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Keywords: prediction
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Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091022
... Micro-fractures in shale gas reservoirs are crucial for structural interpretation and exploration. Accurate prediction relies on high-resolution seismic data, but conventional methods struggle to identify fractures < 20m. This study integrates high-resolution 3D pre-stack depth migration...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094649
... Strike-slip fault is well-developed in Tarim basin, faults together with karst caves developed along the faults in deeply buried Ordovician carbonate is main reservoir in this area. Accurate prediction of these faults and karst caves is crucial for petroleum exploration. Different seismic...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4075878
... the models efficacy in accurately predicting CPT curve trends, albeit with some amplitude discrepancies. geology geological subdiscipline cpt curve artificial intelligence geological unit applied geoscience & energy 10 soil strength machine learning uhr data exploration geophysicist...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4083103
... in building subsurface structures. When deep learning fault prediction is used on multi-offset-angle stacks, it can help with seismic interpretation by displaying distinct fault features along each offset-angle stack. Its still unclear, though, how to combine the outcomes of each prediction to produce...
Proceedings Papers
Wen Pan, Harry Rynja, Ramakrishna Dandu, Zaifeng Liu, Shuzhen Ye, Antonio De Lilla, Jay Chen, Jeremy Vila
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4086530
... learning geologist artificial intelligence deep learning reservoir characterization convolutional neural network economic geology automatic migrated gather processing seismic gather american association exploration geophysicist prediction amplitude avc petroleum geology geological...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100766
... In this research, we combine data-driven and physics-driven strategies to train a physics-informed neural network for the simulation of electromagnetic wave propagation. By leveraging the constraints from the partial differential equation, the pre-trained network is able to efficiently predict...
Proceedings Papers
Thais Sales, Frederico Xavier de Melo, Joel Monteiro, Dmitri Skorinski, Shady Attia, Mohammad Ghazey, Marcella Braga, Etory Sperandio, André Ferreira, Moacyr Bezerra, Thiago Costa
Publisher: Society of Exploration Geophysicists
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
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100860
... is evaluated through testing on both synthetic and real datasets, notably including seismic angle gathers from the Volve dataset. geologist reservoir characterization misaligned seismic gather deep learning machine learning prediction artificial intelligence economic geology exploration...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101216
... for mitigating multiples in OBN
surveys. Among these methods are convolutional techniques
such as Model-based Water-layer Demultiple (MWD, Wang
et al. 2011) and Surface Related Multiple Elimination
(SRME - Verschuur et al, 1992). While adept at predicting
complex multiples, these techniques mandate supplementary...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101553
... machine learning and deep learning algorithms to predict missing log values from other commonly available logs, such as resistivity, density, gamma ray, neutron porosity, photoelectric factor, etc. Linear regression, Principal Component Regression (PCR), Partial Least Squares Regression (PLSR), random...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101683
... exploration geophysicist volcanic sill prediction artificial intelligence economic geology american association interactive Solimões Basin Onshore Brazil Volcanic Intrusions Characterization Using an Interactive, Data-Centric Deep Leaning Approach Ana Krueger* and Scotty Salamoff, Bluware Corporation...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4089738
... to solve the regression problem. The conventional and geochemical logs from the Horn River Basin, in western Canada, are selected for the model training and validation. Monte Carlo dropout (MCD) is added to model training to decrease the sensitivity and increase repeatability of model prediction...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091087
... are small in seismic reflection characteristics, so it is difficult to predict roof lithology. We systematically analyze the lithology of the coalbed methane reservoir roof, fully use the three-dimensional seismic data information, combines geology and well logging information, and based on fine...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091322
... Shear wave (S-wave) velocity is an essential parameter in reservoir characterization and evaluation, fluid identification, and prestack inversion. At the same time, conventional S-wave velocity prediction methods exhibit several limitations, such as poor model generalization, inadequate...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091901
... and difficulty in seismic reservoir prediction, which directly affects the effective development of gas reservoirs. However, the deep multiple waves in S Basin have multiple origin layers, and the multiple wave fields are mixed with each other which leads to strong multiple solutions of model prediction...
Proceedings Papers
Anis Seksaf, Boris Kostic, Chloé Château, Daniel Clay, Kamel Tamene, Meriem Bertouche, Jan Van Der Wal, Raja Ramalingam, Abd El-Aziz Sabry, Boland Ghadeer Taleb, Chen Chao
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092128
... wireline and/or LWD tools that provide a quantitative measurement. A computer can be programmed to implement algorithms that output predictions in a quantitative way, providing information that could be used to help solve problems, such as prediction of geological parameter in uncored wells. Before machine...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092987
... weight in the ML models decision-making process for each facies class, and (2) Increase model transparency by moving beyond the black box nature of ML, allowing geoscientists to interpret the rationale behind the models predictions. geology facies classification geologist rock type machine...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093199
... We introduce a fully 3D, deep learning-based approach for the joint inversion of time-lapse surface gravity and seismic data for reconstructing subsurface density and velocity models. The target application of this proposed inversion approach is the prediction of subsurface CO 2 plumes. Our...
Proceedings Papers
Xiaohuan Yan, Jianxiong Dong, Zhiwen Niu, Dongzhou Liu, Aiquan Chen, Aliyeva Gunay, Jinglin Cui, Yajie Wang, Jiangong Chen
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093345
... In mature oilfield with high water cut, dynamic modeling is usually used to predict residual oil, which takes more time and still retains uncertainty in areas without wells. For mature oilfield that have accomplished seismic acquisition in the later development stage, seismic attribute...
Proceedings Papers
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093283
... Fault-controlled fracture-cavity body is a new reservoir type since discovered in Tarim basin, China. However, fracture-cavity body is the main hydrocarbon storage space. Conventional methods including seismic inversion cant predict the internal small-scale reservoir structure of fracture...
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