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Organization of the PetroBowl Regional Qualifiers are planned collaboratively with SPE International and the Regional Directors who operate within each PetroBowl Super Region. Each "super-region" will select up to five teams to represent them at the PetroBowl Championship. In addition to the teams from each region, the first and second place Chapters from the previous year's Championship are also invited to defend their title. A total of 32 places are available for the Championship. Regional Qualifiers will be a mix of physical and virtual events depending on suitability for the region.
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More than 1,000 mound structures have been mapped in shallow marine sediments at the Cretaceous ย Paleogene boundary in the Rubย Al-Khali of Saudi Arabia. Mapping utilized 3D reflection seismic data in a 37,000 square kilometer study area. No wells penetrate the mounds themselves. The mounds are at a present-day subsurface depth of approximately 1 km and are convex-up with diameters of 200 ย 400 m and elevation of 10 ย 15 m. The mounds display spatial self-organization with a mean separation of approximately 3.75 km. Comparison with mound populations in other study areas with known spatial distribution statistics and modes of origin indicates that the mound population in this study has the characteristics of fluid escape structures, and they are interpreted here as mud volcanoes. The observation that the mounds occur at the Cretaceous ย Paleogene boundary demands a singular trigger at that moment in time. We develop a model of seismic energy ย related mud volcanism mechanism including the Chicxulub asteroid impact as the energy source that accounts for the timing of the mound structures, and a drainage cell model based on producing water wells that provides a mechanism for spatial self-organization into a regular pattern.
- Europe (1.00)
- Asia > Middle East > Saudi Arabia (1.00)
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- Phanerozoic > Cenozoic > Paleogene > Paleocene (0.67)
- Phanerozoic > Mesozoic > Cretaceous > Upper Cretaceous (0.46)
- Geology > Sedimentary Geology > Depositional Environment > Marine Environment (1.00)
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- Geology > Geological Subdiscipline > Volcanology (1.00)
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- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Seismic Interpretation > Well Tie (0.46)
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- North America > Canada > Saskatchewan > Prairie Evaporite Basin (0.99)
- Europe > Norway > North Sea > Central North Sea > Norwegian-Danish Basin (0.99)
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- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Exploration, development, structural geology (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Artificial intelligence (1.00)
Get to Know: Regional Directors with Hesham Zubari In this episode of Get To Know, 2023 SPE Middle East and North Africa Regional Director Hesham Zubari shares his take on where the oil and gas industry is headed, as well as advice for young professionals looking to progress into leadership. We also discuss his role as Chief Technology Officer at Dragon Oil. Take Yourself to Greater Depths with SPE Online Education Make this your year to remain current on the latest research, tools, and techniques in your professional field with SPE Online Education. Whether you prefer live or on-demand training, join our industry experts as they explore solutions to real problems and discuss trending topics. Technical Papers and Libraries Your SPE professional membership gives you 10 FREE SPE papers annually along with deeply discounted pricing on SPE content found on .
DAS microseismic reflection imaging for hydraulic fracture and fault lineament characterization
Ma, Yuanyuan (Rice University) | Ajo-Franklin, Jonathan (Rice University, Lawrence Berkeley National Laboratory) | Nayak, Avinash (Lawrence Berkeley National Laboratory) | Correa, Julia (Lawrence Berkeley National Laboratory) | Kerr, Erich (SM Energy)
This study presents a novel workflow designed for migrating reflected S-waves generated by microseismic events, as recorded by downhole Distributed Acoustic Sensing (DAS), to characterize hydraulic fractures in three dimensions. In contrast to existing fracture imaging techniques, which have encountered challenges in accurately representing fracture networks and often rely on simplified models, the proposed imaging technique does not assume that fractures are planar or in a pre-specified orientation. DAS seismic measurements benefit from the large aperture and dense spatial sampling enabled by the kilometers-long fiber and, therefore are able to capture a large number of strong reflections compared to traditional borehole geophones or accelerometers. We treat microseismic events as high-frequency sources and apply prestack Kirchhoff migration to each individual source after wavefield separation. Fracture imaging results for multiple selected events are then stacked to generate a 3D reflectivity volume, revealing subsurface fracture and fault networks in intricate detail. The high-resolution fracture images generated by the developed reflection migrating process illuminate the heart of the stimulated volume of the reservoir, a zone that is often challenging to access using conventional surface arrays or active sources. To validate the effectiveness of the proposed workflow, our study employs a dataset acquired during a multi-well project in the Eagle Ford Shale and Austin Chalk in South Texas. To assess the accuracy and reliability of the results, the reflection imaging output is integrated with both microseismicity distribution and strain measurements from low-frequency DAS for interpretation. The results of reflection imaging improve our understanding of fracture geometry including distal fractures that are away from the monitoring well, allow direct estimation of fracture height and length, and potentially signify the presence of pre-existing fluid-filled fault lineaments.
- North America > United States > Texas > West Gulf Coast Tertiary Basin > Eagle Ford Shale Formation (0.89)
- North America > United States > Texas > West Gulf Coast Tertiary Basin > Austin Chalk Formation (0.89)
- North America > United States > Texas > Sabinas - Rio Grande Basin > Eagle Ford Shale Formation (0.89)
- (9 more...)
