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The AAPG/Datapages Combined Publications Database

Showing 2,053 Results. Searched 200,663 documents.

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Physics-directed unsupervised machine learning: Quantifying uncertainty in seismic inversion

Sagar Singh, Yu Zhang, David Thanoon, Pandu Devarakota, Long Jin, Ilya Tsvankin

International Meeting for Applied Geoscience and Energy (IMAGE)

..., activation is performed by employing a nonlinear rectified linear-unit (ReLU) function. Decoder model: Stage 2 Because our objective is to estimate AI from...

2022

Opening versus shearing of a fluid-driven fault reactivation

Feng Xiao, Saeed Salimzadeh, Qian-Bing Zhang

Australian Energy Producers Journal

... Dc (3) The fluid-driven fault slippage is a highly nonlinear process that couples several physics including solid deformation and fluid flow...

2024

Robust joint inversion and segmentation of 4D seismic data

Juan Romero, Matteo Ravasi, Nick Luiken

International Meeting for Applied Geoscience and Energy (IMAGE)

..., doi: https://doi.org/10.1093/jge/gxaa053. Rudin, L. I., S. Osher, and E. Fatemi, 1992, Nonlinear total variation based noise removal algorithms...

2022

Inverse scattering theory: Time-dependent perturbation theory for wave scattering in time varying media

Xingguo Huang, Ru-Shan Wu, Pan Zhang, Wenrui Ye, Morten Jakobsen

International Meeting for Applied Geoscience and Energy (IMAGE)

...: Inverse Problems, 19, R27–R83, doi: https://doi.org/10.1088/0266-5611/19/6/R01. Yang, J., 2018, Physically significant nonlocal nonlinear schrodinger...

2022

Optimum Deconvolution for Seismic Inversion Purposes

M. Suprajitno, L. Nutt, P. Busono

Southeast Asia Petroleum Exploration Society (SEAPEX)

..., Superposition in a class of Nonlinear System: Tech. Rep. 432, MIT, Res. Lab. of Electr., 62p. 8. Oppenheim, A. V., Schafer, R. W., and Stockham, T. G...

1988

Multivariate Based Analysis of Methane Adsorption Correlated to TOC and Mineralogy Impact from Different Shale Fabrics

Sayed Ameenuddin Irfan, Nadiah Mohd Azli, Firas A. Abdulkareem, Eswaran Padmanabhan

Unconventional Resources Technology Conference (URTEC)

.... The machine learning based SVR method is incorporated for its ability to handle the regression model for linear and nonlinear input data based...

2021

Optimized stacking of migrated offset vector tiles for Tengiz PSDM image enhancement

Tianjiang Li, King Sim Lee, Bin Gong, Kai Yang, Kai Zhang, Assem Bibolova, Zhanibek Katrenov

International Meeting for Applied Geoscience and Energy (IMAGE)

... a vector tile to the hybrid of data and interpretation reference. The weights are nonlinear functions due to the variable illumination by azimuth...

2022

Characterization of deep volcanic reservoirs using TFEM, well and seismic data in the LH area

Xiaodong Suo, Weibin Dong, Yuezheng Li, Yanling Shi, Zhanjun Yang

International Meeting for Applied Geoscience and Energy (IMAGE)

... finally reaches the global extreme point. The objective function of nonlinear TFEM geophysical inversion problem in the case of L2 norm is: φ m...

2022

Tomography Techniques Applied to Near Surface Velocity Models in Complex Areas of Colombia

Jorge Monsegny, Saúl Guevara

Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)

... tomographic techniques have been developed around the world and they can be divided in linear and nonlinear ones. The linear techniques include...

2008

Application of a Pipe Stability Model for Predicting Critical Loading Conditions in Slim Holes

Ferda Akgun, Bill J. Mitchell, Sheikh S. Rahman

Southeast Asia Petroleum Exploration Society (SEAPEX)

...” are examples of the use of linear buckling models. Nonlinear models are thought to be more realistic and applicable to oilfield drill pipe. Analytical solutions...

1996

Bayesian RockAVO: Direct petrophysical inversion with hierarchical conditional GANs

Miguel Corrales, Muhammad Izzatullah, Matteo Ravasi, Hussein Hoteit

International Meeting for Applied Geoscience and Energy (IMAGE)

... Variational Gradient Descent and a set of representative solutions is produced that is consistent with the uncertainties in the data and the nonlinear...

