... production system floating production storage & offloading floating production storage and offloading subsurface storage upstream oil & gas artificial intelligence machine learning allahyarzadeh climate change co2 efficiency compression case 1 injection energy simulation cc efficiency...

... Reservoir simulation is (mostly) memory bandwidth limited, i.e., performance is essentially governed by how fast data moves from memory to the arithmetic units rather than how fast these can perform calculations. For example, a good quality full-GPU simulator running on a single high end server...

...-processing methods and 3D geomechanical simulations. The field-scale evaluation of completion quality, or Completion Quality Cube, provides a dynamic 3D representation of the sub-surface along with a completion quality score. This score reflects the geomechanical state and its relationship to the anticipated...

... simulation is used to reconcile the various SCAL datasets and derive a consistent set of saturation functions. The main conclusions of the study are: 1) Qualified advanced core analysis experiments have successfully revealed comparable Sor and Kr curves from the different techniques, 2) Initial water...

... Simonov et al. (2019, SPE-196639) developed a similar approach to optimize miscible gas injection with regards to cumulative oil production using a surrogate model constructed from other Machine Learning algorithms such as Random Forest. The initial set of almost 1000 numerical simulations...

.... In analytical solutions, oil saturation ( S o ) in the oil bank is never greater than the upper-limiting oil saturation for stable foam ( fmoil in our model). Nevertheless, in numerical simulations, S o may exceed the oil saturation that kills foam in the oil bank ahead of the foam region, reflecting...

... simulator configuration exhibition terminal constraint simulation reservoir asset and portfolio management quantity integrated asset model enhanced integrated asset model base case platform upstream oil & gas development case scenario integrated asset modelling separator...

... strength is currently uncertain since no water was tested or sampled during initial production tests. upstream oil & gas displacement fraction drillstem testing miscibility miscible displacement drillstem/well testing enhanced recovery simulation equation of state experiment formulation...

... ). Pilot Preparation To ensure a successful pilot, thorough preparation is necessary. This includes finding proper well candidates, conducting thorough laboratory tests, designing the SAT recipe, preparing the well, designing the treatment sequence with software simulation, and preparing...

... operators improve their margins, reduce their emissions and, in general, position themselves for sustainable growth. Before they are in operation, plants (and oilfields alike) are typically simulated using physics-based tools. In practice, therefore, physics-based simulation models pre-date any plant data...

...: Real-time flow rate prediction of various phases Real-time wells performance Real-time pipeline network performance The dynamic nature of the problem and the variability of the solution space makes it extremely hard for traditional simulation-based solutions to locate the optimal performance...

... generate Friction Factor (FF) ± 0.5 in Open Hole. Based on performed simulations and depending on the well profile, surface torque required to rotate the string was between 25,000 to 30,000 pound-ft. This paper will describe and provide details on how the FS helicoidal buckling was minimized and its...

... is to integrate the contextual and operational data of projects, assets, process and buildings. Within this framework, it encompasses digital solutions for visualization, virtualization, simulation, optimization and predictive analysis. More specifically, a process digital twin (PDT) encompasses solutions...

... network (DFN)—was history matched, confirming the successful application of the proposed methodology. upstream oil & gas hydraulic fracturing neural network fracture artificial intelligence hydraulic fracture reservoir characterization simulation fracture geometry gaussian mixture model...

..., coupled with advanced digital technologies in reservoir simulation, have been showcased in proposing a solution to the ‘Multiscale link’ in reservoir characterisation, providing the groundworks for its programming realisation. Importantly, it was concluded that the layers of complexity within learning...

... simulations from digital rocks (micro-CT images) provide deep insights into the correlation between pore structures and NMR relaxation processes. Conventional NMR simulations using the random walk method could be computationally expensive at high image resolution and particle numbers. This work introduces...

... control application reliability procedure information management real time system workflow indication simulation investigation separator upstream oil & gas reservoir surveillance allocation kpis instrument wellhead petroleum engineer flowline Introduction In the recent years...

... project management asset and portfolio management benchmarking upstream oil & gas artificial intelligence conference production enhancing drilling sensitivity simulation technology conference construction offshore technology conference deployment implementation paper digital twin...

...-particle, particle-wall interaction on solid flow dynamics and erosion, DEM coupled with CFD is used to simulate the gas-solid flow. In CFD-DEM approach, the fluid phase is considered in Eulerian and solid phase is Lagrangian framework. The continuous phase (gas) is solved using Navier-Stokes equations...

.... turbine utilizing turbine inlet air cooling compressor air emission implementation chiller reduction tiac upstream oil & gas efficiency greenhouse ga emission petroleum engineer society saudi arabia climate change simulation exchanger carbon emission Introduction Ras Tanura...