.... The purpose of this paper is to highlight the knowledge that has been accumulated in various fatigue enhancement techniques and the continuous improvement of analysis capabilities. Artificial Intelligence original connector thread profile application resistance riser application fatigue...

... balance results analysis. Artificial Intelligence Drillstem Testing Reservoir Characterization estimates of resource in place reserves evaluation Upstream Oil & Gas PVT data production data material balance result analysis well shb-1 PVT measurement reservoir simulation drillstem...

... algorithms. Although the DGM is best suited for non-smooth and non-convex optimization problems, it can also be used to locate reasonable solutions for smooth convex gas lift optimization problems. optimization problem artificial lift system gas lift DGM variant gas injection qg 0 0 Artificial...

... mechanistic models for multiphase flow production control production logging Reservoir Surveillance Artificial Intelligence flow pattern slug flow prediction void fraction liquid slug gas-liquid flow pressure gradient prediction liquid holdup Hasan production monitoring Upstream Oil...

... a sample and its PVT experimental results, and a compositional gradient is parametized using the DFA observations at the different depths. A polynomial fit is then given to the distributed pressure measurements and the obtained fluid density variations are compared to the fluid model ones. Artificial...

... be used for optimum drilling fluid design during well development in Persian Gulf, Offshore Iran. drilling fluid selection and formulation drilling fluid chemistry drilling fluid property machine learning Artificial Intelligence drilling operation fluid loss neural network plastic viscosity...

... well logging upper magdalena valley Artificial Intelligence spe 108479 fracture height Halliburton Colombia Kessler evaluation reservoir log analysis Upstream Oil & Gas information module fracture pressure fracture real time system hydraulic fracturing hydraulic fracture...

... Artificial Intelligence permeability strata objective high permeability strata Upstream Oil & Gas gravity segregation producer fuzzy logic correlation hybrid intelligent system diagnosis reservoir water production channel trough fracture injector well Introduction The growing...

... analysis based on artificial intelligence with method QFD (Quality Function Deployment) is made. The QFD method is used in this study to clarify the relation between the characteristic of the system and the system parameters. The approach used for this study is divided in the following phases...

... Oil & Gas water saturation Fluid Dynamics viscosity Artificial Intelligence hydraulic tortuosity coefficient flow in porous media exponent geometry electric flow cross section tortuosity Poiseuille equation reservoir characterization spe 100201 pore fluid flow resistivity...

.... The significance of this research is to reduce the time and cost for drilling the next wells in Khangiran field. In addition, the same techniques can be applied in other hydrocarbon fields to reduce costs and time of drilling operation. Artificial Intelligence drilling fluid chemistry drilling fluid...

... in the field. As such, we recommend application of the described integrated approach for modeling complex fractured reservoirs in the other fields of Russian Federation. Artificial Intelligence Upstream Oil & Gas Reservoir Characterization information fracture characterization Zellou...

... change with pressure or time. This work can also promote safer development design to fractured carbonate gas reservoir with high H 2 S-content and avoid failure in operations. complex reservoir deposition Artificial Intelligence precipitation Upstream Oil & Gas concentration CARBONATE gas...

... This is a hybrid method that combines a traditional oil rate estimation tool, such as a production well test or well model, artificial intelligence technology, and a non parametric tool, such as Neural Network (NN) 2 , to provide continuous well rate estimation, making use of the existing well sensors without...

... media Thickness facies Artificial Intelligence Fluid Dynamics dolomitisation characterisation limestone architecture shoal dolomite reservoir model spe 104001 outcrop model fracture Reservoir Characterization Upstream Oil & Gas outcrop anticline porosity depositional carbonate...

... Upstream Oil & Gas cement drilling rig contractor south mexico Artificial Intelligence Engineering information hole section rig real time system circulation liner contract carbonate spe 102228 Mexico Drilling well logging project management reservoir surveillance production...

... procedure Formation Resistivity Factor Artificial Intelligence total porosity geometry media carbonate reservoir block size carbonate media conductivity deviation Upstream Oil & Gas porosity tortuosity characterization packing fracture porosity conductivity spe 102212 petroleum...

... fractures are intersected throughout the reservoir, and the normalized damage ratio caused by the completion and stimulation technique. The economical analysis and evaluation help determine the best completion and stimulation technique. hydraulic fracturing Upstream Oil & Gas Artificial...

... analysis deliverability relationship deliverability analysis Artificial Intelligence drillstem/well testing production log Drillstem Testing skin effect zhao 7 absolute open flow potential wellbore pressure inflow performance flow rate coefficient effective permeability completion gas...

...-breakthroughs. Upstream Oil & Gas communication enhanced recovery criteria Artificial Intelligence History operation Injection Rate reservoir information Engineer evaluation placement placement technique injection profile Halliburton injection permeability injector co 2 producer...