Welcome to the new Datapages Archives
Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.
AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.
Welcome to the new Datapages Archives
Search Results > New Search > Revise Search
The AAPG/Datapages Combined Publications Database
Showing 772 Results. Searched 200,293 documents.
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)
... into a conventional transpose; "*" represents a convolution operation. Each model parameter vector �� of the TFEM constrained inversion problem...
2022
Mitigating cycle skipping in FWI through preconditioned multidimensional optimal transport
James McLeman, Tim Burgess, Tom Rayment, Victor Chua
International Meeting for Applied Geoscience and Energy (IMAGE)
... of this is that P represents a filter, and its application is efficient since it is simply a convolution with xn. We solve equation (6) using a preconditioned...
2022
Analysis of the impact of demigration on traveltime-based reflection full-waveform inversion
Hong Liang, Houzhu (James) Zhang, Hongwei Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
...e convolution. The traveltime-based RFWI (Ma and Hale, 2013) utilizes a two-step workflow. The first step obtains 𝛿𝐦 through conventional FWI whil...
2022
The generation of equivalent sources by 3D skeletonization of the migration density field
James Brewster
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the array density voxel cells, both the forward modeling and continuation calculations can readily be reduced to discrete convolution operations...
2022
Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment
David W. Eaton, Yuanyuan Ma, Chaoyi Wang, Kelly MacDougall
International Meeting for Applied Geoscience and Energy (IMAGE)
..., 2018). The 1-D convolution kernel size is set to seven data points. Finally, the normalized softmax exponential function is used to set probabilities...
2022
Assessment on the Serviceability of Monopod Platforms in Java Sea Due to Wave Excitation
Gde Pradnyana
Southeast Asia Petroleum Exploration Society (SEAPEX)
..., the structure may also be excited by the higher frequency forces which are associated to the second and third convolution of the wave energy. Such case is known...
1996
AVO-Inversion for Reservoir Characterization of Baturaja Carbonate, Gunung Kembang Field, South Sumatra Basin
Yudi Yanto, Tino Febriwan
Indonesian Petroleum Association
... that expected of the corresponding acoustic impedance profile. A single convolution inversion operator is derived that optimally inverts the data. The spectrum...
2008
High-resolution prestack seismic inversion of reservoir parameters using an arch network
Ting Chen, Yaojun Wang, Yuan Yuan, Gang Yu, Guangmin Hu
International Meeting for Applied Geoscience and Energy (IMAGE)
...), convolution kernel size (Ks), batch size (Bs), input data height (Ih). Table 1 Detailed parameters of our proposed A-Net architecture shown in figure...
2022
Echo phone for direct attenuation indication
Lu Liu, Tong Fei, Fuhao Qin, Yi Luo
International Meeting for Applied Geoscience and Energy (IMAGE)
... extrapolated by two-way wave equation, the notation ∗ represents a time convolution, 𝑢 𝐱 𝐫 , 𝑡; 𝐱 𝐬 is the shot gather from the shot 𝐱 𝐬 to the receiver...
2022
Deep learning Laplace-Fourier full-waveform inversion with virtual supershot gathers
Lei Fu, Daniele Colombo, Weichang Li, Ernesto Sandoval-Curiel, Ersan Turkoglu
International Meeting for Applied Geoscience and Energy (IMAGE)
... layers and an output layer. The 4 densely connected layers contain 256, 256 128, and 128 nodes. The CNN consists of four 1D convolution layer...
2022
Whats Your Gas Worth: A Thrilling or a Taxing Matter?
Kenneth Wee
Australian Petroleum Production & Exploration Association (APPEA) Journal
... their own share of convolution, controversy and contention. Where the gas is taxed at a ‘midstream’ point antecedent to a sale, it becomes more complicated...
2019
Broadband reconstruction of seismic signal with generative recurrent adversarial network
Zhijun Zhang, Wei Song, Wei Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and the discriminator is to build the loss function by introducing Wasserstein distance to ensure no problem of gradient vanishing at any time. When using convolution...
