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 624 Results. Searched 200,693 documents.
Volumetric Calculations Using 3D Seismic Calibrated Against Porosity Logs - Pretty Hill Formation Reservoirs, Onshore Otway Basin
P. J. Boult, J. Donley
Petroleum Exploration Society of Australia (PESA)
... be considered an extension of the conventional post-stack inversion process. The latter method uses a convolutional model, which is based on an extracted...
2001
Interpolated fast and computational-efficient multidimensional singular spectrum analysis (I-FMSSA) for compressive simultaneous-source data processing
Rongzhi Lin, Yi Guo, Fernanda Carozzi, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... further speed up the anti-diagonal averaging step of the MSSA filter via a convolutional operator. The proposed deblending algorithm is also capable...
2022
High-resolution seismic detection of shallow natural gas beneath Hutchinson, Kansas
Susan E. Nissen, W. Lynn Watney, Jianghai Xia
Environmental Geosciences (DEG)
...-frequency reflections are artifacts of the overlying gas, which cannot be accurately reproduced with the simple convolutional model used to create...
2004
GPU-based 3D anisotropic elastic modeling using mimetic finite differences
Harpreet Singh, Jeffrey Shragge, Ilya Tsvankin, Fatmir Hoxha
International Meeting for Applied Geoscience and Energy (IMAGE)
... are applied only to the nearsurface part of the model. Multi-GPU communications are handled with a CUDA-aware MPI library. We present initial performance...
2022
Digital Innovation in Subsea Integrity Management
Ricky Thethi, Dharmik Vadel, Mark Haning, Elizabeth Tellier
Australian Petroleum Production & Exploration Association (APPEA) Journal
... that might otherwise go undetected. In addition, the speed at which it analyses footage and identifies anomalies is at least 10 times faster than...
2020
Improving Depth Prediction Accuracy of Quantified Drilling Hazards
W. Scott Leaney, William H. Borland
Geological Society of Malaysia (GSM)
... problem without a forward problem, and the forward problem underlying seismic trace inversion is the convolutional model. A processed seismic trace...
1996
Velocity continuation with Fourier neural operators for accelerated uncertainty quantification
Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
International Meeting for Applied Geoscience and Energy (IMAGE)
... in the background squared-slowness model. Uncertainty quantification is essential for determining how variability in the background models affects seismic...
2022
A step towards the automatization of predictive geological mapping
Rafael Pires de Lima, Marcos Ferreira, Iago Costa
International Meeting for Applied Geoscience and Energy (IMAGE)
... Process Data Clip to extent Feature files Remote sensing Raster Clipped Clipped Preprocess Data selection Fit model Comparison Predict...
2022
Chapter 7: Advanced Reservoir Characterization Using 3D Seismic Data in Badger Basin, Bighorn Basin, Wyoming
John E. Buggenhagen
Montana Geological Society
... model can be created. This detailed model can then be used to help locate subtle anomalies associated with unconventional reservoirs...
1997
The Geophysical Case History of Rengasdengklok Area, North West Java
Basuki Puspoputro, Emir Lubis
Indonesian Petroleum Association
... No. 506.78.03. Robinson, E.A., 1983. Seismic velocity analysis and the convolutional model. IHRDC, Boston. Schlumberger, 1987. Well Seismic Service Processing...
1992
Kutei Basin: Feasibility Study of a Broadband Acquisition
Gilbert Del Molino, Fabri Ikhlas Gumulya, Dedy Sulistiyo Purnomo, Paolo Battini, Bonita Nurdiana Ersan, Francesca Brega, Ferdinando Rizzo, Giorgio Cavanna, Buia Michele
Indonesian Petroleum Association
.... Figure 6 shows a seismic section of the area, where sand bodies are visible. The model has been built supposing that up to three waterfilled sand...
2013
AVO and Inversion Contribute to Makassar Exploration Efforts
William L. Soroka, Herry Andiarbowo, Anung Widodo
Indonesian Petroleum Association
... representation of true amplitude normal incidence P-wave reflectivity. From the convolutional model, it is understood that the seismic wavelet convolved...
1995
The use of FWI in coal exploration
Mehdi Asgharzadeh, Maryam Bahri, Milovan Urosevic
Petroleum Exploration Society of Australia (PESA)
... of a 2D earth model that represents subsurface geology in Goonyella coal mine in Queensland, Australia. We generated elastic synthetic shot records...
