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The AAPG/Datapages Combined Publications Database
Showing 772 Results. Searched 200,357 documents.
What samples must seismic interpreters label for efficient machine learning?
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Murphy, and A. L. Yuille, 2017, DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs: IEEE...
2023
Resilience of the US Shale Production to the Collapse of Oil & Gas Prices
Philippe A. Charlez, Pierre Delfiner
Unconventional Resources Technology Conference (URTEC)
... connected during previous months s ≤ t. The right-hand side of Equation 1 is a convolution product of the functions n and f, and a completely general f...
2016
The emergence and impact of scientific machine learning in geophysical exploration
Umair bin Waheed
International Meeting for Applied Geoscience and Energy (IMAGE)
... of such systems. The key to FNOs’ operation lies in transforming the input data into the Fourier space, a frequency domain, where convolution operations can...
2023
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
How AVO has Been and Continues to be an Essential Tool in De-Risking the World High-Impact exploration Wells
Henk Kombrink, Henry Pettingill, Rocky Roden
GEO ExPro Magazine
..., volcanics, or carbonates (polarity or convolution issue) Diagenetic boundary or unconformity CO₂ or nitrogen Tuning effects Lateral change in lithology...
2025
Elements of High Constructive Deltaic Sedimentation, Lower Frio Formation, Brazoria County, Texas
Noel Tyler, Jong H. Han
GCAGS Transactions
.... Convolution of bedding is defined by mud layers; where mudstones are absent the unit is massive. Highly contorted intrasets within the contorted laminae...
1982
Background noise suppression for DAS-VSP data using attention-based deep image prior
Yang Cui, Umair bin Waheed, Yangkang Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Similarly, Wu et al. (2022) developed a framework for denoising multiscale DAS data, employing convolution operations across various data dimensions...
2024
Reservoir Characterisation Through Integrated AVO, AI and EI Inversion
Andy Furniss
Indonesian Petroleum Association
... of calibrating inversion results to real-world data. Seismic reflection data is an interface property in which the recorded data are a convolution...
2002
4D Seismic Bandwidth and Resolution Analysis for Reservoir Fluid-flow Model Applications
Rafael Souza, David Lumley, Jeffrey Shragge, Alessandra Davolio, Denis Schiozer
Petroleum Exploration Society of Australia (PESA)
... modelling results ( e.g. through finite difference solutions) to those generated by infinite frequency ray-tracing and convolution modelling results...
2019
From Chaos to Caves An Evolution of Seismic Karst Interpretation at the Vorwata Field
Riangguna Eloni, M.R. Husni Sahidu, Ilham Panggeleng, Christopher S. Birt, Ted Manning
Indonesian Petroleum Association
.... Since only a single convolution is applied, the process is a direct transform of the seismic data. This implies that the result will show what...
2016
Fluid distribution modeling impact on estimating CO2 saturation in Cranfield: A capillary pressure equilibrium approach with invertible neural networks
Sohini Dasgupta, Arnab Dhara, Mrinal K. Sen
International Meeting for Applied Geoscience and Energy (IMAGE)
.... The GLOW block’s core is a reversible unit featuring two affine coupling layers, comprising an act-norm step, an invertible 1x1 convolution layer...
2024
Understanding the Petroleum System of North Serayu Basin: An Integrated Approach from Geology,Geophysic, and Geochemistry
Dimas A. R. Prawiranegara, Fauzan Eka Saputra, Fisco Raseno, Bayu Harry Utomo, Alfin Sani, Agung W. Wibowo
Indonesian Petroleum Association
.... Halang Formation is characterized by graded bedding, mud clast, slump, and convolution associated with crevasse splay facies (Posamantier and Walker...
2016
Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site
Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... the segment itself, and then the convolution of the resulting data Direction Location Error (m) X 31.6 Y 70.8 Z 4.2 Omni 77.7 CONCLUSIONS We developed...
2024
Integrated Digital Outcrop Model (DOM) and Seismic Forward Modeling: Application to Enhance Subsurface Interpretation in Deltaic System of Kutai Basin, East Kalimantan
Dicky Harishidayat, Leon Taufani, Iqbal Fardiansyah, Ari Wibowo
Indonesian Petroleum Association
... (according to the dimension of outcrop data). Another seismic modeling approach is a simple and fast convolution method. The way it works is trying...
