1-20 of 3765
Keywords: seismic data
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426944
... towards important regions of the approach is based on directly learning the inverse mapping model space. Grana et al. (2012) and Jeong et al. (2017) between 3D seismic data and reservoir models using 3D employ the probability perturbation method and adaptive convolutional neural networks. We generate...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426983
... Yilmaz, 2018). To mitigate the deficiencies due to this restriction, the synthetic data generated from the optimal model is adaptively subtracted from the shot gathers. However, since the quality factors can significantly attenuate amplitudes and cause phase shifts in seismic data, both practical...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3414726
... Due to the band-limited characteristic of seismic data, conventional deterministic inversion methods cannot identify the thin reservoirs beyond seismic resolution and cannot evaluate the inversion uncertainty; besides, traditional stochastic inversion algorithms require a large number of...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3414896
... Microseismic monitoring is a crucial element to understanding hydraulic fracturing operations prior to oil and gas production. One of the more tedious quality control (QC) measures that must often be performed following a microseismic processing workflow is a visual inspection of seismic data to...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3415697
... factor can be automatically adjusted according to the noise level of seismic data and obtain the best compromise between resolution and stability of the inversion result. Numerical and real data examples validate the adaptive ability and high-resolution advantages of the proposed method, which indicates...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3417800
... seg international exposition impedance model seismic data inversion result reservoir characterization constraint conventional method geophysics inversion spectrum artificial intelligence mswc inversion model constraint low-frequency component model spectrum accuracy exploration...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3417839
... upstream oil & gas compliance seg international exposition fracture characterization variation coefficient azimuth multiple vertical fracture seismic data random noise inversion kachanov reservoir characterization sayer exploration geophysicist 10 fracture Natural...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3418408
... of the method. illustrates the effectiveness of this method. Theory Introduction 1. PPDF of model parameter constrained by seismic data Seismic inversion is a significant technology that converts the seismic amplitude to certain elastic properties, such as In Bayesian inversion, the model parameter...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3399306
... seg international exposition reservoir characterization frequency low frequency simultaneous fashion extrapolation neural network seismic data expanded abstract exploration geophysicist 10 acquisition reconstruction low-frequency extrapolation seg technical program incomplete data...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3409173
.... The seismic analysis included a rock physics analysis to understand the seismic sensitivity to various rock properties, seismic data conditioning to improve the AVO well-tie, pre-stack inversion to estimate velocities and density, and frequency decomposition to study subtle changes in the waveform. We...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3411871
... sedimentology on 3D seismic data to investigate the lower Cambrian carbonates in Gucheng area, which is located at the same platform margin as the LT1 well. Three seismic amplitude attributes, generated from three frequency-decomposed -90°-phased seismic sub-cubes, were RGB color blended for a qualitative...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3412681
... How to improve resolution and reduce multi-solution are always the key problems in seismic inversion. There are many reasons resulting in these problems, such as band-limited characteristic of seismic data and noise. In this paper, we proposed the fixed-point seismic inversion method to relieve...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3418905
... artificial intelligence seismic data salt body basis function radial basis function bayesian model swi fwi Stochastic full waveform inversion (SWI) of seismic data for FWI starting models Jinsong Chen, Uwe K. Albertin, Kurt Nihei, Sam Kaplan, Michael Hoversten, Lin Zhang, and Dimitri Bevc Chevron...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3419221
... provide more accurate TOC estimates from seismic data if we invert for shale density and porosity by seismic inversion. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 1:50 PM Presentation Time: 3:30 PM Location: 360D Presentation Type: Oral reservoir characterization...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3421111
... intelligence frequency neural network classification seismic data exploration geophysicist 10 prediction threshold geomechanical property test data brittleness reservoir characterization upstream oil & gas brittleness classification seg international exposition geophysical characterization...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3421310
... seismic data producer boonsville field interpretation caddo sequence texas similarity zone oil producer The Caddo Sequence of the Boonsville Field (Texas, USA) has been characterized combining Similarity Analysis and unsupervised Neural Networks. The main goal was to identify and delimit...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3421387
... Full waveform inversion (FWI) can be applied to time-lapse (4D) seismic data for subsurface reservoir monitoring. However, non-repeatability (NR) can contaminate the data preventing reliable estimates of 4D changes. Using realistic reservoir models and NR measurements, we show the effects of...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3422285
... roll). However, that leads to its energy being dispersed over an ellipse on zero intercept slice 3D seismic data as of the 3D tau-p transform domain, which decrease the resolution in slowness. A least-squares 3D conical RT ( ) ( D(t, x, y) = M , px py t px2x2 + py2 y2 d dpxdpy , (1) (LSCRT...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3423186
... We introduce an approach to estimate timeshifts and reservoir property changes in time-lapse seismic data using machine learning (ML). ML models were trained for each reservoir field of interest by generating synthetic seismic data using 4D reservoir and geomechanical models. We then apply the...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3423752
... In this work, we investigate the applicability of an ensemble based petrophysical parameter inversion framework to decouple changes in porosity field from dynamic reservoir/petrophysical parameters such as changes in saturation, pressure using timelapse seismic data as measurement. Here, changes...

Product(s) added to cart

Close Modal