... dioxide footprint sealant upstream oil & gas hc system autonomic computing caprock salt concentration ug well nacl concentration concentration cement property bwow nacl reduction cement system integrity salt cavern simulation operation slurry system cement casing shoe slurry...

...-close initial guesses may lead to divergence of Newton's algorithm. In recent decades, many efforts were performed in the development of new methodologies for the solution of these PDEs that led to large-scale numerical simulators for predictions of flow in practical scales ( Epperson, 2021 ; Lecampion...

... samples with EDAX. The analyses were used to obtain quantitative results of the chemical composition at a specific spot within the rock sample. The technique can detect elements at lower detection limit of 1.0 wt%. Fluid flow simulation with SENDRA The core scale simulator SENDRA was used...

... a higher computational cost than the single-porosity and single-permeability (SP/SP) approach. The time may be a limitation for cases that require many simulations, such as production optimization under uncertainty. This computational cost is more challenging when we couple DPDP models with compositional...

...Abstract Abstract The minimum miscible pressure (P m ) of CO 2 -hydrocarbon mixtures in nanopores is a key parameter for CO 2 -enhanced shale oil recovery. Although the miscible behaviors of CO 2 -hydrocarbon mixtures in nanopores have been widely investigated through the simulations...

..., multi-laterals, etc.), drilled in ever smaller and more challenging reservoirs, such as those which are depleted, or at high pressure and or high temperature. Modelling software offers forward-looking simulations that can be used to predict drilling problems and assess the likely effects of remedial...

... simulation modelling based on the rate of calcite deposition, effective tubing radius reduction and its effect on flow rate. Chemical reactions were modeled to generate calcite in the liquid phase. Subsequently, the flowing calcite may convert to the solid phase due to temperature and pressure effects...

... Thanks to the Lagrangian algorithm, it is easy to simulate simultaneous injection of multiple substances such as fluids, proppants, and fibers, including simultaneous injection of multiple substances of the same kind. Simultaneous injection of solids representing proppants of different size...

... Mohr-Coulomb model using both a deterministic and a probabilistic methodology, and a 2-D elastoplastic finite element model, simulating the lifetime and the associated mechanical changes caused by the geothermal operation. The simulated results show that, under maximum production conditions...

... Machine Learning in a Bayesian Framework to condition parameter ranges to a multitude of observed data. To generate the response of the parameters, we used a numerical model and applied Latin Hypercube Sampling (2000 simulation runs) from the prior parameter ranges. To ensure that sufficient parameter...

... materials fracturing fluid Simulation particle size complex reservoir concentration profile particle proppant concentration primary channel hydraulic fracturing Upstream Oil & Gas secondary fracture system particle suspension boundary test cell secondary channel suspension breakthrough...

... the model. An automated workflow for geostatistical simulations conditioned by seismic probability cubes of facies and petrophysical properties and multi-scenario risk analysis, including depth conversion and well calibration of seismic properties, generated Static and Dynamic models ready to be approached...

... simulations were run and averaged for performance comparison. MLR identifies non-negligible parameters and general trends for shale gas adsorption. Nonetheless, the correlation coefficients from MLR are far from satisfactory. For Langmuir pressure, RF models fit best to the data entries and the other models...

... on a Portland reservoir core sample with those collected through direct pore-scale simulations and employing the ensuing information to simulate WAG injection at reservoir scale. Our evaluations of two-phase relative permeabilities rest here on two diverse approaches. Hereafter, we term as classical...

... adsorption heavier hydrocarbon matrix block molecule Upstream Oil & Gas composition diffusion saturation complex reservoir enhanced recovery Simulation condensate hydrocarbon gas composition shale reservoir equation gas phase molecular diffusion fraction injection...

... geomechanical models using seismic data. The resulting static MEM is the computational framework for transient computations using coupled fluid flow and mechanical solvers. Mechanical and hydrodynamic (flow simulation) solvers are coupled using various strategies to be discussed in a later section...

... conditions, i.e. Winsor type III micro-emulsion phase but a recently series of core-flood experiments indicated that comparable oil recovery could be obtained at under-optimum salinity conditions ( Battistutta et al. 2015 ). Mechanistic simulation of ASP flooding considering phase behavior of water-oil...

... Abstract As an enhanced oil recovery method (EOR), chemical flooding has been implemented intensively for some years. Low Salinity WaterFlooding (LSWF) is a method that has become increasingly attractive. The prediction of reservoir behaviour can be made through numerical simulations...

... Upstream Oil & Gas machine learning optimization problem Simulation Artificial Intelligence reserves evaluation information workflow estimation Reserve Estimation probabilistic method global optimization method input parameter solution space sensitivity analysis evolutionary algorithm...

... optimization and decision making is discussed. Upstream Oil & Gas hydraulic fracturing well logging the fbi stimulation treatment fracture height growth Simulation Vaca Muerta conventional log fracture growth fracture height fracture simulation log analysis fracture barrier index...