... 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...

... 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 permeability saturation exhibition...

.... 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...

... Technical Conference and Exhibition , Denver 13. Kouider El Ouahed , A. , Tiab , D. , Mazouzi , A. , Jokhio , S. : " Application of Artificial Intelligence to Characterize Naturally Fractured Reservoirs ", paper SPE 84870 presented at the 2003 Asia Pacific SPE International Improved...

... of the fatigue crack, and microsections of the crack initiation site in the longitudinal direction. This analysis led to the following outcomes and conclusions: Artificial Intelligence original connector thread profile application resistance riser application fatigue performance Upstream Oil...

... of the material 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...

... 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 Intelligence Upstream Oil & Gas variant gas allocation discrete gradient method optimization qo qg qo qg qo...

... 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...

... 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 Intelligence machine learning equation of state Upstream Oil & Gas...

.... The proposed methodology can 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...

... ( Figure 6 ). The use of the WaveSonic ® Hydraulic Fracture Height Evaluation Technique, when combined with the micro-seismic technology, adds value to the evaluation and planning of production enhancement. well logging upper magdalena valley Artificial Intelligence spe 108479 fracture height...

... In spite of the fact that the petroleum industry is usually being criticized for moving at a snail's pace in embracing information technology, it was one of the first in applying artificial intelligence technologies. Expert systems like DIPMETER ADVISOR and PROSPECTOR are often mentioned...

... 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...

... of the production facilities. However, for many fields this isn't a cost effective solution. Building non-parametric (Artificial Intelligence) production rate models based on pressure and temperature measurements has proven to be a valid and cost effective solution. Several processes are necessary to measure...

... 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...