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The AAPG/Datapages Combined Publications Database
Showing 12,666 Results. Searched 200,293 documents.
Abstract: A Novel Approach Combining Machine Learning & Classical Modeling Techniques to Characterize The Clastic Reservoirs In the Northern Area of Greater Burgan Field; #91204 (2023)
Reham Al-Houti, Jean-Michel Filak
Search and Discovery.com
... seismic inversion process, 2)lithology-classification and analysis, 3)- structural modeling, 4)- facies modeling, 5)- petrophysical modeling, 6)- water...
2023
Abstract: Geostatistical Seismic Inversion Using Analogs for Reservoir Characterization and Uncertainty Assessment in Early Stages of Exploration; #90255 (2017)
Ângela Pereira, Ruben Nunes, Leonardo Azevedo, Luís Guerreiro, Amílcar Soares
Search and Discovery.com
... reflection data is most of the times the only data available due to the low acquisition cost and great spatial coverage. In reservoir modeling...
2017
Abstract: Supporting the Training of Physics Informed Neural Networks for Seismic Inversion Using Provenance;
Renan Souza, Andres Codas, Alberto Nogueira Junior, Joao Almeida, Miguel Quiñones, Leonardo Azevedo, Raphael Thiago, Elton Soares, Marcelo Costalonga Cardoso, Leonardo Martins
Search and Discovery.com
... the modeling decisions. Finding the solution of a seismic inversion problem is an exploratory, time-consuming computational experiment that demands...
Unknown
Comparison of Magnetic Vector Inversion With Sparse Norm Susceptibility Inversion Accounting for Demagnetization
John M. Weis, Lindsey J. Heagy, Douglas W. Oldenburg
International Meeting for Applied Geoscience and Energy (IMAGE)
... susceptibility inversion, increasing the non-uniqueness of the inverse problem. We show that if appropriate prior information is available, modeling...
2023
ABSTRACT: Resistivity Modeling and Neural Network Synthetics—Powerful New Exploration and Development Tools
Steven M. Goolsby, Jeff S. Arbogast
Kansas Geological Society
... requires accurate resistivity and porosity information. Historically, although slow and somewhat cumbersome, forward modeling and inversion processing...
1999
ABSTRACT Downhole Gravity Gradiometry: A New Technique for Prospect and Reservoir Modeling?, #90104 (2010)
Krieger Markus H.; Smilde Peter L.; Geisler Oliver K.; Hossfeld Stefan
Search and Discovery.com
... possible applications. However, motivated by novel downhole instrument developments, and with advanced 3D modeling, inversion and visualization tools...
2010
Application of Extended Elastic Impedance Method and Seismic Stochastic Inversion to Mapping the Distribution of Sandstones and Gas-Sand in LAPANG Field, West Natuna Basin, Indonesia
Gilvano Matthew, Ignatius Sonny Winardhi
Indonesian Petroleum Association
.... In addition to the deterministic sparse spike seismic inversion, a stochastic seismic inversion was performed using the same EEI data. Both...
2014
Subsurface Fracture and Stress Determination using In-situ Full Azimuth Seismic data and Orthorhombic Imaging and Inversion
Search and Discovery.com
N/A
Abstract: A Joint LSPSM/Inversion Algorithm for High Resolution Time Lapse Imaging; #90187 (2014)
Abdolnaser Yousefzadeh and John C. Bancroft
Search and Discovery.com
.... In this study, we use Kirchhoff LSPSM for the joint inversion of time lapse data which is cheaper than the wave equation methods. To do so...
2014
Abstract: Introducing Seismic Inversion to Reduce Uncertainties in Static Modeling, by Faical Ben Amor and Ofonmbuk Ekpoudom; #90081 (2008)
Search and Discovery.com
2008
Abstracts: Improved Near-surface Velocity Models from 2D Waveform Tomography of Vibroseis First-arrival Data; #90173 (2015)
Brendan R. Smithyman and Ronald M. Clowes
Search and Discovery.com
... of strong near-surface heterogeneities. One possible compromise between 2-D methods and full 3-D inversion is the use of 2.5-D forward modeling...
2015
Wide-angle AVO-inversion using constant P-traces: AVP-inversion
Dennis Cooke
International Meeting for Applied Geoscience and Energy (IMAGE)
... values from SVD) tells us how noise in the input data can be amplified in the inversion (Aster et al 2013, equation 3.87). Figure 1 shows the quantity...
