'Seismic attributes' diaporamas de présentation

Using neural networks for porosity prediction from seismic attributes

Using neural networks for porosity prediction from seismic attributes. Daniel Hampson, Todor Todorov and Adrian Smith. Hampson-Russell Software Services Ltd. Outline. Deterministic vs data-driven approaches Methodology linear multi-regression analysis neural networks

750 views • 36 slides

Luff Exploration Company Mark Sippel, Consulting Engineer

Intelligent Computing System for Reservoir Analysis and Risk Assessment of Red River Formation Amor Field, Bowman County, ND DE-FC22-00BC15123. Luff Exploration Company Mark Sippel, Consulting Engineer. Statement of Problems. Integrating Seismic, Geologic and Engineering Data

581 views • 34 slides

Characterization of the plate boundary fault in the Nankai Trough:

Characterization of the plate boundary fault in the Nankai Trough: Insight from seismic attribute analysis and ODP data. Takeshi Tsuji, Y. Nakamura, H. Tokuyama (ORI, Univ. Tokyo), T. Matsuoka, Y. Yamada (Kyoto Univ.), S. Kuramoto (JAMSTEC), N. Bangs (Univ. Texas, Austin).

514 views • 34 slides

445 views • 30 slides

673 views • 16 slides

Morocco Offshore Potential and Promises

268 views • 16 slides

Lisa Stright and Anne Bernhardt Geological and Environmental Sciences STANFORD UNIVERSITY

298 views • 15 slides

Attribute Expression of Mass Transport Deposits in an Intraslope Basin- A Case Study.

Sequence 7: Flexuosa. Sequence 6: LacunosaA. Sequence 5: Truncatulinoides. Sequence 4: TrimA. Sequence 3: LacunosaVar. Sequence 2: MFS102. Sequence 1: GephyrocapsaL. NNW. SSE. Attribute Expression of Mass Transport Deposits in an Intraslope Basin- A Case Study.

163 views • 1 slides

Summary

Russia. Seismic attribute expression of an igneous reservoir in China Kui Zhang*, Zhonghong Wan , Kurt J. Marfurt ConocoPhillips School of Geology & Geophysics, University of Oklahoma. Mongolia.

105 views • 1 slides