... Abstract During history matching, physical inconsistencies can be introduced and remain unrevealed. A rich parameter space can mimic the historical reservoir behaviour, possibly by sacrificing geological constraints. Improved geological consistency is proposed in this work using rock-type...

... can be run in real time to find the optimal production rates that minimize the error between physical pressure readings and the calculated ones. In this work, a constraint is added to the system by including the temperature matching in the objective function, further improving the tool reliability...

... gpus gpu simulator implementation coupling newton iteration patacchini reservoir 1 enhanced recovery constraint allocation scheduler simulator runtime reservoir simulator simulation conference Introduction Oil and gas reservoirs are often developed by asset (or field), with shared...

... reservoir discriminator petroleum engineer reservoir saturation map reservoir surveillance reservoir characterization saturation algorithm augmentation equation reconstruction constraint information prediction Introduction and Background In recent years, there has been a lot of interest...

... programming (SQP) method is used to perform nonlinearly constrained production optimization. The objective function considered here is the net present value (NPV), and the nonlinear state constraints are field liquid production rate (FLPR) and field water production rate (FWPR). NPV, FLPR, and FWPR...

... Abstract Standard approaches to optimization under uncertainty in reservoir simulation require use of multiple realizations, with variable parameters representing operational constraints and actions as well as uncertain scenarios. We will show how appropriate use of local optimization within...

... Abstract Production optimization is the method for seeking the best possible well control and schedule plans in order to enhance reservoir performance under a given state and economic constraints. Determining the optimal injection and production control strategies through adjoint gradient-based...

... field operational strategy to avoid unwanted reallocation of rates. Well-level matching is particularly lengthy for giant oilfields with several hundreds to thousands of completions, hence sometimes not refined enough to warrant using observed flowing pressures as forecast constraints. Furthermore...

... procedure optimization problem objective function pseudo function Upstream Oil & Gas optimization decision variable society of petroleum engineers Artificial Intelligence constraint reservoir simulation process algorithm variable operating cost conditional statement optimization software...

... 8000bpd of steam. The field has been under operation for about 7 years, with most of the continuous steamflood starting about 3.5 years ago. evolutionary algorithm machine learning Artificial Intelligence constraint steamflood case Upstream Oil & Gas objective mama MAEA optimization...

... while considering system constraints on the quality of the produced gas blend as well as the effect of significant differences in reservoir pressure on total asset production. The field comprises several gas reservoirs; some are already developed and in production, and others are in development...

... candidates and select the one that produces the minimum squared distance. Let us denote the solution of problem (10) by (s i * , s j * ) and the minimum inter-well distance by d min . The inter-well distance constraint is given by (12) C w d : R ( s i * , s j * ) ≥ d...

... and surface perspective. Artificial Intelligence condensate reservoir Workplace Hazard Modeling & Simulation gas injection Upstream Oil & Gas UniSim compositional subsurface-surface simulation reservoir simulation constraint production network enhanced recovery Production Chemistry...

... modeling constraint Upstream Oil & Gas asset and portfolio management water depth reservoir simulation platform pipeline reservoir model modeling & simulation potential approach Network Optimizer development scenario algorithm network simulator green field IAM approach backpressure...

... reservoir, numerical simulation models that have been managed by applying independent boundary conditions such as rate and pressure constraints. With time this solution became inefficient due to other considerations such as production facilities size and cost, surface congestion affecting the area available...

.... The distribution has been done separately in three zones: Wara, Upper Burgan and Lower Burgan. For Wara and Upper Burgan zones, nested simulations were used. The lithology (sand or shale) was simulated in a first step, under the constraint of proportion facies maps extracted from seismic data. In a second step...

... indicators in a low permeability carbonate reservoir. The main objective of this effort is to maximize short-term oil rates and long-term recovery while honoring target constraints on voidage-replacement ratio (VRR), reservoir pressure, sweep efficiencies, and production and injection rates. In essence, our...

... the subsurface system consistent with the pressure constraints and alters the wells’ IPR/VLP operating point, the multiphase flow regime in the wells and the degree to which phenomena such as condensate banking, coning, sand production, etc. appear exacerbated or mitigated. Our work addresses the contribution...

... spe 145070 iteration interpretation scenario completion assumption realization equation constraint history workflow gas lift Introduction K2 is located in the Green Canyon protraction area; in the Mississippi fan fold belt ( Fig. 1 ). It is one of the early deepwater sub-salt...

... is inadequate. This is because most currently available commercial software lack proper optimization tools in them and they do not take into consideration several key parameters and realistic constraints in them. An integrated but constrained model to optimize hydraulic fracture treatment has been developed...