2022
Enhancing the accuracy of DBSCANs first arrival traveltime picking using super-virtual refraction interferometry
Muhammad Awais, Sherif M. Hanafy, King Fahd
International Meeting for Applied Geoscience and Energy (IMAGE)
... crosscorrelation and convolution among direct arrivals, reflections, refractions, and ground rolls. To achieve the best results, the window is aimed...
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)
... -! (#, ), *) and weighted by an appropriate factor '(#, ), *). The amplitude factor should also include a one-dimensional convolution by a derivative filter...
2022
Imaging and fold comparison of mirror reverse time migration vs. interferometric imaging for VSP data
Liwei Cheng, James Simmons, Ali Tura
International Meeting for Applied Geoscience and Energy (IMAGE)
... migration. As a result, the anticline and shallow layers are well-defined and consistent with the convolution trace when the migration velocity model...
2022
Automated metallic pipeline detection using magnetic data and convolutional neural networks
Brett Bernstein, Yaoguo Li, Richard Hammack
International Meeting for Applied Geoscience and Energy (IMAGE)
... such that their sum is 1. Our network design uses two convolution and two max-pool layers. More than one of each may risk overfitting the network...
2022
Lithofacies prediction of shale based on broadband spectral inversion
Hongmei Luo, Yiran Xing, Changjiang Wang, Jingtao Zhang, Peijie Yang
International Meeting for Applied Geoscience and Energy (IMAGE)
... to the time domain convolution theory, the effect of seismic wavelet is removed from the seismic record, and then the reflection coefficients are obtained...
2022
An optimal aperture crosscorrelation imaging condition for Marchenko imaging
Xiaochun Chen, Yezheng Hu, Yukai Wo, Weiping Cao, Xuri Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... , x F , t 0 ) as an image value at image point x F . In equation 3, the asterisk denotes temporal convolution. In our work, only the first arrival...
2022
Insights using machine learning in predicting faults and horizons: A case study onshore Texas
Dan Ferdinand Fernandez, Mustafa Karer, Richard Hearn, Ryan King, Sunil Manikani, Gavin Menzel-Jones
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Convolutional Neural Network for faults For fault prediction, ML technology using a deep convolution neural network (CNN) U-NET architecture adapted...
2022
Production and Reservoir Property Determination Using Integrated Pressure Measurement Techniques
W. Douglas Morgan, Manfred J. Wittmann, Bruno J. Deruyck
Indonesian Petroleum Association
... technique (Slider 1983) were used in addition to the normal Horner semilog analysis. Also downhole rate convolution (D. Meunier et al., 1985) was used...
1987
Seismic data interpolation via frequency-constrained 3D inception Unet
Yen Sun, Paul Williamson
International Meeting for Applied Geoscience and Energy (IMAGE)
... absolute errors in time and frequency domains. The inception modules (Szegedy et al., 2014) contain parallel paths with convolution blocks of different...
2022
Using deep learning for automatic detection and segmentation of carbonate microtextures
Claire Birnie, Viswasanthi Chandra
International Meeting for Applied Geoscience and Energy (IMAGE)
... the common Masked Region-based Convolution Neural Network from computer vision can be adapted to the task of identifying individual micrite crystal...
2022
Statistical Characterization and Geological Correlation of Wells Using Automatic Learning Gaussian Mixture Models
David, Lubo, Vikram Jayaram
Unconventional Resources Technology Conference (URTEC)
... to quantitative seismic interpretation. Ties using a poststack or prestack convolution model are routine, while supervised classification tying well data...
2014
Volumetric supervised contrastive learning for seismic semantic segmentation
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... separable convolution for semantic image segmentation: Presented at the Proceedings of the European conference on computer vision (ECCV), 801–818. Chen...
2022
Shaping regularization by fast explicit diffusion
Sergey Fomel
International Meeting for Applied Geoscience and Energy (IMAGE)
...), can be expressed in the infinite domain in the form of spatial convolution u0 (x0 ) G(x − x0,t) dx0 , un , (15) The explicit recursion...
2022