2018
Counterfactual uncertainty for high dimensional tabular dataset
Prithwijit Chowdhury, Ahmad Mustafa, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... reveals valuable insights into model responses, enhancing decision-making, fairness analysis, and understanding of influencing factors. Our paper...
2023
Integrated well data and 3D seismic inversion study for reservoir delineation and description
Qazi Sohail Imran, Numair Ahmad Siddiqui, Abdul Halim Abdul Latif, Yasir Bashir, Almasgari Abdalsalam, Abduh Saeed Ali, Muhammad Jamil
Geological Society of Malaysia (GSM)
... on the convolutional model and a linearized weak contrast approximation of the Zoeppritz equations. The solution of stochastic inversion is given by a Gaussian...
2020
Pushing the limit of 5D interpolation using deep learning
Yangkang Chen, Hang Wang, Chao Li, Omar M. Saad
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning (DL). The proposed method requires an ingenious data preconditioning scheme to provide a better sampled initial model for DL interpolation...
2024
Backscatter analysis of vehicle-generated noise using symmetric autoencoders
Sanket Bajad, Pawan Bharadwaj
International Meeting for Applied Geoscience and Energy (IMAGE)
... among the CCNs within Xr ? To understand this, we assume a convolutional model with a point noise source. We write each CCN as a discrete convolution...
2024
An AI approach to using magnetic gradient tensor analysis for quick depth and property estimation
David A. Pratt, K. Blair McKenzie, Anthony S. White
Petroleum Exploration Society of Australia (PESA)
... into the expert system whereas, it is very difficult to understand how a trained neural net model relates to the underlying geology. The AI system...
2019
Comparison of Seismic Reconvolution and Gabor Deconvolution in Improving Seismic Images to Detect Local Fluid Trapping
Madaniya Oktariena, Wahyu Triyoso
Indonesian Petroleum Association
.... The convolutional model is constructed using the Gabor Transform of a non-stationary seismic to estimate Gabor Transform of the reflectivity. While...
2016
Time-Lapse Petro-Elastic and Seismic Modeling to Evaluate Fracturing Efficiency in Low-Permeability Reservoirs
Masoud Alfi, Zhi Chai, Anshuman Pradhan, Travis Ramsay, Maria Barrufet, John Killough
Unconventional Resources Technology Conference (URTEC)
... inputs, normal incidence seismic traces are forward-modeled through the convolutional model shown in Eq. 10. A zero-phase Ricker wavelet with a central...
2018
Geological Facies Prediction Using Computed Tomography in a Machine Learning and Deep Learning Environment
Uchenna Odi, Thomas Nguyen
Unconventional Resources Technology Conference (URTEC)
...-defined geological facie classifications. Once the machine understands the relationship between geological facies and CT scan physics, the resulting model...
2018
Convolute Lamination, its Origin, Preservation, and Directional Significance
Stanislaw Dzulynski, Alec J. Smith
Journal of Sedimentary Research (SEPM)
... asymmetry can give rise to "convolutional balls" in sections at right angles to the direction of current flow (ten Haaf, 1956). End_Page 616...
1963
Generating Missing Unconventional Oilfield Data using a Generative Adversarial Imputation Network (GAIN)
Justin Andrews, Sheldon Gorell
Unconventional Resources Technology Conference (URTEC)
... convolutional or RELU networks, in this effort it was necessary to train the GAIN model using a hyperbolic tangent. When initially trained with RELU, the test...
2020
Application of Both Physics-Based and Data-Driven Techniques for Real-Time Screen-Out Prediction with High Frequency Data
Jianlei John Sun, Arvind Battula, Brandon Hruby, Paymon Hossaini
Unconventional Resources Technology Conference (URTEC)
..., we will introduce convolutional layers (i.e. CNN layers) to resolve this issue. Advanced CNN-LSTM Model Compared with the baseline model, CNN-LSTM...
2020
Improved Nanoscale Image-based Reservoir Characterization using Supervised Machine Learning
Shannon L. Eichmann, Poorna Srinivasan, Kevin Kenga, Mohammed Khan, Fabian Duque, Felix Oyarzabal, James Howard, Shawn Zhang
Unconventional Resources Technology Conference (URTEC)
..., the model is applied to all of the tiled images in the LgFOV image. In the IB method (Fig.1B), gray-scale values from all pixels in the image are used...
2021