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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,685 documents.
Automated fault surfaces extraction from 3D fault imaging volume
Nam Nguyen, Alejandro Jaramillo
International Meeting for Applied Geoscience and Energy (IMAGE)
... be integrated into a geological model for identification of hydrocarbon bearing formations, improving structural trapping definition, and preventing drilling...
2022
This thin section doesnt exist: On the generation of synthetic petrographic datasets
Ivan Ferreira, Luis Ochoa, Ardiansyah Koeshidayatullah
International Meeting for Applied Geoscience and Energy (IMAGE)
... model, Generative Adversarial Networks (GANs), in the context of a petrographic dataset are presented. The StyleGAN2 architecture was selected to train...
2022
Assessing properties of internal multiples for different geologies
Paul Ras, Mikhail Davydenko, Eric Verschuur
International Meeting for Applied Geoscience and Energy (IMAGE)
... attenuation methods. Introduction When modeling data from a well log it is relatively simple to compute a primary reflection series via the convolutional...
2022
Deep Earth: Leveraging neural networks for seismic exploration objectives
Tariq Alkhalifah, Claire Birnie, Randy Harsuko, Hanchen Wang, Oleg Ovcharenko
International Meeting for Applied Geoscience and Energy (IMAGE)
... cost of training, availability of training samples, the applicability of the trained model to real data (generalization), and more importantly...
2022
A method of relative impedance holography-inversion based on reflection coefficient inversion
Jiangfeng Zheng, Jialin Sun, Zongyu Zhen, Shaoxuan Li
International Meeting for Applied Geoscience and Energy (IMAGE)
...(a) is the reservoir model, (b) is the reflectivity of model, (c) is the trace integration of reflection coefficient, (d) is the trace integration of actual...
2022
Time-lapse attenuation variations during CO2 injection using DAS VSP data from the CaMI Field Research Station, Alberta, Canada
Yichuan Wang, Donald C. Lawton
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional model for seismic reflection signal is A(t, f ) = S ( f ) R (t, f ) F (t, f ) G (t ) , (1) where A(t, f) is the time-frequency variant...
2022
Solving seismic inverse problems by an unsupervised hybrid machine-learning approach
Mrinal K. Sen, Arnab Dhara
International Meeting for Applied Geoscience and Energy (IMAGE)
... carried out by iterative data fitting in which the model updates are evaluated by solving the corresponding physics-based forward modeling. Local...
2022
Rapid Play Evaluation through AI Interpretation
Jacob Smith, Peter Szafian
Australian Petroleum Production & Exploration Association (APPEA) Journal
... identifying faults, we must focus on how to transfer this complexity into a useful interpretation and then into our static model. In these examples we can...
2023
Geobody-oriented interpretable velocity fusion modeling in depth domain with seismic facies informed segmentation method
Meng Li, Qingcai Zeng, Hao Shou, Nan Qin, Chunming Wang, Tongsheng Zeng
International Meeting for Applied Geoscience and Energy (IMAGE)
... velocity model. Introduction Ultra-deep reservoirs, complex lithological reservoirs and subtle reservoirs have become key exploration targets...
2023
Spatial statistical analysis and geomodelling of banana holes using point patterns and generative adversarial networks
Rayan Kanfar, Charles Breithaupt, Tapan Mukerji
International Meeting for Applied Geoscience and Energy (IMAGE)
... to successfully model complex geologic spatial patterns (Zhang et al. 2019; Song et al. 2021; 2022). GANs is an unsupervised learning algorithm...
2023
Improving Wolfcamp B3 Drilling and Production by Integrating Core, Mud logs, Electrical Logs, Seismic Inversion, Microseismic and Drilling Data
Hongzhuan Ye, Lowell Waite, Robert Meek
Unconventional Resources Technology Conference (URTEC)
... seismic inversion. Methods and Workflow Pre-stack seismic inversion attempts to remove the convolutional effects of the wavelet on the reflectivity...
2015
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)
... inversion accuracy. Through model testing, we confirm that Deep Learning (DL) networks have the ability to tolerate labels’ defects, which we name...
2023
Demultiple for Wide-Tow Broadband Acquisition in a Shallow Water Environment: A Case Study from the NW Shelf, Australia
Mike Hartley, Shuo Ji, Alex Browne
Petroleum Exploration Society of Australia (PESA)
... Water Environment … Hartley & Ji et al. with the data to create a model of the multiples. This process is generally very effective at removing short...
