... of the measured ranges. Artificial Intelligence (AI) has proven to be an alternative solution to many of the problems where physics and classic statistics fail to provide satisfactory solutions due to limiting assumptions and complicated reality. Different AI methods, viz., Fuzzy Logic (ANFIS), Neural Networks...

... development. enhanced recovery steam-assisted gravity drainage cyclic steam injection flow in porous media Fluid Dynamics thermal method SAGD well completion Artificial Intelligence Upstream Oil & Gas steam injection screening criteria heat distribution Oil Recovery completion better...

... distinct identification reservoir potential regions for each layer at the reservoir at last time step of history match. These regions showed high OI values that reflected the actually mapped oil in each layer at that time. flow in porous media Upstream Oil & Gas ikh Artificial Intelligence...

... and condensate production from the field and finally, on the long term scale, unlocking commercial unconventional gas resource for future generations in Western Desert, Egypt. Artificial Intelligence Egypt Reservoir Characterization Upstream Oil & Gas shale play obaiyed field source rock...

.... Reservoir Characterization Artificial Intelligence Thickness facies serravallian turbiditic reservoir body anomaly trend society of petroleum engineers sidi salem formation anticline sequence sediment Egypt amplitude anomaly trend Oligocene temsah concession Upstream Oil & Gas study area...

.... The parameters that mostly affect each correlation are also highlighted so engineers would know which parameters need to be accurate in using the recommended correlations. Reservoir Surveillance Artificial Intelligence production control production monitoring multiphase flow pressure point...

... and execution phase while cementing the deepest expandable casing in Mediterranean offshore Egypt. Artificial Intelligence casing and cementing cement property complex reservoir high pressure high temperature gel time cement formulation cement chemistry transition time BHCT spacer foam ball...

... optimization project in the GoS and how the opportunities created will add considerable benefits to the business. Reservoir Surveillance production monitoring optimization problem artificial lift system gas lift mmscfd availability gas balance study society of petroleum engineers Artificial...

... production forecast. Artificial Intelligence carbonate reservoir surface reaction experiment complex reservoir dolomite disk regime porosity Upstream Oil & Gas concentration mass transfer acidizing disk rotational speed fresh acid diffusion coefficient diffusion coefficient result...

... for predictors trained on data at 0.5ft depth spacing rather than at 1.0 ft depth spacing. Artificial Intelligence oil field well logging resistivity index NPHI determination machine learning neural network predictor prediction entire cored interval log analysis Upstream Oil & Gas true...

... pair of the predictors by using the smoothed terms. All the multivariate statistics analyses of Lithofacies classification and permeability modelling with results visualizations were done through R, the most powerful open-source statistical computing languages. Artificial Intelligence machine...

... downhole environments. This Paper will reveal the technology overview, updates, case histories and field limitations Artificial Intelligence optimization problem Upstream Oil & Gas drillstring design drilling operation drill pipe selection cost optimization approach liner Technology...

... Abstract Screening criteria stage for the EOR applications is useful for many candidate reservoirs before expensive reservoir descriptions and economic evaluations are done. This paper presents the application of using fuzzy logic as an artificial intelligence technique in the screening...

... in achieving and maintaining a zero accidents record for more than 6 years. Also, reduction in the rig non-productive time caused by company transportation issues was achieved by 97% and reduction in the wrong tools / equipment delivery was achieved by 100%. Artificial Intelligence Egypt incident...

... while keeping a balance in RF for both companies. optimization problem injector Energy Sustainability placement optimization Upstream Oil & Gas objective function NPV Artificial Intelligence new objective function function evaluation best realization realization multi-objective...

... was the “Recovery Factor”. Testing both the simple and sophisticated networks showed prediction capabilities of 9.5% and 8.0% of actual recovery factor, respectively. recovery factor sophisticated ann artificial neural network Artificial Intelligence reserves evaluation testing data neural network...

... analysis pressure transient testing correct model Artificial Intelligence node machine learning Upstream Oil & Gas training data neural network training space model identification reservoir model identification reservoir model society of petroleum engineers boundary condition artificial...

... significantly. production monitoring optimization problem gas Lift Design artificial lift system Artificial Intelligence Reservoir Surveillance Upstream Oil & Gas gas lift flow rate correlation operate dead well operate Mukherjee calculation oil production oil rate production control...

.... hydraulic fracturing Drillstem Testing drillstem/well testing inner region mobility ratio msfhw Artificial Intelligence complex reservoir significant effect pressure drop shale gas Upstream Oil & Gas fracture half-length fracture equation pressure transient curve reservoir permeability...

.... The first is Teal South in the Gulf of Mexico and the second is Scapa in a North Sea. machine learning history matching mcmc application estimation Artificial Intelligence Upstream Oil & Gas multilevel markov chain monte carlo standard mcmc Teal South reservoir simulation approximation...