This paper proposes a method for quantitative integration of seismic (elastic) anisotropy attributes with reservoir performance data as an aid in characterization of systems of natural fractures in hydrocarbon reservoirs. This method is demonstrated through application to history matching of reservoir performance using synthetic test cases. Discrete Feature Network (DFN) modeling (Dershowitz et...

Simulatedannealing (SA) Wutiques have shown great potential to generate geologically realistic permeability fields by combining data from many sources, such as well logs, cores, and tracer tests. However, the application of SA in reservoir description and simulation is limited owing to its prohibitively large computational time requirement, even on modern MqXWornputem. This paper introduces an ...

The main purpose of this investigation is to study the effect of near miscible CO2 injection in different porous mediums on both lab and field scales. This effect can be traced by the change of two-phase gas-oil relative permeability curves. In this work, the experiments have been performed on three rock types (i.e. sandstone, dolomite, and artificial fractured sandstone) based on an incrementa...

permeability is a key parameter in reservoir characterization. in fact, without accurate information about reservoir permeability, there is no good solution for reservoir engineering problems. up to now, permeability values of a reservoir have been calculated through laboratory measurements or well testing methods. these methods are useful but they cannot describe a reservoir reliably and preci...

The analysis of crosswell seismic data for a gas reservoir in Texas revealed two newly detected seismic wave effects, recorded 2000 feet above the reservoir. The first is that the dominant late phases on the records are the tube waves generated in the source well and later converted into laterally propagating waves through the reservoir in gas/water saturated layers, which convert back to tubew...

Geological uncertainty is of significant concern in petroleum reservoir modeling with the goal of maximizing oil production. Stochastic simulation allows generating multiple reservoir models that can be used to characterize this uncertainty. However, the large computation time needed for flow simulation (e.g., for use in production forecasting) impedes the evaluation of flow on all reservoir mo...

With construction of new large-scale water storage projects on the wane in the U.S. and other developed countries, attention must focus on improving the operational effectiveness and efficiency of existing reservoir systems for maximizing the beneficial uses of these projects. Optimal coordination of the many facets of reservoir systems requires the assistance of computer modeling tools to prov...

Geostatistical modeling of petrophysical properties is a key step in modern integrated oil and gas reservoir studies. Recently, generative adversarial networks (GAN) have been shown to be a successful method for generating unconditional simulations of poreand reservoir-scale models. This contribution leverages the differentiable nature of neural networks to extend GANs to the conditional simula...

Accurate integration of flow simulation and seismic modeling is one of the cornerstones of reliable time-lapse (4D) seismic monitoring. However, the question which scales flow simulations need to resolve to accurately capture reservoir changes during production and whether these scales are resolvable in seismic data is an open one. The answer impacts computational costs and our ability to predi...