Computational injections active noise to improve the predictability of discovered oil and gas reservoirs and the characterization

摘要

Computational injections active noise to improve the predictability of discovered oil and gas reservoirs and the characterization, application of non-linear resonance interferometry is introduced as a new approach to improve the predictability geophysics in caracteri 11) the porosity of subsoil, the rock, and the properties of the fluids.In contrast to the observation methods that collect information random sounds, Resonance Non-linear inteferometria explores the spectrum of acquisition su00edsimica total to evaluate how the low frequency and high frequency of sound is differentially modulated by and directly. Different levels of porosity and content of hydrocarbons in both of interest.In some examples, the systems and methods to implement new interactions between seismic attributes computing field of waves acquired in a nonlinear system in software to amplify noise and distortions in seismic exploration of the injection of synthetic noise, in the format D And software.To detect hydrocarbon traps and changes in the scale of the lithology space below the seismic resolution, thus increasing the value of the information of the data of low resolution. The techniques are widely applied in the risk of fragmentary and conventional resevatu00f3r The IOS of carbon and prospects of unconventional resources of shale gas.