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Showing 2,053 Results. Searched 200,616 documents.
Reservoir architecture and porosity distribution, Pegasus Field, West Texas — an integrated sequence stratigraphic-seismic attribute study using neural networks
J. S. Schuelke, J. A. Quirein, J. F. Sarg, D. A. Altany, P. E. Hunt
West Texas Geological Society
... estimation of log properties; Part 2: Using artificial neural networks for nonlinear attribute calibration: The Leading Edge, Vol. 13, No. 6, 574–678. Taner...
1999
Prescriptive Model for Automatic Online Plunger Lift Unconventional Wells Optimization
Adriana Romero, Christopher Feldmann, Katherine Silva Alonso, Gustavo Martinez, José Barros, Marcelo Montero, Juan Ignacio Alvarez Claramunt, Eugenio Ferrigno
Unconventional Resources Technology Conference (URTEC)
.... March, T.K. & Chapman, Sandra & Dendy, R. (2005). Recurrence Plot Statistics and the Effect of Embedding. Physica D: Nonlinear Phenomena. 200. 171-184...
2020
Deep-learning application of salt geometry detection in deep water Brazil
Ruichao Ye, Anatoly Baumstein, Kirk A. Wagenvelt, Erik R. Neumann
International Meeting for Applied Geoscience and Energy (IMAGE)
..., which logically should be Training labels In the above, 𝑥 is the input seismic image patch, 𝐹 stands for the nonlinear map generated by neural...
2022
Optimizing Remaining Locations: Multivariate Analysis of Fluid and Proppant Impact on Middle Bakken Parent and Child Wells - Mountrail County, North Dakota
Patrick Rutty
Unconventional Resources Technology Conference (URTEC)
... (ACE) algorithm (Breiman and Friedman, 1985) was used in the regression, allowing accurate modeling of the nonlinear impact of variables such as lateral...
2020
A stochastic modeling method of seismic velocity and anisotropy parameters in VTI medium using travel time detectability criterion
Andrey H. Shabelansky, Huafeng Liu, Cory J. Hoelting, Min Yang, Jinsong Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
...126. Ely, G., A. Malcolm, and O. V. Poliannikov, 2018, Assessing uncertainties in velocity models and images with a fast nonlinear uncertainty quantifica...
2022
Poro-acoustoelasticity FD simulation of elastic wave propagation in prestressed porous media
Haidi Yang, Li-yun Fu
International Meeting for Applied Geoscience and Energy (IMAGE)
... stresses. Though the material may be still linearly elastic, large strains render the strain-stress relation no more linear. The simplest nonlinear...
2022
Analysis and Interpretation of Multi-Source Data at the Hydraulic Fracturing Test Site: A Data-Driven Approach to Improve Well Performance Evaluation in Heterogeneous Formations
Shadi Salahshoor
Unconventional Resources Technology Conference (URTEC)
... is the flowchart of the workflow illustrating how nonlinear multivariate analysis is deployed on the prepared dataset after evaluating multiple machine learning...
2020
Staggered source acquisition to improve images fidelity
Chunming Wang, Hongwei Guo, Gengxin Peng, Ying Hu, Junru Jiao, Bin Yang, Kun Xu, Grace Yan, Xianhuai Zhu
International Meeting for Applied Geoscience and Energy (IMAGE)
... parameters. Then 3D turning ray tomographic inversion is performed using both first arrives. After 9 non nonlinear iterations, the inversions converge...
2022
Automated hyper-parameter optimization for deep learning framework to simulate boundary conditions for wave propagation
Harpreet Kaur, Sergey Fomel, Nam Pham
International Meeting for Applied Geoscience and Energy (IMAGE)
... (Z¨ ller and Huber, 2021). However, manual tuning is inefo ficient because of large number of hyper-parameters in complex models, nonlinear hyper...
2022
Horizontal stress inversion based on azimuthal difference in P-wave reflectivity
Fubin Chen, Zhaoyun Zong, Xingyao Yin
International Meeting for Applied Geoscience and Energy (IMAGE)
..., the nonlinear effects of horizontal stress on the properties of upper and lower media make Eq. (25) produce more errors than Eqs. (23) and (24) do...
2022
Simultaneous waveform inversion of seismic-while-drilling data for P-wave velocity, density, and source parameters
Jinji Li, Scott Keating, Nasser Kazemi, Roman Shor, Kristopher A. Innanen
International Meeting for Applied Geoscience and Energy (IMAGE)
... factor affecting inversion results is limited geometric coverage in seismic data acquisition. FWI is nonlinear and ill-posed, so dense acquisition...
2022
Imaging the reservoir permeability from time-lapse electromagnetic data
Taqi Alyousuf, Yaoguo Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... constraint to enforce a linear or nonlinear relationship between porosity and permeability. Figure 1. Workflow for electromagnetic time-lapse inversion...
