Pre-stack Seismic Inversion for Potential Reservoirs’ Characterization in Oued Mya Basin, Algeria
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43807-3_16
Reference10 articles.
1. Bacetti A., Doghmane M. Z. (2020). A practical workflow using seismic attributes to enhance sub seismic geological structures and natural fractures correlation. In Conference proceedings, first EAGE digitalization conference and exhibition (pp 1–5)
2. Contreras, A., Torres-Verdin, C., Kvien, K., et al. (2005). AVA stochastic inversion of pre-stack seismic data and well logs for 3D reservoir modeling. In Conference proceedings, 67th EAGE conference and exhibition, cp-1–00310
3. Doghmane, M. Z., Belahcene, B., & Kidouche, M. (2019). Application of improved artificial neural network algorithm in hydrocarbons’ reservoir evaluation. In M. Hatti (Eds.), Renewable energy for smart and sustainable cities. ICAIRES 2018. Lecture notes in networks and systems 62. Springer, Cham
4. Doghmane, M. Z., & Belahcene, B. (2019). Design of new model (ANNSVM) compensator for saturation calculation based on logging curves for low resistivity phenomenon. In Conference proceedings, EAGE/ALNAFT geoscience workshop (pp 1–5)
5. Eladj, S., Lounissi, T. K., Doghmane, M. Z., & Djeddi, M. (2020). Lithological characterization by simultaneous seismic inversion in Algerian South Eastern field. Engineering, Technology and Applied Science Research, 10(01), 5251–5258.
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