Unsupervised Deep Learning Framework for 5D Seismic Denoising and Interpolation
Saad, Omar M. (National Research Institute of Astronomy and Geophysics (NRIAG), King Abdullah University of Science and Technology (KAUST)) | Helmy, Islam (National Research Institute of Astronomy and Geophysics (NRIAG)) | Chen, Yangkang (The University of Texas at Austin)
We propose an unsupervised framework to reconstruct the missing data from the noisy and incomplete five-dimensional (5D) seismic data. The proposed method comprises two main components: a deep learning network and a projection onto convex sets (POCS) method. The model works iteratively, passing the data between the two components and splitting the data into a group of patches using a patching scheme. Specifically, the patching scheme breaks the input data into small segments which are then reshaped to a vector of one dimension feeding the deep learning model. Afterward, POCS is utilized to optimize the output data from the deep learning model, which is proposed to denoise and interpolate the extracted patches. The proposed deep learning model consists of several blocks, that are, fully connected layers, attention block, and several skip connections. Following this, the output of the POCS algorithm is considered as the input of the deep learning model for the following iteration. The proposed model iteratively works in an unsupervised scheme where labeled data is not required. A performance comparison with benchmark methods using several synthetic and field examples shows that the proposed method outperforms the traditional methods.
- North America > United States (0.28)
- Asia (0.28)
Elliptical anisotropy is convenient to use as the reference medium in perturbation methods designed to study P-wave propagation for transverse isotropy (TI). We make the elliptically anisotropic TI model attenuative and discuss the corresponding P-wave dispersion relation and the wave equation. Our analysis leads to two conditions in terms of the Thomsen type parameters, which guarantee that the P-wave slowness surface and the dispersion relation satisfy elliptical equations. We also obtain the viscoacoustic wave equation for such elliptically anisotropic media and solve it for point-source radiation using the correspondence principle. For the constant-Q TI model, we use the weighting function method to derive the viscoacoustic wave equation in differential form. Numerical examples validate the proposed elliptical conditions and illustrate the behavior of the P-wavefield in attenuative elliptical TI models.
Submarine cable positioning using residual convolutional neural network based on magnetic features
Liu, Yutao (Chinese Academy of Sciences) | Wu, Yuquan (Chinese Academy of Sciences) | Huang, Liang (Zhejiang University) | Yang, Lei (Zhejiang Institute of Marine Geology Survey) | Kuang, Jianxun (Zhejiang Qiming Offshore Power Co., Ltd) | Yu, Wenjie (Zhejiang Qiming Offshore Power Co., Ltd) | Wang, Jianqiang (Zhejiang Institute of Hydrogeology and Engineering Geology) | Xu, Zhe (Zhejiang Engineering Survey and Design Institute Group Co., Ltd) | Li, Gang (Zhejiang University, Zhejiang University)
Accurate positioning is important for improving the efficiency of repairing submarine cables and reducing the related repairing cost. The magnetic anomaly produced by a submarine cable can be used to estimate its vertical and horizontal positions. A novel approach using magnetic data for estimating the position of submarine cables based on the 1-D residual convolutional neural network (RCNN) is investigated. Infinitely long ferromagnetic cylinder models with different parameters are used to generate datasets for the model training and testing. Tests on noisy synthetic datasets show that the developed 1-D RCNN method can capture detailed features related to the magnetic source position information, which are more accurate than the conventional Euler method in estimating the position of submarine cables. The developed 1-D RCNN method has also been successfully applied to processing field data. Furthermore, the processing workflow of our 1-D RCNN method is less noise sensitive compared with the conventional Euler method. The proposed 1-D RCNN method and its workflow open a new window for estimating the position of submarine cables using magnetic data.
Oghogho Effiom, SPE's Africa Regional Director, has been named one of the 2024 top 50 inspiring women in Nigeria by Business Day, a daily business newspaper based in Lagos. Throughout her 22-year career in the upstream oil and gas industry, Effiom has worked for Halliburton and Shell. She currently serves as Shell's domestic gas business opportunity manager. In 2021, she was named SPE's Africa Regional Director. Effiom was the 2020 chair of the SPE Lagos Section, winning the 2020 Presidential Award for the section.
In the vibrant world of energy education, Felicia Oluwadamilola Olaniran emerges as a guiding force, passionately dedicated to bridging the gap between classrooms and the energy sector. A Geoscience graduate from Olabisi Onabanjo University and an active member of the Society of Petroleum Engineers (SPE) Lagos Section 61, Felicia serves as an Energy4me Ambassador, driving impactful initiatives to ignite curiosity among students. In this episode of Get To Know, 2023 SPE Africa Regional Director Ogee Effiom shares insights from her extensive technical experience in upstream oil and gas management in both Nigeria and the United States. She also discusses achievements and lessons learned as an outgoing director. African oil and gas is increasingly becoming an investment magnet as new discoveries position the continent as a guarantor of energy security to emerging Asian nations and as Africa itself seeks to enter the 21st century.
- Africa > Sub-Saharan Africa (0.40)
- Africa > Nigeria (0.29)
- North America > United States (0.27)