2022

Deep adversarial multiview clustering network for unsupervised seismic facies analysis

Hanpeng Cai, Xiuyi Zou, Yuting Zhao, Sheng Zhang, Tengyu Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

..., which can learn the nonlinear features over the multi-view data and further illustrate the common latent space. DAMC network structure is shown figure 1...

2022

Implementation of Seismic Data Quality Characterisation Using Supervised Deep Learning

Joshua Thorp, Krista Davies, Julien Bluteau, Peter Hoiles

Australian Petroleum Production & Exploration Association (APPEA) Journal

... Seismic data continue to be a highly complex and nonlinear data type with many variables that affect final data quality. However, the geoscientist...

2020

A Proposed Solution to the Challenge of Producing Oil Reserves from Offshore Marginal Fields in the Natuna Sea of Indonesia

F. H. Rodriguez, B. Peribere

Indonesian Petroleum Association

... by Finite Element and Non-Linear Programming Methods", in "Computational Methods in Nonlinear programming Methods", in "Computational Methods in Nonlinear...

1986

Cross-Well Seismology: A New Production Tool

B. N. P. Paulsson, R. T. Langan

Indonesian Petroleum Association

... traveltimes. The traveltime inversion is nonlinear because the raypaths, as well as the traveltimes, are functions of the velocity field. A common approach...

1988

Seismic response analysis of thin coals

Yijun Xi, Xingyao Yin

International Meeting for Applied Geoscience and Energy (IMAGE)

... and frequency are the two basic seismic attributes, which are generally used to estimate the thickness of thin layers. However, the nonlinear relationship between...

2022

Operator chains and seismic data decomposition

Sergey Fomel

International Meeting for Applied Geoscience and Energy (IMAGE)

... expression omits the nonlinear second-order term. Applying the Fourier transform operator F to both sides of equation (3) and collecting terms, we can...

2022

Least-squares non-stationary triangle smoothing

Reem F. Alomar, Sergey Fomel

International Meeting for Applied Geoscience and Energy (IMAGE)

... such as faults, and channel boundaries (Bahorich and Farmer, 1995). Nonlinear filters, on the other hand, can preserve or enhance strong edges...

2022

Application of the Newton - Raphson Iteration Method for Predicting Gas Flow Performance in a Pipeline

Leksono Mucharam, Andreas Andhy, Suprahadi Hasan

Indonesian Petroleum Association

... of equations which are nonlinear. An iteration procedure is required to solve such equations. The Newton-Raphson iteration method has been implemented to solve...

1992

Multicomponent seismic data vector reconstruction via quaternionic matrix factorization

Yonghai Fu, Jianjun Gao, Wenbo Sun, Yandong Wang, Fan Li

International Meeting for Applied Geoscience and Energy (IMAGE)

..., the proposed method makes full use of the nonlinear orthogonal relation among different components, effectively preserves the polarization property...

2023

PVT Correlations for Indonesian Crude Oils

Madjedi Hasan, Lestari, Inawati

Indonesian Petroleum Association

...-Marhoun has used only nonlinear multiple regression analysis and a trial-and-error method which was further refined by linear regression analysis...

1993

A field data application of RockAVO: Data-driven, direct petrophysical inversion of prestack seismic data

Miguel Corrales, Hussein Hoteit, Matteo Ravasi

International Meeting for Applied Geoscience and Energy (IMAGE)

... physics models. Moreover, pre-stack seismic data are modeled from elastic parameters using the nonlinear Zoeppritz equation (Zoeppritz, 1919) or its...

2023

Multichannel seismic deconvolution via 2D K-SVD and convolutional sparse coding

Guiqian Zhang, Xiayu Gao, Bangli Zou, Yaojun Wang, Yingzhu Chen

International Meeting for Applied Geoscience and Energy (IMAGE)

... constraint terms are commonly used. For example, Gholami (2015) proposed the total-variation (TV) regularization for multi-channel nonlinear impedance...

2023

Obtaining Low Frequencies for Full Waveform Inversion by Using Augmented Physics

Eldad Haber, Eran Treister, Elliot Holtham

Petroleum Exploration Society of Australia (PESA)

... data in the frequency or time domain are being fitted by changing the velocity of the media under investigation. The problem is nonlinear...

2016

Joint data and physics model driven full-waveform inversion using CMP gathers and well-logging data

Shuliang Wu, Jianhua Geng

International Meeting for Applied Geoscience and Energy (IMAGE)

..., FWI is a high nonlinear inverse problem (Virieux and Operto, 2009). Therefore, conventional model driven FWI usually requires a good initial velocity...

2023

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