Acidizing is a commonly …
Prediction of the shale gas permeability: A data mining approach
One of the most important parameters affecting shale gas extraction is the gas permeability
of shale. Because there are many influencing factors and the mechanism of interaction is …
of shale. Because there are many influencing factors and the mechanism of interaction is …