... to further enhance its performance. To reduce the CPU time of handling bound constraints, we reformulate the GMM fitting formulation such that an unconstrained optimization algorithm can be applied to find the optimal solution of unknown GMM parameters. To obtain a sufficiently accurate GMM approximation...

... technique is employed to deal with each control volume locally such that the hyperbolic equations can be computed in an efficient node-by-node manner. This reordering algorithm scales linearly with the number of unknowns. The total CPU time, including grid generation and flow diagnostics, is typically...

... larger than the number of observed data, both memory usage and CPU time can be significantly reduced when compared to solving the original problem directly. An auto-adaptive power-law transformation technique is developed to transform the original strong nonlinear function to a new function that behaves...

.... constraint gathering node iteration Artificial Intelligence node slack variable Upstream Oil & Gas pseudo slack slack matrix reservoir simulation weight factor adjacency graph active constraint matrix cpu time nonzero entry surface network network matrix slack variable method equation...

... hydrocarbon phases and a simplified water and rock phase is also presented. PVT measurement phase diagram iteration optimization problem CPU time enthalpy entropy algorithm Artificial Intelligence Upstream Oil & Gas transition temperature coefficient mole fraction brantferger equation...

... shale gas reservoir fluid invasion fracture network hydraulic fracturing CPU time formation damage hybrid approach MINC method dual porosity model fracture model hydraulic fracture invasion flow simulation discretized model fracture permeability Introduction Most shale gas...

... be performed once. The pressure and IMPSAT matrices are much smaller than the original FIM matrix, so the overall CPU time can be reduced significantly. The success of this solution method depends on approximation of the IMPSAT-like matrix. Two methods are proposed to construct this matrix. In the first...

... An analysis of the results follows. Agbami. The 36% reduction in the total number of isolated well iterations translates into a 4.8% reduction in total CPU time. The main driver for the improvement is the rate allocation algorithm, which uses potential rates as the guide rates so the well...

... computations are bypassed, and where PSA is needed, the RV-based Newton method converges quadratically. In a typical simulation, the PEC computations take up only about 10% of the total CPU time. The exceptional performance of the RV-based method with PSA bypassing allows for modeling complex EOR processes...

..., and IPAFactory. All parts work together to provide better solver performance (CPU time and convergence). We discuss each part in the following subsections: IPADataBase IPADataBase is the tool used to connect IPALight and IPAFactory. The IPALight algorithm runs throughout the simulation and provides solver...

... coefficient pressure constraint rate constraint gradient constraint coupling perforation reservoir simulation cpu time efficiency reservoir simulator network equation wellbore model symposium simulator newton iteration process simulation equation of state formulation composition...

... experience of parallelization of an existing all-purpose reservoir simulator for shared memory platforms, using OpenMP instructions. The paper describes the methodology of parallelization in three incremental steps: first identifying the most CPU time consuming routines. Second, parallelizing these routines...

... Abstract Computer models of oil reservoirs have become increasingly more complex in order to represent geological reality and its impact on fluid flow. Memory and CPU time limitations by finite difference/volume simulators force a coarser resolution of reservoirs models through upscaling...

... for the same model using the windowing and local timestepping technique. Further it will be shown that solving the window model with large timestep lengths for the first and small lengths for the second solution step results in equal or smaller CPU times and less NR iterations in comparison...

... of computer CPU time and memory. This leads to uncertainties in the simulation due to the averaging techniques used in petrophysics and in the modelling of surface processes. Parallel computing is now an attractive solution to overcome these drawbacks by using the best of the hardware and software technology...

... convergence adaptive implicit method cpu time preconditioner adaptive implicit formulation formulation implicitness subdomain reservoir surveillance fluid dynamics enhanced recovery newton iteration flow in porous media production control production monitoring Introduction Coupled...

... a technique with efficiencies as high as 90% and 70% on 8 and 32 nodes, respectively. The increased performance was the result of the minimization of message-passing overhead. reservoir simulation computation ipsc 860 spe 29102 calculation latency cpu time pvt estimation node implementation...

... and can provide a 100 times speed-up over conventional serial computers. decomposition equation solver calculation upstream oil & gas saturation processor linear system iteration level cpu time grid simulator united states government sst execution spe 21214 supercomputer...

... cpu time reservoir simulation iteration procedure upstream oil & gas modeling & simulation conjugate gradient method matrix iterative solution coefficient matrix sipcg sip united states government algorithm iteration parameter preconditioner implicit procedure INTRODUCTION...

... calculation cpu time simulation model reservoir simulation average vector length efficiency simulation interface vectorization reservoir simulation model assembly language vector processor processor ibm 3033 diagonal equation united states government plane elimination programming language...