... upstream oil & gas reconstruction neural network asia government china government reservoir characterization frequency machine learning correction broadband reconstruction wavelet deep learning artificial intelligence resolution american association inversion discriminator...

.... upstream oil & gas reservoir characterization american association applied geoscience reservoir geomechanics exploration geophysicist building equivalence brazilian geophysical society meneguim structural geology p-impedance santos basin geohazard shale international wavelet energy 10...

... of fluid factors on amplitude is the key to the success of hydrocarbon inspection. In this paper, broadband ricker wavelet deconvolution technology is used to improve the quality of seismic data. Based on the improved seismic data, starting from seismic data and forward modeling, the quantitative...

... Full-waveform inversion (FWI) relies on an accurate initial model and source wavelet, appropriate physical modeling, and a dedicated acquisition, including long offsets and low-frequency recordings. For land applications, in addition to near-surface complexity with high contrast variations...

... of surfaces available to better define the distinctive frequencies. In this paper, the Matching Pursuit algorithm is compared with both the Short Time Fourier Transform and the Continuous Wavelet Transform methods. A case study is presented on the Maui field, offshore New Zealand, in the Taranaki basin...

... of the construction of broadband wavelet, low frequency constraint and prior geological information constraint, the inversion objective function under Bayesian framework is constructed, and the combined algorithm of simulated annealing and least square optimization is used to realize the high precision inversion...

... between field and modeled data. We verified the proposed workflow by analyzing QC results. inversion waveform inversion asia government reservoir characterization upstream oil & gas seismic model saudi arabia government wavelet geophysics dataset american association implementation...

... of deconvolution. VSP data is used to extract wavelets because of its high resolution and high signal-to-noise. Then the accurate operator of deconvolution is gotten by adopting matching calculation between surface wavelet and VSP wavelet. At last, deconvolution of wavelet replacement is applied to poststack...

... variation near-surface geology evaporite dissolution reservoir characterization wavelet international residual misfit society vigh reduction Addressing the complex near-surface challenges in the Delaware basin through recent FWI advancements Ali Mohamed*, Dmitry Kulakov, Daniel Suren, Wilfrid...

... are decomposed into features by a CNN that are used to represent the coefficients and the dipole dictionary. The output of the network is reconstructed to produce a reflectivity series that is convolved with a wavelet to compute a predicted trace. The misfit (loss) between the input and the predicted trace...

... machine learning international geophysics reservoir characterization distortion particle upstream oil & gas impedance wavelet exploration geophysicist artificial intelligence inversion zoeppritz equation algorithm incoherent distortion workflow svgd american association...

... In this paper we present a synthetic example and a real data example of AVO inversion in long time windows. Two aspects of long time windows will be high-lighted: the growing non-linearity of the data model with increasing object size, and the fact that over long time windows single wavelets...

... seismic model frequency figure 2 clair philip tillotson wavelet lindsey smith upstream oil & gas figure 3 waveform inversion american association international energy 10 society Application of full waveform inversion to ultra-high-density OBN data at Clair field Simon Luo*, Xukai Shen...

... seismic data. Firstly, we derive an analytic formula for synthesizing the depth-domain seismic record directly, which uses the depth-domain model and the time-domain wavelet. Based on this analytic formula, the objective function of direct inversion is derived. Then, we apply our method on the synthetic...

... from note for simplicity the unit frequency wavelet defined here this method are found to be close to true vertical thickness is without a compact support. This is fine if we only study found in wells. the resulting function locally near the reflector time. But for the derivation of a more reasonable...

... The conventional reflection coefficient inversion assumes that the seismic wavelet is time-invariant, but due to the influence of factors such as stratum absorption and attenuation, the actual seismic wavelet will change when it propagates in the underground medium. If the time-varying nature...

... Time-domain inversion employs frequencies from a finite frequency-band wavelet to propagate seismic waves via a numerical approach. However, the classical time-domain FWI has been confined by the magnitude distribution of each frequency in a wavelet, resulting in an apparent “wavelet effect...

... In hydrocarbon and mineral exploration, seismic reflectivity inversion is frequently used to get an accurate representation of reflectivity by removing the wavelet from the seismic data. Nevertheless, due to the band-limited nature of wavelet, both low and high-frequency energy present...

...-resolution information about changes in the reservoir Most existing time-lapse processing algorithms either assume properties during hydrocarbon production and CO2 injection. the source wavelet to be known or iteratively estimate it during However, the accuracy of the estimated source wavelet, which...

... by seismic inversion. Least-squares migration can help mitigate such non-geological amplitude variations. Herein, dip-dependent illumination and wavelet stretch effects are captured using point spread functions and mitigated through least-squares migration in the image domain. The inversion, also referred...