... in characterizing reservoirs, comparisons have been made between CRM and reservoir simulation, streamline simulation and artificial intelligence. Details of these comparisons will be presented in section 3 of this review. The following section will discuss each of the aforementioned models in details giving...

... of gas recovery which is very similar to unconventional reservoirs. Therefore, vertical and horizontal wells with hydraulic fractures have been concluded the most efficient way to develop coal seams with low effective permeability in a secondary medium. artificial intelligence coal bed methane...

...-hole pressure of injection wells based on the derived dependence of the half-length of the Auto-HF (crack). drillstem testing hard-to-recover reserve bottom-hole pressure artificial intelligence drillstem/well testing reservoir pressure injection well coefficient enhanced recovery...

... recovery efficiency imbibition core sample formation water artificial intelligence experiment low salinity water injection low salinity water carbonate formation displacement efficiency permeability oil recovery Introduction Currently one of the topical technological subjects...

... in porous media upstream oil & gas viscosity water saturation artificial intelligence directional drilling laboratory study characteristic pore space agent gel gas blocker selectivity experiment surfactant solution filtration enhanced recovery gas injection method fluid dynamics...

... downhole motor drilling fluids and materials coiled tubing communication channel upstream oil & gas electrical motor rotational speed electrodrill reliability artificial intelligence drilling operation information application electric drilling cable section Introduction A big...

... with a straddle-packer assembly was carried out. completion monitoring systems/intelligent wells production monitoring log analysis enhanced recovery artificial intelligence flow in porous media upstream oil & gas experiment well logging flow control equipment drilling operation regime...

.... reservoir characterization enhanced recovery artificial intelligence machine learning waterflooding injection well admixture water cut efficiency upstream oil & gas operation assumption complex reservoir isotopic composition composition reference well algorithm production well deposit...

... to simplification of the measuring system design. drilling fluids and materials ift evolution curve drilling fluid management & disposal resolution enhanced recovery upstream oil & gas intensifier artificial intelligence ift value hpht condition setup drop generation evolution curve...

... management gti station application controlling artificial intelligence production company unproductive time petroleum engineer diagram indicator target indicator digital procedure upstream oil & gas efficiency sensor analytical resource well construction technology conference...

... problems in oil and gas field development, in particular for determining the inflow profile in horizontal wells, was confirmed. machine learning drilling operation artificial intelligence directional drilling reservoir characterization structural geology upstream oil & gas vertical bar...

... will be the subject of a future publication. reservoir characterization log analysis artificial intelligence production monitoring flow in porous media well logging drilling operation asset and portfolio management drillstem testing pressure transient testing reserves evaluation pressure transient...

...) within a few hours. production control flow in porous media reservoir surveillance production monitoring reservoir simulation disadvantage accuracy upstream oil & gas calculation machine learning artificial intelligence fluid dynamics prediction algorithm test field forecast...

.../well testing flow metering deep learning upstream oil & gas machine learning artificial intelligence neural network fluid dynamics flow rate prediction sequence sensor differential equation rate prediction multiphase rate linear regression input feature scenario time step...

... and to the injection tests outcomes while carrying out hydraulic fracturing are given. In the course of the interpretation of the field data the parameters of each fracture of hydraulic fracturing were selected with control for results of well logging (WL) by defining the fluid influx in the borehole. artificial...

... of our own design, which has no analogs in industrial applications. production control artificial intelligence machine learning reservoir surveillance flow metering neural network production monitoring conformance improvement upstream oil & gas enhanced recovery production logging...

... for a geologist, which helps him to identify cases where our model should be applied. neural network pixel generator artificial intelligence seg technical program expanded abstract image inpainting algorithm mask size machine learning reservoir characterization restoration upstream oil & gas...

... degradation, viscosity contrast, and bank formation. hydraulic fracturing obstacle experiment fiber fracturing materials fracturing fluid viscous fluid pressure distribution validation digital slot artificial intelligence upstream oil & gas simulation hydraulic fracturing simulator...

... Symposium SPWLA 7. Zhou Y. , and S. Goldman , 2004 , Democratic co-learning: Presented at 16th IEEE International Conference on Tools with Artificial Intelligence The fourth stage of the program's work is directly the classification of the initial set for each trace in the survey...

..." intervals. As a result, weighting connectivity parameters of the model can be depicted on a map of well interactions versus time. enhanced recovery production monitoring asset and portfolio management flow in porous media production control artificial intelligence reservoir simulation fluid...