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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
AVA attribute estimation from misaligned seismic gathers using U-Net
Ammar Ghanim, Ricard Durall, Norman Ettrich
International Meeting for Applied Geoscience and Energy (IMAGE)
... are mainly caused by inaccuracies in the velocity model used during migration. Aligning these reflections in seismic normal moveout (NMO) corrected...
2024
Geostatistical Integration of Crosswell Data for Carbonate Reservoir Modeling, Mcelroy Field, Texas
William M. Bashore, Robert T. Langan, Karla E. Tucker, Paul J. Griffith
Special Publications of SEPM
... that the convolutional model is valid later on in this study. Although the seismic processing involved in the imaging has not altered the apparent amplitude...
1995
Microsoft Word - image2023_final (10).docx
J0381057
International Meeting for Applied Geoscience and Energy (IMAGE)
... loss does not require labelled data and it can be computed in an unsupervised manner. Thus, the model is trained at the same time on: - unlabelled data...
Unknown
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
...-elastic modeling: comparison in time and frequency domain of vintage (left) and broadband (receiver deghosted) acquisition wavelet (right). Figure 12...
2013
Acoustic and Elastic Modeling of Seismic Time-Lapse Data from the Sleipner CO2 Storage Operation
R. J. Arts, M. Trani, R. A. Chadwick, O. Eiken, S. Dortland, L. G. H. van der Meer
AAPG Special Volumes
...Acoustic and Elastic Modeling of Seismic Time-Lapse Data from the Sleipner CO2 Storage Operation R. J. Arts, M. Trani, R. A. Chadwick, O. Eiken...
2009
Convolutional Neural Networks Forecasting for Unconventional Drilling Units in US Land
Francisco J. Parga Garcia, Jie Fang, Niven Shumaker
Unconventional Resources Technology Conference (URTEC)
...Convolutional Neural Networks Forecasting for Unconventional Drilling Units in US Land Francisco J. Parga Garcia, Jie Fang, Niven Shumaker URTeC...
2024
An Overview of Reservoir Seismic Stratigraphy, Frontmatter
Tom Wittick
North Texas Geological Society
... Acoustic impedance Reflection coefficients Wavelets The convolutional model III. Preparation of seismic data for stratigraphic work Data...
1992
Assessing properties of internal multiples for different geologies
Paul Ras, Mikhail Davydenko, Eric Verschuur
International Meeting for Applied Geoscience and Energy (IMAGE)
... acoustic travel-time based zero offset modeling Based on a 1D model of Vp and bulk density we can numerically compute the arrival times and Figure 2...
2022
Synthetic-data-driven deep learning method for elastic parameter inversion
Shuai Sun, Luanxiao Zhao, Huaizhen Chen, Zhiliang He, Jianhua Geng
International Meeting for Applied Geoscience and Energy (IMAGE)
... coefficient sequences; Finally, the Zoeppritz equation and the convolutional model is adopted to synthesize the AVO gather sets. The wavelets used...
2023
Physics-Assisted Transfer Learning for Production Prediction in Unconventional Reservoirs
J. Cornelio, S. Mohd Razak, A. Jahandideh, Y. Cho, H-H. Liu, R. Vaidya, B. Jafarpour
Unconventional Resources Technology Conference (URTEC)
... alone, i.e. π ππππ¬ = π πππππ ππππππ β π πππ . The model is trained in the same way as explained in Table 1. This time...
2021
Integrating U-net into full-waveform inversion for salt body building: A challenging case
Sixiu Liu, Abdullah Alali, Shijun Cheng, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... Alkhalifah, KAUST SUMMARY Full-waveform inversion (FWI) applied to regions with large salt bodies often fails without a good initial model, long offsets...
2024
An integrated workflow of improving the accuracy of first arrivals picking via deep learning
Yitao Pu, Bo Zhang, Chenglin Wei, Yingyu Xu, Hongfei Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning. Firstly, we compute a probability image by applying a model, which is trained using the Historically nested U-Net (HUnet), to the seismic shot...