2022
Abstract: Tomographic Reflected-Wave FWI Using Time Lag; #90254 (2016)
Geoff Clark, Yilong Qin
Search and Discovery.com
.... To mitigate the limitation of ray-based tomography methods, various wave-equation-based traveltime inversion methods or finite-frequency tomography...
2016
Jointly data and model driven pre-stack inversion of elastic and anisotropy parameters in HTI media
Xin Zhang, Jianhua Geng
International Meeting for Applied Geoscience and Energy (IMAGE)
..., data-driven inversion methods, especially those based on deep learning, may suffer from poor generalization when lacking sufficient training data and may...
2024
Adaptive OCCAMs inversion for the interpretation of borehole ultra-deep azimuthal resistivity measurements
Wardana Saputra, Junsheng Hou, Carlos Torres-Verdín, Sofia Davydycheva, Vladimir Druskin
International Meeting for Applied Geoscience and Energy (IMAGE)
... of data misfit to trigger local higher-dimensional inversions. We construct an augmented linear system for fast and stable OCCAM’s inversion...
2023
Joint inversion of magnetotelluric and seismic travel time data with intelligent interpretation of geophysical models
Hongyu Zhou, Rui Guo, Maokun Li, Fan Yang, Shengheng Xu, Zuzhi Hu, Deqiang Tao
International Meeting for Applied Geoscience and Energy (IMAGE)
... and sensitivity of the methods are different, inconsistency often arises when performing data inversion and interpretation. To obtain an accurate...
2022
2013
Integrated Prospect Evaluation Using Electromagnetic, Seismic, Petrophysical, Basin Modeling, and Reservoir Engineering Data, by Elizabeth Lorenzetti Harvey, Odd-Petter Skogly, Tracy Burke, and Luiz Amado; #90052 (2006)
Search and Discovery.com
2006
Abstract: Seismic to Reservoir Simulation: A Cooperative Inversion; #90187 (2014)
Larry Lines and Amir Shamsa
Search and Discovery.com
... acceptable error criteria. The mathematical formulation for the inversion requires an appropriate modeling description of both seismic wave propagation...
2014
Abstract: Fast-Track and Robust Reservoir Modeling Using Probabilistic Neural Network; #90319 (2018)
Islam A. Mohamed, Basem K. Abd El-Fattah
Search and Discovery.com
... to be an input to the fluid simulations. The geostatistical reservoir-modeling (stochastic modeling) methods are widely used instead...
2018
Leveraging Stochastic Inversion to Increase Understanding of Drilling and Completion Hazards in the Midland Basin
Dennis Ellison, Zahary Vera, Carla Diaz
Unconventional Resources Technology Conference (URTEC)
... is a modeling process that generates multiple property realizations at higher resolutions than what is available from deterministic inversion and enables...
2022
Combining Seismic Inversion and Geostatistics to Predict Reservoir Properties; #42294 (2018)
Dragos Cristea
Search and Discovery.com
... of its acoustic impedance distribution. Basically, inversion is the process of extracting, from the seismic data, the underlying geology which gave...
2018
Three-dimensional joint inversion of seismic and gravity data using Gramian constraints and Gauss-Newton approach
Hao Zhu, Hongzhu Cai, Xinyu Wang, Ziang He, Lichao Liu, Xiong Xiong, Xiangyun Hu
International Meeting for Applied Geoscience and Energy (IMAGE)
... and reliability of joint inversion in aligning and integrating diverse geological data for improved subsurface modeling. Figure 4 displays the progression...
2024
Label-defect tolerance ability of deep learning inversion networks and its applications
Yang Ping, Xu Hunqun, Liu Di, Tao Chunfeng, Wang Chengxiang, Yue Changqing
International Meeting for Applied Geoscience and Energy (IMAGE)
..., they pointed out the challenge of obtaining sufficient label data. From 2019 onwards, there was an explosion of achievements in deep learning inversion (DLI...
2023
Reducing Uncertainty in Subsalt Interpretation: A Non-Seismic View from Integration; #40508 (2010)
Markus H. Krieger and Oliver Geisler
Search and Discovery.com
... parameters for the next one, in terms of forward modeling and inversion, aiming to minimize the residuals in both methods (Figure 2). However, an advanced...
2010