2016
Rock-physics based time-lapse inversion in Delivery4D: synthetic feasibility study for CO2CRC Otway Project
Stanislav Glubokokvskikh, James Gunning, Tess Dance, Roman Pevzner, Dmitry Popik, Christian Proud
Petroleum Exploration Society of Australia (PESA)
... seismic AVO-inversion based on convolutional model of seismic trace. A subsurface model consists of 1D ‘layered cakes’, inverted independently...
2018
Prestack Seismic Data Inversion for Shale Gas Reservoir Characterization in China
Gang Yu, Yusheng Zhang, Ximing Wang, Xing Liang, Uwe Strecker, Maggie Smith
Unconventional Resources Technology Conference (URTEC)
...) the model is parallel vertical cracks (Thomsen, 1988). P waves travel with different velocities depending on their travel path with respect...
2016
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
Efficient subsurface carbon storage modeling with Fourier neural operator
Suraj Pawar, Pandu Devarakota, Faruk O. Alpak, Jeroen Snippe, Detlef Hohl
International Meeting for Applied Geoscience and Energy (IMAGE)
... accurately model the complex interplay of buoyancy, viscous, and capillary forces for large subsurface CO2 containers over long forecast periods. However...
2023
Enabling grassroots digital transformation with a Python-Excel ML toolkit
Andrew C. Silver
International Meeting for Applied Geoscience and Energy (IMAGE)
... regression, support-vector machine (SVM), decision tree, random forest, boosted tree (including AdaBoost and XGBoost), and convolutional neural network (CNN...
2023
Survey merging using CycleGAN and patchy seismic images
Chaoshun Hu, Fan Jiang, Konstantin Osypov, Julianna Toms
International Meeting for Applied Geoscience and Energy (IMAGE)
... Resnet convolutional neural network. Discriminator is using the VGG16 pretrained model. Loss function is based on the SRGAN perceptional content loss...
2023
Unlocking hidden potential in shallow water Gulf of Mexico legacy data for carbon capture and storage exploration
Rachel Collings, Igor Marino, Adriana Arroyo Acosta, Jack Kinkead, Hugo Medel, Trong Tang, Gabriela Suarez, Brett Sellers
International Meeting for Applied Geoscience and Energy (IMAGE)
... deployed a comprehensive wavelet processing workflow. To obtain a high-resolution velocity model, a seismic inversion workflow was implemented...
2024
Time-lapse seismic joint inversion based on Zoeppritz equation in depth domain
Wenjin Li, Jingye Li, Lei Han, Zhen Liao
International Meeting for Applied Geoscience and Energy (IMAGE)
... records can be represented by convolutional models as： d = W * r , where, W represents time-domain seismic wavelets， thus the depth migration can...
2024
Wave-equation based inversion for carbonate reservoir characterization in Kuwait
Rao Narhari, Ahmad Al-Sabari, Afrah Al-Ajmi, Justin Ugbo, Jeremy Harris, Gerard Soto, Panos Doulgeris
International Meeting for Applied Geoscience and Energy (IMAGE)
... on the convolutional model synthetic compared to the seismic gather. This is because transmission is neglected in this type of modelling and in some cases...
2024
Fluids characterization using cuttings extracts analyzed by gel permeation chromatography
G. Eric Michael, Julian Moore, Lloyd Jones, Alexandra Cely, Gulnar Yerkinkyzy, Tao Yang
International Meeting for Applied Geoscience and Energy (IMAGE)
... To build models with the ability to use cuttings extracted oil, model prediction is performed on topped dead oils and oil extracted from core. Figure 2...
2024
Revisiting Brown Fields: A lookback on unforeseen opportunities in a late life field
Hifzhul ‘Arif Ahmad Munif, Ismail Marzuki Gazali, Hairul Hafez Abu Bakar, Alfian Termizi, Wan Mohd Nazrullah Mohamed Zin, Nur Syakirah Muhammad Yusoff, Zainal Arifin Suwito, Chin Tee Ang
International Meeting for Applied Geoscience and Energy (IMAGE)
... a major challenge back then due to the mismatch between the results from the Dynamic Model versus the actual well result, leading to 2 wells being...
2024
A Quantitative Application of Seismic Inversion and Multi-Attribute Analysis based on Rock Physics Linear Relationships to identify High Total Organic Carbon Shale - A Case Study from the Perth Basin, Western Australia
Y. Altowairqi, R. Rezaee, B. Evans, M. Urosevic
Unconventional Resources Technology Conference (URTEC)
...-attribute analysis is applied to predict TOC from a model-based inversion and used the AI as external attribute. A total of eight seismic attributes were...
2017