2022
Elastic-AdjointNet: A physics-guided deep autoencoder to overcome crosstalk effects in multiparameter full-waveform inversion
Arnab Dhara, Mrinal Sen
International Meeting for Applied Geoscience and Energy (IMAGE)
... a nonlinear operation. Since three separate decoders with different network weights are used to upscale the same latent space, the crosstalk issue can...
2022
Full Waveform Inversion: Early Start of Model Building Process to Resolve the Complex near Surface Model in the Exmouth Sub-Basin, North West Shelf Australia
Lianping Zhang, Haryo Trihutomo, Yuelian Gong, BeeJik Lim, Alexander Karvelas
Australian Petroleum Production & Exploration Association (APPEA) Journal
...-offsets and/or low frequencies to mitigate the cycle-skipping issue due to the nonlinear nature of FWI. With cycle-skipping mitigation techniques...
2018
3D velocity model building based upon hybrid neural network
Herurisa Rusmanugroho, Junxiao Li, M. Daniel Davis Muhammed, Jian Sun
International Meeting for Applied Geoscience and Energy (IMAGE)
... accurate 3D complex velocity model. The transformation of the linear output to the nonlinear is performed using ReLU (Nair and Hinton, 2010...
2022
Reservoir models selection based on volumetric and connectivity metrics
Peng Li, Dario Grana, Leonardo Azevedo
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Multidimensional scaling (Cox and Cox, 1994) is a nonlinear dimensionality reduction method that represents a set of high-dimensional data...
2022
Building high-resolution models and synthetic seismic data to evaluate interpretation scenarios
Tiago Santos Cabral, Rodrigo Lopes Fernandes, Daina Popic Bendoraitis, Josair Estrela Gonalves Junior, Luiz Alberto Santos
International Meeting for Applied Geoscience and Energy (IMAGE)
..., 1979). To that end, the PSDM volume is scaled from depth to time and then a nonlinear iterative deconvolution algorithm as described by Rosa (2018, p...
2022
Source rock evaluation from rock to seismic: Integrated machine learning based workflow
Andrea Carvalho Damasceno, Andr Leonardo Korenchendler, Atilas Meneses da Silva, Eric da Silva Praxedes, Maria Anna Abreu de Almeida dos Reis, Vitor Gorne Silva
International Meeting for Applied Geoscience and Energy (IMAGE)
... attributes and allowing the fitting of nonlinear models to the data, machine learning techniques provide more accurate predictions of these properties...
2022
Poisson binomial-based random undersampling scheme for near-surface compressive sensing
Sayan Mukherjee, Yunyue Elita
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Wang, G. Hennenfent, and P. P. Moghaddam, 2008, Curvelet-based seismic data processing: A multiscale and nonlinear approach: Geophysics, 73, no. 1, A1...
2022
Temperature Insulation Design for Deepwater Gas Well Test, Abadi Field
Masato Okuno, Ken Makishima
Indonesian Petroleum Association
... value of viscosity. In a non-Newtonian fluid, the relation between the shear stress and the strain rate is nonlinear, and can even be time-dependent...
2009
Predicting pressure-dependent velocities for carbonates by linking static and dynamic elastic properties
Xuan Qin, De-hua Han
International Meeting for Applied Geoscience and Energy (IMAGE)
... on a small scale. As a result, the seismic velocity-porosity relationship of carbonate is nonlinear and more complicated than sandstone or shales...
2022
Broadband reconstruction of seismic signal with generative recurrent adversarial network
Zhijun Zhang, Wei Song, Wei Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... "hidden" computing layers, which enables the network to learn and establish a highly nonlinear relationship between input variables and output...
2022
Direct monitoring of fluid saturation using time-lapse full-waveform inversion
Amir Mardan, Bernard Giroux, Gabriel Fabien-Ouellet, Mohammad Reza Saberi
International Meeting for Applied Geoscience and Energy (IMAGE)
... for nonlinear elastic inversion of seismic reflection data: Geophysics, 51, no. 10, 1893–1903, doi: https://doi.org/10 .1190/1.1442046. Zhou, W...
2022
Quantifying uncertainty in unsupervised machine learning methods for seismic facies using outcrop-derived 3D models and synthetic seismic data
Karelia La Marca, Heather Bedle, Lisa Stright, Rafael Pires de Lima, Kurt J. Marfurt
International Meeting for Applied Geoscience and Energy (IMAGE)
...) is a nonlinear dimension reduction, and clustering technique that provides a probabilistic representation of data vectors in latent space (Figure 4c...
2022
Accelerated Kirchhoff depth migration on CPU-GPU heterogeneous computing systems
Yujin Liu, Hongwei Liu, Yi He, Fuhao Qin, Yue Du
International Meeting for Applied Geoscience and Energy (IMAGE)
..., 2020, Nonlinear beamforming for enhancement of 3D prestack land seismic data: Geophysics, 85, no. 3, V283–V296, doi: https://doi.org...
2022