... Evaluation analysis to sustain and increase the oil production. information fusion porosity upstream oil & gas united states government flow control equipment log analysis artificial intelligence classification uae government neu-den porosity permeability equation zone porosity...

... information classification carbonate pore size distribution Introduction Vugs Vug is the other factor leading to abnormal pore size distribution, which is detected by core and XRMI logging. Dissolution vugs are commonly unfilled or half-filled ( Figure 7 ). XRMI images show dissolved vugs...

... Testing well logging neural network machine learning Artificial Intelligence Fluid Dynamics classification Mesopotamian Basin prediction Mishrif Formation dataset Upstream Oil & Gas correlation Iraq image log Reservoir Characterization flow in porous media drillstem/well testing...

... Abstract There are a vast number of reservoirs with drill cuttings and core images that have classification problems associated with them. This could be due to the images not being classified in the first place, or the images may be available but the interpretation reports could be missing...

... Abstract This paper discusses the use of a novel data-driven method for automated facies classification and characterization of carbonate reservoirs. The approach makes an extensive use of wireline and while drilling electrical borehole image logs and provides a direct and fast recognition...

... Oil & Gas machine learning micro model resolution porosity pore random forest classification iroga algorithm Artificial Intelligence segmentation human expert mri image limestone lithology Image Recognition image processing image analysis carbonate rock Introduction...

... rocks but they can improve our understanding of fluid flow characteristics and predict permeability in un-cored wells. flow in porous media Fluid Dynamics Upstream Oil & Gas porosity porosity range Reservoir Characterization classification sample show Photomicrograph porosity...

... to identify Free Water Level (FWL) positions and interpret the migration history. The rock typing classification is well connected with the geological aspects of the reservoirs since it originates from the sedimentological description and the diagenetic processes. We identified a total of 21 rock types...

... & Gas neural network well logging classification classifier prediction information reservoir rock type facies porosity machine learning Artificial Intelligence geological facies log data SOM society of petroleum engineers petrophysical group permeability rock type reservoir rock...

... variations were well represented in the plug-scale core analysis measurements. flow in porous media porosity log porosity Reservoir Characterization classification variation plug Textural analysis poroperm trend Upstream Oil & Gas CT image pore type rock type different texture Fluid...

... to scale. However, the overriding criteria will always be that the sub-samples must represent all the modes (rock types) seen in the Classification. Ideally, the range of properties seen within each mode should also be covered. In Figure 3 , a sub-sample that covers each of the three differently coloured...

... on the SMLplot complex reservoir shale gas flow in porous media Reservoir Characterization classification flow capacity channel type architecture permeability Fluid Dynamics porosity storage capacity size range process speed Upstream Oil & Gas reservoir quality dominant channel type...

.... Artificial Intelligence classification prediction grain size distribution initial water saturation Reservoir Characterization Fluid Dynamics log data FZI capillary pressure permeability flow in porous media flow unit relative permeability rock type equation Upstream Oil & Gas reservoir...

... classification has been therefore performed integrating petrophysical data, Phi-K-MICP, with sedimentological, diagenetical and petrographical data. This process has allowed the definition of 7 RRTs that have been propagated into the Log domain using the kNN algorithm. The resulting Log RRTs have been analysed...

... Lonoy 6 recently introduced a new pore type classification system based on elements from the Choquette and Pray 3 and Lucia 5 systems. The new classification system includes 20 pore type classes, which shows a predictable relation between porosity and permeability. The main pore classes...

..., Volume Reflection Spectrum, Integrated Magnitude Seismic Amplitude and Heterogeneity Seismic Amplitude. Combinations of these attributes can usually provide more geological knowledge than can a study of one attribute at a time 2 . 3D seismic classification is a breakthrough emerging technology...