1-20 of 240
Keywords: seismic inversion
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/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582178
... Optimizing drilling speed in the Permian Basin has tremendous impacts to an independent producer’s bottom line. Any gained efficiencies are largely a result of an integrated geology, geophysics, and engineering workflow. By using a new well planning workflow that utilizes 3D seismic inversion...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579970
... The value of converted wave (PS) seismic data as a complementary interpretation product to compressional wave (PP) data is well understood. However, in practice, a number of challenges can limit the applicability of PPPS seismic inversion. A case study is presented where such challenges...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583111
... reservoir characterization deep learning inductive learning seismic inversion seismic data temporal convolutional network artificial intelligence upstream oil & gas alfarraj machine learning neural network applied geoscience alregib target dataset causality expanded abstract...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583101
... on the previous one. The new realization is accepted or rejected Stochastic methods for seismic inversion problems for the according to a pre-defined rule, that depends on the adopted estimation of rock and fluid properties are commonly algorithm. The most popular McMC methods are the adopted in reservoir...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584072
... with the presented technology the door towards the use of low-memory accelerators such as GPUs. reservoir characterization memory imprint gradient calculation geophysics upstream oil & gas seismic inversion full-waveform inversion inversion machine learning approximation randomized trace...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582960
... inversion inversion ei-43deg seismic inversion initial model western desert reservoir characterization optimizing elastic impedance inversion sand prediction exploration geophysicist 10 upstream oil & gas egypt ei-43deg target sand sand body lithology Optimizing Elastic Impedance...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3593763
..., indicating the potential of relative including petrophysical and elastic data analysis, detrending, rock physics in seismic facies interpretation. The rock physics modelling, and nonlinear seismic inversion. employment of this workflow is also discussed. The comparison of relative and rock physics...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426944
...Seismic inversion for reservoir facies under geologically realistic prior uncertainty with 3D convolutional neural networks Anshuman Pradhan* and Tapan Mukerji, Stanford University Summary solution, computational costs can be significant even for low to moderately high dimensional model spaces...
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-2020-3427400
... Matrix and fracture porosity characterization is key to the optimal development of a carbonate hydrocarbon field. While amplitude-variation-with-offset (AVO) seismic inversion techniques have been used for some time for the estimation of porosity from seismic data acquired over conventional...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3425521
...Anderson Acceleration for Seismic Inversion Yunan Yang, Courant Institute of Mathematical Sciences, New York University. SUMMARY The main contribution of the paper is to apply AA to seismic inversion to improve the convergence of the steepest descent Full waveform inversion (FWI) and least-squares...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3425889
...Machine learning assisted seismic inversion Prasenjit Roy* and Xinfa Zhu, Energy Technology Company, Chevron; Weihong Fei, North America Upstream, Chevron Summary a. Require high quality training dataset that is expensive and time consuming Seismic inversion is technically challenging, time...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426157
.... The diffraction image technique was employed to obtain a better image ability to cultivate the karst-cave reservoir. Besides that, a seismic inversion technique was introduced to apply on the diffraction data, to eliminate the wavelet effect, and obtain a better vertical resolution image. Presentation Date...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426233
... followed by applying geostatistical seismic geostatistical seismic inversion with geological, geophysical inversion. In the next section, we will first give a brief and engineering information within 3D static reservoir description of the methodology followed by a detailed models. The resulting reservoir...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3424413
... experiment. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 9:20 AM Presentation Time: 10:10 AM Location: Poster Station 11 Presentation Type: Poster artificial intelligence seismic inversion upstream oil & gas quantum computing velocity model optimization problem...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428004
... Since the deep learning networks can 'learn’ the complex mapping function between the labeled input and output, they have been showing great potential in seismic inversion. Generally, the deep learning algorithms require a large amount of labeled data to train properly. However, in practice...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215750
... ABSTRACT Deep learning has a good performance in feature extraction and nonlinear fitting. In recent years, there has been more and more researchers applying deep learning to geophysics. In this work, we build a Resnet for pre-stack seismic inversion for azimuthal anisotropic medium, from...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215696
... visible layer toward the remaining ones. We then use the network to perform pre-stack seismic inversion to predict the impedances by training it to learn the non-linear relationship between the rock properties and seismic amplitudes. The inversion algorithm requires low frequency starting models...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215709
..., into the calculation of weight. Therefore, the prior impedance model calculated by SCW is in line with the geological laws and can reduce the multisolution of seismic inversion. The application results of the deep-thin volcanic reservoirs in the Junggar Basin, China, indicate that our inversion strategy can...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215902
... neural network modeling machine learning workflow seismic trace inverse problem inversion estimation seismic inversion georgia institute submodule property loss inverse model convolutional layer upstream oil & gas deep learning seismic data artificial intelligence reservoir...

Product(s) added to cart

Close Modal