2022
S-wave velocity prediction using a deep learning scheme and attention mechanism
Gang Feng, Wen-Qin Liu, Zhe Yang, Wei Yang, Jian-Hua Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... characterization and evaluation, fluid identification, and prestack inversion. At the same time, conventional S-wave velocity prediction methods exhibit...
2024
3D ultra high resolution seismic processing Β A case study from offshore USA
Bertrand Caselitz, Luca Limonta, Julien Oukili, Jonas Tegnander, Vicky Catterall
International Meeting for Applied Geoscience and Energy (IMAGE)
... reflections. The demultiple step, utilizing methods like convolutional 3D Surface Related Multiple Elimination (SRME) and 3D wave-equation multiple...
2024
Geophysics and neural networks: learning from computer vision
Mark Grujic, Liam Webb, Tom Carmichael
Petroleum Exploration Society of Australia (PESA)
... the ResNet-50 convolutional neural network to the GGMplus regional gravity model of Australia. This results in the quantitative characterisation of geophysical...
2019
Fine-Scale Lamination/Bedding, An Important Factor in Unconventional Reservoirs Hydrocarbon Productivity
Carlos Molinares-Blanco, D. Becerra-Rondon, H. Galvis-Portilla, D. Duarte
Unconventional Resources Technology Conference (URTEC)
...) and cherts (hard). The natural radioactivity of the rock was measured at every stratigraphic foot using a hand-held gamma-ray scintillometer model RS-120...
2022
Tops fingerprinting: Revolutionizing well log analysis with music recognition technology
Alan Lindsey, Morgan Cox, Aaron Hugen
International Meeting for Applied Geoscience and Energy (IMAGE)
... matching techniques, like those employed by apps such as Shazam, begin by converting audio into a spectrogram, which shows the frequency of sound over time...
2024
Joint inversion of multi-height gravity and vertical gradient via physics-informed neural network
Yinshuo Li, Wenkai Lu, Cao Song
International Meeting for Applied Geoscience and Energy (IMAGE)
...]. The inversion model is based on convolutional layers. Since the 3D convolution neural network is computationally heavy, this abstract proposed to reduce...
2024
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
Lithology and Fluid Seismic Determination for the Acae Area, Puerto Colon Oil Field, Colombia
F. H. GΓ³mez, J. P. Castagna
AsociaciΓ³n Colombiana de GeΓ³logos y Geofisicos del PetrΓ³leo (ACGGP)
... of matching model reflectivity from well logs to that contained in the seismic data; * Attribute analysis to predict petrophysical properties from seismic...
2004
-- no title --
user1
Search and Discovery.com
... Vijaykumar D. Raj1 1 Indira Gandhi National University Abstract 1. INTRODUCTION This research explores integrating real-time streaming platforms like...
Unknown
Seismic facies segmentation via mask-assisted transformer
Jinlong Huo, Naihao Liu, Zhiguo Wang, Yang Yang, Yijie Zhang, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... the feasibility of a time-series transformer that can be adept at making seismic facies segmentation, we first compare it with our previous DIFormer, a CNN model...
2024
ML-based facies classification on acoustic image logs from Brazilian presalt region
Nan You, Yunyue Elita Li, Arthur Cheng
International Meeting for Applied Geoscience and Energy (IMAGE)
... remains dominant in oil and gas industry, which is time-consuming, labor-intensive, subjective and non-repeatable. Thus, we propose to train an end...
2022
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)
... the fault interpretation time from weeks/days to days/hours. Multi-attribute analysis accelerates the process of high grading reservoir sweet spots...
2022
Drilling and Completion Anomaly Detection in Daily Reports by Deep Learning and Natural Language Processing Techniques
Hongbao Zhang, Yijin Zeng, Hongzhi Bao, Lulu Liao, Jian Song, Zaifu Huang, Xinjin Chen, Zhifa Wang, Yang Xu, Xin Jin
Unconventional Resources Technology Conference (URTEC)
...β, βgrappleβ and βbumperβ, which are all fishing related tools, that means the model has learned the semantics of words. Convolutional neural network (CNN...
2020