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The AAPG/Datapages Combined Publications Database
Showing 22,440 Results. Searched 195,387 documents.
Post Migration Processing of Seismic Data
Dashuki Mohd.
Geological Society of Malaysia (GSM)
... or multiples. The basis for deconvolution is the convolutional model (Robinson, 1984). In the convolutional model, a seismic trace is viewed...
1994
Abstract: Recovering Low Frequencies for Impedance Inversion by Frequency Domain Deconvolution; #90224 (2015)
Sina Esmaeili and Gary Frank
Search and Discovery.com
... reflectivity. We start by reintroducing the convolutional model for normal incident seismograms and then show how reflectivity can be estimated...
2015
Machine-learning Facilitates Prediction of Geomechanical Properties Directly From SEM Images in Unconventional Plays
Heehwan Yang, Deepak Devegowda, Mark Curtis, Chandra Rai
Unconventional Resources Technology Conference (URTEC)
... non-parametric regression resulting in a unified, easily generalizable model that performs robustly when tested against previously unseen images. Our...
2023
Physics-Constrained Deep Learning for Production Forecast in Tight Reservoirs
Nguyen T. Le, Roman J. Shor, Zhuoheng Chen
Unconventional Resources Technology Conference (URTEC)
... patterns emerges in different time frames. In this paper, the ability of a purely data driven deep learning model to handle non-stationary production...
2021
Introduction to Deep Learning: Part I
Hongbo Zhou, Lasse Amundsen, Martin Landrø
GEO ExPro Magazine
... of some objective or loss function on a training set of examples. Loss functions express the misfit between the predictions of the model being...
2017
Applying deep learning for identifying bioturbation from core photographs
Eric Timmer, Calla Knudson, and Murray Gingras
AAPG Bulletin
... to the convolutional layers to reduce model overfitting (Srivastava et al., 2014). Overfitting occurs when the neural network memorizes the data set...
2021
Modeling Distributed Fiber Optic Sensor Signals Using Computational Rock Mechanics
Christopher S. Sherman, Robert J. Mellors, Joseph P. Morris, Frederick J. Ryerson
Unconventional Resources Technology Conference (URTEC)
... with the 3D thermo-hydro-mechanical (THM) code GEOS. GEOS is a flexible and well-validated code designed to model subsurface fractures. It has been used...
2018
Marchenko redatuming and seismic interferometry based internal multiple prediction for salt structures
Zhiwei Gu, Jianhua Geng, Ru-Shan Wu
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the background velocity model, the recorded data can be accurately redatumed to a target area by solving coupled Marchenko equations. Then, an image without...
2023
Fracture Diagnostics in Naturally Fractured Formations: An Efficient Geomechanical Microseismic Inversion Model
Meng Cao, Mukul M. Sharma
Unconventional Resources Technology Conference (URTEC)
...Fracture Diagnostics in Naturally Fractured Formations: An Efficient Geomechanical Microseismic Inversion Model Meng Cao, Mukul M. Sharma URTeC...
2022
Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)
Peng Cheng and Gary F. Margrave
Search and Discovery.com
... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...
2013
Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)
Peng Cheng and Gary F. Margrave
Search and Discovery.com
... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...
2013
Generating geophysical models from text for constructing the dataset of learning-based MT inversion
Yutong Li, Hongyu Zhou, Rui Guo, Maokun Li, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... of text embedding is the bag-of-words model, where each extracted key point is quantized into one of the visual words, and each image is represented...
2023
Abstract: Fast and Accurate Impedance Inversion by Well-Log Calibration; #90171 (2013)
Igor B. Morozov and Jinfeng Ma
Search and Discovery.com
...) the convolutional equation; 2) time-depth constraints from the seismic data, 3) background low-frequency model from the logs or seismic/geological interpretation...
2013
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)
... and improve geological model style selection in the AI system. Pratt, D.A., McKenzie, K.B., White, A.S., Foss, C.A., Shamin, A. and Shi, Z., 2001 A user...
2019
Abstracts: Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping; #90173 (2015)
Roberto H. Herrera and Mirko van der Baan
Search and Discovery.com
... given as a convolution between the propagating wavelet and the reflectivity series of the earth and normally it is assumed that a white noise is added...
2015
Fault MLReal: A fault delineation study for the Decatur CO2 field data using neural network predicted passive seismic locations
Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah, Youzuo Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... for mitigating climate change by reducing greenhouse gas emissions, particularly CO2, from industrial and energy-related sources (White et al., 2016...
2023
Abstract: Innovative QCs for More Effective 4D Processing; #90187 (2014)
Cyril Saint Andre, Benoit Blanco, Christian Hubans, and Benoit Paternoster
Search and Discovery.com
... problem in the framework of the 1D convolutional model. This attribute and the following developments were initially detailed by Cantillo (2012) [3...
2014
Abstract: Deterministic Marine Deghosting: Tutorial and Recent Advances; #90224 (2015)
Mike J. Perz and Hassan Masoomzadeh
Search and Discovery.com
... violates the convolutional model that forms the cornerstone of the derivation of our deterministic deghosting operator, and would lead to unacceptable...
2015
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
..., coherence attributes are displayed using a black and white color-bar with black representing discontinuities. Often times the coherence attribute...
2016
Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling
Wen Pan, Honggeun Jo, Javier E. Santos, Carlos Torres-Verdín, and Michael J. Pyrcz
AAPG Bulletin
... represent shaly facies with low porosity. (A) The truth model and (B) one model realization calculated with the cookie-cutter approach are compared. White...
2022
Assessment of Micro-Fracture Density using Combined Interpretation of NMR Relaxometry and Electromagnetic Logs
Lu Chi, Marcus, Elliot, Zoya Heidari, Mark Everett
Unconventional Resources Technology Conference (URTEC)
... NMR analytical model for fracture-pore coupling to account for micro-fractures in the rock. This model was verified through NMR numerical simulations...
2014
Robust Event Recognition in Real-Time Hydraulic Fracturing Data for Live Reporting and Analysis
Samid Hoda, Jessica Iriarte
Unconventional Resources Technology Conference (URTEC)
..., transparent (white box), and extremely performant model that easily accommodates operating constraints. In turn, this enables real-time reporting...
2020
Abstract: Structural evolution and deformation of the Caledonian Highlands, New Brunswick: a preliminary model
Adrian F. Park, Andrew C. Parmenter, Sandra M. Barr, Chris E. White, Peter H. Reynolds
Atlantic Geology
..., New Brunswick: a preliminary model Adrian F. Park 1 , Andrew C. Parmenter 1 , Sandra M. Barr 2 , Chris E. White 3 , and Peter H. Reynolds 4 1...
2009
Seismic reservoir characterization of the Strawn Group, northern part of the Eastern Shelf, King County, North-Central Texas: Case study
Osareni C. Ogiesoba
International Meeting for Applied Geoscience and Energy (IMAGE)
... > 15 Hz are filtered out. The inversion process is based on the convolutional model expressed as Using the same procedure, I predicted the Vp/Vs...
2023
Deep Learning for Quantitative Hydraulic Fracture Profiling from Fiber Optic Measurements
Weichang Li, Han Lu, Yuchen Jin, Frode Hveding
Unconventional Resources Technology Conference (URTEC)
... to the synced pump data independently; and II) a convolutional LSTM (long short-term memory) sequence learning model maps time segments...
2021