Results 161 to 170 of about 18,650 (210)
Some of the next articles are maybe not open access.
Benefits of FWI Imaging and 4D FWI in the Culzean Field
Second EAGE Seabed Seismic Today Workshop, 2023I. Espin +6 more
openaire +1 more source
Land Data FWI: Methods and Strategies
Abu Dhabi International Petroleum Exhibition and Conference, 2015Abstract There have long been attempts to apply Full Waveform Inversion (FWI) to land data sets because it has the potential to build higher-resolution velocity models compared to traditional ray-based model building techniches.
Wei Zhang, Nanxun Dai
openaire +1 more source
Accelerated Exploration Via Fwi
83rd EAGE Annual Conference & Exhibition, 2022H.A. Debens +3 more
openaire +1 more source
FWI for elastic media: macrovelocity reconstruction
Proceedings, 2017Currently the common approach to perform FWI is nonlinear least square minimization of the standard data misfit functional which characterizes L2 residual between observed data and synthetized one for a current velocity model. As was aforementioned this approach has been developed and studied in a great number of publications.
V. Cherveda, G. Chavent, K. Gadykshin
openaire +1 more source
Convergence Regions for AWI and FWI
Proceedings, 2017Cycle-skipping is the most significant local minimum FWI suffers in practice, while adaptive waveform inversion (AWI) provides a new waveform-inversion scheme which is robust against cycle-skipping. In this paper, we present an extensive test exploring the convergence properties of both FWI and AWI against cycle-skipping.
J. Yao, L. Guasch, M. Warner
openaire +1 more source
SEG Technical Program Expanded Abstracts 2016, 2016
Kenneth Irabor, Michael Warner
openaire +1 more source
Kenneth Irabor, Michael Warner
openaire +1 more source
83rd EAGE Annual Conference & Exhibition Workshop Programme, 2022
P. Trinh +3 more
openaire +1 more source
P. Trinh +3 more
openaire +1 more source
DNN Application For Pseudo-Spectral FWI
Proceedings, 2018Full-waveform inversion (FWI) is a widely used technique in seismic processing to produce high resolution earth models iteratively improved an earth model using a sequence of linearized local inversions to solve a fully non-linear problem. Deep Neural Networks (DNN) are a subset of machine learning algorithms that are efficient in learning non-linear ...
openaire +1 more source
Efficient and robust waveform-inversion workflow: Tomographic FWI followed by FWI
SEG Technical Program Expanded Abstracts 2014, 2014Biondo Biondi, Ali Almomin
openaire +1 more source
Elastic FWI for large impedance contrasts
Second International Meeting for Applied Geoscience & Energy, 2022Zedong Wu +5 more
openaire +1 more source