Series-1Sep.-Oct. 2020 Issue Statistics
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Abstract: Background: The PCL well is located in Block 1 Seme Field of Benin Republic, Dahomey Basin. Effort is now being focused on the hydrocarbon exploration ofthe eastern Dahomey Basin in Nigeria and oil producing Tano Basin in Ghana so as to attract more investors and document information about it. Therefore, Palynostratigraphy of the Tertiary Offshore Dahomey Basin was carried out toexamine an important component of the organic matter forprovide better understanding of its Paleoecology and Paleoenvironmentusing the PCL- well as a case study. This study will give more insight on the offshore part of the basin (Seme Block1).......
Keywords: Paleoecology, Paleoenvironment, offshore Dahomey Basin, Monoporitesannulatus, Zonocostitesramonae,Monocolpitessp.
[1]. Adebiyi, A.O. Lithostratigraphy, Palynostratigraphy and Palynofacies Indications of the Depositional Environments of Upper Cretaceous to Paleogene Sediments, Offshore Eastern Dahomey Basin, SW Nigeria. Journal of Earth Science Research. 2014;2, 118-128. http://dx.doi.org/10.18005/JESR0204001[2]. Adebiyi, A.O. Upper Cretaceous to Paleogene Palynosequence Stratigraphy of H-1 Well Offshore Eastern Dahomey Basin, Southwestern Nigeria. International Journal of Research and Innovations in Earth Science (IJRIES). 2015;2, pp. 82-88.
[3]. Adegoke, E. S. Eocene Stratigraphy of Southern Nigeria. Bulletin Bureau de research geologic et Miners Memoirs. 1969; 69, pp. 22-48.
[4]. Adegoke, O.S., Dessauvagie, T.F.J. Kogbe, C.A. Ogbe, F.A.G. The Type Ewekoro (Paleocene) of western Nigeria, Biostratigraphy and Microfacies‖ In: 4th Collique African de Micropaleontologie, Abidjan. 1970; pp.27-39.
[5]. Adeigbe, O.C., Ola-Buraimo, A.O., Moronhunkola, A.O. Palynological Characterization of the Tertiary Offshore Emi-1 Well, Dahomey Basin, Southwestern Nigeria. International Journal of Scientific & Technology Research (IJSTR). 2013;2, pp. 58-70. http://www.ijstr.org
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Abstract: A detailed total intensity aeromagnetic survey was carried out in Wadi barqa, Southeastern of Sinai, Egypt; the magnetic data were corrected for the diurnal variations and reduced to the northern magnetic pole. The reduced to the magnetic pole map was qualitatively interpreted first through the magnetic separation by the 9-points Hanning filter into its regional and residual anomalies and second through the magnetic filtering in frequency domain into its low-pass and high-pass magnetic anomalies. The oldest tectonic trends seem to be rejuvenated and related to the opening of the Red Sea and the two gulfs. Furthermore, the reduced to the pole map was quantitatively interpreted first through the determination of the apparent magnetic intensity of the basement rocks, and through the basement depth determination by both the two-dimensional modeling and Euler deconvolution techniques. The basement relief map, according to either the step faults model or dikes and sills model reveals that the.....
Keywords: Structural trend Map; Wadi Barqa; Southeast of Sinai; Egypt.
[1]. Mekkawi, M., Elbohtoy, M., Aboud, E., 2007: Delineation of Subsurface Structures in the area of a Hot Spring, Central Sinai, Egypt based on Magnetotelluric andMagnetic Data. In: Proceeding of the 8th Conf. Geology of Sinai for Development, Ismailia, 2007, pp.29–39.
[2]. Basheer, A. A., & Alezabawy, A. K. (2020). Geophysical and hydrogeochemical investigations of Nubian sandstone aquifer, South East Sinai, Egypt: Evaluation of groundwater distribution and quality in arid region. Journal of African Earth Sciences, 103862.
[3]. McKenzie, D. P., Davies, D., & Molnar, P., 1970: Plate tectonics of the Red Sea and east Africa. Nature, 226(5242), 243-248.
[4]. Joffe, S., & Garfunkel, Z., 1987: Plate kinematics of the circum Red Sea—a re-evaluation. Tectonophysics, 141(1-3), 5-22.
[5]. Bosworth, W., Huchon, P., & McClay, K., 2005: The red sea and Gulf of Aden basins. Journal of African Earth Sciences, 43(1-3), 334-378.
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| Paper Type | : | Research Paper |
| Title | : | Automatic First Break picking with Deep Learning |
| Country | : | Netherlands |
| Authors | : | Chiel Fernhout || Paul Zwartjes || Jewoo Yoo |
| : | 10.9790/0990-0805012436 ![]() |
Abstract: A key step in seismic data processing is first break (FB) picking, or rather, determining the onset of the first seismic arrivals in seismic records. FB picking is tedious and time-consumingtask and robustness and efficient automatic method are essential. Many automated FB-picking algorithms already exist that reduce the dependence on human interaction. The goal of this project is to improve automated FB picking by capturing the expertise of FB picking through supervised training of deep neural network from the field of machine vision. We have evaluated several neural network architectures and found a seven layer U-net with skip connections to provide the best results on seismic shot gathers....
Keywords: seismic processing; first break; deep learning; U-net
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[3.] Duan, X., Zhang, J., Liu, Z., Liu, S., Chen, Z., and Li., W., 2018. "Integrating Seismic First-Break Picking Methods with a Machine Learning Approach". In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2018-2998293.1.
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