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Keywords: workflow
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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4076489
... a practical workflow capable of introducing stochasticity into convolutional neural network (CNN) based 3D rock property estimation from angle-stack seismic and sparse wells. The workflow consists of four major steps, including (i) building a large-scale structural model (LSSM), (ii) generating prior property...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4082059
... a sophisticated workflow for processing the urban DAS data, including bandpass filtering, removing bad traces, amplitude scaling, and local F-K filtering (thresholding and sector). Considering the signal leakage after these processing steps, we propose to apply a recently developed signal-retrieving approach...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4089186
... dispersion inversion workflow. Firstly, we use parameters with high sensitivity to create a small-scale dataset to train a neural network with a residual structure. By imposing monotonicity constraints on the model output, we achieve rapid and effective simulation of dispersion using less than 5% of the data...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100592
... production control applied geoscience & energy 10 data decision latency geology workflow sustainable development data workflow methodology exploration geophysicist reduction application sustainability information management data mining climate change fiber optic american association...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100687
... reservoir characterization seismic record iteration workflow seismic data processing module geology noise applied geoscience & energy 10 sequence frequency geologist suppression amplitude american association attenuation sequence Self-parametrizing seismic data processing modules...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100715
... Conventional marine seismic surveys lack near offset information, resulting in lower-quality imaging in the shallow subsurface. We present a deep learning workflow to reconstruct near offsets, which utilizes field data collected with source-over-cable acquisition geometry as training data. First...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100792
... with the target reservoir interval. This case study proposes an iterative data-driven and deterministic process designed to attenuate the strong and complex surface multiples directly interfering with the reservoir interval. The workflow comprises of using two different prediction approaches followed by a multi...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100817
... This paper presents a machine learning workflow to automatically determine the optimal thresholding values in the standard multi-stage iterative source separation with priors (MS-ISSP) for seismic deblending. From the frequency-wavenumber (FK) transform of seismic data with interference noise...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101160
... This paper describes the final workflow in a comprehensive quantitative interpretation (QI) study aimed to characterize four formations in Alberta, Canada for both hydrocarbon production and sequestration of CO2. The study began with a deterministic approach, including an AVO inversion...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101439
... methods. To solve this problem, we propose a deep-learning workflow for quickly retrieving body wave events from massive ambient noise datasets. We feed relevant data to a convolutional autoencoder classifier (CAC) and directly determine whether the segment contains body wave events after training...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101544
... Advanced 3D geological modeling and automated stratigraphic correlation improve our understanding of the geology at a basin scale. The process of correlating geophysical well logs is sped up using the Dynamic Time Warping (DTW) algorithm. The workflow enables the efficient analysis of extensive...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4089738
... mineralogy log analysis composition exploration geophysicist petroleum geologist model prediction american association algorithm applied geoscience & energy 10 model training architecture hybrid machine workflow A hybrid machine learning model for improving regression of mineral...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4090464
..., and variations in coverage near the platform due to expanded production infrastructure. The evolving 4D program also utilized dual-component streamer for one survey which added additional complexity in the 4D processing workflow. The study investigates these issues and details the development of advanced 4D...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092423
..., we analyze post-stack 3D seismic data in Decatur (Illinois, USA) for fault detection efforts on the Precambrian rhyolitic basement. We examined attributes, ant tracking, and fault enhancements workflows to determine which attributes best image faults. We found cosine of instantaneous phase, coherence...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092706
..., and SRME and pattern recognition subtraction approach to remove the multiple, which are the high fidelity denoising methods. And then we design the complete processing and imaging workflow. The methods and workflow have been applied on different data, and get the satisfactory results. geology near...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093093
... exxonmobil technology company geologist trace pair exploration geophysicist acquisition reservoir characterization trace count american association seismic repeatability auxiliary survey helgerud seismic trace primary survey workflow nrm Enhancing 4D seismic repeatability by utilizing more...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093188
... balancing artificial intelligence geological subdiscipline geology amplitude machine learning marfurt workflow frequency exploration geophysicist applied geoscience & energy 10 dataset reservoir characterization interpretation stratigraphic edge american association post-migration...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093345
... technology could be an efficient and effective method for residual oil prediction. However, in practical application, the prediction results based on seismic attributes cannot match well with production data. This paper proposes a new residual oil prediction workflow based on Principal Component Analysis...

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