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The AAPG/Datapages Combined Publications Database
Showing 735 Results. Searched 200,621 documents.
Pressure Build-Up Interpretation in Wells with Limited Entry Completions: Unexpected Pressure and Afterflow Response
Reinhard H. Lind
Indonesian Petroleum Association
... by wellbore storage. Sandface rate convolution can be used however if the afterflow has been measured. This analysis yields permeability and damage skin...
1990
Application of deghosting method based on Greens theorem in reservoir description of Bohai Bay
Shaoxuan Li, Jiangfeng Zheng, Lei Gao, Zhiping Zhao
International Meeting for Applied Geoscience and Energy (IMAGE)
... by matching subtraction, ππππ+1 represents the predicted wave field calculated in the ππ th iteration, β represents the convolution operation...
2022
Machine learning and seismic attributes for prospect identification and risking: An example from offshore Australia
Mohammed Farfour, Douglas Foster
International Meeting for Applied Geoscience and Energy (IMAGE)
... in these elastic properties of rocks that distinguish them from one another. However, the effect of the convolution with source wavelet makes seismic data...
2022
Utilization of Pressure Data Recorded While Perforating
Ronny Maas, Andon Suwito, Cholid Mas
Indonesian Petroleum Association
... small. More complex techniques such as Multiple Rate Analysis or Sandface Rate Convolution could also be used but do not offer "quick look...
1992
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)
... 2133377 7 Figure 5: A) Seismic data results from the convolution of the input wavelet with the reflectivity series, which is based upon...
2015
InvMixer An efficient deep neural network for seismic inversion
Tianyi Zhang, Mauricio Araya-Polo, Anshumali Shrivastava
International Meeting for Applied Geoscience and Energy (IMAGE)
... and the simplest 1Γ1 convolution kernel would generate 32GB (4k Γ 4k Γ 500 = 8Billion) output maps (intermediate representations) for a batch size...
2023
3D Modeling of Kerek Turbidite Sand Bodies Based on Outcrop Study in Kedungjati Area, Central Java: An Analog for Sandy Miocene Formation in Western Kendeng Zone
Fery Andika Cahyo, Iqbal Fardiansyah, Octavika Malda, Carolus Prasetyadi
Indonesian Petroleum Association
... of the current becoming less unable to distract semiplastic sediment. It has been accepted that convolution is the result of distraction of the current...
2011
Simultaneous inversion of tight sandstone reservoir fluid and brittleness index based on frequency-dependent AVO
Tianjun Lan, Zhaoyun Zong
International Meeting for Applied Geoscience and Energy (IMAGE)
... frequency-dependent AVO synchronous inversion method for tight sandstone reservoirs, pre-stack seismic records were synthesized using convolution models...
2023
Gravity Evidence for the Thinning of the Crust Around the North Sumatra Area
Wawan Gunawan A. Kadir, Sigit Sukmono, M. T. Zen, Lilik Hendrajaya, Djoko Santoso
Indonesian Petroleum Association
...). The density variation then can be derived by 3-D convolution of the vertical component of gravity anomaly and its deconvolution operator...
1996
Mitigating the effects of guided waves in OBN data for acoustic FWI using data reconstruction: A data example from the Yggdrasil area
M. A. H. Zuberi, E. Cho, T. Seher, R. Myklebust
International Meeting for Applied Geoscience and Energy (IMAGE)
...e right-hand side of equation (4) is invariant with respect to a prior convolution of π π π with a scalar complex function, however, the true sourc...
2023
Application of transfer learning and multi-scale feature fusion in intelligent suppression of seismic random noise
Xin Xu, Wuyang Yang, Xinjian Wei, Haishan Li, Nang Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... and Multi-Scale Feature Fusion in Intelligent Suppression of Seismic Random Noise normalization between convolution and ReLU operations. The final layer...
2024
Deep neural networks for 1D impedance inversion
Vladimir Puzyrev, Anton Egorov, Anastasia Pirogova, Chris Elders, Claus Otto
Petroleum Exploration Society of Australia (PESA)
... that apply convolution operation between a kernel and the data. Among the recent applications of CNNs in geophysical inverse problems we can mention...
2019
A New Approach of Thin Bed Analysis Using Innovative LWD Imaging to Improve Net-Pay
Restio Brata, Mario Petricola, Hengky NG, Rahmi Kemalawati, Budiyono, Yus Willian, Bambang Pujasmadi, Aditi Pal
Indonesian Petroleum Association
... resistivity curve (SRES) acquired from LWD image data is used to enhance the standard logs resolution using SHARP inversion / convolution technique...