2017
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)
... from impedance contrasts between layers, ∗ is the convolution operator, and 𝑛 is added noise. Forward-modeled normal incidence traces from the base...
2018
A New Model for Pressure Transient Analysis of Fractured Horizontal Wells in Shale Gas Reservoirs With Continuum and Discrete Fracture Networks
Zhiming Chen, X W. Liao, H Zhang, Wei Yu, X D. Shen, Xiaoqing Shang, J L. Zhang, Hongyang Chu, Qingling Liu
Unconventional Resources Technology Conference (URTEC)
.... With the convolution method by Mukherjee et al. (1997), the well storage and skin effects are considered. Further, the pressure solution pwD (t D , S , CD...
2018
Implementation of Poisson Impedance Inversion to Characterize Hydrocarbon Reservoir at Field B, South Sumatera
Bagus Dwi Prasetyo, M. Syamsu Rosid, Junita Trivianty, Humbang Purba
Indonesian Petroleum Association
...-impedance, S-impedance and Density model. The convolution between model and wavelet will give Synthetic Seismic model, then we calculate residual to real...
2017
SPE 49025: Geostatistical Analysis of Petrophysical Data and Modeling of Fluid-Flow Effects in Carbonate Outcrops
James W. Jennings, Jr., Stephen C. Ruppel, W. Bruce Ward
West Texas Geological Society
... convolution (weight) function h = lag Jβ = Bessel function of order β Kα = modified Bessel function of order α r = range parameter s = frequency w...
1999
A Collaborative Study on DFIT Interpretation: Integrating Modeling, Field Data, and Analytical Techniques
Mark McClure, Vidya Bammidi, Craig Cipolla, Dave Cramer, Lucas Martin, Alexei Savitski, Dave Sobernheim, Kate Voller
Unconventional Resources Technology Conference (URTEC)
... response using a time-convolution integral of the Carter leakoff solution, accounting for the change in pressure over time. Fracture surface area...
2019
The Mismatch Between Outcrop Unconformity and Seismic Unconformity
Wolfgang Schlager
Indonesian Petroleum Association
... variations and a long seismic signal. The seismic convolution, as the final step in the modelling, inherits all the simplifications of the preceding steps...
1996
Quantitative seismic interpretations to detect biogenic gas accumulations: a case study from Qaidam Basin, China
Yexin Liu, Zhuoheng Chen, Liqun Wang, Yongshu Zhang, Zhiqiang Liu, Yanhua Shuai
CSPG Bulletin
... these derivatives. For example, because real seismic response is the convolution of the seismic wavelet with Earth’s reflectivity, it is mathematically...
2015
Shale Gas Sweet Spot Identification using Quantitative Seismic Interpretation (QSI) and Neural Network in Krishna-Godavari Basin, India
Soumen Deshmukh, Shrey Omer, P. S. Tomor, Harilal
Unconventional Resources Technology Conference (URTEC)
... Raghavapuram Formation. We go for multi-attribute analysis in the next step where stepwise linear regression analysis was performed. Convolution operator...
2020
New Data on Experimental Production of Sedimentary Structures
Stanislaw Dzulynski
Journal of Sedimentary Research (SEPM)
..., 1963). The experiments gave some insight into the origin of this particular type of convolution. FIG. 25. [Grey Scale] Base of an artificial turbidite...
1965
Applying Machine Learning Technologies in the Niobrara Formation, DJ Basin, to Quickly Produce an Integrated Structural and Stratigraphic Seismic Classification Volume Calibrated to Wells
Carolan Laudon, Jie Qi, Yin-Kai Wang
Unconventional Resources Technology Conference (URTEC)
... Deep Learning Convolution Neural Networks (CNN) with a conventional data pre-processing step and an image processing-based post processing approach...
2022
Improved UCR Development Decision Through Probabilistic Modeling with Convolutional Neural Network
Han Young Park, Yunhui Tan, Baosheng Liang, Yuguang Chen
Unconventional Resources Technology Conference (URTEC)
... update. The deconvolution neural network is composed of more than 10 hidden layers, using convolution, max pooling, up-sampling, batch normalization...
2022