2016
Fine characterization technique and its application to Neogene composite channel sand bodies in Bohai oilfield
Shengqiang Zhang, Zhijun Zhang, Yu He, Xun Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
...-impedance mudstone (P-wave velocity is 2500 m/s, density is 2180 kg/m3) respectively. According to the model parameters and based on the convolution model...
2024
Coloured Seismic Inversion, a Simple, Fast and Cost Effective Way of Inverting Seismic Data: Examples from Clastic and Carbonate Reservoirs, Indonesia
Keith Maynard, Paulus Allo, Phill Houghton
Indonesian Petroleum Association
... on the original input data. Figure 5. QC of the inversion process. SCI produces a convolution operator that optimally inverts the data and honours all...
2003
Geophysical investigation of mine waste in the King River Delta, Macquarie Harbour, Tasmania
Matthew J. Cracknell, Sibele C. Nascimento, Wei Xuen Heng, Anita Parbhakar-Fox, Thomas A. Schaap
Petroleum Exploration Society of Australia (PESA)
... EM38 data points were manually removed and after interpolation grids were smoothed using a square 5 x 5 cell mean convolution filter. Two traverses...
2019
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)
... applied for the Kockatea Shale Formation using the convolution operator. The correlation was approximately 0.87 with a five point convolutional operator...
2017
Using machine learning to interpret 3D airborne electromagnetic inversions
Eldad Haber, Jen Fohring, Mike McMillan, Justin Granek
Petroleum Exploration Society of Australia (PESA)
.... The parameters, ΞΈ, are made from convolution kernels, K, biases, b and linear weights, W. AEGC 2019: From Data to Discovery β Perth, Australia...
2019
Interbed multiple attenuation with an automatic spatially adaptive thresholding operator: A case study in the North Louisiana Salt Basin
Joel Latchman, Rika Burr, Jonathan Woolley, Anna Nolan, Bin Gong, Jinming Zhu, Fang Yuan
International Meeting for Applied Geoscience and Energy (IMAGE)
... including SRME (surface related multiple elimination). SRME predicts surface related multiples by convolution of seismic data with itself and removes...
2024
Automated machine learning first-break picking in the Sichuan Basin Β A case study
Jianfa Wu, Xuewen Shi, Qiyong Gou, Ersi Xu, Dongjun Zhang, Dingxue Wang, Phil Bilsby, Qing Zhou, Rong Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... separable convolution for semantic image segmentation: Proceedings of the European Conference on Computer Vision (ECCV), 11211, 833β851. Springer, doi...
2024
Multi-information intelligent decision process for first-break picking
Fei Luo, Lanlan Yan
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and P. Shi, 2018, Seismic waveform classification and first-break picking using convolution neural networks: IEEE Geoscience and Remote Sensing Letters...
2024
Iterative 3D deterministic and data-driven multiple attenuation for deep-water OBN in the Campos Basin
Thais Sales, Frederico Xavier de Melo, Joel Monteiro, Dmitri Skorinski, Shady Attia, Mohammad Ghazey, Marcella Braga, Etory Sperandio, AndrΓ© Ferreira, Moacyr Bezerra, Thiago Costa
International Meeting for Applied Geoscience and Energy (IMAGE)
...) is predicted by a multi-dimensional search and convolution between a towed streamer data on the source side π· ππ and the OBN on the receiver side...
2024
Pressure and Rate-transient Behavior of a Horizontal Well Intercepting Multiple Vertical Fractures within a Fractal Reservoir
Alex R. Valdes-Perez, Leif Larsen, Thomas A. Blasingame
Unconventional Resources Technology Conference (URTEC)
... principle (i.e., convolution) to obtain the constant-pressure solutions of the models presented in this work. This principle relates the constant rate...
2018
Unveiling and Imaging Karst Through Refined Wavefield Separation
Riaz Alai, M Afiq B Mokhtar, Yonghe Guo, Pongga Wardaya, Jun Wang , Rizki Krishna Pratama, Haryono Haryanto
Indonesian Petroleum Association
... multiple model through convolutions of reflections only. Figure 4c showcases the predicted multiple model through convolution of only diffractions. Here...
2018
The Hybrid Theory-Guided Data Science-Based Method: Unlocking the Full Potential of Seismic Reservoirs Characterization
Rino Saputra, Akash Mathur, Awal Mandong
Indonesian Petroleum Association
... part of CNN is to have convolution and pooling process as shown in Figure 2. 4 Figure 2 - Schematic of convolutional neural network. The process...
2023